cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17179/excli2022-5459/supplementary_data
title: Optimization of extracellular matrix for primary human hepatocyte cultures using mixed collagen-matrigel matrices

description: Loss of differentiation of primary human hepatocytes (PHHs) ex vivo is a known problem of in vitro liver models. Culture optimizations using collagen type I and Matrigel reduce the dedifferentiation process but are not able to prevent it. While neither of these extracellular matrices (ECMs) on their own correspond to the authentic hepatic ECM, a combination of them could more closely resemble the in vivo situation. Our study aimed to systematically analyze the influence of mixed matrices composed of collagen type I and Matrigel on the maintenance and reestablishment of hepatic functions. Therefore, PHHs were cultured on mixed collagen-Matrigel matrices in monolayer and sandwich cultures and viability, metabolic capacity, differentiation markers, cellular arrangement and the cells’ ability to repolarize and form functional bile canaliculi were assessed by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR), functional assays and immunofluorescence microscopy. Our results show that mixed matrices were superior to pure matrices in maintaining metabolic capacity and hepatic differentiation. In contrast, Matrigel supplementation can impair the development of a proper hepatocytic polarization. Our systematic study helps to compose an optimized ECM to maintain and reestablish hepatic differentiation on cellular and multicellular levels in human liver models.
description: EXCLI Journal; 22:Doc12; ISSN 1611-2156
DOI: 10.6084/m9.figshare.21810366.v2
title: 2018_sECS-upwelling_pCO2_data_20230104.xlsx

description: This data set is for the paper " Factors controlling the sea surface partial pressure of carbon dioxide in upwelling regions: A case study of the southern East China Sea before and after Typhoon Maria ."
DOI: 10.5281/zenodo.7502023
title: Sex Differences in Cutaneous Melanoma: Incidence, Clinicopathological Profile, Survival, and Costs

description: This study aims to provide a comprehensive overview of sex-related characteristics of cutaneous malignant melanoma (CMM), with special reference to its incidence, clinicopathological profile, overall survival, and treatment-related costs. This retrospective cohort study included all 1,279 CMM patients who were registered in 2015 in the Veneto Cancer Registry (a population-based registry including all 4,900,000 regional residents). The by-sex comparisons included tumor stage and site, histological subtype, and other clinical-pathological variables. A Cox regression analysis was used to test the association between sex and survival, adjusting for the main covariates. Treatment costs were calculated by linking patients with several administrative regional databases. Age-specific incidence rates were significantly higher for men among people &gt;50 years old. For men, the trunk was the most common primary site (59.3%), whereas for women the lower limbs (32.1%) were the most common primary site, followed by the trunk (31.8%), which was lower than for men (<em>p</em> &lt; 0.001). At presentation, the frequency of early stage CMM was higher among women, who also featured a significantly lower risk of death (<em>p</em> = 0.016), after adjusting for covariates. Men also incurred higher costs for melanoma treatment in the first year after their diagnosis. Among younger adults, CMM was more common in women, whereas among older adults, it was more common in men. Sex also influences patients' histopathological characteristics at diagnosis. Women had better overall survival after adjusting for demographic, pathological, and clinical profiles. The costs of treatment were also lower for women with CMM.
DOI: 10.5281/zenodo.7502024
title: Sex Differences in Cutaneous Melanoma: Incidence, Clinicopathological Profile, Survival, and Costs

description: This study aims to provide a comprehensive overview of sex-related characteristics of cutaneous malignant melanoma (CMM), with special reference to its incidence, clinicopathological profile, overall survival, and treatment-related costs. This retrospective cohort study included all 1,279 CMM patients who were registered in 2015 in the Veneto Cancer Registry (a population-based registry including all 4,900,000 regional residents). The by-sex comparisons included tumor stage and site, histological subtype, and other clinical-pathological variables. A Cox regression analysis was used to test the association between sex and survival, adjusting for the main covariates. Treatment costs were calculated by linking patients with several administrative regional databases. Age-specific incidence rates were significantly higher for men among people &gt;50 years old. For men, the trunk was the most common primary site (59.3%), whereas for women the lower limbs (32.1%) were the most common primary site, followed by the trunk (31.8%), which was lower than for men (<em>p</em> &lt; 0.001). At presentation, the frequency of early stage CMM was higher among women, who also featured a significantly lower risk of death (<em>p</em> = 0.016), after adjusting for covariates. Men also incurred higher costs for melanoma treatment in the first year after their diagnosis. Among younger adults, CMM was more common in women, whereas among older adults, it was more common in men. Sex also influences patients' histopathological characteristics at diagnosis. Women had better overall survival after adjusting for demographic, pathological, and clinical profiles. The costs of treatment were also lower for women with CMM.
DOI: 10.5281/zenodo.7502006
title: Malignant Melanoma: Direct Costs by Clinical and Pathological Profile

