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About 10,000 papers for “Data extraction”

Data extraction data.

Thea Lynne Hedemann (16015229), North de Pencier (17334087), Terri Rodak (4901275) et al. · Figshare · 2023

<div><p>Personality disorders (PDs) have a global prevalence of 7.8% and are associated with increased rates of morbidity and mortality. Most research on PDs has been conducted in High Income Countries (HICs). We conducted a systematic review to investigate the effectiveness of psychosocial and pharmacological interventions for personality disorders (PDs) in individuals from Low- and Middle-Income Countries (LMICs.) We systematically searched MEDLINE, Embase, APA PsycInfo, Web of Science, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and The Cochrane Library from inception to January 5, 2023. Inclusion criteria were quantitative studies and grey literature where participants received a psychosocial or pharmacological intervention for PD. Exclusion criteria were qualitative studies, review articles, studies in which PD was not the primary condition, and articles not available in English. The Cochrane Risk of Bias tool version 2.0 and Joanna Briggs Institute instruments were used to measure risk of bias. Studies were pooled by type of study, PD investigated, type of intervention, assessment methods, and outcomes. Sixteen studies met inclusion criteria and were included. Fifteen were intervention studies related to borderline PD. Only one studied mixed PDs. Twelve studies were of psychotherapy, one pharmacotherapy, one combination of both, and two neurostimulation. Most of the studies showed improvement in symptoms though data was largely collected using self-report measures. There were only six RCTs. There is a dearth of literature on interventions for PDs in LMICs and funding bodies should prioritize research in LMICs. Systematic Review Registration Number: PROSPERO <a href="https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021233415" target="_blank">CRD42021233415</a>.</p></div>

Cited by 0Open access

Data Extraction

Laura Ghanem · Figshare · 2026

Data Extraction

Cited by 0Open access

Data extraction.

Amanda J. Gupta (12227680), Patricia Turimumahoro (4574023), Lori Rosman (4633909) et al. · Figshare · 2025

<div> Tuberculosis (TB) and depression frequently co-occur, yet research has largely focused on prevalence rather than diagnostic or treatment methodologies. Given overlapping symptoms, robust research approaches are critical for improving detection and treatment strategies in persons with TB (PWTB). This protocol defines a scoping review that aims to map methodologies used to study depression in individuals with TB, identifying gaps in research design, diagnosis, and treatment that may hinder clinical and public health advancements. A search was conducted in MEDLINE, Embase, PsycINFO, Global Health, Cochrane Library, and Africa-Wide Information using controlled vocabulary related to TB and depression. Studies examining the TB-depression relationship will be included. We will use Covidence to facilitate screening, selection, and data extraction. We will extract data on study design, diagnostic tools, treatment interventions, and analytical approaches. Descriptive characteristics of included studies will be presented using figures and tables. Using the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework, we will evaluate reach by assessing the extent to which studies explore both directions of the TB-depression relationship and include diverse, high-risk populations. Effectiveness will be examined by categorizing study designs to assess methodological diversity and evaluating the diagnostic tools and treatment interventions used, along with their reported efficacy. Adoption will be analyzed by identifying where and by whom depression diagnosis and treatment methodologies have been implemented and whether research findings have influenced clinical guidelines or public health policies. Implementation will be assessed by identifying barriers and facilitators reported in qualitative studies or by researchers regarding the integration of depression care into TB treatment settings. Finally, maintenance will be determined by examining whether diagnostic and treatment methodologies were sustained within health systems, including long-term patient outcomes and the persistence of interventions beyond the research phase. By mapping existing methodologies and identifying research gaps, this review will provide valuable insights to guide future research study designs and improve diagnostic and treatment strategies for depression in PWTB. </div>

Cited by 0Open access

Data extraction.

Monica Aggarwal (13040406), Sukhraj Gill (13040409), Adeel Siddiquei (13040412) et al. · Figshare · 2022

Cited by 0Open access

Data Extraction

Laura Ghanem · Figshare · 2026

Data Extraction

Cited by 0Open access

Data extraction

Justin Bilszta, Sarah Brown · Figshare · 2021

<i>Outcome harvesting</i>

Cited by 0Open access

Extraction-data

Thomas Hoffmann · OSF Preprints (OSF Preprints) · 2020

Cited by 0

Data extraction.

