33 datasets found
  1. f

    Table_1_From psoriasis to psoriatic arthritis: epidemiological insights from...

    • frontiersin.figshare.com
    docx
    Updated Jun 27, 2024
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    An-Ping Huo; Pei-Lun Liao; Pui-Ying Leong; James Cheng-Chung Wei (2024). Table_1_From psoriasis to psoriatic arthritis: epidemiological insights from a retrospective cohort study of 74,046 patients.DOCX [Dataset]. http://doi.org/10.3389/fmed.2024.1419722.s001
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    docxAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Frontiers
    Authors
    An-Ping Huo; Pei-Lun Liao; Pui-Ying Leong; James Cheng-Chung Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionTo verify our hypothesis that psoriatic arthritis (PsA) is mainly genetically predetermined and distinct from psoriasis (PsO), we use the TriNetX database to investigate whether intrinsic factors outweigh externals in PsA emergence in PsO patients.MethodsWe conducted three retrospective cohort studies utilizing information from the TriNetX network, whether (a) PsO patients with type 2 diabetes mellitus (DM) face an elevated risk of developing PsA compared to those without type 2 DM; (b) PsO patients who smoke face a higher risk of PsA; and (c) PsO patients with type 2 DM who smoke are more likely to develop PsA than those who do not smoke.ResultsPsO patients with type 2 DM exhibited an elevated risk of developing PsA [hazard ratio (HR), 1.11; 95% CI 1.03–1.20], with the combined outcome demonstrating a heightened HR of 1.31 (95% CI 1.25–1.37). PsO patients with a smoking history exhibited an elevated risk of developing PsA (HR, 1.11; 95% CI 1.06–1.17), with the combined outcome demonstrating a heightened HR of 1.28 (95% CI 1.24–1.33). PsO patients with type 2 DM and a history of smoking were not found to be associated with an increased risk of developing PsA (HR, 1.05; 95% CI 0.92–1.20). However, the combined result revealed a higher risk of 1.15 (95% CI 1.06).DiscussionThese findings suggested that intrinsic factors outweigh external factors in PsA emergence in PsO patients. Further studies may focus on genetic disparities between PsO and PsA as potential risk indicators rather than solely on phenotypic distinctions.

  2. r

    trinetx

    • rrid.site
    • scicrunch.org
    Updated Jun 17, 2025
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    (2025). trinetx [Dataset]. http://identifiers.org/RRID:SCR_022760
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    Dataset updated
    Jun 17, 2025
    Description

    Network of healthcare organizations, together with data partners in Brazil, South Korea, and Japan, to bring clinical facts on more than 250 million patients around the world. Federated model so users of this data are ensured new patients, observations, and results every day, all harmonized to standard terminology like ICD-10 and LOINC without any data wrangling required at the point of care. The raw data is not available to authors of papers and papers in medicine are being retracted.

  3. f

    Values for Kaplan-Meier survival analysis in patients with IO treatment.

    • plos.figshare.com
    xlsx
    Updated Mar 28, 2024
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    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang (2024). Values for Kaplan-Meier survival analysis in patients with IO treatment. [Dataset]. http://doi.org/10.1371/journal.pone.0299102.s002
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    xlsxAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Values for Kaplan-Meier survival analysis in patients with IO treatment.

  4. f

    Data_Sheet_1_Effects of sex, age, and body mass index on serum...

