Evidence map›Paper›PMID 42131000›Full record

ArticleJournal of orthopaedic case reports2026

Establishing Minimal Clinically Important Difference and Patient Acceptable Symptom State Thresholds for Patient-Reported Outcome Measures in Acromioclavicular Joint Arthropathy: A Prospective Cohort Study.

Sumit Kaushik, Rishab Kafley, Sambhrant Mohanty, Abhay Tyagi, Rahul Adwani, Piyush Sharma

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Article in Journal of orthopaedic case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sumit KaushikDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Rishab KafleyDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Sambhrant MohantyDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Abhay TyagiDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Rahul AdwaniDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Piyush SharmaDepartment of Orthopaedics, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Minimal clinically important difference (MCID) and patient acceptable symptom state (PASS) are essential for interpreting patient-reported outcome measures (PROMs). However, disease-specific thresholds for acromioclavicular (AC) joint arthropathy are not well established, limiting meaningful interpretation of patient-reported outcomes. Materials and Methods: This prospective observational cohort study included adults with symptomatic AC joint arthropathy managed either conservatively or surgically. PROMs - including the Constant-Murley score, American Shoulder and Elbow Surgeons score, University of California Los Angeles score, Quick Disabilities of the Arm, Shoulder and Hand, Western Ontario Rotator Cuff (WORC) index, and visual analogue scale for pain - were collected at baseline and 12 months. MCID, substantial clinical benefit (SCB), and maximum outcome improvement (MOI) were determined using anchor-based methods with a global rating of change scale and receiver operating characteristic analysis, supported by distribution-based estimates. PASS thresholds were derived using a patient satisfaction anchor. Thresholds were calculated separately within surgical and conservative treatment contexts in accordance with Consensus-based Standards for the Selection of Health Measurement Instruments recommendations. Results: A total of 170 patients (100 conservative, 70 surgical) completed a 12-month follow-up. All PROMs demonstrated excellent reliability (intraclass correlation coefficient range, 0.85-0.96) and strong anchor validity (Spearman r, 0.51-0.62; P < 0.001). Anchor-based MCID values differed across PROMs and treatment contexts but consistently exceeded measurement error. The WORC index demonstrated the highest responsiveness (area under the curve, 0.84; standardised response mean, 0.85). PASS thresholds reflected acceptable symptom states across PROMs, and approximately 92% of patients achieving MCID also met PASS criteria. Thresholds were derived independently within each treatment context and were not intended for comparative assessment of treatment effectiveness. Conclusion: This study establishes disease-specific MCID, SCB, MOI, and PASS thresholds for commonly used shoulder PROMs in AC joint arthropathy. These benchmarks enhance the interpretability of patient-reported outcomes, support standardised reporting in clinical research, and should be applied as measurement tools rather than indicators of comparative treatment efficacy.

Indexed as

Acromioclavicular joint arthropathyminimal clinically important differencepatient acceptable symptom statepatient-reported outcome measuresshoulder outcome scores

Identifiers

PMID42131000
PMCPMC13162028

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