A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Peer review comments on drug trials submitted to medical journals differ depending on sponsorship, results and acceptance: a retrospective cohort study. | LitMetric

Peer review comments on drug trials submitted to medical journals differ depending on sponsorship, results and acceptance: a retrospective cohort study.

BMJ Open

Department of Pharmacology-Toxicology, Clinical Research Centre Nijmegen, Radboud University Medical Center, Nijmegen, The Netherlands Teva Pharmaceuticals, Amsterdam, The Netherlands.

Published: September 2015

Objective: During peer review, submitted manuscripts are scrutinised by independent experts to assist journal editors in their decision-making and to help improve the quality of articles. In this retrospective cohort study, peer review comments for drug trials submitted to medical journals were analysed to investigate whether there is a relation between the content of these comments and sponsorship, direction of results and decision about acceptance.

Design/setting: Descriptive content analysis of reviewer comments made on manuscripts on drug trials submitted to eight medical journals (January 2010-April 2012). For each manuscript, the number of reviewers, decision about acceptance, sponsorship and direction of results were extracted. Reviewer comments were classified using a predefined checklist.

Results: Reviewer reports for 246 manuscripts were assessed. Industry-sponsored trials were more likely to receive comments about lack of novelty (8.9%) than industry-supported (2.5%) and non-industry trials (6.1%, overall p=0.038). Non-industry trials more often received comments about poor experimental design (69.7%) than industry-supported (58.8%) and industry-sponsored trials (52.9%, overall p=0.019). Non-industry trials were also more likely to receive comments regarding inappropriate statistical analyses (28.4%) than industry-supported (23.5%) and industry-sponsored trials (15.1%, overall p=0.006). Manuscripts with negative results were more likely to receive comments about inappropriate conclusions (29.3%) than those with positive results (18.9%, p=0.010). Rejected manuscripts had more often received comments on the research question not being clinically relevant (7.8%) than accepted manuscripts (1.6%, p=0.002), and also on lack of novelty (8.3% vs 2.6%, p=0.008) and poor experimental design (68.6% vs 50.5%, p<0.001).

Conclusions: Reviewers identified fewer shortcomings regarding design and statistical analyses in industry-related trials, but commented more often on a lack of novelty in industry-sponsored trials. Negative trial results did not significantly influence the nature of comments other than appropriateness of the conclusion. Manuscript acceptance was primarily related to the research question and methodological robustness of studies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593154PMC
http://dx.doi.org/10.1136/bmjopen-2015-007961DOI Listing

Publication Analysis

Top Keywords

peer review
12
drug trials
12
trials submitted
12
submitted medical
12
medical journals
12
industry-sponsored trials
12
receive comments
12
non-industry trials
12
comments
10
trials
9

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!