    • figshare.com
    pdf
    Updated Jul 20, 2023
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    Daisy Duan; Jamie Perin; Adam Osman; Francis Sgambati; Lenise J. Kim; Luu V. Pham; Vsevolod Y. Polotsky; Jonathan C. Jun (2023). Data_Sheet_1_Effects of sex, age, and body mass index on serum bicarbonate.PDF [Dataset]. http://doi.org/10.3389/frsle.2023.1195823.s001
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    pdfAvailable download formats
    Dataset updated
    Jul 20, 2023
    Dataset provided by
    Frontiers
    Authors
    Daisy Duan; Jamie Perin; Adam Osman; Francis Sgambati; Lenise J. Kim; Luu V. Pham; Vsevolod Y. Polotsky; Jonathan C. Jun
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    RationaleObesity hypoventilation syndrome (OHS) is often underdiagnosed, with significant morbidity and mortality. Bicarbonate, as a surrogate of arterial carbon dioxide, has been proposed as a screening tool for OHS. Understanding the predictors of serum bicarbonate could provide insights into risk factors for OHS. We hypothesized that the bicarbonate levels would increase with an increase in body mass index (BMI), since the prevalence of OHS increases with obesity.MethodsWe used the TriNetX Research Network, an electronic health record database with de-identified clinical data from participating healthcare organizations across the United States, to identify 93,320 adults without pulmonary or advanced renal diseases who had serum bicarbonate and BMI measurements within 6 months of each other between 2017 and 2022. We used linear regression analysis to examine the associations between bicarbonate and BMI, age, and their interactions for the entire cohort and stratified by sex. We also applied a non-linear machine learning algorithm (XGBoost) to examine the relative importance of age, BMI, sex, race/ethnicity, and obstructive sleep apnea (OSA) status on bicarbonate.ResultsThis cohort population was 56% women and 72% white and 80% non-Hispanic individuals, with an average (SD) age of 49.4 (17.9) years and a BMI of 29.1 (6.1) kg/m2. The mean bicarbonate was 24.8 (2.8) mmol/L, with higher levels in men (mean 25.2 mmol/L) than in women (mean 24.4 mmol/L). We found a small negative association between bicarbonate and BMI, with an expected change of −0.03 mmol/L in bicarbonate for each 1 kg/m2 increase in BMI (p < 0.001), in the entire cohort and both sexes. We found sex differences in the bicarbonate trajectory with age, with women exhibiting lower bicarbonate values than men until age 50, after which the bicarbonate levels were modestly higher. The non-linear machine learning algorithm similarly revealed that age and sex played larger roles in determining bicarbonate levels than the BMI or OSA status.ConclusionContrary to our hypothesis, BMI is not associated with elevated bicarbonate levels, and age modifies the impact of sex on bicarbonate.

  5. f

    Multivariable analysis for overall survival in patients with metastatic...

    • figshare.com
    xls
    Updated Mar 28, 2024
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    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang (2024). Multivariable analysis for overall survival in patients with metastatic renal cell carcinoma receiving first-line tyrosine kinase inhibitors or immune checkpoint inhibitors. [Dataset]. http://doi.org/10.1371/journal.pone.0299102.t002
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    xlsAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multivariable analysis for overall survival in patients with metastatic renal cell carcinoma receiving first-line tyrosine kinase inhibitors or immune checkpoint inhibitors.

  6. f

    Values for Kaplan-Meier survival analysis in patients with TKI treatment.

    • figshare.com
    xlsx
    Updated Mar 28, 2024
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    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang (2024). Values for Kaplan-Meier survival analysis in patients with TKI treatment. [Dataset]. http://doi.org/10.1371/journal.pone.0299102.s001
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    xlsxAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gu-Shun Lai; Jian-Ri Li; Shian-Shiang Wang; Chuan-Shu Chen; Chun-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shun-Fa Yang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Values for Kaplan-Meier survival analysis in patients with TKI treatment.

  7. f

    DataSheet_1_Association between immune checkpoint inhibitor medication and...

    • frontiersin.figshare.com
    pdf
    Updated Jan 9, 2024
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    Hou-Ting Kuo; Chia-Yun Chen; Alan Y. Hsu; Yu-Hsun Wang; Chun-Ju Lin; Ning-Yi Hsia; Yi-Yu Tsai; James Cheng-Chung Wei (2024). DataSheet_1_Association between immune checkpoint inhibitor medication and uveitis: a population-based cohort study utilizing TriNetX database.pdf [Dataset]. http://doi.org/10.3389/fimmu.2023.1302293.s001
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    pdfAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Frontiers
    Authors
    Hou-Ting Kuo; Chia-Yun Chen; Alan Y. Hsu; Yu-Hsun Wang; Chun-Ju Lin; Ning-Yi Hsia; Yi-Yu Tsai; James Cheng-Chung Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveTo explore the associations between the use of immune checkpoint inhibitors (ICIs) and the risk of developing uveitis among cancer patients.MethodsCancer patients who received ICI therapy and a comparison group of cancer patients who did not receive ICI therapy were retrospectively recruited from the TriNetX electronic heath-record registry. The outcome of interest was the development of new-onset uveitis. Propensity score matching based on a 1:1 ratio was conducted in order to reduce bias. Multi-variate cox proportional hazard models and Kaplan Meier method were also utilized to assess for the risk of uveitis among cancer patients who received ICI therapy.Results71931 cancer patients (54.7% male; 76.5% white; mean age at index 63.6 ± 12.2 years) who received ICI treatment (ICI group) and 71931 cancer patients (54.7% male; 77% white; mean age at index 63.5 ± 12.4 years) who never received ICI (comparison group) were recruited. Associated Kaplan-Meier curves showed significantly increased uveitis risk among the ICI group for all follow-up years (p

