Evidence map›Paper›PMID 41049654›Full record

ArticleJSES international2025

Frailty and comorbidity burden independently predict higher healthcare costs and nonhome discharges after total shoulder arthroplasty.

Cory K Mayfield, Julian Wier, Kevin C Liu, Eric H Lin, Cailan L Feingold, Alexander E Weber, Seth C Gamradt, Joseph N Liu, Frank A Petrigliano

Abstract read
In one paragraph

Article in JSES international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Cory K MayfieldDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Julian WierDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Kevin C LiuDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Eric H LinDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Cailan L FeingoldDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Alexander E WeberDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Seth C GamradtDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Joseph N LiuDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, USA.
Frank A PetriglianoDepartment of Orthopaedic Surgery, University of California at Los Angeles, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With an aging population, total shoulder arthroplasty (TSA) will more frequently be performed in older adults. Comorbidity burden and frailty are two distinct risk factors for adverse outcomes; however, their independent effect on outcomes after TSA is unknown. The aim of this study was to determine the effect of frailty and comorbidities on postoperative healthcare utilization after TSA. Methods: Patients who underwent primary, elective anatomic or reverse TSA between January 1, 2016, and December 31, 2020, were identified using the Premier Healthcare Database. Frailty was defined using the Johns Hopkins Adjusted Clinical Groups Frailty Index. Comorbidity burden was defined via the Elixhauser Comorbidity Index (unhealthy >2 comorbidities). These were then used to define healthy, frail, unhealthy, and frail/unhealthy patients. Rates of protracted (>2 days) length of stay (LOS), skilled nursing facility (SNF) discharges, and readmission were then compared between groups. Multivariable models were conducted to evaluate the adjusted effect of frailty and comorbidity burden. Results: 86,356 patients who underwent TSA were identified. 53,913 were categorized as healthy, 29,461 as unhealthy, 1,640 as frail, and 1,342 as frail/unhealthy. The frail/unhealthy cohort had the highest rates of protracted LOS (65.06%), SNF discharges (29.90%), and readmissions (5.00%). The frail cohort had higher rates of protracted LOS (48.96% vs. 39.78%) and SNF discharges (16.77% vs. 9.94%), with similar readmission rates (3.35% vs. 3.18%) when compared to the unhealthy group. These overall trends persisted after accounting for potential confounding factors. Conclusion: When both present, frailty and comorbidity appear to be a major driver of increased healthcare utilization after TSA. These data can be used to guide patient expectations and illustrate the need for postoperative pathways for these patients.

Indexed as

ComorbidityDispositionFrailtyHealthcare utilizationOptimizationShoulder arthroplasty

Identifiers

PMID41049654
PMCPMC12490631

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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.