bluuebunny/crossref_metadata_2025 huggingface dataset:
Fine Depicting of Seepage Barrier for Gas Flooding in the Lower Wuerhe Formation Reservoir of the 8th District in China
Authors: Jiang Zhibin , Tang Hongming , Shen Rui , Wang Xiaoguang , Zhou Wei , Lian Liming , Qi Lisha , Xie Dan , Qian Chuanchuan , Wang Jie , Liu Xiao , Liu Qiyao
Published: June 2022

The lower Wuerhe formation reservoir of the 8th district is a blocky, ultra-low-permeability gravel reservoir with poor waterflooding development, and it is urgent to attack the gas injection gravity flooding. The barrier property of seepage barriers such as interlayers developed inside the reservoir is very important for the study of gas injection gravity flooding. The mineral composition, pore throat structure, and physical characteristics of the interlayer rocks were studied by X-ray diffraction (XRD) whole-rock analysis and nuclear magnetic resonance (NMR). The gas injection breakthrough pressure of the interlayer was studied by core breakthrough experiment and digital core simulation. Based on the determination of the interlayer criteria, logging was used to interpret and characterize the interlayer. The effects of different types of interlayer combinations on gas injection were studied by combining the physical model and numerical simulation methods. The results showed that the lithology of the interlayer in the lower Wuerhe formation of the 8th district was mainly mud-bearing fine gravel with microporosity, average porosity of 6.1% and permeability of 0.0043 mD. The interlayer gas injection breakthrough pressure and permeability were in a logarithmic linear relationship, and the lower limit of gas injection breakthrough under reservoir conditions was 0.003 mD. Initially, it is difficult to flood the upper remaining oil of the gas injection due to the blockage of the interlayer, while in the middle and late stage, the gas-liquid interface gradually reached stability with the increase in injected gas, which has little impact on the final recovery. These results indicate that it is feasible to carry out gas injection gravity flooding in this reservoir.
Spring Festival Holiday Tourism Data Mining Based on the Deep Learning Model
Authors: Wang Ruijun
Published: June 2022

With the advent of the era of big data, people have entered a situation of information overload, how do users filter out the information they need from a large amount of information. When users browse the website, they will record their search or click behavior, and the recommendation system will mine the data based on these data, and recommend the information they need for each user. With the birth of the recommender system, it has indeed changed the way people obtain information. Instead of relying solely on search engines to obtain information, it can obtain the information they want without people’s “consciousness.” This shift has made it easier for people to access information. This paper conducts research on travel recommendation during the Spring Festival holiday. The paper introduces deep learning model and data mining technology, proposes that the recommendation system has three important modules, and obtains the corresponding flowchart. The recommendation system was optimized, and a comparison chart of coverage before and after optimization was obtained. Before optimization, the coverage rate of cities and scenic spots was 45.52% and 21.25%, respectively, and reached 55.65% and 49.81% after optimization.
Abstract A04: NCI programs supporting technology development for population studies in digital age
Authors: Mechanic Leah E. , Carrick Danielle M. , Dickherber Tony , Klemm Juli ,   NCI Innovative Molecular Analysis Technologies (IMAT) Program, NCI Informatics Technology for Cancer Research (ITCR) Program
Published: June 2022

Cancer is the result of a complex interplay of genetic, environmental, host, and societal factors operating over a prolonged time. The development of novel molecular technologies and informatics tools can facilitate a more comprehensive study of the risk factors contributing to the development of and outcomes from cancer in population studies. The National Cancer Institute (NCI) leads two programs in this area: the Innovative Molecular Analysis Technologies (IMAT) Program and the Informatics Technology for Cancer Research (ITCR) Program. IMAT supports the development, technical maturation, and dissemination of novel and potentially transformative next-generation technologies. ITCR program supports research-driven informatics technology development spanning all aspects of cancer research and stages of tool development, from algorithm development to prototyping, enhancement, and sustainment of these tools. The funding opportunities through these programs can support the development and application of new technologies for epidemiology research. For example, molecular technologies may address needs in areas such as exposure assessment, epigenetics, genomics, transcriptomics, imaging, and collection of biospecimens. Informatics technology needs may include genomic tools for data analysis, interpretation and visualization, annotation of genetic variants, supporting sharing of data, natural language processing of electronic health records (EHRs), managing cohort data collection, data harmonization, and extracting unstructured phenotype data from medical records. Importantly, the tools and resources that have been developed through these programs can be leveraged for use by epidemiology researchers. Learn more about the funding opportunities and technologies developed through these programs at https://imat.cancer.gov and https://itcr.cancer.gov.