  8. m

    Supplementary files for "Human Papillomavirus Infection Increases Risk of...

    • data.mendeley.com
    Updated May 13, 2025
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    Shuo-Yan Gau (2025). Supplementary files for "Human Papillomavirus Infection Increases Risk of New-Onset Prurigo Nodularis: A Multi-Center Retrospective Cohort Study Using Global and US Electronic Medical Records of TriNetX network" [Dataset]. http://doi.org/10.17632/7p6v4d2z8v.1
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    Dataset updated
    May 13, 2025
    Authors
    Shuo-Yan Gau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the Mendeley Supplementary File (including eMethods, Supplementary Tables and Supplementary Figures) of the study entitled "Human Papillomavirus Infection Increases Risk of New-Onset Prurigo Nodularis: A Multi-Center Retrospective Cohort Study Using Global and US Electronic Medical Records of TriNetX network" by Shuo-Yan Gau, Shao-Wei Lo, Yung-Fang Tu, Wen-Chieh Liao, Yu-Jung Su, Hui-Chin Chang, Torsten Zuberbier, Martin Metz and Shiu-Jau Chen for publication in the Journal of the American Academy of Dermatology.

  9. m

    Supplemental Methods Final PPI Fungal

    • data.mendeley.com
    Updated Mar 25, 2025
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    Rahib Islam (2025). Supplemental Methods Final PPI Fungal [Dataset]. http://doi.org/10.17632/h5y9wktcrz.1
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    Dataset updated
    Mar 25, 2025
    Authors
    Rahib Islam
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A retrospective cohort study was conducted using the TriNetX Global Collaborative Network, a federated database comprising de-identified electronic health records from 142 healthcare organizations (HCOs). The database was queried on March 13, 2025, to identify patients diagnosed with gastroesophageal reflux disease (GERD). Patients were stratified into two cohorts based on proton pump inhibitor (PPI) exposure. The GERD+PPI cohort included patients with a diagnosis of GERD (ICD-10: K21) who had ≥2 prescriptions for a PPI (omeprazole, esomeprazole, pantoprazole, lansoprazole, dexlansoprazole, or rabeprazole) within 5 years prior to the index date. The GERD control cohort included GERD patients with no history of PPI use, defined as no recorded prescriptions for any listed PPIs at any time. Patients were excluded in the risk analysis if they had a history of cutaneous fungal infections, including onychomycosis, tinea corporis, tinea pedis, tinea cruris, or cutaneous candidiasis. Additional exclusions included a history of systemic antifungal use (fluconazole, terbinafine, itraconazole) within 1 day prior to the index date or a history of immunodeficiency conditions, including HIV (ICD-10: B20), solid organ transplantation, or primary immunodeficiency disorders (ICD-10: D80-D84). Cohorts were propensity score-matched (1:1) to minimize confounding, using variables including age, sex, race/ethnicity, diabetes, obesity, immunosuppression, and concurrent medication use. Standardized mean differences (SMDs) were used to assess balance between matched cohorts. The primary outcome was the incidence of cutaneous fungal infections following PPI use. Risk ratios (RR) with 95% confidence intervals (CIs) were calculated using logistic regression. A p-value <0.05 was considered statistically significant. All statistical analyses were conducted within the TriNetX platform.

  10. m

    Supplementary Table 1. Matched characteristics and diagnoses

    • data.mendeley.com
    Updated Aug 13, 2024
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    Wade Powers (2024). Supplementary Table 1. Matched characteristics and diagnoses [Dataset]. http://doi.org/10.17632/9cdkzzyxvs.2
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    Dataset updated
    Aug 13, 2024
    Authors
    Wade Powers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains data gathered from TriNetX and compares patients with a diagnosis of xanthelasma to patients with a diagnosis of a benign facial lesion after propensity matching to compensate for differences in age at index event, sex, race, and ethnicity.

