Evidence map›Paper›PMID 37277888›Full record

ArticleEndocrinology, diabetes & metabolism2023

Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey.

Maci Winn, Prasoona Karra, Heinz Freisling, Marc J Gunter, Benjamin Haaland, Michelle L Litchman, Jennifer A Doherty, Mary C Playdon, Sheetal Hardikar

Registry-linked trialAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07262593 (Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT07262593 naterminatednot on this mapstarted 2024, after this paper: background citation

Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders: FAMTIME

TypeinterventionalSponsorUniversity of UtahRan2024 to 2024Enrolled2ConditionsCancer PreventionArmsTime Restricted Eating (TRE), Medically Tailored Meals (MTM)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  4. Review
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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.

Maci WinnDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Prasoona KarraHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Heinz FreislingNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Benjamin HaalandHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Michelle L LitchmanUniversity of Utah College of Nursing, Salt Lake City, Utah, USA.
Jennifer A DohertyDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.
Mary C PlaydonHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Sheetal HardikarDepartment of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-0292-6168

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Interdisciplinary Training Program in MetabolismT32DK091317 · NIDDK · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI SCOTT A SUMMERS · 2011 to 2026
$4.8M
Ceramides as novel drivers of metabolic dysfunction and colorectal cancerU01CA272529 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Mary Christine Playdon, SCOTT A SUMMERS · 2022 to 2026
$4.7M
Diabetes, Medications and the Cost-Effectiveness of Screening for Colorectal NeoplasiaK07CA222060 · NCI · UNIVERSITY OF UTAH · PI HARDIKAR, SHEETAL · 2018 to 2022
$791k
Blood metabolite profiles and risk of developing endometrial cancerR00CA218694 · NCI · UNIVERSITY OF UTAH · PI PLAYDON, MARY CHRISTINE · 2018 to 2020
$747k
Metabolic Obesity Phenotypes and Obesity-related Cancer SurvivalF30CA278348 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Maci Winn · 2023 to 2026
$131k
NCI NIH HHS F30 CA278348NCI NIH HHS K07 CA222060NCI NIH HHS P30 CA042014NCI NIH HHS R00 CA218694NCI NIH HHS U01 CA272529NIDDK NIH HHS T32 DK091317World Health Organization 001
6 · The paper itself

Abstract

introductionBody mass index (BMI) fails to identify up to one-third of normal weight individuals with metabolic dysfunction who may be at increased risk of obesity-related cancer (ORC). Metabolic obesity phenotypes, an alternate metric to assess metabolic dysfunction with or without obesity, were evaluated for association with ORC risk.

methodsNational Health and Nutrition Examination Survey participants from 1999 to 2018 (N = 19,500) were categorized into phenotypes according to the metabolic syndrome (MetS) criteria and BMI: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obese (MHO) and metabolically unhealthy overweight/obese (MUO). Adjusted multivariable logistic regression models were used to evaluate associations with ORC.

resultsWith metabolic dysfunction defined as ≥1 MetS criteria, ORC cases (n = 528) had higher proportions of MUNW (28.2% vs. 17.4%) and MUO (62.6% vs. 60.9%) phenotypes than cancer-free individuals (n = 18,972). Compared with MHNW participants, MUNW participants had a 2.2-times higher ORC risk [OR (95%CI) = 2.21 (1.27-3.85)]. MHO and MUO participants demonstrated a 43% and 56% increased ORC risk, respectively, compared to MHNW, but these did not reach statistical significance [OR (95% CI) = 1.43 (0.46-4.42), 1.56 (0.91-2.67), respectively]. Hyperglycaemia, hypertension and central obesity were all independently associated with higher ORC risk compared to MHNW.

conclusionsMUNW participants have a higher risk of ORC than other abnormal phenotypes, compared with MHNW participants. Incorporating metabolic health measures in addition to assessing BMI may improve ORC risk stratification. Further research on the relationship between metabolic dysfunction and ORC is warranted.

Indexed as

Metabolic SyndromeNeoplasmsHumansNutrition SurveysObesityOverweightPhenotypecancer riskepidemiologymetabolic obesity phenotypesmetabolic syndromeobesity-related cancer

Identifiers

PMID37277888
PMCPMC10335619

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