Citation Format: Leah E. Mechanic, Danielle M. Carrick, Tony Dickherber, Juli Klemm, NCI Innovative Molecular Analysis Technologies (IMAT) Program, NCI Informatics Technology for Cancer Research (ITCR) Program. NCI programs supporting technology development for population studies in digital age [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A04.
Abstract A05: Fusobacterium nucleatum and clinicopathologic features of colorectal carcinoma: Results from the ColoCare Cohort
Authors: Mallea Patrick , Warby Christy A. , Stephens W. Zac , Gigic Biljana , Buhrke Kate , Lin Tengda , Boehm Juergen , Hardikar Sheetal , Santori Elisa K. , Schrotz-King Petra , Schneider Martin , Ulrich Alexis , Swanson Eric A. , Toriola Adetunji T. , Round June , Ulrich Cornelia M. , Holowatyj Andreana N. , Ose Jennifer
Published: June 2022

Background: Fusobacterium nucleatum (Fn) plays an active role in normal host physiology and has been associated with colorectal carcinogenesis. To date, the role of Fn in newly diagnosed colorectal cancer patients is unclear. This is the first study to evaluate associations between Fn abundance and clinicopathologic characteristics among neoadjuvant chemotherapy naïve colorectal cancer patients.

Methods: We used presurgery collected fecal stool samples from n=101 prospectively followed, newly diagnosed colorectal cancer patients from the ColoCare Cohort. Quantitative real-time polymerase chain reaction was used to amplify/detect Fn DNA in neoadjuvant chemotherapy-naïve patients, not using antibiotics for at least 1 month. Patients were classified into Fn-high (n=50) or Fn-low (n=51) groups based on median Fn Cycle thresholding (Ct) values (low≤16.72; high>16.72) in fecal DNA. Multivariable regression was utilized to analyze associations between Fn and clinicopathologic characteristics such as tumor stage, tumor site, and tumor grade.

Results: We did not observe statistically significant differences in clinicopathologic or demographic characteristics by Fn abundance groups. Compared to the Fn-low patient group, Fn-high patients were 69% more likely to be diagnosed with stage III colorectal cancer (odds ratio [OR]=1.69, 95% confidence interval [CI] 1.56-15.93, P=0.0067), while there was no difference for stage I or II.

Conclusion: Human gut microbial composition, including Fusobacterium nucleatum abundance, may be linked to colorectal cancer progression.

Citation Format: Patrick Mallea, Christy A. Warby, W. Zac Stephens, Biljana Gigic, Kate Buhrke, Tengda Lin, Juergen Boehm, Sheetal Hardikar, Elisa K. Santori, Petra Schrotz-King, Martin Schneider, Alexis Ulrich, Eric A. Swanson, Adetunji T. Toriola, June Round, Cornelia M. Ulrich, Andreana N. Holowatyj, Jennifer Ose. Fusobacterium nucleatum and clinicopathologic features of colorectal carcinoma: Results from the ColoCare Cohort [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A05.
Abstract A10: Using large linked databases to understand cancer care access in northwestern Ontario, Canada
Authors: Febbraro Michela , Conlon Michael , Caswell Joseph , Laferierre Nicole
Published: June 2022

Residents in Ontario, Canada have universal public health insurance, and the Ontario Health Insurance Plan (OHIP) and almost all medically necessary services are captured in large linked databases. We leveraged these databases through the Ontario Cancer Data Linkage Project (cdLINK), to help us better understand access to cancer care for patients who reside in Northwestern Ontario, Canada. Northwestern Ontario is an area that covers a large geographic landmass (>385,000 square kilometers) with low population density (0.4 people per square kilometer), and these factors often make the provision of health care challenging. This population-based retrospective study used the Ontario Cancer Registry (OCR) to define a cancer cohort of all residents of Northwestern Ontario who had a primary diagnosis of cancer, who were alive for at least 30 days, and who died from any cause between 2010 and 2016. Each index cancer case was linked with OHIP and Registered Persons Database (RPDB), and from these administrative sources we defined whether a consultation occurred, as well as selected sociodemographic factors associated with a consultation. We identified 2583 index cases (2010-2016). Of these, 78% (n=2007/2583) had receipt of a specialist consultation, defined as either a medical or radiation oncologist consultation. Factors associated with not receiving a specialist consultation included older age (p<0.0001, Odds Ratio (OR) 0.29; 95% Confidence Interval (CI) 0.19-0.44) and rural residence (p<0.0001, OR 0.48; 95% CI 0.48-0.72). Factors associated with receiving a specialist consultation included increased duration of disease (p<0.0001, OR 1.32; 95% CI 1.19-1.46), a diagnosis of breast cancer (p<0.0001, OR 2.51; 95% CI 1.43-4.42), and a diagnosis of lung cancer (p<0.0001, OR 1.77; 95% CI 1.38-2.26). Linkage of administrative health records offers an important opportunity to understand access to care and factors associated with access to care. Future planned research will explore health services utilization and outcomes from cancer care in residents of Northwestern Ontario.

