Evidence map›Paper›PMID 34327668›Full record

ArticleJournal of racial and ethnic health disparities2022

Total Versus Unicondylar Knee Arthroplasty: Does Race Play a Role in the Treatment Selection?

Anya Kamaraju, Richard Feinn, Karen Myrick, Mohamad J Halawi

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Article in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Anya KamarajuFrank H Netter MD School of Medicine at Quinnipiac University, Hamden, CT, USA.
Richard FeinnFrank H Netter MD School of Medicine at Quinnipiac University, Hamden, CT, USA.
Karen MyrickFrank H Netter MD School of Medicine at Quinnipiac University, Hamden, CT, USA.
Mohamad J HalawiDepartment of Orthopaedic Surgery, Baylor College of Medicine, Houston, TX, USA. mohamad.halawi@bcm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRacial disparities have been well reported in the utilization and outcomes of knee arthroplasty, but it is unclear whether disparities also extend to the choice of surgical treatment. The primary objective of this study is to identify if race plays a role in the selection of unicondylar versus total knee arthroplasty (UKA, TKA) for isolated tibiofemoral osteoarthritis (OA). A secondary objective is to identify the differences in the complication rates for each procedure by racial identity.

methodsA retrospective review of the 2006-2018 American College of Surgeons National Surgical Quality Improvement Program was performed. Asian, Black, Hawaiian/Pacific Islander, Hispanic, Native American/Alaskan, and White individuals who underwent primary elective UKA or TKA were compared in terms of UKA vs. TKA utilization rates and outcomes.

resultsA total of 308,715 patients were analyzed. After controlling for all baseline differences, Whites (3.5%), Asians (3.7%), and Hawaiian/Pacific Islanders (3.1%) had around twice the rate of UKA compared to Blacks (1.6%), while Hispanics (2.1%) and Native American/Alaskans (1.7%) were in between (p <0.001). TKA was associated with higher complications compared to UKA in all racial groups (p < 0.001).

conclusionMinority patients, especially Blacks, were less likely to receive UKA for treatment of isolated knee OA. This is significant because treatment selection in patients who are eligible for UKA can have a significant impact on postoperative recovery and complications rates.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeHumansPatient SelectionRetrospective StudiesTreatment OutcomeWhite PeopleDisparitiesOsteoarthritisTotal knee arthroplastyTreatment selectionUnicondylar knee arthroplasty

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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.