ArticleBMC geriatrics2026
Association of multimorbidity with mortality risk in Chinese senior adults: a population-based cohort study.
Article in BMC geriatrics, 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
12 authors.
Funding
Abstract
backgroundThis study aimed to evaluate the association of three multimorbidity indicators with mortality risk among senior adults, and compare their predictive performance on mortality risk.
methodsThis prospective cohort study was conducted using data from the Yuexiu Ageing and Health Cohort, a dynamic cohort established since January 2016. Annual health examination is conducted for the senior adults aged ≥ 65 years in the jurisdiction. Following exclusions for insufficient follow-up (< 6 months) and missing data, 162,958 participants were included. Mortality data up to 31 December 2023 were obtained from the National Death Registry of China. Information on eleven system diseases was extracted; three multimorbidity indicators (condition count, multimorbidity patterns, and multimorbidity index) were created. Hazard ratio (HR) with 95% confidence intervals (CI) was calculated using Cox proportional hazard model after adjustment for confounders. The C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were used to compare the performance of multimorbidity indicators.
resultsFifteen thousand five hundred twenty-five deaths were identified during a median of 4.79 years of follow-up. Compared with participants with no multimorbidity, those with multimorbidity had a 1.56-fold risk of all-cause mortality. Every one condition count increment was associated with a 17% increased risk of all-cause mortality. Three multimorbidity patterns labeled as Patterns I, II, and III were extracted and were significantly associated with the increased mortality risk, with HR being 1.97, 1.41, and 1.44 for Patterns I, II, and III respectively. Every 1-unit increment of multimorbidity index was associated with an 18% increased mortality risk. The multimorbidity index demonstrated a slightly better discriminative ability compared to the condition count (IDI: 0.003, NRI: 0.0046) and multimorbidity pattern (IDI: 0.007, NRI: 0.0055).
conclusionsThree multimorbidity indicators were all associated with the increased mortality risk in community-dwelling older Chinese. The multimorbidity index is considered an optimal indicator for predicting mortality risk in community-dwelling older adults. The condition count is also suggested due to its simplicity and superior predictive performance.
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.