technical paper
Open Science Policies of Surgical Journals and the Use of Open Science Practices in Research Published in Surgical Journals
Objective Reproducibility and transparency are important
considerations in medical research1; recent retractions of
studies in several medical journals underscore the relevance
of these issues.2
Many tools exist to promote research quality
and transparency, including protocol preregistration sites for
observational studies, EQUATOR Network reporting
guidelines for most common study types, and preprint
servers.3
However, the extent to which the surgical research
ecosystem has adopted these tools is unknown. The purpose
of this study was to describe the use of these quality-
promoting practices in surgical research.
Design Use of 5 open science practices were measured
(preprint publication before peer-reviewed publication; use of
EQUATOR Network guidelines; study protocol
preregistration before peer-reviewed publication; published
peer review; and public accessibility of data, experimental
methods, and/or code) in surgical journals and manuscripts.
A distinction was made between preregistration of clinical
trials in established trial registries (eg, ClinicalTrials.gov) and
the emerging practice of preregistering outcomes and analysis
plans for observational studies on newer platforms (eg,
Protocols.io). The top 8 surgical journals by impact factor
were included. A random sample of 240 research articles
published from January 2019 to August 2021 by these
journals (30 from each) were selected via random number
generator and included in the study. The number of journals
and studies that explicitly endorsed or used these practices
was measured.
Results In their author guidelines, 7 of the 8 journals (88%)
recommended the use of EQUATOR Network guidelines
before journal submission. Five journals (63%) explicitly
stated that they permitted submissions that were previously
released as preprints. Only 3 journals (38%) recommended
that authors preregister their protocols for observational
studies. None published peer reviewer comments. Five (63%)
explicitly recommended that authors make their methods,
including all code, laboratory protocols, and data if possible,
publicly available. Of 240 articles, 65 (27%) explicitly
complied with the appropriate EQUATOR Network guideline.
Only 30 observational studies (17%) preregistered their study
protocols. None of the articles were posted on a preprint
server before journal publication. Only 15 studies (6%) fully
disclosed their methods in the form of making code public or
publishing a separate protocol (Table 21). Research in the
International Journal of Surgery exhibited the highest use of
open science practices; studies in that journal used a mean of
1.9 open science practices vs 0.4 in the other journals (P <
.001). Journals that recommended (but did not explicitly
require) compliance with an open science practice, such as
EQUATOR Network guideline use, had higher levels of open
science practice use in their research vs journals that did not
mention the practice at all (18% vs 4%; P < .001). There was a
positive association between journal impact factor and use of
open science practices in its published studies (P < .001).
Conclusions Surgical research is adapting slowly to open
science practices in academia, leaving the field potentially
vulnerable to poor research quality. There are many
opportunities for improvement. The responsibility falls on
both researchers and journals to consider a strategic model to
adopt these new tools to promote high-quality research
generation and dissemination.
References
1. Ioannidis JPA. Why most published research findings are
false. PLoS Med. 2005;2(8):e124.
2. Ledford H, Van Noorden R. High-profile coronavirus
retractions raise concerns about data oversight. Nature.
2020;582(7811):160.
3. PLOS. Transforming scientific communication through
open science. Accessed January 26, 2022. https://plos.org/
open-science/
Conflict of Interest Disclosures None reported.
Funding/Support Jayson S. Marwaha is supported by a grant
from the National Library of Medicine/National Institutes of Health
(T15LM007092-30) and the Biomedical Informatics and Data
Science Research Training (BIRT) Program of Harvard University.
Additional Information Jayson S. Marwaha and Hao Wei
Chen are co–first authors and Harlan M. Krumholz and Jeffrey B.
Matthews are co–senior authors.