Observational studyThe journals of gerontology. Series A, Biological sciences and medical sciences2025
Multivariate Profiling of Physical Resilience in Older Adults After Total Knee Replacement Surgery: Results From a Prospective Observational Study.
Observational study in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Baseline Plasma Growth-differentiation Factor 15 and Recovery of Physical Function Following Total Knee Replacement in the Study of Physical Resilience and Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Clinical predictors of resilience following total knee arthroplasty: the PRIME-KNEE study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Cross-talk between aging resilience pathways and autoimmunity onset.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundAs individuals age, their ability to cope with and recover from health challenges becomes vital for maintaining independence and quality of life. This study aims to develop a multivariate phenotype of physical resilience based on individual recovery dynamics before and after a physical stressor.
methodsThis prospective observational study included 104 individuals aged ≥60 who underwent elective total knee replacement (TKR) for degenerative joint disease between December 2, 2019 and January 4, 2023. A multivariate resilience phenotype was derived from physical function assessments over 12 months after TKR using the Short Physical Performance Battery, the Pittsburgh Fatigability Scale Physical Subscale, the Knee Injury and Osteoarthritis Outcome Quality of Life Score, and the 36-Item Short Form Health Survey Physical Component Score. Validation was performed using markers (ie, frailty and self-reported health) and determinants (eg, the Charlson Comorbidity Index (CCI)) of recovery potential.
resultsDistinct resilience profiles were identified across the 4 measures, showing varied baseline levels and/or change rates over 12 months. By combining and analyzing resilience profiles across measures, 2 distinct groups emerged: 33.7% were classified as nonresilient and 66.4% as resilient. The nonresilient group had a higher prevalence of frailty (37.1% vs 10.1%, p < .01), poor or fair self-reported health (48.6% vs 5.8%, p < .01), and moderate or severe comorbidity burden (CCI > 2; 28.6% vs 10.1%, p = .03).
conclusionsRecovery trajectories after TKR revealed varying resilience levels that could not be fully explained by baseline health status. Understanding individual resilience can enhance patient care by promoting recovery and overall well-being.
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.