Evidence map›Paper›PMID 35923814›Full record

ReviewJB & JS open access

Effects of COVID-19 on Geographical Trends in the Orthopaedic Surgery Residency Match.

Brendan M Holderread, Alex Han, Davinder S Mand, Jonathan Liu, Joshua D Harris, Shari R Liberman

Open access · goldAbstract readReview
In one paragraph

Review in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Brendan M HolderreadDepartment of Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, Texas.ORCID https://orcid.org/0000-0002-2833-0613
Alex HanDepartment of Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, Texas.ORCID https://orcid.org/0000-0002-7338-0038
Davinder S MandDepartment of Orthopedic Surgery, Baylor Scott and White Health, Temple, Texas.ORCID https://orcid.org/0000-0002-5599-8600
Jonathan LiuDepartment of Orthopedic Surgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island.ORCID https://orcid.org/0000-0003-2572-5799
Joshua D HarrisDepartment of Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, Texas.ORCID https://orcid.org/0000-0002-7606-2473
Shari R LibermanDepartment of Orthopedics and Sports Medicine, Houston Methodist Hospital, Houston, Texas.ORCID https://orcid.org/0000-0003-1739-0781
Houston Methodist · USBaylor Scott & White Health · USBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, medical students often match within the same geographic location or to an orthopaedic surgery residency program affiliated with their medical school. The objective of this investigation was to determine differences in geographic trends between orthopaedic residents matching before and during the Coronavirus-19 (COVID-19) pandemic.

methodsThis study analyzed 2 groups of orthopaedic residents: Pre-COVID cohort (years 2016-2020) and COVID-impacted cohort (year 2021). A list of accredited orthopaedic surgery residency programs (n = 202) was obtained. Orthopaedic residency program webpages were located (region [n = 4], division [n = 9], state [n = 50]). For each resident, their medical school and year of postgraduate training were recorded. Year 2021 resident information was obtained from the orthopaedic residency program webpages, social media accounts, and medical school match lists. Residency programs affiliated with a medical school were also assigned. Descriptive statistics were performed. Two sample Student

resultsThere were 4,832 residents analyzed (4,074 in Pre-COVID cohort; 758 in COVID-impacted cohort [758/868 of all positions in 2021 Match]). Statistically significant differences were detected between the COVID-impacted cohort (39.6%, p < 0.001) matching in the same state as their medical school (Pre-COVID 33.1%) and the COVID-impacted cohort (28.0%, p < 0.001) matching to a residency program affiliated with their medical school (Pre-COVID 21.2%). In the COVID-impacted cohort, students who matched in state matched to their home program more frequently (69.3%) compared with the Pre-COVID cohort (60.5%). Geographically, there was a difference in the COVID-impacted cohort (52.5%, p < 0.011) matching in the same division (Pre-COVID 47.5%). No statistically significant differences were identified for residents matching to the same region as their medical school (Pre-COVID 60.1%; COVID-impacted 61%, p = 0.968).

conclusionResidents matching in the same state, in the same division, and to a residency program affiliated with their medical school increased significantly in the COVID-impacted cohort. There was no difference between cohorts matching in the same region as their medical school. Level of Evidence: Observational/Cross-Sectional.

Identifiers

PMID35923814
PMCPMC9302316
OpenAlexW4286711866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.