Citation Format: Michela Febbraro, Michael Conlon, Joseph Caswell, Nicole Laferierre. Using large linked databases to understand cancer care access in northwestern Ontario, Canada [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A10.
Abstract A12: Evaluating physician network-based measures of care coordination through the lens of the patient experience
Authors: Moen Erika L. , Bynum Julie P.
Published: June 2022

There is significant promise in analyzing physician patient-sharing networks to construct indirect measures of care coordination by defining relationships between physicians based on shared patients. This approach has the potential to uncover how otherwise latent organizational aspects of health care systems impact patient outcomes. A key challenge to this approach is how the various measures used to describe these networks infer the complex realities of health care delivery. The extent of patient-sharing relationships within physician networks has been associated with care utilization, cost of care, and some measures of care quality. While this approach has been validated to signal true professional relationships between physicians from the physicians’ perspective, it is unknown whether these measures reflect patients’ perceptions of their own care coordination. The objective of this study is to evaluate the associations between network-based measures of care coordination and patient-reported experience measures. We linked three publicly available data sources released by Centers for Medicare and Medicaid Services (CMS) that include national data on physician patient sharing in 2015, physician participation in a group practice, and patient-reported quality performance for group practices based on responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016. The outcomes of interest were patient-reported experience measures reflecting “Between visit communication,” “Clinicians working together for your care,” and “Getting timely care, appointments, and information” (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for total number of physician pairs) and clustering (the extent to which sets of three physicians all share patients). There were 476 groups that had patient-reported measures available. Patients’ perception of “Clinicians working together for your care” was significantly positively associated with both physician group practice density (p=0.02) and clustering (p=0.006). Physician group practice clustering was also significantly positively associated with “Getting timely care, appointments, and information” (p=0.005). This work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.

Citation Format: Erika L. Moen, Julie P. Bynum. Evaluating physician network-based measures of care coordination through the lens of the patient experience [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A12.
Abstract A13: Linking cancer and vaccine registries in a retrospective cohort study: Risk of metastasis following perioperative vaccine use among cancer patients
Authors: Righolt Christiaan H. , Zhang Geng , Mahmud Salaheddin M.
Published: June 2022

Background: Surgical removal of solid tumors is a frequent treatment for cancer patients. Immunosuppression after surgery, which suppresses natural killer (NK) cells, increases the risk of metastasis (mets). Preclinical and animal studies have shown that perioperative vaccination can prevent postoperative NK cell dysfunction and may reduce the risk of mets. In the first epidemiologic study of its kind, we investigated this intriguing hypothesis in the Canadian province of Manitoba (MB).

Methods: We linked the MB Cancer Registry, containing all cancer diagnoses and cancer-specific therapy in MB, with the MB Immunization Monitoring System and other administrative health databases covering >99% of the population. We identified all first cancer surgeries conducted during 1994-2014 in MB for an invasive, nonmetastatic, primary, solid cancer. We followed patients from their date of surgery to the earliest date of metastasis, 2nd primary cancer, 2nd cancer surgery, death, loss of coverage, or study end. We used competing-risk Cox models adjusted for age at surgery, gender, comorbidities, and cancer stage at diagnosis.

Results: Out of 29,120 persons with a cancer surgery, 0.2% and 0.4% received a vaccine, mostly seasonal flu vaccines, 2-4 and 0-5 days before surgery respectively, and 21.8% developed metastasis during follow-up. Compared to those vaccinated 30 days before to 14 days after surgery outside of the specific time window, the hazard ratio of the association between vaccination 0-5 days before surgery and metastasis was 0.72 (0.32-1.61) for a 15-year follow-up, and the association was 0.44 (0.11-1.78) for vaccination 2-4 days before surgery.

Conclusion: In this relatively small study, we found evidence for a strong association between vaccination just before cancer surgery and long-term occurrence of mets. Further studies of this associations in humans are warranted; they must be sufficiently large to investigate potentially narrow windows of vaccine effectiveness, and they could use biomarkers of mets as intermediate endpoints.