  11. m

    cardio mohs supplemental methods

    • data.mendeley.com
    Updated Apr 22, 2025
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    Rahib Islam (2025). cardio mohs supplemental methods [Dataset]. http://doi.org/10.17632/d2y37g5667.1
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    Dataset updated
    Apr 22, 2025
    Authors
    Rahib Islam
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplemental Methods This study utilized a retrospective cohort design leveraging data from the TriNetX research network, which aggregates electronic health records (EHRs) from 97 healthcare organizations (HCOs). The analysis compared two patient cohorts based on cardiovascular disease (CVD) status, both of whom had been diagnosed with skin cancers, including malignant melanoma (ICD-10: C43), squamous cell carcinoma (C44.92), or basal cell carcinoma (C44.91), and underwent Mohs micrographic surgery (CPT: 17311). The CVD cohort included patients with a concurrent diagnosis of cardiovascular disease, including hypertension (ICD-10: I10-I15), hypertensive crisis (I16), or ischemic heart disease (I20-I25), whereas the non-CVD cohort consisted of patients with similar skin cancer diagnoses and Mohs procedures but without any history of these cardiovascular conditions. The study population was limited to patients whose diagnoses and procedures occurred between January 1, 2015, and December 31, 2023. Patients with an index event occurring more than 20 years prior to the study period were excluded. The index event was defined as the date of the first recorded visit (TNX:Visit) associated with both the skin cancer diagnosis and the Mohs micrographic surgery procedure. A follow-up visit (CVD f/u) was required within six months after the initial visit to ensure patients remained engaged with healthcare services and to capture subsequent cardiovascular events. The time window for outcomes assessment began one day after the index event and extended 30 days and 3-months postoperatively. The primary outcomes included acute myocardial infarction (AMI; ICD-10: I21) and stroke (ICD-10: I63.9). Patients who had a documented history of these outcomes before the study time window were excluded from the risk analysis and survival analysis. To minimize confounding, propensity score matching (PSM) was performed at a 1:1 ratio between the CVD and non-CVD cohorts. Matching variables included age, sex, race, ethnicity, comorbid conditions (hypertension, diabetes, chronic kidney disease, hyperlipidemia, obesity), medication use (anticoagulants, beta-blockers, lipid-lowering agents), and laboratory values (e.g., tobacco smoking status). After matching, each cohort consisted of 27,758 patients. The study employed multiple statistical approaches to compare outcomes between the cohorts. Risk analysis was performed to calculate risk differences, risk ratios, and odds ratios for AMI and stroke. Kaplan-Meier survival analysis was conducted to assess differences in survival probability, applying censoring to account for patients lost to follow-up. Number of instances analysis was used to quantify the frequency of AMI and stroke occurrences within the 30-day and 3-month time window.

  12. Comparative outcome analysis utilizing the TriNetX real-world data...

    • plos.figshare.com
    xls
    Updated Oct 15, 2024
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    Daniel Steiert; Corey Wittig; Priyanka Banerjee; Robert Preissner; Robert Szulcek (2024). Comparative outcome analysis utilizing the TriNetX real-world data analytical network for the primary endpoint death. [Dataset]. http://doi.org/10.1371/journal.pcbi.1012417.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Daniel Steiert; Corey Wittig; Priyanka Banerjee; Robert Preissner; Robert Szulcek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis was performed after propensity score matching for age and gender at the index event.

  13. p

    Exploring pharmacological treatment for trichotillomania: do we need better...

    • dona.pwr.edu.pl
    Updated 2025
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    Piotr K Krajewski; Jacek C Szepietowski (2025). Exploring pharmacological treatment for trichotillomania: do we need better education? [Dataset]. http://doi.org/10.1111/ijd.17269
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    Dataset updated
    2025
    Authors
    Piotr K Krajewski; Jacek C Szepietowski
    Description

    Library of Wroclaw University of Science and Technology scientific output (DONA database)

  14. Cox regression analysis of overall survival for patients with visceral...

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang (2024). Cox regression analysis of overall survival for patients with visceral metastases. [Dataset]. http://doi.org/10.1371/journal.pone.0309941.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cox regression analysis of overall survival for patients with visceral metastases.

