Trial reportJournal of patient-reported outcomes2026
The latent difference score model is a viable alternative to arithmetic difference score-based anchor-driven minimal important change calculation.
Trial report in Journal of patient-reported outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Letter to the Editor: Analytic approaches for prognostic studies of persistent pain following knee arthroplasty.Acta orthopaedica · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundTraditional MIC estimates contain measurement error from PROMs. The LDSM offers a viable alternative to estimate MIC controlling for measurement error. We also propose a conceptual framework for considering the multiple steps necessary to calculate anchor-based MICs. METHODOLOGY: Data from KASTPain, a no-effect multi-center randomized clinical trial of 364 participants with knee osteoarthritis and who underwent knee arthroplasty, were used to illustrate the LDSM to estimate MIC. Based on a structural equation modeling framework, we used LDSMs to estimate MICs of three commonly used patient-reported outcomes of pain and functional status.
resultsWe reported nine MIC estimates, three PROMs crossed with three post-intervention measurement occasions, from the LDSM. Results from the receiver operating curve analysis indicated that the area under curve was high (median: 0.88 range: 0.77-0.90) for all analyses.
conclusionsLatent variable modeling of PROM change excludes PROM measurement error and may offer advantages over more traditional forms of MIC estimation.
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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.