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Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey
BACKGROUND: In recent years, studies that used routinely collected data (RCD), such as electronic medical records and administrative claims, for exploring drug treatment effects, including effectiveness and safety, have been increasingly published. Abstracts of such studies represent a highly attend...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742367/ https://www.ncbi.nlm.nih.gov/pubmed/34996370 http://dx.doi.org/10.1186/s12874-021-01482-9 |
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author | Liu, Mei Wang, Wen Wang, Mingqi He, Qiao Li, Ling Li, Guowei He, Lin Zou, Kang Sun, Xin |
author_facet | Liu, Mei Wang, Wen Wang, Mingqi He, Qiao Li, Ling Li, Guowei He, Lin Zou, Kang Sun, Xin |
author_sort | Liu, Mei |
collection | PubMed |
description | BACKGROUND: In recent years, studies that used routinely collected data (RCD), such as electronic medical records and administrative claims, for exploring drug treatment effects, including effectiveness and safety, have been increasingly published. Abstracts of such studies represent a highly attended source for busy clinicians or policy-makers, and are important for indexing by literature database. If less clearly presented, they may mislead decisions or indexing. We thus conducted a cross-sectional survey to systematically examine how the abstracts of such studies were reported. METHODS: We searched PubMed to identify all observational studies published in 2018 that used RCD for assessing drug treatment effects. Teams of methods-trained collected data from eligible studies using pilot-tested, standardized forms that were developed and expanded from “The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology” (RECORD-PE) statement. We used descriptive analyses to examine how authors reported data source, study design, data analysis, and interpretation of findings. RESULTS: A total of 222 studies were included, of which 118 (53.2%) reported type of database used, 17 (7.7%) clearly reported database linkage, and 140 (63.1%) reported coverage of data source. Only 44 (19.8%) studies stated a predefined hypothesis, 127 (57.2%) reported study design, 140 (63.1%) reported statistical models used, 142 (77.6%) reported adjusted estimates, 33 (14.9%) mentioned sensitivity analyses, and 39 (17.6%) made a strong claim about treatment effect. Studies published in top 5 general medicine journals were more likely to report the name of data source (94.7% vs. 67.0%) and study design (100% vs. 53.2%) than those in other journals. CONCLUSIONS: The under-reporting of key methodological features in abstracts of RCD studies was common, which would substantially compromise the indexing of this type of literature and prevent the effective use of study findings. Substantial efforts to improve the reporting of abstracts in these studies are highly warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01482-9. |
format | Online Article Text |
id | pubmed-8742367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87423672022-01-10 Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey Liu, Mei Wang, Wen Wang, Mingqi He, Qiao Li, Ling Li, Guowei He, Lin Zou, Kang Sun, Xin BMC Med Res Methodol Research BACKGROUND: In recent years, studies that used routinely collected data (RCD), such as electronic medical records and administrative claims, for exploring drug treatment effects, including effectiveness and safety, have been increasingly published. Abstracts of such studies represent a highly attended source for busy clinicians or policy-makers, and are important for indexing by literature database. If less clearly presented, they may mislead decisions or indexing. We thus conducted a cross-sectional survey to systematically examine how the abstracts of such studies were reported. METHODS: We searched PubMed to identify all observational studies published in 2018 that used RCD for assessing drug treatment effects. Teams of methods-trained collected data from eligible studies using pilot-tested, standardized forms that were developed and expanded from “The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology” (RECORD-PE) statement. We used descriptive analyses to examine how authors reported data source, study design, data analysis, and interpretation of findings. RESULTS: A total of 222 studies were included, of which 118 (53.2%) reported type of database used, 17 (7.7%) clearly reported database linkage, and 140 (63.1%) reported coverage of data source. Only 44 (19.8%) studies stated a predefined hypothesis, 127 (57.2%) reported study design, 140 (63.1%) reported statistical models used, 142 (77.6%) reported adjusted estimates, 33 (14.9%) mentioned sensitivity analyses, and 39 (17.6%) made a strong claim about treatment effect. Studies published in top 5 general medicine journals were more likely to report the name of data source (94.7% vs. 67.0%) and study design (100% vs. 53.2%) than those in other journals. CONCLUSIONS: The under-reporting of key methodological features in abstracts of RCD studies was common, which would substantially compromise the indexing of this type of literature and prevent the effective use of study findings. Substantial efforts to improve the reporting of abstracts in these studies are highly warranted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01482-9. BioMed Central 2022-01-07 /pmc/articles/PMC8742367/ /pubmed/34996370 http://dx.doi.org/10.1186/s12874-021-01482-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Mei Wang, Wen Wang, Mingqi He, Qiao Li, Ling Li, Guowei He, Lin Zou, Kang Sun, Xin Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title | Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title_full | Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title_fullStr | Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title_full_unstemmed | Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title_short | Reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
title_sort | reporting of abstracts in studies that used routinely collected data for exploring drug treatment effects: a cross-sectional survey |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742367/ https://www.ncbi.nlm.nih.gov/pubmed/34996370 http://dx.doi.org/10.1186/s12874-021-01482-9 |
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