ArticlePloS one2026
Global burden and temporal trend of thyroid cancer associated with high BMI from 1990 to 2021.
Article in PloS one, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global incidence of thyroid cancer (TC) has risen markedly, ranking as the tenth most common malignancy in 2020. Simultaneously, obesity now affects over one billion individuals worldwide, with its prevalence more than doubling since 1990. Emerging evidence suggests a significant association between high body mass index (BMI) and elevated TC risk, potentially mediated by mechanisms such as chronic inflammation and insulin resistance. This study aims to evaluate the global burden of thyroid cancer attributable to high BMI (TC-HBMI) from 1990 to 2021, examine temporal trends, and project future burden through 2036. We utilized data from the Global Burden of Disease Study 2021 to assess deaths, disability-adjusted life years (DALYs), and age-standardized rates (ASRs). Temporal trends were examined using estimated annual percentage change (EAPC), joinpoint regression, and decomposition analysis. Inequality and future burden assessments were conducted through slope and concentration indices, frontier analysis, and Bayesian age-period-cohort modeling.
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.