Citation Format: Christiaan H. Righolt, Geng Zhang, Salaheddin M. Mahmud. Linking cancer and vaccine registries in a retrospective cohort study: Risk of metastasis following perioperative vaccine use among cancer patients [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A13.
Abstract A22: Challenges using mobile technology for research participation in preventive health research: A preliminary investigation with Spanish-speaking Latinas
Authors: Fernandez Alejandro , Serrano Mayra , Garcia Marisela , Nerio Katty , Ashing Kimlin
Published: June 2022

Technology offers significant contributions to improve health care. However, less than half of foreign-born Latinos utilize data applications. The acceptability and application of these new communication and data harnessing tools can present both opportunities and challenges for some. We report our observations of the challenges Latinas face using mobile technology. Latina mothers were recruited from a pilot diabetes risk reduction program. A total of 32 mothers participated in the program; 63% were Spanish speakers, 59% were foreign-born, 66% had ≤high school education, and 91% reported income <$40,000. Participants used a mobile device to perform two tasks: 1) complete an online survey on a tablet and 2) download and install a fitness tracker mobile application. Mothers rated their confidence in their ability to use mobile technology using a 4-point Likert scale. Participants with little/no confidence requested paper versions of the survey. Most mothers required staff assistance to complete the survey and set up their fitness tracker. Spanish-speaking mothers were more likely to report little/no confidence connecting to Wi-Fi (χ2=13.175, p<0.01), downloading an app (χ2=11.277, p=0.01), and creating an electronic account (χ2=7.882, p<0.05). Although participants were smartphone users, the majority needed dedicated, individual assistance to complete the tasks (e.g., survey and app). Growing evidence suggests that Latinos have the capacity to use mobile technology to increase healthy behaviors. Our findings suggest that lower-income Spanish speakers require more assistance with technology for research data collection. Studies and programs using mobile technology should account for the added staffing and resources required to conduct studies with this population.

Citation Format: Alejandro Fernandez, Mayra Serrano, Marisela Garcia, Katty Nerio, Kimlin Ashing. Challenges using mobile technology for research participation in preventive health research: A preliminary investigation with Spanish-speaking Latinas [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A22.
Abstract A23: Using Internet-platform technology to train community-based researchers in developing countries: Lessons Learned from a Caribbean study
Authors: Thomas-Purcell Kamilah B. , Primus-Joseph Marva , Richards Christine , James Ann Marie McBurnie , Blaze Julie , Atkins Lydia , Wiley Patsy , Ashing Kimlin Tam
Published: June 2022

As cancer increases as a global health challenge, the use of available technological platforms for communication is required. To develop a collaborative program of cancer prevention research between the U.S. and the Caribbean, we relied on several mobile phone and Internet-based communication platforms. In 2016-2017, a two-phase advocacy-engaged research study was initiated to determine 1) women’s perceptions of breast and cervical cancer screening and 2) gatekeepers’ perceptions of the quality and availability of breast and cervical cancer screening and treatment services in the four countries of the English-speaking Windward Islands. Our results revealed that mobile communication and Internet-platform technologies successfully trained Caribbean community researchers on qualitative data collection and analysis methods as well as dissemination strategies. In particular, mobile platforms including GoToTraining, WhatsApp, YouTube, Dedoose, Google Drive, and email were used to deliver interactive training modules to community researchers in the Caribbean. The Internet-based technology enhanced training, communication, and social interactions. Additionally, it facilitated the collaborative development of recruitment materials and data collection instruments, data management, reports, manuscripts, and results dissemination. Community and academic researchers agreed that use of technology fostered a cost-effective and efficient collaborative process. The availability and use of communication technology are especially critical for researchers addressing the raising global cancer burden, particularly in resource-poor countries. Advocacy-engaged, technology-facilitated cancer research has the potential to cultivate and sustain community capacity and infrastructure for international research partnerships by building bridges via the use of mobile and Internet-based technology.

