Comparison of Study Results Reported in medRxiv Preprints vs Peer-reviewed Journal Articles

Authors : Guneet Janda, Vishal Khetpal, Xiaoting Shi, Joseph S. Ross, Joshua D. Wallach

Question

What is the concordance among sample size, primary end points, results for primary end points, and interpretations described in preprints of clinical studies posted on medRxiv that are subsequently published in peer-reviewed journals (preprint-journal article pairs)?

Findings

In this cross-sectional study of 547 clinical studies that were initially posted to medRxiv and later published in peer-reviewed journals, 86.4% of preprint-journal article pairs were concordant in terms of sample size, 97.6% in terms of primary end points, 81.1% in terms of results of primary end points, and 96.2% in terms of study interpretations.

Meaning

This study suggests that most clinical studies posted as preprints on medRxiv and subsequently published in peer-reviewed journals had concordant study characteristics, results, and final interpretations.

URL : Comparison of Clinical Study Results Reported in medRxiv Preprints vs Peer-reviewed Journal Articles

Original location : https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2799350

Publishing at any cost: a cross-sectional study of the amount that medical researchers spend on open access publishing each year

Authors : Mallory K. Ellingson, Xiaoting Shi, Joshua J. Skydel, Kate Nyhan,Richard Lehman, Joseph S. Ross, Joshua D. Wallach

Objective

To estimate the financial costs paid by individual medical researchers from meeting the article processing charges (APCs) levied by open access journals in 2019.

Design

Cross-sectional analysis.

Data sources

Scopus was used to generate two random samples of researchers, the first with a senior author article indexed in the ‘Medicine’ subject area (general researchers) and the second with an article published in the ten highest-impact factor general clinical medicine journals (high-impact researchers) in 2019.

For each researcher, Scopus was used to identify all first and senior author original research or review articles published in 2019. Data were obtained from Scopus, institutional profiles, Journal Citation Reports, publisher databases, the Directory of Open Access Journals, and individual journal websites.

Main outcome measures

Median APCs paid by general and high-impact researchers for all first and senior author research and review articles published in 2019.

Results

There were 241 general and 246 high-impact researchers identified as eligible for our study. In 2019, the general and high-impact researchers published a total of 914 (median 2, IQR 1–5) and 1471 (4, 2–8) first or senior author research or review articles, respectively. 42% (384/914) of the articles from the general researchers and 29% (428/1471) of the articles from the high-impact medical researchers were published in fully open access journals.

The median total APCs paid by general researchers in 2019 was US$191 (US$0–US$2500) and the median total paid by high-impact researchers was US$2900 (US$0–US$5465); the maximum paid by a single researcher in total APCs was US$30115 and US$34676, respectively.

Conclusions

Medical researchers in 2019 were found to have paid between US$0 and US$34676 in total APCs. As journals with APCs become more common, it is important to continue to evaluate the potential cost to researchers, especially on individuals who may not have the funding or institutional resources to cover these costs.

URL : Publishing at any cost: a cross-sectional study of the amount that medical researchers spend on open access publishing each year

DOI : http://dx.doi.org/10.1136/bmjopen-2020-047107

Data Sharing and Cardiology : Platforms and Possibilities

AuthorsPranammya DeyJoseph S. RossJessica D. RitchieNihar R. DesaiSanjeev P. Bhavnani, Harlan M. Krumholz

Sharing deidentified patient-level research data presents immense opportunities to all stakeholders involved in cardiology research and practice. Sharing data encourages the use of existing data for knowledge generation to improve practice, while also allowing for validation of disseminated research.

In this review, we discuss key initiatives and platforms that have helped to accelerate progress toward greater sharing of data. These efforts are being prompted by government, universities, philanthropic sponsors of research, major industry players, and collaborations among some of these entities.

As data sharing becomes a more common expectation, policy changes will be required to encourage and assist data generators with the process of sharing the data they create.

Patients also will need access to their own data and to be empowered to share those data with researchers. Although medicine still lags behind other fields in achieving data sharing’s full potential, cardiology research has the potential to lead the way.

URL : http://www.onlinejacc.org/content/70/24/3018