Evidence map›Paper›PMID 41374929›Full record

ArticleCancers2025

Inverse Association Between METS-IR and Lung Cancer Risk: The Role of BMI in a Nationwide Korean Cohort.

Bo-Kyung Shine, In Hwa Jeong, Minkook Son, Bongjo Kim, Sang Yi Moon, Jong Yoon Lee, Hye Ryeon Kim, Seok Jae Huh

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Bo-Kyung ShineDepartment of Family Medicine, Dong-A University College of Medicine, Dong-A University Hospital, Busan 49201, Republic of Korea.
In Hwa JeongDepartment of Laboratory Medicine, Dong-A University College of Medicine, Dong-A University Hospital, Busan 49315, Republic of Korea.ORCID 0000-0001-8383-8228
Minkook SonDepartment of Physiology, College of Medicine, Dong-A University, Busan 49315, Republic of Korea.
Bongjo KimDepartment of Physiology, College of Medicine, Dong-A University, Busan 49315, Republic of Korea.
Sang Yi MoonInterdisciplinary Program, Department of Data Sciences Convergence, Dong-A University, Busan 49315, Republic of Korea.ORCID 0000-0002-8929-9250
Jong Yoon LeeDivision of Gastroenterology, Department of Internal Medicine, Dong-A University College of Medicine, Busan 49315, Republic of Korea.
Hye Ryeon KimDivision of Hematology and Oncology, Department of Internal Medicine, Dong-A University College of Medicine Busan 49315, Republic of Korea.ORCID 0000-0002-5566-378X
Seok Jae HuhDivision of Hematology and Oncology, Department of Internal Medicine, Dong-A University College of Medicine Busan 49315, Republic of Korea.ORCID 0009-0008-8548-5153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough insulin resistance has been implicated in cancer development, its specific role in lung cancer remains unclear. The metabolic score for insulin resistance (METS-IR) is a novel surrogate marker that integrates multiple metabolic parameters and has demonstrated strong predictive value for metabolic disorders. This study aimed to investigate the association between METS-IR and lung cancer incidence in a large-scale nationwide cohort.

methodsWe analyzed data from 322,624 participants of the National Health Insurance Service-National Health Screening Cohort in Republic of Korea. Participants were stratified into METS-IR quartiles, and lung cancer incidence was assessed using Kaplan-Meier survival curves and Cox proportional hazards regression models. Subgroup analyses were conducted to examine the impact of body composition, particularly sarcopenia, on the association between METS-IR and lung cancer.

resultsOver a median follow-up of 9.5 years, 5912 lung cancer cases were identified. Lung cancer incidence per 1000 person-years was highest in the lowest METS-IR quartile (Q1: 2.27) and decreased across quartiles (Q2: 1.93, Q3: 1.81, Q4: 1.72). In fully adjusted Cox regression models, using Q1 as the reference group, higher METS-IR quartiles were associated with a significantly lower risk of lung cancer (Q2: HR 0.91, 95% CI 0.85-0.98; Q3: HR 0.86, 95% CI 0.79-0.92; Q4: HR 0.80, 95% CI 0.74-0.86;

conclusionsIn this nationwide cohort study, we observed a significant inverse association between METS-IR and lung cancer risk. However, METS-IR showed limitations in fully explaining lung cancer risk based on insulin resistance alone. These findings highlight the need for future studies incorporating body composition assessments to better evaluate metabolic vulnerability.

Indexed as

BMIinsulin resistancelung cancerMETS-IR

Identifiers

PMID41374929
PMCPMC12691392

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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.