Citation Format: Kamilah B. Thomas-Purcell, Marva Primus-Joseph, Christine Richards, Ann Marie McBurnie James, Julie Blaze, Lydia Atkins, Patsy Wiley, Kimlin Tam Ashing. Using Internet-platform technology to train community-based researchers in developing countries: Lessons Learned from a Caribbean study [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A23.
Abstract A25: Collecting gut microbiome in the 10,000 Families Study
Authors: Prizment Anna , Gabrielson Deanna , Lazovich DeAnn , Minnerath Sharon , Nelson Heather H. , Poynter Jenny N. , Reilly Cavan , Roesler Michelle , Spector Logan G. , Thyagarajan Bharat
Published: June 2022

The 10,000 Families Study (10KFS) is a family-based prospective cohort study, the goal of which is to collect information about health-related outcomes, including cancer, in multigeneration families. Since 2017, we have been conducting a pilot feasibility study to prepare for the implementation of 10KFS. At baseline, eligible participants answer a questionnaire about demographics and lifestyle factors and attend a health fair during which trained staff measure their blood pressure, vision, hearing, and several other characteristics, as well as collect blood, urine, and saliva. Also, during the heath fair participants receive easy-to-use kits that enable them to collect stool samples in the convenience of their home. The method for stool collection to characterize gut microbiome in this study was chosen based on a small pilot of three methods: (1) Omnigene Gut (DNA Genotek), (2) iSWAB-Microbiome Collection Kit (Mawi Corporation), and (3) a homemade kit including a BD culture swab and vial with RNAlater preservative. The second method (iSWAB) was unanimously chosen by the volunteers as most acceptable due to the ease of stool collection. The acceptability and reduction of the participant’s burden are of primary importance in this study, since an adult participant often collects stool samples from one or more of their children. The quality of DNA assessed by spectrophotometry (based on 260/280 and 260/230 ratios) was similar for the iSWAB and the Omnigene kits (gold standard), and the quantity using the iSWAB kit was sufficient to characterize gut microbiome. Thus, in our study, stool samples are collected by participants using iSWAB kits and then returned by mail within four days of collection to the central laboratory biorepository at the University of Minnesota – Advanced Research and Diagnostic Laboratory, where they are immediately frozen and stored at -80°C. To date, stool samples from 62 participants aged 0 to over 90 years have been returned (out of 139 kits that were given to participants). This collection method meets the requirements necessary for stool collection in large population studies: (1) it is fast and easy for participants to use; (2) a preservative in the tube allows stool samples to be kept without freezing for up to 8 weeks while maintaining intact and viable bacteria; (3) samples use little space during shipment and storage; and (4) the method is cost efficient.

Citation Format: Anna Prizment, Deanna Gabrielson, DeAnn Lazovich, Sharon Minnerath, Heather H. Nelson, Jenny N. Poynter, Cavan Reilly, Michelle Roesler, Logan G. Spector, Bharat Thyagarajan. Collecting gut microbiome in the 10,000 Families Study [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A25.
Abstract A29: A tale of two diverse Qualtrics samples: Information for online survey researchers
Authors: Miller Carrie A. , Guidry Jeanine
Published: June 2022

Background: Online recruitment and sampling can be particularly effective in targeting specific groups. The use of quota sampling (i.e., the nonrandom sampling of individuals belonging to a specific subgroup) in online panel research can help researchers obtain survey participants matching a specific condition of interest to the researcher. Despite the advantages of online samples, many researchers are either unaware of or skeptical about the use of online panels for sample acquisition.

Purpose: The purpose of this study was to describe the recruitment and respondent characteristics of two disparate samples derived from online panels for survey research. This information is needed to inform researchers on what to expect when administering an online survey and recruiting participants through a commercial research platform.

Methods: A commercial survey sampling and administration company, Qualtrics, was contracted to recruit participants and implement two Internet-based surveys. The first survey targeted adults aged 50-75 years old. This survey utilized sampling quotas to obtain a sample that was diverse with respect to household income and race. The comparison study focused on women aged 18-49 years and used quota sampling to help achieve a geographically balanced sample. The two surveys were approximately equivalent in terms of survey duration and participant remuneration.

Results: Although each survey recruited the desired number of respondents within a relatively short period of time, differences in the participant flow were observed between studies. Recruitment of the older adult sample took longer than the study focused on young adult women. Differences in the variables related to sampling quotas were also significant. Furthermore, the proportions of respondents who initiated, completed, screened out, failed a quality check, and failed to complete the survey were inconsistent across studies.

Conclusion: Results of this novel research have important implications for the development of future online surveys using samples recruited from online panels. Conclusions provide practical guidance related to Internet survey design and recruitment procedures.

Citation Format: Carrie A. Miller, Jeanine Guidry. A tale of two diverse Qualtrics samples: Information for online survey researchers [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A29.
Abstract A31: Online panel sample recruitment and characteristics: An analysis of those who initiate versus complete an Internet survey
Authors: Miller Carrie A. , Thomson Maria
Published: June 2022

Background: Using online research panels can be a quick and efficient means of sample acquisition and data collection. Despite this strength, there is often a lack of transparency in the recruitment of panelists and insufficient consideration of how samples derived from online panels compare to relevant populations and other research samples.

