Adherence to PRISMA-A and reporting was suboptimal in meta-analysis abstracts on drug efficacy for tumors: a literature survey

To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. A total of 3,211 eligible meta...

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Vydáno v:	Journal of clinical epidemiology Ročník 175; s. 111506
Hlavní autoři:	Yan, Baihui, Li, Min, Zhang, Jiaxin, Chang, Hui, Ma, Chi, Li, Fan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 01.11.2024 Elsevier Limited
Témata:	Abstract Abstracting and Indexing - standards Abstracting and Indexing - statistics & numerical data Abstracts Adherence Antineoplastic Agents - therapeutic use Checklist Clinical medicine Correlation coefficient Correlation coefficients Decision making Design factors Drug efficacy Drug therapy Effectiveness Guideline Adherence - statistics & numerical data Humans Internal Medicine Literature reviews Medical research Meta-analysis Meta-Analysis as Topic Neoplasms - drug therapy Oncology PRISMA-A Statistical analysis Systematic Reviews as Topic Tumors Variance analysis Adherence PRISMA-A Drug efficacy Abstract Meta-analysis Tumors
ISSN:	0895-4356, 1878-5921, 1878-5921
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Abstract	To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. A total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score. The mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001). Adherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. [Display omitted]
AbstractList	To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A.OBJECTIVESTo assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A.A total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score.STUDY DESIGN AND SETTINGA total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score.The mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001).RESULTSThe mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001).Adherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc.CONCLUSIONAdherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. AbstractObjectivesTo assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. Study Design and SettingA total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score. ResultsThe mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score ( r = 0.358, P < .001). ConclusionAdherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. A total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score. The mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001). Adherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. [Display omitted] To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A. A total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score. The mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001). Adherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc. ObjectivesTo assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) and identify the potential factors associated with adherence to PRISMA-A.Study Design and SettingA total of 3,211 eligible meta-analysis abstracts were assessed using a checklist adapted from the PRISMA-A statement. Adherence to PRISMA-A was analyzed by the total PRISMA-A score and adherence rate (AR). The independent samples t-test was performed to compare the difference of the total scores between two groups with different characteristics, and the analysis of variance or Kruskal-Wallis test was used among multiple groups. The Pearson's correlation coefficient was used to measure the correlation between the word count and the total PRISMA-A score.ResultsThe mean total score was 8.11 (±1.76) and the AR was 57.94%. The items with lower AR were funding (AR = 0.93%), registration (AR = 3.86%), and risk of bias (AR = 7.85%). Meta-analyses published after the release of PRISMA-A showed better adherence to PRISMA-A. Compared to unstructured abstracts, structured abstracts had a higher AR for each item in PRISMA-A. There was a positive correlation between the word count of abstract and the total PRISMA-A score (r = 0.358, P < .001).ConclusionAdherence to PRISMA-A was suboptimal in meta-analysis abstracts on drug efficacy for tumors, despite the improvement after the release of PRISMA-A. Various measures should be implemented to improve compliance with PRISMA-A and enhance the reporting of meta-analysis abstracts, including journal endorsement of PRISMA-A, requirement of stricter adherence to PRISMA-A, relaxation of abstract word limits, etc.
ArticleNumber	111506
Author	Li, Fan Zhang, Jiaxin Li, Min Yan, Baihui Ma, Chi Chang, Hui
Author_xml	– sequence: 1 givenname: Baihui orcidid: 0009-0008-8868-3796 surname: Yan fullname: Yan, Baihui organization: School of Health Management, China Medical University, Shenyang, 110122, China – sequence: 2 givenname: Min surname: Li fullname: Li, Min organization: Department of Internal Medicine, Qiqihar Heping Hospital, Qiqihar, 161000 China – sequence: 3 givenname: Jiaxin surname: Zhang fullname: Zhang, Jiaxin organization: School of Health Management, China Medical University, Shenyang, 110122, China – sequence: 4 givenname: Hui surname: Chang fullname: Chang, Hui organization: Medical Quality Control Management Office, Center for Liaoning Health Service, Shenyang, 110005 China – sequence: 5 givenname: Chi orcidid: 0000-0002-5127-0487 surname: Ma fullname: Ma, Chi email: lg_365@163.com organization: China−Spain Joint Laboratory on Material Science, Shenyang University of Chemical Technology, Shenyang, 110142, China – sequence: 6 givenname: Fan orcidid: 0000-0002-0511-3536 surname: Li fullname: Li, Fan email: fanli@cmu.edu.cn organization: School of Health Management, China Medical University, Shenyang, 110122, China
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Keywords	Adherence PRISMA-A Drug efficacy Abstract Meta-analysis Tumors
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Snippet	To assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic Reviews and... AbstractObjectivesTo assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for... ObjectivesTo assess the reporting of meta-analysis abstracts on drug efficacy for tumors in terms of adherence to Preferred Reporting Items for Systematic...
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SubjectTerms	Abstract Abstracting and Indexing - standards Abstracting and Indexing - statistics & numerical data Abstracts Adherence Antineoplastic Agents - therapeutic use Checklist Clinical medicine Correlation coefficient Correlation coefficients Decision making Design factors Drug efficacy Drug therapy Effectiveness Guideline Adherence - statistics & numerical data Humans Internal Medicine Literature reviews Medical research Meta-analysis Meta-Analysis as Topic Neoplasms - drug therapy Oncology PRISMA-A Statistical analysis Systematic Reviews as Topic Tumors Variance analysis
Title	Adherence to PRISMA-A and reporting was suboptimal in meta-analysis abstracts on drug efficacy for tumors: a literature survey
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