Evidence map›Paper›PMID 42100109›Full record

ArticleArthroplasty today2026

Clinical and Nonclinical Determinants of Simultaneous vs Staged Bilateral Total Knee Arthroplasty.

Gwyneth C Maloy, Wesley Day, Scott J Halperin, Wasif Islam, Jonathan N Grauer, Ilda B Molloy

Abstract read
In one paragraph

Article in Arthroplasty today, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gwyneth C MaloyDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Wesley DayDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Scott J HalperinDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Wasif IslamDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Jonathan N GrauerDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.
Ilda B MolloyDepartment of Orthopaedics & Rehabilitation, Yale School of Medicine, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients requiring bilateral total knee arthroplasty (TKA) may undergo surgery either simultaneously or in a staged fashion. Contemporary trends in utilization, as well as clinical and nonclinical factors correlating with surgical selection, remain undefined. Methods: Adult patients who underwent simultaneous or staged bilateral TKA between 2016 and 2021 were identified. Patient characteristics were assessed, including clinical (age, sex, Elixhauser Comorbidity Index) and nonclinical factors (geographic region, insurance status, and social determinants of health). Multivariate logistic regression was performed to identify predictors of undergoing simultaneous bilateral TKA vs staged bilateral TKA. Results: Of the 138,468 patients undergoing bilateral TKA, 20,473 (14.8%) had simultaneous and 117,995 (85.2%) had staged bilateral TKA. The proportion of simultaneous procedures declined from 19.0% in 2016 to 7.1% in 2021. Simultaneous TKA patients were younger (63.9 ± 8.3 years vs 65.6 ± 8.6 years for staged; Conclusions: The use of simultaneous bilateral TKA substantially declined between 2016 and 2021 relative to staged procedures. Surgical decisions were associated with both clinical (age, comorbidity burden, sex) and nonclinical (region, insurance, social determinants of health) factors.

Indexed as

Social determinants of healthTotal knee arthroplastyTrends

Identifiers

PMID42100109
PMCPMC13145251

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Registered trials

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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.