bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of malignant calcification identification between breast cone-beam computed tomography and digital mammography
Authors: Liu Aidi , Ma Yue , Yin Lu , Zhu Yueqiang , Lu Hong , Li Haijie , Ye Zhaoxiang 
Published: July 2022

Background Calcifications are important abnormal findings in breast imaging and help in the diagnosis of breast cancer. Purpose To compare breast cone-beam computed tomography (CBCT) with digital mammography (DM) in terms of the ability to identify malignant calcifications. Material and Methods In total, 115 paired examinations were performed utilizing breast CBCT and DM; 86 pathology-proven malignant lesions with calcifications detected on DM and 29 randomly selected breasts without calcifications were reviewed by three radiologists. The ability to detect calcifications was assessed on CBCT images. The characterization agreement of two imaging modalities was evaluated by the kappa coefficient. For breast CBCT images, the parameters for the display of calcifications were recorded. The Kruskal–Wallis test was used to compare the preferred slice thickness chosen by each of the three radiologists. The degree of calcification clarity was compared between two modalities using the Mann–Whitney U-test. Results The combined sensitivity and specificity of three radiologists in 85 DM-detected calcifications detection on breast CBCT images were 98.43% (251/255) and 98.85% (86/87), respectively. CBCT images showed substantial agreement with mammograms in terms of the characterization of calcifications morphology (k = 0.703; P < 0.05) and distribution (k = 0.629; P < 0.05). CBCT images with a slice thickness of 0.273 mm and three-dimensional maximum-intensity projection (3D-MIP) were more beneficial for calcifications identification. No statistically significant difference was found between standard DM views and CBCT images for three radiologists on calcification display clarity. Conclusion CBCT images were comparable to mammograms in calcification identification and may be sufficient for malignant calcifications detection and characterization.
Sequential therapy for pancreatic cancer patients with synchronous oligo-hepatic metastatic lesions
Authors: Lu Wenjie , Wang Lantian , Lou Jianyao , Tang Kezhong 
Published: July 2022

Background: Treatments for patients suffering from pancreatic cancer with oligo-hepatic metastasis have always been a cause of certain controversy. Herein, we reported 15 pancreatic cancer patients with oligo-hepatic metastasis who accepted sequential therapy of chemotherapy, radiofrequency ablation (RFA), and radical resection of the primary tumor. Methods: A total of 87 pancreatic cancer patients with synchronous oligo-metastatic hepatic lesions who received treatments in the 2nd Affiliated Hospital of Zhejiang University between January 2017 and July 2020 were enrolled. The chemotherapy regimens included modified folfirinox (54/87) and gemcitabine plus nab-paclitaxel (33/87). Test of blood tumor markers and contrast-enhanced computed tomography (CT) or magnetic resonance (MR) scan was performed at diagnosis and after eight weeks of chemotherapy. Results: Thirty-five patients received just chemotherapy because of poor reaction to the first round of chemotherapy(Overall survival (OS), 6.47±1.80 months); 15 patients reassessed as stable disease (SD)/partial response (PR) continued chemotherapy (OS, 10.35±3.15); nine patients reassessed as progressive disease (PD) after RFA and continued chemotherapy (OS, 10.90±2.60). The primary tumors in 13 patients were unresectable after chemotherapy and RFA (OS, 12.92±2.47), while 15 patients completed the sequential therapy of chemotherapy, radio-frequency ablation, and radical resection (OS, 16.76±6.55). Conclusions: Sequential chemotherapy and RFA is a good treatment strategy to select the best candidates for surgical treatment among patients with pancreatic cancer with oligo-hepatic metastasis.
Validating PreCHAT: A Digital Preconception Health Risk Assessment Tool to Improve Reproductive, Maternal and Child Health
Authors: Montanaro Cynthia , Robson Liz , Binnington Leslie , Winters Nicole , Brown Hilary K. 
Published: July 2022