  15. m

    supplemental flow chart

    • data.mendeley.com
    Updated Mar 25, 2025
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    Rahib Islam (2025). supplemental flow chart [Dataset]. http://doi.org/10.17632/kc2vcvxbcc.1
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    Dataset updated
    Mar 25, 2025
    Authors
    Rahib Islam
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Flow chart for Fungal PPI TriNetX Study

  16. w

    Global Real World Evidence In Healthcare Market Research Report: By Data...

    • wiseguyreports.com
    Updated Aug 10, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Real World Evidence In Healthcare Market Research Report: By Data Source (Electronic Health Records, Claims Data, Patient Reported Outcomes, Wearable Devices, Social Media Data), By Technology (Artificial Intelligence, Machine Learning, Natural Language Processing, Big Data Analytics), By Application (Drug Safety Monitoring, Treatment Effectiveness Evaluation, Disease Progression Tracking, Patient Outcomes Research), By End User (Pharmaceutical Companies, Healthcare Providers, Regulatory Agencies, Patient Advocacy Groups) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/cn/reports/real-world-evidence-in-healthcare-market
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    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202317.78(USD Billion)
    MARKET SIZE 202419.66(USD Billion)
    MARKET SIZE 203243.9(USD Billion)
    SEGMENTS COVEREDData Source ,Technology ,Application ,End User ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing adoption of precision medicine Growing patient empowerment Rapid advancements in technology Government support for RWE initiatives Expanding global regulatory landscape
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDAetion ,Flatiron Health ,Evidation Health ,Syneos Health ,Medidata Solutions ,Health Catalyst ,Accenture ,RealWorld Evidence ,Parexel ,ICON ,IQVIA ,Oracle ,TriNetX ,Datavant
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIncreased Demand for Personalized Medicine Technological Advancements and Data Generation Growing Prevalence of Chronic Diseases Expansion into Developing Markets Collaboration between Healthcare and Technology Companies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 10.56% (2025 - 2032)
  17. f

    Values for Kaplan-Meier survival analysis in prostate cancer patients with...

    • figshare.com
    xlsx
    Updated Sep 6, 2024
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    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang (2024). Values for Kaplan-Meier survival analysis in prostate cancer patients with lymph node and visceral metastases. [Dataset]. http://doi.org/10.1371/journal.pone.0309941.s004
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    xlsxAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Values for Kaplan-Meier survival analysis in prostate cancer patients with lymph node and visceral metastases.

  18. f

    Combined CAR-T Therapy and Radiotherapy in Non-Hodgkin Lymphoma: Real-World...

    • figshare.com
    zip
    Updated May 30, 2024
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    Gabriel Monteiro; Wen-Jan Tuan (2024). Combined CAR-T Therapy and Radiotherapy in Non-Hodgkin Lymphoma: Real-World Data Files [Dataset]. http://doi.org/10.6084/m9.figshare.25933132.v1
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    zipAvailable download formats
    Dataset updated
    May 30, 2024
    Dataset provided by
    figshare
    Authors
    Gabriel Monteiro; Wen-Jan Tuan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This retrospective cohort study utilized electronic health records from the TriNetX database. A total of 502 NHL patients were included, categorized into CAR-T R+ (receiving CAR-T and radiotherapy) and CAR-T R- (receiving CAR-T and chemotherapy only) groups, balanced through propensity score matching. The primary outcome was four-year mortality risk. Secondary outcomes included emergency visits, organ failure, sepsis, cardiovascular events, inflammation over four years, and acute reactions (Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS)) measured over one month.

  19. f

    Percent of BIC patients by TBSA.

