Evidence map›Paper›PMID 39989237›Full record

ArticleArthritis care & research2025

Comparing Community-Level Social Determinants of Health With Patient Race in Total Hip Arthroplasty Outcomes.

Bella Mehta, Yi Yiyuan, Diyu Pearce-Fisher, Kaylee Ho, Susan M Goodman, Michael L Parks, Fei Wang, Mark A Fontana, Said Ibrahim, Peter Cram and 1 more

Abstract readComparative Study
In one paragraph

Article in Arthritis care & research, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Bella MehtaHospital for Special Surgery and Weill Cornell Medicine, New York, New York.ORCID 0000-0003-2535-0974
Yi YiyuanWeill Cornell Medicine, New York, New York.
Diyu Pearce-FisherHospital for Special Surgery, New York, New York.ORCID 0000-0002-2462-6644
Kaylee HoWeill Cornell Medicine, New York, New York.
Susan M GoodmanHospital for Special Surgery and Weill Cornell Medicine, New York, New York.ORCID 0000-0003-1197-7864
Michael L ParksHospital for Special Surgery and Weill Cornell Medicine, New York, New York.
Fei WangWeill Cornell Medicine, New York, New York.
Mark A FontanaHospital for Special Surgery and Weill Cornell Medicine, New York, New York.
Said IbrahimNorthwell Health, New Hyde Park, New York.
Peter CramThe University of Texas Medical Branch at Galveston.
Rich CaruanaMicrosoft Research, Redmond, Washington.

Funding

Deconstructing Disparities in Lupus PregnanciesK23AR082991 · NIAMS · HOSPITAL FOR SPECIAL SURGERY · PI Bella Mehta · 2024 to 2026
$528k
Anna-Maria and Stephen Kellen FoundationNIAMS NIH HHS K23 AR082991Schmidt Sciences, LLCthe National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH 1K23-AR-082991-01A1
6 · The paper itself

Abstract

objectiveSocial determinants of health (SDOH), including race, have a key role in total hip arthroplasty (THA) disparities. We compared the collective influence of community-level SDOH to the influence of individual factors such as race, on THA outcomes.

methodsThis retrospective cohort study of the Pennsylvania Health Care Cost Containment Council Database (2012-2018) included 105,336 patients undergoing unilateral primary elective THA. We extracted "community" factors from the US census by geocoding patient zip codes, including walkability index, household income, foreign-born individuals, English proficiency, computer and internet access, unpaid family workers, those lacking health insurances, and education. We trained an explainable boosting machine, a modern form of generalized additive models, to predict 90-day readmission, 90-day mortality, one-year revision, and length of stay (LOS). Mean absolute scores were aggregated to measure variable importance (ie, variables that contributed most to the prediction).

resultsThe rates of readmission, revision, and mortality were 8%, 1.5%, and 0.3%, respectively, with a median LOS of two days. Predictive performance measured by area under the receiver operating characteristic curve was 0.76 for mortality, 0.66 for readmission, and 0.57 for one-year revision. For LOS, the root mean squared error was 0.41 (R

conclusionCommunity-level SDOH were significantly more important than individual race in contributing to the prediction of THA outcomes, especially for 90-day mortality.

Indexed as

Arthroplasty, Replacement, HipHealthcare DisparitiesRacial GroupsSocial Determinants of HealthAgedFemaleHumansLength of StayMaleMiddle AgedPatient ReadmissionPennsylvaniaReoperationRetrospective StudiesRisk FactorsTreatment Outcome

Identifiers

PMID39989237
PMCPMC12213238

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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.