Study background Despite the growing understanding of preconception care, numerous barriers to its delivery still exist, including a lack of evidence-based, accessible screening tools. Purpose To validate a new digital Preconception Health Assessment Tool (PreCHAT) against the current best practice, physician-delivered tool in Ontario, Canada, and explore how PreCHAT’s design impacts its risk identification abilities relative to the comparison tool. Methods A criterion validation study was conducted with 53 female participants aged 18–44 years. Participants completed both tools in a controlled setting. PreCHAT was completed on a tablet individually by participants, while the comparison tool was administered by a physician. Three physicians administered the comparison tool. Measures of strength of agreement between PreCHAT and the comparison tool were calculated using percent agreement, Cohen's Kappa, and prevalence-adjusted and biased-adjusted kappa (PABAK). Results PreCHAT identified 135 individual risk factors, while the comparison tool identified 102. Both tools shared the same 14 domains of preconception care and 88 risk factors; of the 88 risk factors, PreCHAT identified an average of 3.42 (p < 0.0001) more risks per participant than the comparison tool. PABAK scores indicated almost perfect agreement between PreCHAT and the comparison tool. Conclusions This study suggests that PreCHAT is valid against the current best practice tool and is broader in its risk identification among individuals of reproductive age. PreCHAT's patient-facing, digital, EMR-integrated design may offer unique benefits to providers and patients. PreCHAT offers providers an innovative approach to deliver preconception care and may positively impact reproductive, maternal, and child health.
Experimental investigations of the effect of millisecond-delay time on the blast vibration reduction with electronic detonators
Authors: Zhang Xiangyu , Yan Peng , He Huaxiong , Lu Wenbo , Liu Bing , Zhu Jin , Wang Xiaosheng , Cheng Yifeng 
Published: July 2022

The error of precise initiation time controlled at the microsecond level in the electronic detonator blasting is accurate enough to realize blasting vibration reduction; however, the realization of precise control of blasting vibration using the electronic detonators remains rudimentary, researches on the precise zoning protection of buildings and field experiments are lacked. Therefore, multi-delay time of double-hole and multi-hole blasting experiments were carried out to explore the influence of different delay time on blast-induced PPV (Peak Particle Velocity). Based on the measured blasting vibration waveforms with blasting center distance of 16–200 m the reasonable delay time reducing PPV was investigated when the protective buildings at different blasting center distances and the reasonable delay time suitable for zoning protection was put forward to verify the applicability of the electronic detonators. The results show that as the initiation delay time increases, the PPV of blasting vibration first decreases then increases and finally attenuates to the single-hole PPV, with the increase of the blasting center distance, the reasonable delay time for reducing PPV gradually increases. However, a greater vibration enhancement effect will be produced when the delay time reaches at a certain value in the near area, the generated maximum PPV is about 1.8 times the single-hole PPV and there will be multiple short delay time producing enhancement effect in multi-hole blasting, the short delay time cannot be blindly adopted to reduce vibration. Therefore, the delay time of electronic detonators should be reasonably set to achieve the effect of blasting vibration reduction based on the distance between the protected buildings and the blasting zone.
Are universal measures sufficient in reducing child poverty in the Nordic countries? An analysis of policies and political commitments
Authors: Eklund Karlsson Leena , Balkfors Anna , Gunnarsdottir Hrafnhildur , Povlsen Lene , Regber Susann , Buch Mejsner Sofie , Leena Ikonen Anne , Fosse Elisabeth 
Published: July 2022

