Evidence map›Paper›PMID 38430979›Full record

ArticleJournal of shoulder and elbow surgery2024

Disease diagnosis and arthroplasty type are strongly associated with short-term postoperative patient-reported outcomes in patients undergoing primary total shoulder arthroplasty.

Sambit Sahoo, Vahid Entezari, Jason C Ho, Bong-Jae Jun, Cleveland Clinic Shoulder Group, Yuxuan Jin, Peter B Imrey, Kathleen A Derwin, Joseph P Iannotti, Eric T Ricchetti

Open access · bronzeAbstract read
In one paragraph

Article in Journal of shoulder and elbow surgery, 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
4.0field-weighted citation impact, top 7% of its field
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, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Sambit SahooDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Vahid EntezariDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Jason C HoDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.
Bong-Jae JunDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic Shoulder Group
Yuxuan JinDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Peter B ImreyDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Kathleen A DerwinDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Joseph P IannottiDepartment of Orthopaedic Surgery, Cleveland Clinic Florida, Weston, FL, USA.
Eric T RicchettiDepartment of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA. Electronic address: ricchee@ccf.org.
Cleveland Clinic · USCleveland Clinic Florida · US

Funding

Identifying the patient, disease, surgical, and implant positional shift factors that predict outcomes following total shoulder arthroplastyR01AR075286 · NIAMS · CLEVELAND CLINIC LERNER COM-CWRU · PI RICCHETTI, ERIC T. · 2020 to 2022
$616k
NIAMS NIH HHS R01 AR075286
6 · The paper itself

Abstract

backgroundPrognostic factors for total shoulder arthroplasty (TSA) clinical outcomes are incompletely understood. This study investigates the associations of preoperative patient, disease-specific, and surgical factors with 1-year postoperative PENN Shoulder Score (PSS) in patients undergoing primary TSA.

methodsCleveland Clinic patients undergoing primary anatomic TSA (aTSA) or reverse TSA (rTSA) for glenohumeral osteoarthritis (GHOA) or rotator cuff tear arthropathy (CTA) between February 2015 and August 2019, and having complete preoperative and 1-year postoperative patient-reported outcome measures (PROMs), were included. Twenty preselected preoperative patient, disease-specific, and surgical factors were used to fit multivariable models for 1-year PSS and its subscores.

resultsOf 1427 eligible primary TSAs, 1174 had 1-year follow-up by PROMs (82%), with 1042 analyzed after additional exclusions, including 30% rTSAs for CTA (n = 308), 26% rTSAs for GHOA (n = 275), and 44% aTSAs for GHOA (n = 459). All PROMs showed statistically significant improvements postoperatively, with 89% of patients reaching an acceptable symptom state. Lower 1-year PSS was associated with younger age, female sex, current smoking, chronic pain diagnosis, history of prior surgery, worker's compensation claim, lower preoperative mental health, lower baseline PSS, absence of glenoid bone loss, and diagnosis-arthroplasty type (CTA-rTSA < GHOA-rTSA < GHOA-aTSA). The most important prognostic factors associated with 1-year PSS were diagnosis-arthroplasty type, baseline mental health status, and insurance status.

conclusionsDisease diagnosis, arthroplasty type, and several other baseline factors are strongly and individually associated with PROMs following primary TSA, with patients undergoing aTSA for GHOA demonstrating the highest PROM scores at 1-year follow-up. Patient, disease-specific, and surgical factors can be used to guide postoperative prognosis following primary TSA for improved preoperative patient counseling regarding expected outcomes of these procedures.

Indexed as

Arthroplasty, Replacement, ShoulderOsteoarthritisPatient Reported Outcome MeasuresAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRotator Cuff Tear ArthropathyShoulder Jointbeta regression modelcuff tear arthropathyglenohumeral osteoarthritismultivariable modeloutcomespatient-reported outcome measuresShoulder arthroplasty

Identifiers

PMID38430979
PMCPMC11542172
OpenAlexW4392303140

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.