Evidence map›Paper›PMID 38437055›Full record

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

Racial Disparities in 30-day Readmission After Orthopaedic Surgery: A 5-year National Surgical Quality Improvement Program Database Analysis.

Victoria E Bergstein, Lucy R O'Sullivan, Kenneth H Levy, Ettore Vulcano, Amiethab A Aiyer

Abstract readComparative Study
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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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

5 authors.

Victoria E BergsteinFrom the Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD (Ms. Bergstein, Ms. O'Sullivan, Dr. Aiyer); the Sophie Davis Biomedical Education Program, CUNY School of Medicine, New York, NY (Mr. Levy), and the Columbia University Orthopedics at Mount Sinai Medical Center, Miami Beach, FL (Dr. Vulcano).ORCID 0009-0006-7332-2141
Lucy R O'Sullivan
Kenneth H Levy
Ettore Vulcano
Amiethab A Aiyer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReadmission rate after surgery is an important outcome measure in revealing disparities. This study aimed to examine how 30-day readmission rates and causes of readmission differ by race and specific injury areas within orthopaedic surgery.

methodsThe American College of Surgeon-National Surgical Quality Improvement Program database was queried for orthopaedic procedures from 2015 to 2019. Patients were stratified by self-reported race. Procedures were stratified using current procedural terminology codes corresponding to given injury areas. Multiple logistic regression was done to evaluate associations between race and all-cause readmission risk, and risk of readmission due to specific causes.

resultsOf 780,043 orthopaedic patients, the overall 30-day readmission rate was 4.18%. Black and Asian patients were at greater (OR = 1.18, P < 0.01) and lesser (OR = 0.76, P < 0.01) risk for readmission than White patients, respectively. Black patients were more likely to be readmitted for deep surgical site infection (OR = 1.25, P = 0.03), PE (OR = 1.64, P < 0.01), or wound disruption (OR = 1.45, P < 0.01). For all races, all-cause readmission was highest after spine procedures and lowest after hand/wrist procedures.

conclusionsBlack patients were at greater risk for overall, spine, shoulder/elbow, hand/wrist, and hip/knee all-cause readmission. Asian patients were at lower risk for overall, spine, hand/wrist, and hip/knee surgery all-cause readmission. Our findings can identify complications that should be more carefully monitored in certain patient populations.

Indexed as

Orthopedic ProceduresOrthopedicsAsianBlack or African AmericanHumansPatient ReadmissionQuality ImprovementWhite

Identifiers

PMID38437055
PMCPMC10906581

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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.