Purpose: The purpose of this study was to inform researchers on what to expect when administering an online survey and recruiting participants using quota sampling through a commercial research panel. The sociodemographic characteristics of those who completed the survey were compared to those who initiated but did not complete it. The survey exit point of noncompleters was also examined.

Methods: A total of N=419 eligible respondents completed an online survey administered via Qualtrics. In addition to study-specific eligibility criteria, sampling quotas were implemented for race and income.

Results: The majority of panelists who provided consent and were eligible for participation went on to complete the survey. The sociodemographic profiles were similar between survey completers and eligible respondents who initiated but did not complete the survey. Survey completers were relatively similar to the U.S. population 50+ years old. Subtle differences were noted in marital status, income, education, and employment status, but were likely related to the derived sample being more racially and economically diverse. Other implications for the use of quota sampling, the placement of key items, and survey length were discussed.

Conclusion: Quota sampling from an online panel can effectively produce a targeted and diverse sample with reasonable internal and external validity.

Citation Format: Carrie A. Miller, Maria Thomson. Online panel sample recruitment and characteristics: An analysis of those who initiate versus complete an Internet survey [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A31.
Abstract A34: Differences between self-reported and electronically monitored adherence among Korean breast cancer patients receiving endocrine therapy
Authors: Min Yul Ha , Lee Sae Byul , Lee Minsun
Published: June 2022

Background: The aim of this study was to compare self-report medication adherence measure with adherence data collected from Medication Event Monitoring System (MEMS) electronic monitors in Korean breast cancer survivors.

Methods: Between June 2017 and January 2018, patients who planned to take endocrine therapy (ET) were recruited for this observational cohort study. Adherence was assessed by participants’ self-reports at 3 different time points and by MEMS for the first 12 months of ET. The time points 1, 2, and 3 were at approximately 3 months, 6 months, and 12 months after initiation of ET. MEMS data that had the date and time of each pill bottle opening were used to calculate electronically monitored adherence (MEMS adherence). Self-reported and MEMS adherence measures were matched and compared for 146 patients.

Results: The mean [±SD, interquartile range (IQR)] self-reported adherence and MEMS adherence were 95% (±11, 95-100%) and 84% (±16, 80-95%), respectively. The mean (±SD) difference between the self-reported adherence and the MEMS adherence was 11% (±13). Among those who self-reported no missed doses (self-reported adherence 100%) for 3 or 6 months, mean MEMS adherence and the proportion with MEMS adherence >90% (good adherence) were 89% and 64%, respectively. In comparison, among those who self-reported adherence 97-99%, 93-96%, 90-92%, and <90%, mean MEMS adherence was 86%, 83%, 79%, and 56% respectively, and the proportion with MEMS adherence >90% was 35%, 36%, 17%, and 0%, respectively. The difference between the two adherence measures increased over time. The differences at the time points 1, 2, and 3 was 9%, 11% and 17%, respectively. There was a strong relationship between the two adherence measures (r=0.59, p<0.001).

Conclusions: There is a sizable and significant difference between self-reported and MEMS adherence. However, self-reported adherence correlated by MEMS adherence suggests that self-reported adherence gives a useful measure for clinical monitoring. This work was supported by the National Research Foundation of Korea grant funded by the Korea government (No. 2018R1A1A3A04076879).

Citation Format: Yul Ha Min, Sae Byul Lee, Minsun Lee. Differences between self-reported and electronically monitored adherence among Korean breast cancer patients receiving endocrine therapy [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr A34.
Abstract IA03: Digital health and health equity
Authors: Menon Usha
Published: June 2022

The explosion of digital health strategies has the potential to expand our reach across communities. Emerging technologies have the potential to reduce cancer health disparities by influencing lifestyle, genomics, and precision health care. However, evaluation of the impact of such technologies across marginalized groups is still in its infancy. As such, investigations into the connections between cancer health inequity and digital innovations are critical to actualize benefits evenly across communities. Otherwise, the use of technological innovations may be well be resisted or may lead to exacerbation of cancer disparities. This presentation will highlight emerging technologies in health research and strategies to leverage reduction of health disparities.

