ArticleGeroScience2026
Combined effects of vitamin D and cumulative dietary risk score on fatty liver and mortality in vulnerable individuals: a prospective analysis from the UK Biobank.
Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Association of frailty and metabolism with multi-state model in fatty liver disease, diabetes mellitus and all-cause mortality.Diabetology & metabolic syndrome · 2026Article
- Frailty for cardiovascular risk stratification in CKM syndrome stages 0-3: a UK Biobank prospective cohort study.Frontiers in cardiovascular medicine · 2026Article
- Dynamic interplay of atherogenic index and body roundness in cardio-renal-metabolic disease: a multi-state analysis.BMC public health · 2025Article
- Medical management of musculoskeletal pain in professional wheelchair basketball players: an evidence-based guide.Pain management · 2025Review
- The interplay between childhood obesity and vitamin D deficiency: mechanisms and implications.Frontiers in pediatrics · 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
7 authors.
Funding
Abstract
Frailty is a global public health issue associated with multiple adverse outcomes in later years, however, studies have shown exercise, diet, and vitamin D supplements can help reverse frailty. There is a lack of further risk stratification and evidence for secondary interventions in populations that have undergone primary prevention. This was a prospective cohort study involving 53106 physically active vulnerable individuals from the UK Biobank. We combined vitamin D with cumulative dietary risk scores to evaluate its predictive value. Correlation and predictive power were assessed using restricted cubic spline (RCS) analysis, corrected Cox models, stratified analysis, Kaplan-Meier analysis, and Harrell's c-index. During 12.7 years of follow-up, there were 870, 1317 new-onset metabolic dysfunction-associated fatty liver disease (MAFLD) and mortality. RCS analysis revealed a J-shaped negative or positive correlation in vitamin D and dietary risk score respectively. The hazard ratios (95% confidence interval) for MAFLD and mortality in the vitamin D deficiency and high dietary risk groups were 1.80 (1.45-2.24) and 1.99 (1.67-2.38), compared to those with no vitamin D deficiency and low dietary risk. Kaplan-Meier analysis suggested vulnerable individuals with vitamin D deficiency and a poor diet were at a higher risk of disease in the future. Further, separate analyses of vitamin D and dietary risk scores did not demonstrate better efficacy. The combination of vitamin D and dietary risk score offers a more effective method for assessing disease risk in vulnerable populations. This provides evidence for secondary guidance following exercise interventions, which is significant for older population.
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.