Evidence map›Paper›PMID 36128256›Full record

ArticleJB & JS open access

Racial and Socioeconomic Disparities in the Utilization of TKA Among Patients with Posttraumatic Knee Osteoarthritis: Estimates from the United States National Inpatient Sample, 2011-2018.

Joseph Atarere, Emeka Agudile, Vwaire Orhurhu, Ukamaka M Agudile, George Sorescu, Zakari Aliyu Suleiman, Michael J Weaver, Arvind Von Keudell

Abstract read
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Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Joseph AtarereDepartment of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Emeka AgudileDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Vwaire OrhurhuDepartment of Anesthesia, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Ukamaka M AgudileDepartment of Family Medicine, Federal Medical Center, Gusau, Zamfara, Nigeria.
George SorescuDepartment of Internal Medicine, Lemuel Shattuck Hospital, Boston, Massachusetts.
Zakari Aliyu SuleimanDepartment of Anesthesia, University of Ilorin Teaching Hospital, Ilorin, Ondo, Nigeria.
Michael J WeaverDepartment of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Arvind Von KeudellDepartment of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced posttraumatic osteoarthritis (PTOA) of the knee is a cause of substantial disability, particularly in younger individuals, and the treatment of choice is total knee arthroplasty (TKA). Racial and socioeconomic disparities exist in the use of TKA, but, to our knowledge, there have been no studies examining these disparities among patients with PTOA. Methods: We performed chi-square and logistic regression analyses on data from the Nationwide Inpatient Sample (NIS). The outcome of interest was the rate of TKA utilization, and the primary predictors were racial/ethnic group and insurance status. The regression models were adjusted for age, sex, household income, and Charlson Comorbidity Index (CCI). Results: The odds of receiving TKA for Black patients (odds ratio [OR] = 0.55; 95% confidence interval [CI], 0.48 to 0.62) and Hispanic patients (OR = 0.53; 95% CI, 0.46 to 0.62) were lower compared with White patients. Patients with Medicare (OR = 0.51; 95% CI, 0.46 to 0.57), those with Medicaid (OR = 0.48; 95% CI, 0.42 to 0.55), and those who self-paid (OR = 0.91, 95% CI: 0.14 to 0.25) had significantly lower odds of TKA compared with those with private insurance. Conclusions: Black and Hispanic patients are less likely than White patients to utilize TKA, and patients with private insurance are more likely to utilize TKA. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID36128256
PMCPMC9478297

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