Background: The five Nordic countries (Denmark, Finland, Iceland, Norway and Sweden) have long traditions of social welfare policies that have eradicated poverty as part of their goals. The purpose of this study was to increase our understanding of why child poverty is still significant in the Nordic countries despite existing strategies. Methods: A qualitative analysis of Nordic government documents and reports between 2007 and 2019 was carried out to track changes in public health priorities and political measures and to determine the similarities and differences between the five countries. Results: In all countries, most of the measures were universal, such as benefits during pregnancy, paid parental leave before and after the child was born, paid parental leave related to children’s sickness, child allowances, day care, free health care for children and support for disabled children. National policies aimed to reduce social inequalities and child poverty exist in all five countries, but unaffordable housing, unequal disposable family income distribution and unequal income distribution at local municipality levels seem to be obstacles to reaching national policy goals. Conclusions: Despite comprehensive universal measures to eradicate child poverty, inequalities are significant and increasing in some of the Nordic countries. This might be due to a lack of proportional universalism, where universal measures are in place in all Nordic countries, but with a lack of scale and intensity proportional to the children and families at risk. The significance of eliminating social inequalities needs to be emphasised at the local level.
The Effect of Lesion Size on Pain and Function in Patients Scheduled for Cartilage Surgery of the Knee
Authors: Randsborg Per-Henrik , Årøen Asbjørn , Owesen Christian 
Published: July 2022

Objective Despite an increased interest in treatment options for cartilage lesions of the knee, the relationship between lesion characteristics and the symptoms they elicit is not well understood. We evaluated the relationship between lesion characteristics and the patient-reported outcome measures (PROMs) and compared this with symptoms reported by patients scheduled for knee ligament reconstruction and knee arthroplasty. Design Preoperative data, including Lysholm score and The Knee Injury and Osteoarthritis Outcome Score (KOOS), in 90 consecutive patients scheduled for surgery for symptomatic isolated cartilage lesions were prospectively collected. Result The patients had a mean age of 33.2 years. There were 62 (69%) males. There was no statistically significant difference in PROMs between patients with cartilage lesions smaller or larger than 2 cm2, except for the KOOS subscale symptoms, with patients with smaller lesions reporting higher scores, 62.8 (95% confidence interval [CI] 58.3-67.3) vs. 51.9 (95% CI 45.5-58.4), P = 0.005. There was a small correlation between lesion size and Lysholm score. However, when adjusted for age, sex, body mass index, and lesion localization, this effect was not statistically significant. The International Cartilage Regeneration & Joint Preservation Society grade did not affect preoperative PROMs. Cartilage patients reported worse preoperative symptoms than patients scheduled for knee ligament reconstruction, and approaching the symptoms reported by patients scheduled for knee arthroplasty. Conclusion The size, depth, and location of cartilage lesions have little impact on the symptoms experienced by the patients. Cartilage patients have comparable symptoms to patients scheduled for knee arthroplasty.
Cross-sectional analysis of whole-brain microstructural changes in adult patients with bipolar and unipolar depression by diffusion kurtosis imaging
Authors: Maralakunte Muniraju , Gupta Vivek , Grover Sandeep , Ahuja Chirag Kamal , Sahoo Swapnajeet , Kishore Kamal , Vyas Sameer , Garg Gaurav , Singh Paramjeet , Govind Varan 
Published: July 2022

Rationale and Objectives More than half of the bipolar depression (BD) subjects are misdiagnosed as unipolar depression (UD) due to lack of objective diagnostic criteria. We aimed to identify microstructural neuronal changes differentiating BD from UD groups using diffusion kurtosis imaging (DKI). The objective of the study is to identify an objective neuro-imaging marker to differentiate BD from UD. Materials and Methods A prospective, cross-sectional study included total of 62 subjects with diagnosis of bipolar depression ( n = 21), unipolar depression ( n = 21), and healthy controls ( n = 20). All subjects underwent diffusion-weighted imaging (b = 0,1000,2000) of the whole brain on 3-Tesla MR scanner. DKI data was analyzed using 189 region whole-brain atlas. Eight diffusion and kurtosis metrics including mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), fractional anisotropy (FA), mean kurtosis (MK), axial kurtosis (AK), radial kurtosis (RK), and kurtosis fractional anisotropy (FKA) were measured against these 189 regions. Principle component analysis (PCA) was utilized to identify the most significant regions of the brain. ANOVA with post hoc tests was used for analyzing these regions. Results BD group showed increased MD, RD, decreased AK at the left amygdala and decreased MK and RK at the right hemi-cerebellum. UD group showed increased MK and RK at the right external capsule; and increased AK, MK, and RK at the right amygdala. Conclusion The right and left amygdala, right external capsule, and right hemi-cerebellum showed microstructural abnormalities capable of differentiating BD and UD groups. Diffusion imaging especially DKI can aid in management of depression patients.
Knowledge, attitudes and practices of clinical pharmacists to medication error reporting in ministry of health and population hospitals in Egypt
Authors: Youssef Elshoura Shymaa Mahmoud , Mosallam Rasha Ali 
Published: July 2022