Chenyang Qin (19188338), Shizhe Deng (12986173), Boxuan Li (1894336) et al. · Figshare · 2024

&lt;div&gt;&lt;p&gt;Objective&lt;/p&gt;&lt;p&gt;This study aimed to assess the quality of randomized controlled trials (RCTs) that have reported the use of acupuncture for the treatment of post-stroke aphasia (PSA).&lt;/p&gt;&lt;p&gt;Methods&lt;/p&gt;&lt;p&gt;We systematically searched PubMed, Embase, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang data Information Site, and China Science and Technology Journal Database from January 2013 to June 2023. RCTs utilizing acupuncture as an intervention for the treatment of post-stroke aphasia were included in this study. The overall quality score (OQS) of RCTs was independently evaluated by two researchers using the Consolidated Standards for Reporting Trials (CONSORT) and the Standards for Reporting Interventions in Controlled Trials of Acupuncture (STRICTA) guidelines, with the agreement between researchers calculated using Cohen’s kappa statistics.&lt;/p&gt;&lt;p&gt;Results&lt;/p&gt;&lt;p&gt;In conclusion, we included 38 RCTs in this study. The median OQS of the 38 RCTs was 13 (minimum 8, maximum 20) based on the CONSORT statement. Out of all CONSORT items, 10 (27%) had a positive rate of greater than 80%, while 17 (46%) had a positive rate of less than 10%. The median OQS of the 38 RCTs was 12 (minimum 6, maximum 14) based on the STRICTA guideline. Within the STRICTA guideline, 6 items (35%) had a positive rate of greater than 80%, and 3 items (18%) had a positive rate of less than 10%. Most items based on the CONSORT and STRICTA guidelines were observed to have a perfect or good degree of agreement.&lt;/p&gt;&lt;p&gt;Conclusions&lt;/p&gt;&lt;p&gt;The overall reporting quality of RCTs for acupuncture treatment of PSA was found to be suboptimal. Notably, the reporting quality of the STRICTA guideline is higher compared to the CONSORT statement. Therefore, strict adherence to both the CONSORT and STRICTA statements is recommended to enhance the quality of RCT reports on acupuncture treatment for post-stroke aphasia.&lt;/p&gt;&lt;/div&gt;

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Data Extraction

Kevin B. Read, Lisa Federer, Melissa Rethlefsen et al. · OSF Preprints (OSF Preprints) · 2022

Cited by 0

Data extraction

Cong Zhang · OSF Preprints (OSF Preprints) · 2025

The data used in this study was extracted with this script.

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Data Extraction

Torsten Rackoll, Sofija Vojvodic, CAMARADES Berlin et al. · OSF Preprints (OSF Preprints) · 2024

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Data Extraction

REBECA VILA NOVA DE ARAÚJO TORRES, Maiara Alves do Nascimento, Priscila Oliveira Costa Silva et al. · OSF Preprints (OSF Preprints)

Cited by 0

Data Extraction

Yoel, Elizabeth Skowron, Maureen Zalewski et al. · OSF Preprints (OSF Preprints) · 2018

Cited by 0

Data extraction

Manta, Sofia Wolker, Garcia, Leandro, Christofoletti, Marina et al. · Open Science Framework · 2022

Cited by 0Open access

Data Extraction

Austin Thompson, Micah E. Hirsch, Andrea Ford et al. · OSF Preprints (OSF Preprints) · 2026

Cited by 0

Data extraction

Shan Zhang · OSF Preprints (OSF Preprints) · 2026

Cited by 0

Data extraction

Lupu, Vlad · Open Science Framework · 2025

Cited by 0Open access

Data Extraction

Silva, Priscila Oliveira Costa, Lopes, Leonardo Wanderley, Maiara Alves do Nascimento et al. · Open Science Framework · 2022

Cited by 0Open access

Data extraction

Dan Hamilton, Hannah Fraser, Matthew James Page et al. · OSF Preprints (OSF Preprints)

Cited by 0