description: A number of studies have examined the impact of tumor stage on direct health care costs of patients with melanoma. This study aimed to investigate the association between the direct costs for melanoma and the patients’ clinical and histological characteristics. The present analysis included 1368 patients diagnosed with melanoma in 2017 in the Veneto Region (northeast Italy) and recorded in a regional population-based melanoma registry. The costs were assessed taking monthly and total direct costs into account. Log-linear multivariable analysis was used to identify the clinical and histological cost drivers, focusing on monthly and total direct costs per patient incurred during the first 2 years after a patient’s diagnosis. On multivariable analysis, besides the stage of melanoma, also the presence of mitoses (&gt; 2) was associated with higher monthly direct costs [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.15–2.08, <em>p</em> = 0.004] in respect to cases with 0–2 mitoses. Vertical growth was associated with higher costs compared with radial growth (OR 1.28, 95% CI 1.00–1.64, <em>p</em> = 0.055). Moreover, the association between the absence of tumor-infiltrating lymphocytes (TILs) and higher monthly direct costs reached statistical significance (OR 1.31, 95% CI 1.05–1.64, <em>p</em> = 0.017). There were no differences in monthly direct costs by patients’ sex or age, ulceration, or tumor site. This study showed that not only tumor stage but also other clinical and histopathologic characteristics have an impact on the direct monthly and total costs of treating melanoma. Further studies on the cost-effectiveness of the various options for managing this disease should take these variables into account, as well as tumor stage, as cost drivers.
DOI: 10.5281/zenodo.7502007
title: Malignant Melanoma: Direct Costs by Clinical and Pathological Profile

description: A number of studies have examined the impact of tumor stage on direct health care costs of patients with melanoma. This study aimed to investigate the association between the direct costs for melanoma and the patients’ clinical and histological characteristics. The present analysis included 1368 patients diagnosed with melanoma in 2017 in the Veneto Region (northeast Italy) and recorded in a regional population-based melanoma registry. The costs were assessed taking monthly and total direct costs into account. Log-linear multivariable analysis was used to identify the clinical and histological cost drivers, focusing on monthly and total direct costs per patient incurred during the first 2 years after a patient’s diagnosis. On multivariable analysis, besides the stage of melanoma, also the presence of mitoses (&gt; 2) was associated with higher monthly direct costs [odds ratio (OR) 1.55, 95% confidence interval (CI) 1.15–2.08, <em>p</em> = 0.004] in respect to cases with 0–2 mitoses. Vertical growth was associated with higher costs compared with radial growth (OR 1.28, 95% CI 1.00–1.64, <em>p</em> = 0.055). Moreover, the association between the absence of tumor-infiltrating lymphocytes (TILs) and higher monthly direct costs reached statistical significance (OR 1.31, 95% CI 1.05–1.64, <em>p</em> = 0.017). There were no differences in monthly direct costs by patients’ sex or age, ulceration, or tumor site. This study showed that not only tumor stage but also other clinical and histopathologic characteristics have an impact on the direct monthly and total costs of treating melanoma. Further studies on the cost-effectiveness of the various options for managing this disease should take these variables into account, as well as tumor stage, as cost drivers.
DOI: 10.5281/zenodo.7501999
title: Impact of Wide Local Excision on Melanoma Patient Survival: A Population-Based Study

description: Promoting standardization and quality assurance (QA) in oncology on the strength of real-world data is essential to ensure better patient outcomes. Wide excision after primary tumor biopsy is a fundamental step in the therapeutic pathway for cutaneous malignant melanoma (CMM). The aim of this population-based cohort study is to assess adherence to wide local excision in a cohort of patients diagnosed with CMM and the impact of this recommended procedure on overall and disease-specific survival.This retrospective cohort study concerns CMM patients diagnosed in the Veneto region (north-east Italy) in 2017, included in the high-resolution Veneto Cancer Registry, and followed up through linkage with the regional mortality registry up until February 29th, 2020. Using population-level real-world data, linking patient-level cancer registry data with administrative records of clinical procedures may shed light on the real-world treatment of CMM patients in accordance with current guidelines. After excluding TNM stage IV patients, a Cox regression analysis was performed to test whether the completion of a wide local excision was associated with a difference in melanoma-specific and overall survival, after adjusting for other covariates. No wide excision after the initial biopsy was performed in 9.7% of cases in our cohort of 1,305 patients. After adjusting for other clinical prognostic characteristics, Cox regression revealed that failure to perform a wide local excision raised the hazard ratio of death in terms of overall survival (HR = 4.80, 95% CI: 2.05-11.22, <em>p</em> &lt; 0.001) and melanoma-specific survival (HR = 2.84, 95% CI: 1.04-7.76, <em>p</em> = 0.042). By combining clinical and administrative data, this study on real-world clinical practice showed that almost one in ten CMM patients did not undergo wide local excision surgery. Monitoring how diagnostic-therapeutic protocols are actually implemented in the real world may contribute significantly to promoting quality improvements in the management of oncological patients.
DOI: 10.5281/zenodo.7501998
title: Impact of Wide Local Excision on Melanoma Patient Survival: A Population-Based Study