Objective This study aimed to assess the knowledge, attitudes and practices toward medication errors (MEs) reporting among pharmacists working in Ministry of Health and Population (MOHP) hospitals in Alexandria. Methods A cross-sectional study was conducted among all pharmacists who are responsible for reporting medication errors in the Egyptian online reporting system (NO HARMe). Results The majority of pharmacists received training on MEs reporting using the Egyptian online reporting system. Around half of the pharmacists knew the correct definition for medication errors. All respondents were aware of the presence of a MEs reporting system in Egypt. Clinical pharmacists’ attitudes towards MEs reporting was favorable with an overall mean score of 4.20 ± 0.73 in a score ranging from 1 (most unfavorable attitudes score) to 5 (most favorable score). Only 60.7% of the surveyed pharmacists used the system to report MEs. Antibiotics were the most frequent drug category reported and the prescribing stage was the stage in which pharmacists perceived the greatest volume of reports were made (89.3% and 71.4%, respectively). Lack of time was the most frequently identified barrier to reporting, followed by lack of feedback to the report submitted (73.2%, 54.5%, respectively). Inconsistent with the results of other studies, fear from legal consequences and being recognized as an incompetent provider was reported by only 12.5% and 11.6% of pharmacists, respectively. Conclusion The majority of pharmacists have good knowledge and favorable attitudes towards medication error reporting, however around two fifths do not report medication errors.
Comparative efficacy and tolerability of novel agents vs chemotherapy in relapsed and refractory T-cell lymphomas: a meta-analysis
Authors: Shafagati Nazila , Koh Min J. , Boussi Leora , Park Hyun J. , Stuver Robert , Bain Paul , Foss Francine M. , Shen Changyu , Jain Salvia 
Published: July 2022

Abstract
Optimal treatment strategies for (relapsed and refractory [R/R]) peripheral T-cell lymphoma (PTCL) have not been well defined, and with the approval of several novel single agents (SA), the comparative efficacy of combination chemotherapy (CC) to single-agent strategies remains unclear. We conducted a meta-analysis to evaluate overall response rates (ORR) and toxicities of SA to CC. MEDLINE, Embase, Web of Science Core Collection, and Cochrane were systematically searched for phase I, phase II, and phase III trials investigating a defined SA or an anthracycline-, ifosfamide-, gemcitabine-, and platinum-based regimens. One hundred and fifty-one articles were included, encompassing single and combinations of 60 phase I trials involving 1075 patients, 95 phase II trials involving 3246, and 23 phase III trials involving 1888 patients. There was a high degree of heterogeneity in the trials. Using a random-effects model, the estimated ORR for SA in phase I trials were 40% (95% confidence interval [CI], 34.7%, 46.9%) relative to 41% for CC (95% CI, 27.4%, 56.1%; P = .97) and in phase II trials 34.4% (95% CI, 30.4%, 38.7%) for SA vs 55.3% (95% CI, 31%, 77.2%; P = .1) for CC. There were significant subgroup differences in ORR between histological subtypes of PTCL and drug classes. Our results highlight SA as an attractive outpatient option for R/R PTCL, and their incorporation in the development of upfront treatment paradigms merits urgent consideration. Our results underscore enrollment in clinical trials of SA as a critical strategy for R/R PTCL.
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Authors: Devaux Anthony , Genuer Robin , Peres Karine , Proust-Lima Cécile 
Published: July 2022

Abstract
Background
The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic strategy. Joint models and landmark models have been proposed to compute individual dynamic predictions from repeated measures to one or two markers. However, they hardly extend to the case where the patient history includes much more repeated markers. Our objective was thus to propose a solution for the dynamic prediction of a health event that may exploit repeated measures of a possibly large number of markers.

