Evidence map›Paper›PMID 42433717›Full record

ArticleJournal of shoulder and elbow arthroplasty2026

Predictors for failed same-day discharge after total shoulder arthroplasty.

Jonathan A Marter, Kathleen C Smith, Mina Entessari, Alan W Reynolds, Brian R Waterman, Garrett S Bullock, Nicholas A Trasolini

Abstract read
In one paragraph

Article in Journal of shoulder and elbow arthroplasty, 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

7 authors.

Jonathan A MarterWake Forest University School of Medicine, Winston-Salem, NC, USA.
Kathleen C SmithWake Forest University School of Medicine, Winston-Salem, NC, USA.
Mina EntessariDepartment of Orthopaedics and Rehabilitation, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Alan W ReynoldsDepartment of Orthopaedics and Rehabilitation, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Brian R WatermanDepartment of Orthopaedics and Rehabilitation, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Garrett S BullockDepartment of Orthopaedics and Rehabilitation, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.
Nicholas A TrasoliniDepartment of Orthopaedics and Rehabilitation, Atrium Health Wake Forest Baptist, Winston-Salem, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Same-day discharge (SDD) after total shoulder arthroplasty (TSA) has gained popularity with expansion of TSA performed in the ambulatory setting. Prolonged post-operative length of stay remains challenging, contributing to increased health-care costs without improved outcomes. Identifying risk factors predictive of failed SDD is critical for optimizing patient selection for outpatient vs. inpatient post-operative care settings. The purpose of this study was to evaluate risk factors associated with failure of SDD after TSA. Methods: This was a retrospective review of 808 patients who underwent primary reverse or anatomic TSA between September 2016 and August 2025 at a single institution. Patients undergoing hemiarthroplasty and revision arthroplasty were excluded. Data collected included demographics, comorbidities, pre-operative laboratory and imaging findings, physical examination metrics, and perioperative pain control. SDD was defined as discharge within 24 hours of surgery; failure was defined as discharge >24 hours after surgery. Logistic regression models were used to evaluate potential predictors of SDD failure, controlling for age, body mass index, sex, laterality, race, and type of arthroplasty. The Benjamini-Hochberg procedure was applied to control for false discovery. Odds ratios with 95% confidence intervals were reported. Results: Among 808 patients, 377 (46%) achieved SDD. American Society of Anesthesiology (ASA) physical status classification was the only statistically significant predictor of SDD failure ( Conclusion: In this cohort, ASA classification was a significant predictor of failure for SDD after TSA. In particular, ASA Class 3 and 4 patients are at significant risk for length of stay >24 hours. These findings can inform clinical decision-making to optimize outpatient surgical pathways, improve patient counseling, and reduce health-care expenditures.

Indexed as

Anesthesia scoreLength of stayOutpatient surgeryPre-operative risk factorsSame-day dischargeShoulder arthroplasty

Identifiers

PMID42433717
PMCPMC13352067

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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.