Evidence map›Paper›PMID 41031713›Full record

ArticleAmerican journal of epidemiology2026

Pre-diagnostic body mass index trajectories and associations with lung cancer risk.

Wen Zhou, Lorelei A Mucci, Mingyang Song, Hongbing Shen, Christopher I Amos

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wen ZhouDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P.R. China.ORCID 0000-0001-6872-2761
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-2551-4927
Mingyang SongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-1324-0316
Hongbing ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, P.R. China.ORCID 0000-0002-2581-5906
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0002-8540-7023

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Rayjean J. Hung · 2017 to 2026
$23.7M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Prevention Research Institute of Texas (CPRIT) RR170048National Institutes of Health at the National Cancer Institute U19CA203654NCI NIH HHS P01 CA087969NCI NIH HHS U01 CA167552NCI NIH HHS U19 CA203654NCI NIH HHS UM1 CA186107NIH HHS P01 CA87969NIH HHS U01 CA167552NIH HHS UM1 CA186107
6 · The paper itself

Abstract

Mendelian randomization can reveal the etiological association between body mass index (BMI) and lung cancer. However, the associations between the trajectories of BMI and the risk of lung cancer remain inconclusive. We employed growth mixture modeling to identify trajectories of pre-diagnostic BMI in 163 545 individuals (117 445 women from the Nurses' Health Study and 46 100 men from the Health Professionals Follow-Up Study). We assessed the associations between BMI trajectories and lung cancer risk, as well as the effects within subgroups. Four trajectories were identified: normal-moderate increasing (class 1), overweight-marked increasing (class 2), overweight-obese turning (class 3), and obese-persistent (class 4). We observed a decreased risk of lung cancer in class 2 (adjusted hazard ratio [aHR], 0.53; 95% CI, 0.38-0.75; P = 2.32 ×10-4) and class 3 (aHR, 0.67; 95% CI, 0.48-0.94; P = .022). In stratification analysis, we observed that the effects of class 4 on lung cancer risk vary among histological subtypes. Additionally, within the class 1 population, the top quintile of BMI also demonstrated different effects among histological subtypes. Increasing lifetime BMI was associated with a decreased risk of lung cancer, with this association varying by histological subtypes, indicating histology-specific mechanisms in lung carcinogenesis.

Indexed as

Body Mass IndexLung NeoplasmsObesityAdultAgedFemaleHumansMaleMiddle AgedOverweightRisk Factorsbody mass indexgrowth mixture modelinglung cancertrajectory

Identifiers

PMID41031713
PMCPMC13368609

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.