Measuring Patient-Relevant Benefit alongside Graft Integrity after Capsular Reconstruction
Keywords:
patient benefit, graft integrity, shoulder outcomes, superior capsular reconstruction, multidomain measurementAbstract
Graft integrity and patient benefit are related research outcomes, but neither can be inferred completely from the other. This conceptual synthesis develops a paired measurement framework for superior capsular reconstruction. A review of graft biological properties motivates connecting structural observations with pain, disability, activity, and subsequent treatment. The framework preserves each outcome's construct, timing, ascertainment, and uncertainty before examining their relationship. It distinguishes measurement agreement from prognostic association and treatment benefit, and it considers repeated observation, competing events, and multiple comparisons. No patient scores, imaging classifications, or treatment effects are newly analyzed. The contribution is a design for reporting both concordant and discordant outcomes without allowing a favorable structural or questionnaire result to stand in for an overall clinical verdict.
References
- Cao, Mingde, et al. "Superior capsule reconstruction graft selection: The influence of biological properties of grafts on healing and re-tearing." Bioengineering 12.9 (2025): 942.
- Mihata, Teruhisa, et al. "Clinical Results of Arthroscopic Superior Capsule Reconstruction for Irreparable Rotator Cuff Tears." Arthroscopy, vol. 29, no. 3, 2013, pp. 459-470. https://doi.org/10.1016/j.arthro.2012.10.022.
- Roach, Kathryn E., et al. "Development of a Shoulder Pain and Disability Index." Arthritis & Rheumatism, vol. 4, no. 4, 1991, pp. 143-149. https://doi.org/10.1002/art.1790040403.
- Bland, J. Martin, and Douglas G. Altman. "Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement." The Lancet, vol. 327, no. 8476, 1986, pp. 307-310. https://doi.org/10.1016/S0140-6736(86)90837-8.
- Koo, Terry K., and Mae Y. Li. "A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research." Journal of Chiropractic Medicine, vol. 15, no. 2, 2016, pp. 155-163. https://doi.org/10.1016/j.jcm.2016.02.012.
- Laird, Nan M. and James H. Ware. “Random-Effects Models for Longitudinal Data.” Biometrics, vol. 38, no. 4, 1982, pp. 963. https://doi.org/10.2307/2529876.
- Fine, Jason P., and Robert J. Gray. "A Proportional Hazards Model for the Subdistribution of a Competing Risk." Journal of the American Statistical Association, vol. 94, no. 446, 1999, pp. 496-509. https://doi.org/10.1080/01621459.1999.10474144.
- Benjamini, Yoav and Yosef Hochberg. “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.” Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 57, no. 1, 1995, pp. 289-300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x.
- Guyatt, Gordon H, et al. "GRADE: an emerging consensus on rating quality of evidence and strength of recommendations." BMJ, vol. 336, no. 7650, 2008, pp. 924-926. https://doi.org/10.1136/bmj.39489.470347.ad.
- von Elm, Erik, et al. "The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies." PLoS Medicine, vol. 4, no. 10, 2007, pp. e296. https://doi.org/10.1371/journal.pmed.0040296.
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