ArticleJSES international2026
Optimal screening for prediction of referral and outcome score is a strong predictor of shoulder pain and function in glenohumeral osteoarthritis and rotator cuff arthropathy.
Article in JSES international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mental health has been shown to be a risk factor for having significant impacts on pain and function in patients with shoulder pathology. The aims of this study are to (1) evaluate the overall impact of psychological distress on pain perception and shoulder function in patients with glenohumeral osteoarthritis (GHOA) and rotator cuff arthropathy (RCA) and (2) determine whether there is a difference in pain, function, or psychological distress between patients with differing severity of GHOA vs. RCA. Methods: A retrospective review of patients diagnosed with GHOA or RCA who completed the Optimal Screening for Prediction of Referral and Outcome-Yellow Flag (OSPRO-YF) score between September 2022 and January 2025 was performed. The OSPRO-YF score was categorized by negative mood, negative coping, and positive coping domains. Demographic, diagnosis, Walch glenoid type, Hamada grade of RCA, and 3 preoperative patient-reported outcomes (PROs) scores: Single Assessment Numeric Evaluation (SANE), visual analog scale (VAS), and American Shoulder and Elbow Surgeons (ASES) scores were obtained. A Student's T-test and analysis of variance was used to analyze the cohorts and a linear regression analysis was used to evaluate the association between the OSPRO-YF and PRO scores while adjusting for the diagnosis and severity of GHOA and RCA. Results: There were 62 patients with GHOA and 30 patients with RCA. There was a significant difference in ASES scores in patients with differing glenoid erosions. However, there were no significant differences in age, body mass index, smoking, VAS, SANE, or OSPRO-YF scores between cohorts, type of glenoid erosion, or severity of RCA. Psychological distress, measured via the OSPRO-YF tool, revealed notable associations with PRO scores. Total OSPRO-YF scores demonstrated a significant association across all PRO scores including VAS ( Conclusion: These findings suggest preoperative psychological distress and maladaptive coping mechanisms have a significant influence on patient's shoulder pain and function. Negative coping behaviors are associated with worse pain and function in patients with either GHOA or RCA. Thus, the OSPRO-YF score may be utilized to predict patients with lower functional scores and support the importance of routine preoperative psychological evaluation, which may impact a patient's overall postoperative care and recovery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.