Citation Format: Usha Menon. Digital health and health equity [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA03.
Abstract IA10: Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications
Authors: Ohno-Machado Lucila
Published: June 2022

I will present recent initiatives to promote FAIR (Findable, Accessible, Interoperable, and Reusable) data utilization for biomedical research and health care. Among these initiatives are a Data Discovery Index developed for NIH’s Big Data to Knowledge initiative, and several tools to protect privacy while applying artificial intelligence/machine learning methods on electronic health record data. Finally, I will contrast institution-based and patient-based strategies to share health care data for research.

Citation Format: Lucila Ohno-Machado. Finding, accessing, interoperating with, and reusing clinical data in artificial intelligence applications [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA10.
Abstract IA11: Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics
Authors: Stumpe Martin C.
Published: June 2022

Rendering cancer diagnoses is a highly complex process that requires many years of expert training. It involves challenging tasks for pathologists, such as identifying rare events in very large images or classifying subtle differences between morphologically very similar tumor grades that have very different treatment plans. These tasks are typically more challenging for human cognition, and, consequently, over- and underdiagnoses are not uncommon, resulting in nonoptimal treatment selection. This talk will discuss recent advances in the application of artificial intelligence to cancer diagnostics, and the potential as well as challenges in translating the research progress into positive impact on patient’s lives.

Citation Format: Martin C. Stumpe. Artificial intelligence or artificial inelegance—the state of AI in cancer diagnostics [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA11.
Abstract IA12: A prospective cohort study embedded into integrated health care systems in the US to study cancer etiology, prevention, and early detection
Authors: Chanock Stephen ,   on behalf of the Cohort Executive Committee
Published: June 2022

The Division of Cancer Epidemiology and Genetics is conducting a new prospective cohort study of 150,000-200,000 adults in the US to further investigate the etiology of cancer and its outcomes, which can inform new approaches in precision prevention and early detection. The new cohort will capitalize on recent developments that provide unprecedented opportunities to advance the field of cancer epidemiology and prevention, including 1) innovative technologies (e.g., tracking and sensor technologies to measure behavior and environment); 2) large-scale analyses of the genome, epigenome, transcriptome, proteome, metabolome, and microbiome; 3) molecular profiling of tumors and precursor lesions to study the natural history of cancer and its etiologic heterogeneity. This cohort will be conducted within a set of integrated health care systems (HCS), with electronic medical records (EMRs), a passive follow-up system that is both cost effective and thorough, and existing clinical infrastructure for specimen collection. Consented participants will complete an online questionnaire at baseline and periodically throughout the duration of follow-up. Passive follow-up via tumor registries and EMRs will provide outcome information for cancers and their precursors. Blood, urine, and saliva samples will be collected at baseline and repeatedly during follow-up in local clinics. Additional biologic specimens including fecal and tissue specimens will be collected. This state-of-the-art cohort will be built with an efficient, flexible, and integrated infrastructure that makes the most of modern interoperability standards in order to serve as a research workhorse for future generations of scientists in the intramural and extramural research community.

Citation Format: Stephen Chanock, on behalf of the Cohort Executive Committee. A prospective cohort study embedded into integrated health care systems in the US to study cancer etiology, prevention, and early detection [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA12.
Abstract IA14: Linking heterogeneous data to enable knowledge discovery in health care
Authors: Hernandez-Boussard Tina
Published: June 2022

The vision of precision medicine relies on the linkage of large-scale clinical, molecular, environmental, and patient-generated datasets. Traditionally, diverse data streams have been analyzed independently, including the wealth of information captured in electronic health records (EHRs). However, to successfully leverage the volumes of data that can be used in health care, cross-modality integration is necessary. We have developed a clinical data warehouse for prostate cancer that integrates multiple data streams, from structured EHR data to imaging, state registries to patient-generated data, as well as the rich granular information contained in unstructured clinical narrative text. This rich, longitudinal dataset facilitates secondary data use and enhances observational research in oncology. We have developed advanced machine learning approaches to analyze these data. Our methods can accurately classify patients into clinical and pathologic stage groups and prognostic risk groups. These classifications can be used at point of care to guide optimal treatment pathways based on evidence-based guidelines (e.g., identify high-risk patients for whom a radionuclide bone scan is recommended). Furthermore, linking routinely collected patient surveys to EHRs reveals important differences in global physical and mental health between demographic and clinical subgroups. Giving clinicians visibility into these patient-reported outcomes can help personalize treatment pathways and may inform population health initiatives to support vulnerable groups. The granular health data we collect and link also provide population-based views into changes in treatment patterns and effects from policy changes, e.g., changes to PSA screening guidelines. The integration of diverse data streams presents unique technical, semantic, and ethical challenges; however, our work suggests that multimodal clinical data can significantly improve the performance of prediction algorithms and guide treatment decisions, powering knowledge discovery at the patient and population level.