description: Promoting standardization and quality assurance (QA) in oncology on the strength of real-world data is essential to ensure better patient outcomes. Wide excision after primary tumor biopsy is a fundamental step in the therapeutic pathway for cutaneous malignant melanoma (CMM). The aim of this population-based cohort study is to assess adherence to wide local excision in a cohort of patients diagnosed with CMM and the impact of this recommended procedure on overall and disease-specific survival.This retrospective cohort study concerns CMM patients diagnosed in the Veneto region (north-east Italy) in 2017, included in the high-resolution Veneto Cancer Registry, and followed up through linkage with the regional mortality registry up until February 29th, 2020. Using population-level real-world data, linking patient-level cancer registry data with administrative records of clinical procedures may shed light on the real-world treatment of CMM patients in accordance with current guidelines. After excluding TNM stage IV patients, a Cox regression analysis was performed to test whether the completion of a wide local excision was associated with a difference in melanoma-specific and overall survival, after adjusting for other covariates. No wide excision after the initial biopsy was performed in 9.7% of cases in our cohort of 1,305 patients. After adjusting for other clinical prognostic characteristics, Cox regression revealed that failure to perform a wide local excision raised the hazard ratio of death in terms of overall survival (HR = 4.80, 95% CI: 2.05-11.22, <em>p</em> &lt; 0.001) and melanoma-specific survival (HR = 2.84, 95% CI: 1.04-7.76, <em>p</em> = 0.042). By combining clinical and administrative data, this study on real-world clinical practice showed that almost one in ten CMM patients did not undergo wide local excision surgery. Monitoring how diagnostic-therapeutic protocols are actually implemented in the real world may contribute significantly to promoting quality improvements in the management of oncological patients.
DOI: 10.5281/zenodo.7501984
title: Direct Costs of Care for Adults with Soft Tissue Sarcomas: A Population-Based Study

description: The clinical treatment of soft tissue sarcoma (STS) has evolved substantially over the last decade. This population-based cohort study based on real-world data included all incidental STS recorded by the Veneto Cancer Registry in 2017. Data on hospital admissions, emergency department and outpatient visits, drug prescriptions, and use of medical devices within two years from STS diagnosis were obtained from administrative databases. The average per-patient real-world costs over this two-year period, in total and by single expenditure item, were calculated and stratified by stage of disease at diagnosis, tumor histology and tumor site. The mean total cost per patient amounted to EUR 16,793. A higher TNM stage at diagnosis was associated with higher healthcare costs, as follows: compared with stage I, the average total cost per patient was 1.32, 2.18 and 3.36 times greater for stages II, III and IV, respectively. Hospital stays generated the greatest costs (averaging EUR 7950 per patient), followed by outpatient visits (mean EUR 3947 per patient) and drug prescriptions (mean EUR 3664 per patient). Given the paucity of population-based studies, the present results can serve as a reference for further cost-effectiveness analyses on care strategies for patients with STS.
DOI: 10.5281/zenodo.7501983
title: Direct Costs of Care for Adults with Soft Tissue Sarcomas: A Population-Based Study

description: The clinical treatment of soft tissue sarcoma (STS) has evolved substantially over the last decade. This population-based cohort study based on real-world data included all incidental STS recorded by the Veneto Cancer Registry in 2017. Data on hospital admissions, emergency department and outpatient visits, drug prescriptions, and use of medical devices within two years from STS diagnosis were obtained from administrative databases. The average per-patient real-world costs over this two-year period, in total and by single expenditure item, were calculated and stratified by stage of disease at diagnosis, tumor histology and tumor site. The mean total cost per patient amounted to EUR 16,793. A higher TNM stage at diagnosis was associated with higher healthcare costs, as follows: compared with stage I, the average total cost per patient was 1.32, 2.18 and 3.36 times greater for stages II, III and IV, respectively. Hospital stays generated the greatest costs (averaging EUR 7950 per patient), followed by outpatient visits (mean EUR 3947 per patient) and drug prescriptions (mean EUR 3664 per patient). Given the paucity of population-based studies, the present results can serve as a reference for further cost-effectiveness analyses on care strategies for patients with STS.
DOI: 10.5281/zenodo.7501462
title: Cutaneous Melanoma in Alpine Population: Incidence Trends and Clinicopathological Profile

