ArticleFrontiers in public health2026
Heterogeneity in postoperative intrinsic capacity trajectories in older adults with hip fractures: a prospective longitudinal study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the group heterogeneity in postoperative intrinsic capacity (IC) recovery trajectories among older hip fracture (HF) patients and identify key independently associated factors. Methods: We conducted a prospective longitudinal study of 184 older patients following HF surgery at two tertiary hospitals. IC was assessed at 48 h, pre-discharge, 1 month, and 3 months post-surgery. A multi-state Markov model (MSM) was used to quantify transition intensity and probability between IC states, a latent class growth model (LCGM) was employed to identify heterogeneous trajectories of total IC scores, and predictors of trajectory categories were analyzed via multinomial logistic regression. Results: MSM revealed that patients in the "severe IC impairment" state had a 96.3% probability of remaining in that state throughout the 3-month follow-up. LCGM further identified three distinct recovery trajectories: the Higher-Level Growth Group (21.2%), the Medium-Level Improvement Group (36.9%), and the Lower-Level Stability Group (41.8%). Multivariate analysis indicated that age 60-69 years was significantly associated with increased odds of belonging to the Medium-Level Improvement Group (OR = 18.12, 95% CI: 4.22-77.86) and the Higher-Level Growth Group (OR = 3.33, 95% CI: 1.10-10.09) compared to the Lower-Level Stability Group. Normal plasma albumin was significantly associated with increased odds of belonging to the Medium-Level Improvement Group (OR = 7.07, 95% CI: 1.30-38.51). Conclusion: From a public health perspective, the identification of three distinct recovery trajectories provides an evidence-based framework for population-level risk stratification. The large subgroup (41.8%) with persistent severe impairment represents a high-risk population that may require targeted resource allocation for post-acute and long-term care. These findings support the development of tiered rehabilitation strategies at the health system level, aligning with the goals of healthy aging.
Indexed as
Identifiers
What Socratic 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 Socratic graph.