Citation Format: Tina Hernandez-Boussard. Linking heterogeneous data to enable knowledge discovery in health care [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA14.
Abstract IA16: Precision behavior change via digital health technologies
Authors: Hekler Eric B.
Published: June 2022

Background: Unsustainable growth in the complexity and cost of health care and health promotion is creating new opportunities for supporting the health and well-being of individuals. In particular, there are exciting opportunities for more human-centered and personalized strategies for fostering health and treating disease that are delivered via mobile health technologies.

Purpose: The purpose of this presentation is to present prior and ongoing work that my colleagues and I have been conducting to advance “precision behavior change” interventions that are human-centered, preventive, cost-effective, and complementary to other preventive behavior change efforts.

Outline: The talk will begin with a brief summary of the state of the field in terms of digital health interventions and the use of technology. Following this, a conceptual model of different types of precision behavior change interventions will be provided and concrete examples of each approach will then be presented. The talk concludes with acknowledgment of key challenges in this domain and also future areas of possible growth, particularly in the realm of supporting more individuals in actively taking part in the scientific process.

Citation Format: Eric B. Hekler. Precision behavior change via digital health technologies [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA16.
Abstract IA18: How digital disintermediation (“apps”) and cloud computing change the precision prevention landscape
Authors: Almeida Jonas S.
Published: June 2022

The emergence of cloud-based data commons is both a response to the call for fair scientific data stewardship and to the challenge of scaling consumer-facing precision medicine. The advancement towards cloud-hosted cancer data platforms mirrors a broader trend towards stateless API ecosystems for user-governed application development. This is particularly the case in cancer prevention, where the goal ultimately is to avoid the need for treatment. Accordingly, reference data will typically be exposed publicly, while its contextualization will rely on the individual’s own mobile computing resources through web applications (“apps”). This discussion will be illustrated with a number of practical applications, ranging from serverless traversal of the 20 million patient-encounter records of New York’s Statewide Planning and Research Cooperative System (SPARCS) to the contextualization of NCI’s Genomic Data Commons (GDC). Presentation material at bit.ly/appCommons; open source code at github.com/episphere.

Citation Format: Jonas S. Almeida. How digital disintermediation (“apps”) and cloud computing change the precision prevention landscape [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA18.
Abstract IA19: EHR-based tools and algorithms for managing cardiovascular risk among survivors
Authors: Foraker Randi E.
Published: June 2022

During a clinical encounter, providers are often distracted from having conversations with their patients about their health status and disease risk, given the need to document clinical data in the electronic health record (EHR). The promise of the EHR is that the data entered by providers during a clinical encounter can be used for real-time patient monitoring and shared-decision making, and for secondary use by researchers. EHRs have the ability to bring data to life, to make clinical data relevant for patients and providers, and to allow for a more efficient and patient-centered clinical encounter. To do so effectively, we cannot lose sight of the importance of stakeholder engagement when developing EHR-based tools and algorithms. This talk will describe the process for creating an EHR-based tool for addressing cardiovascular health in the primary care setting. The tool was designed to automatically pull data from a variety of clinical sources, and its use resulted in improvements in cardiovascular health among patients. In the context of this project, we demonstrated 1) use of an evidence-based cardiovascular health algorithm at the point of care; 2) usability of the tool by providers; 3) improvements in cardiovascular health among patients with access to the tool; and 4) informatics can be considered an interventional discipline. The result of this work encouraged us to consider other settings in which this tool could be implemented and evaluated. Since cancer survivors are at increased risk for cardiovascular disease due to having poorer cardiovascular health compared to the general population as well as their potential for receipt of cardiotoxic cancer therapies, we refined the aforementioned tool with the input of oncology providers. This talk will enumerate the lessons learned from the process of adapting an existing EHR tool for use among a new population of patients and providers. Next steps for this work will include modifying existing cardiovascular disease risk scores for validation among cancer survivors. Current algorithms tend to underestimate cardiovascular disease risk among survivors since they take into account traditional cardiovascular risk factors but not factors that represent the unique experience of cancer survivors, including receipt of cancer therapies that may increase the risk for cardiovascular disease in this population. It is critical for algorithms to learn from new evidence and evolve to better predict risk among patients. This talk will outline best practices for the creation of algorithms that can complement EHR-based tools and serve as a resource for shared decision-making for disease prevention and management.

Citation Format: Randi E. Foraker. EHR-based tools and algorithms for managing cardiovascular risk among survivors [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr IA19.