Evidence map›Paper›PMID 40016586›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2025

Factors for predicting time to acceptance in the journal of the American academy of orthopaedic surgeons.

Ethan Crawford, Maria Gergoudis, Sarah Whitaker, Logan Laubach, Teja Yeramosu, Nirav Patel

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ethan CrawfordVirginia Commonwealth University, Richmond, USA.
Maria GergoudisVirginia Commonwealth University, Richmond, USA.
Sarah WhitakerVirginia Commonwealth University, Richmond, USA.
Logan LaubachVirginia Commonwealth University, Richmond, USA. Logan.Laubach@ucsf.edu.
Teja YeramosuVirginia Commonwealth University, Richmond, USA.
Nirav PatelJohns Hopkins University, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Journal of the American Academy of Orthopaedic Surgeons (JAAOS) is a high-impact journal that publishes crucial research to inform surgeons' clinical decision-making. The purpose of this study was to determine the median time from submission to acceptance for articles published by the JAAOS and to evaluate factors which may influence time to acceptance.

methodsAll studies published in JAAOS from 2020 to 2022 were obtained. Abstracts were screened for submission and acceptance dates, and time to acceptance was calculated. Studies were excluded if dates were unavailable. Data extracted included article type, main topic, and sex of the first author. Simple linear regression, analysis of variance (ANOVA), and independent samples t-test were utilized for univariate analysis. For multivariate analyses, a standard least squares regression was applied.

resultsWe analyzed 754 articles. Over the past 3 years, time to acceptance has not significantly changed (p = 0.894). Regarding article type, letters had the shortest time to acceptance (median 5 days, IQR 2-10, p < 0.0001), while interventional studies had the longest time to acceptance (median 171.5 days, IQR 106-309.5. Articles pertaining to COVID-19 (median 62 days, IQR 2-121) and diversity (median 90 days, IQR 24-156) had the shortest times to acceptance. Articles pertaining to radiology (median 189.5 days, IQR 100-309.5) and trauma (median 183 days, IQR 126.5-269.5) had the longest times to acceptance (p < 0.0008). Time to acceptance was not significantly different between male and female first authors.

conclusionThis study provides a tool for authors to estimate their mean time from submission to acceptance based on the characteristics of their study. With literature submissions constantly increasing each year with unknown times to acceptance, authors may make a more informed decision with journal selection based on the qualities of their study.

Indexed as

OrthopedicsPeriodicals as TopicCOVID-19HumansTime FactorsUnited StatesArticle topicArticle typeAuthor sexBibliometric analysisTime to acceptanceTime to publication

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.