    • plos.figshare.com
    xls
    Updated Feb 23, 2024
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    Kendall Wermine; Juquan Song; Sunny Gotewal; Lyndon Huang; Kassandra Corona; Shelby Bagby; Elvia Villarreal; Shivan Chokshi; Tsola Efejuku; Jasmine Chaij; Alejandro Joglar; Nicholas J. Iglesias; Phillip Keys; Giovanna De La Tejera; Georgiy Golovko; Amina El Ayadi; Steven E. Wolf (2024). Percent of BIC patients by TBSA. [Dataset]. http://doi.org/10.1371/journal.pone.0278658.t001
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    Dataset updated
    Feb 23, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Kendall Wermine; Juquan Song; Sunny Gotewal; Lyndon Huang; Kassandra Corona; Shelby Bagby; Elvia Villarreal; Shivan Chokshi; Tsola Efejuku; Jasmine Chaij; Alejandro Joglar; Nicholas J. Iglesias; Phillip Keys; Giovanna De La Tejera; Georgiy Golovko; Amina El Ayadi; Steven E. Wolf
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Studies conflict on the significance of burn-induced coagulopathy. We posit that burn-induced coagulopathy is associated with injury severity in burns. Our purpose was to characterize coagulopathy profiles in burns and determine relationships between % total burn surface area (TBSA) burned and coagulopathy using the International Normalized Ratio (INR). Burned patients with INR values were identified in the TriNetX database and analyzed by %TBSA burned. Patients with history of transfusions, chronic hepatic failure, and those on anticoagulant medications were excluded. Interquartile ranges for INR in the burned study population were 1.2 (1.0–1.4). An INR of ≥ 1.5 was used to represent those with burn-induced coagulopathy as it fell outside the 3rd quartile. The population was stratified into subgroups using INR levels

  20. f

    Baseline characteristics for patients with visceral and bone metastatic...

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang (2024). Baseline characteristics for patients with visceral and bone metastatic prostate cancer. [Dataset]. http://doi.org/10.1371/journal.pone.0309941.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Gu-Shun Lai; Chuan-Shu Chen; Jason Chia-Hsien Cheng; Jian-Ri Li; Cheng-Kuang Yang; Chia-Yen Lin; Sheng-Chun Hung; Kun-Yuan Chiu; Shian-Shiang Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Baseline characteristics for patients with visceral and bone metastatic prostate cancer.

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An-Ping Huo; Pei-Lun Liao; Pui-Ying Leong; James Cheng-Chung Wei (2024). Table_1_From psoriasis to psoriatic arthritis: epidemiological insights from a retrospective cohort study of 74,046 patients.DOCX [Dataset]. http://doi.org/10.3389/fmed.2024.1419722.s001

Table_1_From psoriasis to psoriatic arthritis: epidemiological insights from a retrospective cohort study of 74,046 patients.DOCX

Related Article
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docxAvailable download formats
Dataset updated
Jun 27, 2024
Dataset provided by
Frontiers
Authors
An-Ping Huo; Pei-Lun Liao; Pui-Ying Leong; James Cheng-Chung Wei
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

IntroductionTo verify our hypothesis that psoriatic arthritis (PsA) is mainly genetically predetermined and distinct from psoriasis (PsO), we use the TriNetX database to investigate whether intrinsic factors outweigh externals in PsA emergence in PsO patients.MethodsWe conducted three retrospective cohort studies utilizing information from the TriNetX network, whether (a) PsO patients with type 2 diabetes mellitus (DM) face an elevated risk of developing PsA compared to those without type 2 DM; (b) PsO patients who smoke face a higher risk of PsA; and (c) PsO patients with type 2 DM who smoke are more likely to develop PsA than those who do not smoke.ResultsPsO patients with type 2 DM exhibited an elevated risk of developing PsA [hazard ratio (HR), 1.11; 95% CI 1.03–1.20], with the combined outcome demonstrating a heightened HR of 1.31 (95% CI 1.25–1.37). PsO patients with a smoking history exhibited an elevated risk of developing PsA (HR, 1.11; 95% CI 1.06–1.17), with the combined outcome demonstrating a heightened HR of 1.28 (95% CI 1.24–1.33). PsO patients with type 2 DM and a history of smoking were not found to be associated with an increased risk of developing PsA (HR, 1.05; 95% CI 0.92–1.20). However, the combined result revealed a higher risk of 1.15 (95% CI 1.06).DiscussionThese findings suggested that intrinsic factors outweigh external factors in PsA emergence in PsO patients. Further studies may focus on genetic disparities between PsO and PsA as potential risk indicators rather than solely on phenotypic distinctions.

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