Evidence map›Paper›PMID 37555836›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Association of Obesity and Type 2 Diabetes with Non-Hodgkin Lymphoma: The Multiethnic Cohort.

Gertraud Maskarinec, Sayaka M Brown, Jordyn Lee, David Bogumil, Catherine Walsh, Christopher A Haiman, Veronica Wendy Setiawan, Yurii B Shvetsov, Loïc Le Marchand

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Gertraud MaskarinecUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0002-8129-958X
Sayaka M BrownUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0002-1961-9773
Jordyn LeeUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0003-0996-3869
David BogumilUniversity of Southern California, Los Angeles, California.ORCID 0000-0002-5001-1088
Catherine WalshUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0002-8905-4544
Christopher A HaimanUniversity of Southern California, Los Angeles, California.ORCID 0000-0002-0097-9971
Veronica Wendy SetiawanUniversity of Southern California, Los Angeles, California.ORCID 0000-0001-9239-5692
Yurii B ShvetsovUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0001-5131-9618
Loïc Le MarchandUniversity of Hawaii Cancer Center, Honolulu, Hawaii.ORCID 0000-0001-5013-980X
Cancer Center of Hawaii · USUniversity of Southern California · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Multidisciplinary Training in Ethnic Diversity and Cancer DisparitiesT32CA229110 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2019 to 2023
$2.1M
Cancer Research Education, Advancement, Training and Empowerment (CREATE) in the PacificR25CA244073 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Joseph Keawe'aimoku Kaholokula, LENORA WM LOO · 2020 to 2026
$1.9M
NCI NIH HHS P30 CA071789NCI NIH HHS R25 CA244073NCI NIH HHS T32 CA229110NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

backgroundGiven the role of the immune system in non-Hodgkin lymphoma (NHL) etiology, obesity and type 2 diabetes (T2D) may impact NHL development. We examined the association of body mass index (BMI) and T2D with NHL in the multiethnic cohort (MEC).

methodsThe MEC recruited >215,000 participants in Hawaii and Los Angeles from five racial/ethnic groups; NHL cases were identified through cancer registry linkages. T2D status, and BMI at age 21 and cohort entry were derived from repeated self-reports; for T2D, Medicare claims were also applied. HRs and 95% confidence intervals (CI) for BMI and T2D as predictors of NHL were determined using Cox regression adjusted for relevant covariates.

resultsAmong 192,424 participants, 3,472 (1.8%) with NHL and 68,850 (36%) with T2D after 19.2 ± 6.6 years follow-up, no significant association between T2D and NHL (HR, 1.04; 95% CI, 0.96-1.13) was observed. Stratification by BMI at cohort entry showed a significant association of T2D with NHL among individuals with normal weight only (HR, 1.18; 95% CI, 1.03-1.37). In a model with both BMI values plus T2D, only overweight (HR, 1.13; 95% CI, 1.01-1.26) and obesity (HR, 1.25; 95% CI, 0.99-1.59) at age 21 were associated with NHL incidence. Stratification by sex, race/ethnicity, and NHL subtype indicated no differences.

conclusionsOur findings suggest an association between T2D and NHL incidence in several subgroups but not in the total population and an elevated risk related to early-life BMI. IMPACT: Excess body weight in early life, rather than T2D, may be a predictor of NHL incidence.

Indexed as

Diabetes Mellitus, Type 2Lymphoma, Non-HodgkinAdultAgedBody Mass IndexCohort StudiesHumansMedicareObesityProportional Hazards ModelsRisk FactorsSurveys and QuestionnairesUnited StatesWeight GainYoung Adult

Identifiers

PMID37555836
PMCPMC10592150
OpenAlexW4385684743

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.