Evidence map›Paper›PMID 38421605›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2024

The Top 100 Classical and Contemporary Papers on Elbow Surgery: A Trend Analysis of Elbow Surgery Literature.

Jacob A Worden, Andrew M Gabig, Hayden L Cooke, Michael B Gottschalk, Eric R Wagner

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jacob A WordenFrom the Department of Orthopaedic Surgery, Medical College of Georgia, Augusta, GA (Mr. Worden), and the Department of Orthopaedic Surgery, Emory University, Atlanta, GA (Dr. Gabig, Ms. Cooke, Dr. Gottschalk, and Dr. Wagner).
Andrew M Gabig
Hayden L Cooke
Michael B Gottschalk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBibliometric analyses provide an aggregate of the most frequently cited literature in a given field. The purpose of this study was to analyze the top 100 most-cited classical and contemporary papers relating to elbow surgery to serve as a reference for surgeons and trainees for educational and research purposes.

methodsA search was conducted for all papers containing the term "elbow" in the categories Orthopedics, Surgery, and Sports Science in the Clarivate Web of Science. Classical papers were those published from 1980 to 2009, and contemporary papers were those published from 2010 to 2019. Articles were assessed by country of origin, authors and their credentials, parent journal, level of evidence, and topic.

resultsCitation frequency ranged from 86 to 867. Among the classical group, there were more level IV papers compared with level I papers; however, the opposite was true in the contemporary group. The most common topic in the classical group was elbow anatomy and function, and the most common topic in the contemporary group was lateral epicondylitis and medial epicondylitis and associated therapies. DISCUSSION: This bibliometric analysis serves to help guide surgeons and trainees on the highly cited articles and important topics in elbow surgery, demonstrating a shift to prospective randomized controlled trials in recent years. LEVEL OF EVIDENCE: Level V (Systematic Review with Level V as Lowest LOE).

Indexed as

BibliometricsElbowElbow JointHumansOrthopedic ProceduresOrthopedicsTennis Elbow

Identifiers

PMID38421605
PMCPMC10906574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.