Evidence map›Paper›PMID 32860879›Full record

ArticleJournal of shoulder and elbow surgery2021

Associations of preoperative patient mental health status and sociodemographic and clinical characteristics with baseline pain, function, and satisfaction in patients undergoing primary shoulder arthroplasty.

Sambit Sahoo, Kathleen A Derwin, Alexander Zajichek, Cleveland Clinic Shoulder Group, Vahid Entezari, Peter B Imrey, Joseph P Iannotti, Eric T Ricchetti

Open access · greenAbstract read
In one paragraph

Article in Journal of shoulder and elbow surgery, 2021. 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
1.0field-weighted citation impact, top 23% 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, 10 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

8 authors at 2 institutions in 1 country.

Sambit SahooDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Kathleen A DerwinDepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Alexander ZajichekDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic Shoulder Group
Vahid EntezariDepartment of Orthopaedic Surgery, Orthopedic and Rheumatologic Institute, Cleveland Clinic, Cleveland, OH, USA.
Peter B ImreyDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Joseph P IannottiDepartment of Orthopaedic Surgery, Orthopedic and Rheumatologic Institute, Cleveland Clinic, Cleveland, OH, USA.
Eric T RicchettiDepartment of Orthopaedic Surgery, Orthopedic and Rheumatologic Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address: ricchee@ccf.org.
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · 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

HYPOTHESIS AND

backgroundShoulder pain and dysfunction are common indications for shoulder arthroplasty, yet the factors that are associated with these symptoms are not fully understood. This study aimed to investigate the associations of patient and disease-specific factors with preoperative patient-reported outcome measures (PROMs) in patients undergoing primary shoulder arthroplasty. We hypothesized that worse mental health status assessed by the Veterans RAND 12-Item Health Survey (VR-12) mental component score (MCS), glenoid bone loss, and increasing rotator cuff tear severity would be associated with lower values for the preoperative total Penn Shoulder Score (PSS) and its pain, function, and satisfaction subscores.

methodsWe prospectively identified 12 patient factors and 4 disease-specific factors as possible statistical predictors of preoperative PROMs in patients undergoing primary shoulder arthroplasty at a single institution over a 3-year period. Multivariable statistical modeling and Akaike information criterion comparisons were used to investigate the unique associations with, and relative importance of, these factors in accounting for variation in the preoperative PSS and its subscores.

resultsA total of 788 cases performed by 12 surgeons met the inclusion criteria, with a preoperative median total PSS of 31 points (pain, 10 points; function, 18 points; and satisfaction, 1 point). As hypothesized, a lower VR-12 MCS was associated with lower preoperative PSS pain, function, and total scores, but patients with intact status or small to medium rotator cuff tears had modestly lower PSS pain subscores (ie, more pain) than patients with large to massive superior-posterior rotator cuff tears. Glenoid bone loss was not associated with the preoperative PSS. Female sex and fewer years of education (for all 4 outcomes), lower VR-12 MCS and preoperative opioid use (for all outcomes but satisfaction), and rotator cuff tear severity (for pain only) were the factors most prominently associated with preoperative PROMs.

conclusionIn addition to mental health status and rotator cuff tear status, patient sex, years of education, and preoperative opioid use were most prominently associated with preoperative PROMs in patients undergoing shoulder arthroplasty. Further studies are needed to investigate whether these factors will also predict postoperative PROMs.

Indexed as

Arthroplasty, Replacement, ShoulderRotator Cuff InjuriesShoulder JointFemaleHealth StatusHumansPatient SatisfactionPersonal SatisfactionShoulder PainTreatment Outcomefunctionmultivariable modelpainPenn Shoulder Scorepreoperative factorsPROMssatisfactionShoulder arthroplasty

Identifiers

PMID32860879
PMCPMC7907259
OpenAlexW3080592944

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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.