description: Previous studies associated high-level exposure to ultraviolet radiation with a greater risk of cutaneous malignant melanoma (CMM). This study focuses on the changing incidence of CMM over time (from 1990 to 2017) in the Veneto region of Northeast Italy, and its Alpine area (the province of Belluno). The clinicopathological profile of CMM by residence is also considered. A joinpoint regression analysis was performed to identify significant changes in the yearly incidence of CMM by sex and age. For each trend, the average annual percent change (AAPC) was also calculated. In the 2017 CMM cohort, the study includes a descriptive analysis of the disease's categorical clinicopathological variables. In the population investigated, the incidence of CMM has increased significantly over the last 30 years. The AAPC in the incidence of CMM was significantly higher among Alpine residents aged 0-49 than for the rest of the region's population (males: 6.9 versus 2.4; females 7.7 versus 2.7, respectively). Among the Alpine residents, the AAPC was 3.35 times greater for females aged 0-49 than for people aged 50+. The clinicopathological profile of CMM was significantly associated with the place of residence. Over three decades, the Veneto population has observed a significant increase in the incidence of CMM, and its AAPC. Both trends have been markedly more pronounced among Alpine residents, particularly younger females. While epidemiology and clinicopathological profiles support the role of UV radiation in CMM, the young age of this CMM-affected female population points to other possible host-related etiological factors. These findings also confirm the importance of primary and secondary prevention strategies.
DOI: 10.5281/zenodo.7501463
title: Cutaneous Melanoma in Alpine Population: Incidence Trends and Clinicopathological Profile

description: Previous studies associated high-level exposure to ultraviolet radiation with a greater risk of cutaneous malignant melanoma (CMM). This study focuses on the changing incidence of CMM over time (from 1990 to 2017) in the Veneto region of Northeast Italy, and its Alpine area (the province of Belluno). The clinicopathological profile of CMM by residence is also considered. A joinpoint regression analysis was performed to identify significant changes in the yearly incidence of CMM by sex and age. For each trend, the average annual percent change (AAPC) was also calculated. In the 2017 CMM cohort, the study includes a descriptive analysis of the disease's categorical clinicopathological variables. In the population investigated, the incidence of CMM has increased significantly over the last 30 years. The AAPC in the incidence of CMM was significantly higher among Alpine residents aged 0-49 than for the rest of the region's population (males: 6.9 versus 2.4; females 7.7 versus 2.7, respectively). Among the Alpine residents, the AAPC was 3.35 times greater for females aged 0-49 than for people aged 50+. The clinicopathological profile of CMM was significantly associated with the place of residence. Over three decades, the Veneto population has observed a significant increase in the incidence of CMM, and its AAPC. Both trends have been markedly more pronounced among Alpine residents, particularly younger females. While epidemiology and clinicopathological profiles support the role of UV radiation in CMM, the young age of this CMM-affected female population points to other possible host-related etiological factors. These findings also confirm the importance of primary and secondary prevention strategies.
DOI: 10.6084/m9.figshare.20501538.v1
title: Supplementary Material for: Inpatient Fall Prediction Models: A Scoping Review

description: <b><i>Introduction:</i></b> The digitization of hospital systems, including integrated electronic medical records, has provided opportunities to improve the prediction performance of inpatient fall risk models and their application to computerized clinical decision support systems. This review describes the data sources and scope of methods reported in studies that developed inpatient fall prediction models, including machine learning and more traditional approaches to inpatient fall risk prediction. <b><i>Methods:</i></b> This scoping review used methods recommended by the Arksey and O’Malley framework and its recent advances. PubMed, CINAHL, IEEE Xplore, and EMBASE databases were systematically searched. Studies reporting the development of inpatient fall risk prediction approaches were included. There was no restriction on language or recency. Reference lists and manual searches were also completed. Reporting quality was assessed using adherence to Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis statement (TRIPOD), where appropriate. <b><i>Results:</i></b> Database searches identified 1,396 studies, 63 were included for scoping assessment and 45 for reporting quality assessment. There was considerable overlap in data sources and methods used for model development. Fall prediction models typically relied on features from patient assessments, including indicators of physical function or impairment, or cognitive function or impairment. All but two studies used patient information at or soon after admission and predicted fall risk over the entire admission, without consideration of post-admission interventions, acuity changes or length of stay. Overall, reporting quality was poor, but improved in the past decade. <b><i>Conclusion:</i></b> There was substantial homogeneity in data sources and prediction model development methods. Use of artificial intelligence, including machine learning with high-dimensional data, remains underexplored in the context of hospital falls. Future research should consider approaches with the potential to utilize high-dimensional data from digital hospital systems, which may contribute to greater performance and clinical usefulness.