Reporting quality in preclinical animal experimental research in 2009 and 2018: A nationwide systematic investigation

Lack of translation and irreproducibility challenge preclinical animal research. Insufficient reporting methodologies to safeguard study quality is part of the reason. This nationwide study investigates the reporting prevalence of these methodologies and scrutinizes the reported information’s level...

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Veröffentlicht in:PloS one 2022-11, Vol.17 (11), p.e0275962-e0275962
Hauptverfasser: Kousholt, Birgitte S, Præstegaard, Kirstine F, Stone, Jennifer C, Thomsen, Anders Fick, Johansen, Thea Thougaard, Ritskes-Hoitinga, Merel, Wegener, Gregers
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container_issue 11
container_start_page e0275962
container_title PloS one
container_volume 17
creator Kousholt, Birgitte S
Præstegaard, Kirstine F
Stone, Jennifer C
Thomsen, Anders Fick
Johansen, Thea Thougaard
Ritskes-Hoitinga, Merel
Wegener, Gregers
description Lack of translation and irreproducibility challenge preclinical animal research. Insufficient reporting methodologies to safeguard study quality is part of the reason. This nationwide study investigates the reporting prevalence of these methodologies and scrutinizes the reported information’s level of detail. Publications were from two time periods to convey any reporting progress and had at least one author affiliated to a Danish University. We retrieved all relevant animal experimental studies using a predefined research protocol and a systematic search. A random sampling of 250 studies from 2009 and 2018 led to 500 publications in total. Reporting of measures known to impact study results estimates were assessed. Part I discloses a simplified two-level scoring “yes/no” to identify the presence of reporting. Part II demonstrates an additional three-level scoring to analyze the reported information’s level of detail. Overall reporting prevalence is low, although minor improvements are noted. Reporting of randomization increased from 24.0% in 2009 to 40.8% in 2018, blinded experiment conduct from 2.4% to 4.4%, blinded outcome assessment from 23.6% to 38.0%, and sample size calculation from 3.2% to 14.0%. Poor reporting of details is striking with reporting of the random allocation method to groups being only 1.2% in 2009 and 6.0% in 2018. Reporting of sample size calculation method was 2.4% in 2009 and 7.6% in 2018. Only conflict-of-interest statements reporting increased from 37.6% in 2009 to 90.4%. Measures safeguarding study quality are poorly reported in publications affiliated with Danish research institutions. Only a modest improvement was noted during the period 2009–2018, and the lack of details urgently prompts institutional strategies to accelerate this. We suggest thorough teaching in designing, conducting and reporting animal studies. Education in systematic review methodology should be implemented in this training and will increase motivation and behavior working towards quality improvements in science.
doi_str_mv 10.1371/journal.pone.0275962
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Insufficient reporting methodologies to safeguard study quality is part of the reason. This nationwide study investigates the reporting prevalence of these methodologies and scrutinizes the reported information’s level of detail. Publications were from two time periods to convey any reporting progress and had at least one author affiliated to a Danish University. We retrieved all relevant animal experimental studies using a predefined research protocol and a systematic search. A random sampling of 250 studies from 2009 and 2018 led to 500 publications in total. Reporting of measures known to impact study results estimates were assessed. Part I discloses a simplified two-level scoring “yes/no” to identify the presence of reporting. Part II demonstrates an additional three-level scoring to analyze the reported information’s level of detail. Overall reporting prevalence is low, although minor improvements are noted. 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subjects Analysis
Animal experimentation
Animal research
Bias
Colleges & universities
Conflicts of interest
Evaluation
Experimental research
Experiments
Health risks
Internal validity
Laboratory animals
Mathematical analysis
Medical research
Medicine, Experimental
Motivation
Quality control
Random sampling
Research facilities
Research institutions
Statistical sampling
Systematic review
title Reporting quality in preclinical animal experimental research in 2009 and 2018: A nationwide systematic investigation
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