Evidence map›Paper›PMID 38818101›Full record

ArticleShoulder & elbow2024

Implant-related and medical complications in patients with sarcopenia undergoing total shoulder arthroplasty: A retrospective matched-cohort analysis.

J Alex Albright, Edward J Testa, Kenny Chang, E Scott Paxton, Alan H Daniels

Abstract read
In one paragraph

Article in Shoulder & elbow, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

5 authors.

J Alex AlbrightBrown University Warren Alpert Medical School, Providence, RI, USA.ORCID https://orcid.org/0000-0001-9579-9924
Edward J TestaDepartment of Orthopaedics, Brown University Warren Alpert Medical School, Providence, RI, USA.ORCID https://orcid.org/0000-0002-8693-1396
Kenny ChangBrown University Warren Alpert Medical School, Providence, RI, USA.
E Scott PaxtonDepartment of Orthopaedics, Brown University Warren Alpert Medical School, Providence, RI, USA.
Alan H DanielsDepartment of Orthopaedics, Brown University Warren Alpert Medical School, Providence, RI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the continually aging United States population, the number of patients with sarcopenia who undergo shoulder arthroplasty may concomitantly increase. This retrospective cohort study aims to evaluate the rates of short-term implant-related and medical complications following shoulder arthroplasty in patients with and without a recent diagnosis of sarcopenia. Methods: An exact 1:3 matched analysis of 4177 patients was performed using the PearlDiver database. Multivariable logistic regression was used to compare complications, Kaplan-Meier failure analysis was used to compare the cumulative hospital readmission rates. Two-sample T-testing was used to compare the 90-day cost of care. Results: Sarcopenic patients were significantly more likely to experience postoperative shoulder instability (odds ratio (OR) = 2.32, 95% confidence interval (CI), 1.21-4.39) and periprosthetic infection (OR = 3.83, 95% CI, 1.74-8.67) within 1 year of their arthroplasty. Sarcopenic patients were at 25% and 41% greater risk of emergency department presentation and hospital readmission 1-year post-arthroplasty, respectively. Ninty-day total costs were greater among sarcopenics ($16 112.23 vs. 10 679.58, Conclusion: These results are important for orthopaedic surgeons counselling patients with a low muscle mass on the potential for increased complications after undergoing a total shoulder arthroplasty procedure.

Indexed as

arthroplastycomplicationsmusclereadmissionsarcopeniaShoulder

Identifiers

PMID38818101
PMCPMC11135192

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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.