Efficiency and workload reduction of semi-automated citation screening software for creating clinical practice guidelines: a prospective observational study-Reference-Cited by-同舟云学术

Efficiency and workload reduction of semi-automated citation screening software for creating clinical practice guidelines: a prospective observational study

Published:2023 Issue: Volume: Page:
ISSN:0917-5040
Container-title:Journal of Epidemiology
language:en
Short-container-title:Journal of Epidemiology

Author:

Oami Takehiko¹^ORCID,Okada Yohei²^ORCID,Sakuraya Masaaki³,Fukuda Tatsuma⁴,Shime Nobuaki⁵,Nakada Taka-aki¹

Affiliation:

1. Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine

2. Department of Preventive Services, Kyoto University Graduate School of Medicine

3. Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital

4. Department of Emergency and Critical Care Medicine, Toranomon Hospital

5. Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University

Publisher

Japan Epidemiological Association

Subject

General Medicine,Epidemiology

Link

https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20230227/_pdf

Reference20 articles.

1. 1. Borah R, Brown AW, Capers PL, Kaiser KA. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017;7:e012545.

2. 2. Sampson M, Tetzlaff J, Urquhart C. Precision of healthcare systematic review searches in a cross-sectional sample. Res Synth Methods. 2011;2:119-25.

3. 3. Wang Z, Nayfeh T, Tetzlaff J, O'Blenis P, Murad MH. Error rates of human reviewers during abstract screening in systematic reviews. PLoS One. 2020;15:e0227742.

4. 4. van de Schoot R, de Bruin J, Schram R, Zahedi P, de Boer J, Weijdema F, et al. An open source machine learning framework for efficient and transparent systematic reviews. . Nat Mach Intell. 2021;3:125–33.

5. 5. Marshall IJ, Wallace BC. Toward systematic review automation: a practical guide to using machine learning tools in research synthesis. Syst Rev. 2019;8:163.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Appraisal of AI‐generated dermatology literature reviews;Journal of the European Academy of Dermatology and Venereology;2024-07-12

2. Performance of a Large Language Model in Screening Citations;JAMA Network Open;2024-07-08

3. Comparison of large language models for citation screening: A protocol for a prospective study;2024-06-26

4. Accuracy and reliability of data extraction for systematic reviews using large language models: A protocol for a prospective study;2024-05-22

5. Citation screening using large language models for creating clinical practice guidelines: A protocol for a prospective study;2023-12-31