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Record W2971494031 · doi:10.1016/j.arthro.2019.03.043

The Effect of Psychosocial Factors on Outcomes in Patients With Rotator Cuff Tears: A Systematic Review

2019· review· en· W2971494031 on OpenAlexaboutno aff
Patrick Kennedy, Rajat Joshi, Aman Dhawan

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
FundersNational Institutes of HealthPennsylvania State UniversityU.S. Department of Defense
KeywordsPsychosocialRotator cuffInclusion and exclusion criteriaDistressMedicineAnxietyClinical psychologyPsycINFOPhysical therapyHospital Anxiety and Depression ScaleMEDLINEPsychiatrySurgeryPathologyAlternative medicine

Abstract

fetched live from OpenAlex

PURPOSE: To determine whether psychosocial factors affect patient-reported outcomes in individuals with rotator cuff tears or after rotator cuff repair. METHODS: A systematic review was conducted using a computerized search of the PubMed and Web of Science electronic databases in adherence with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. Articles were then evaluated based on inclusion and exclusion criteria. The Newcastle-Ottawa Scale was used to assess study quality and risk of bias. Because of study heterogeneity and varied levels of evidence, meta-analysis was not possible. RESULTS: Of 980 identified articles, 15 met the inclusion and exclusion criteria. In those reported, the visual analog scale correlation with distress scales ranged from -0.476 to 0.334, depending on outcome, with a trend toward increased pain in patients with distress. The depression subscale of the Hospital Anxiety and Depression Scale was negatively correlated with the American Shoulder and Elbow Surgeons score in 2 of 3 studies (-0.309 to 0.235). Six studies evaluated the presence of psychosocial factors and their correlation with patient-reported outcomes prior to surgery. These showed a significant correlation between rotator cuff pathology and psychological distress (i.e., depression or anxiety) as identified on standardized patient-reported outcome measures. Nine studies evaluated psychosocial factors either before and after surgery or only postoperatively. Of these 9 studies, 3 found no statistically significant differences in outcomes as related to psychosocial factors. In contrast, 6 of 9 reported an association between outcomes and psychosocial factors. Moreover, 2 of these 6 studies reported a direct relationship between patient expectations and outcomes, with 1 of these 2 studies finding that higher expectations improved baseline scores on the mental component summary of the Short Form 36 (r = 0.307). One study found significant differences in mental status in patients with rotator cuff tears based on age and sex. CONCLUSIONS: This review found that most studies support that psychosocial factors do significantly influence the level of disability and pain experienced by patients preoperatively; however, 3 of 9 studies showed significant improvements in postoperative pain and function even with significant psychosocial confounders. These studies, however, do support that there is a direct relation between patient expectations and outcomes in rotator cuff surgery. LEVEL OF EVIDENCE: Level IV, systematic review of Level I through IV studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.012
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.325
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations65
Published2019
Admission routes1
Has abstractyes

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