SynthesisInternational journal of cancer2026
Sensitive Period Analysis of Adulthood BMI and Cancer Risk: An Individual Participant Data Meta-Analysis of Over 720,000 Participants in the ABACus 2 Consortium.
Synthesis in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sensitive Period Analysis of Adulthood BMI and Cancer Risk: An Individual Participant Data Meta-Analysis of Over 720,000 Participants in the ABACus 2 Consortium.International journal of cancer · 2026Pooled it
- Comments on "Sensitive Period Analysis of Adulthood BMI and Cancer Risk: An Individual Participant Data Meta-Analysis of Over 720,000 Participants in the ABACus 2 Consortium".International journal of cancer · 2026Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
At least 13 cancers are linked to obesity. We analyse time-to-event data using Sensitive Period Analysis to explore whether associations between body mass index (BMI) and cancer incidence vary throughout adulthood to inform cancer prevention strategies, policy and weight management trials of optimal intervention ages. Using the European Prospective Investigation into Cancer and Nutrition cohort, Atherosclerosis Risk in Communities study, Women's Health Initiative, Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial, NIH-AARP Diet and Health, we predicted BMI throughout adulthood. We landmarked to predefined ages of interest (AOI), ages 30 to 65 (5-yearly). Super-landmarking and a two-stage IPD meta-analysis were used. A single stratified Cox proportional hazards model with interaction terms between BMI and AOIs was fitted to analyse associations between per 5 kg/m
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