Methods
We combined a landmark approach extended to endogenous markers history with machine learning methods adapted to survival data. Each marker trajectory is modeled using the information collected up to the landmark time, and summary variables that best capture the individual trajectories are derived. These summaries and additional covariates are then included in different prediction methods adapted to survival data, namely regularized regressions and random survival forests, to predict the event from the landmark time. We also show how predictive tools can be combined into a superlearner. The performances are evaluated by cross-validation using estimators of Brier Score and the area under the Receiver Operating Characteristic curve adapted to censored data.

Results
We demonstrate in a simulation study the benefits of machine learning survival methods over standard survival models, especially in the case of numerous and/or nonlinear relationships between the predictors and the event. We then applied the methodology in two prediction contexts: a clinical context with the prediction of death in primary biliary cholangitis, and a public health context with age-specific prediction of death in the general elderly population.

Conclusions
Our methodology, implemented in R, enables the prediction of an event using the entire longitudinal patient history, even when the number of repeated markers is large. Although introduced with mixed models for the repeated markers and methods for a single right censored time-to-event, the technique can be used with any other appropriate modeling technique for the markers and can be easily extended to competing risks setting.
Telemonitoring for COVID-19 positive pregnant women; feasibility and user experience of SAFE@home Corona: prospective pilot study
Authors: Moes Shinta L. , Depmann Martine , Lely Titia A. , Bekker Mireille N. 
Published: July 2022

Abstract
Background
COVID-19 has catalysed digital innovations enabling remote healthcare. Pregnant women are at increased risk for severe course of COVID-19 infection. Also, the pandemic has a negative emotional impact on pregnant women as they worry about their own health and the health of their unborn child. We developed a telemonitoring platform called SAFE@home-corona consisting of a pulse oximeter and an app with symptom checklist. The aim of this study was to examine the feasibility, defined by compliance to the platform and by monitoring the course of COVID-19, patient satisfaction and user experience of a telemonitoring platform in COVID-19 positive pregnant women in the Netherlands.

Methods
We conducted a prospective pilot study among Dutch-speaking COVID-19 symptomatic pregnant women. Women were asked to monitor their oxygen-saturation with a pulse oximeter and COVID-related complaints with an in-app questionnaire daily. Oxygen-saturation and complaints were monitored by the Medical Management Centre with triage protocol. COVID-19, pregnancy, and user experience data were collected. To assess feasibility, compliance of daily self-monitoring and compliance of all intended measurements were calculated. Severity of COVID-19 was assessed via the platform and medical record. Patient satisfaction and user experience were measured through a self-developed questionnaire.

Results
Twenty-eight women were eligible of which 27 (93.1%) completed the study. Compliance of daily measurement and all intended measurements was high with 98.9 and 93.9%, respectively. Six women were hospitalized, of whom one to the intensive care unit. Overall, women indicated high satisfaction scores, varying from 8 to 10/10. Women were more concerned for the health of their unborn child or family then for themselves (66.7%). They stated that the platform offered reassurance. Patients would highly recommend the platform to pregnant peers during COVID infection.

Conclusions
This pilot study demonstrated feasibility of the SAFE@home-corona platform for self-monitoring COVID-19 course in pregnant women. Patients were satisfied, it offered reassurance, women would recommend use to peers. Upscaling the platform is needed to draw conclusions from the early signalling abilities and to keep evaluating patient satisfaction. The platform has great potential for self-monitoring of COVID-19 and possibly other pulmonary infections in pregnant women.