Evidence map›Paper›PMID 38300233›Full record

ArticleEuropean journal of public health2024

The association between METS-IR, an indirect index for insulin resistance, and lung cancer risk.

Guoqing Wang, Zhaopeng Zhu, Yi Wang, Qiang Zhang, Yungang Sun, Guanlian Pang, Wenjing Ge, Zhimin Ma, Huimin Ma, Linnan Gong and 3 more

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 2 institutions in 1 country.

Guoqing WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhaopeng ZhuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yi WangDepartment of Respiratory Disease, Nanjing Chest Hospital, Nanjing Medical University, Nanjing, China.
Qiang ZhangDepartment of Thoracic Surgery, Nanjing Chest Hospital, Nanjing Medical University, Nanjing, China.
Yungang SunDepartment of Thoracic Surgery, Nanjing Chest Hospital, Nanjing Medical University, Nanjing, China.
Guanlian PangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Wenjing GeDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhimin MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Huimin MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Linnan GongDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hongxia MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-2462-9693
Feng ShaoDepartment of Thoracic Surgery, Nanjing Chest Hospital, Nanjing Medical University, Nanjing, China.
Meng ZhuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-5122-1733
Nanjing Medical University · CNNanjing Chest Hospital · CN

Funding

Cancer, Chinese Academy of Medical Sciences 2019RU038Excellent Youth Foundation of Jiangsu Province BK20220100National Natural Science of China 81973123Research Unit of Prospective Cohort of Cardiovascular Diseases
6 · The paper itself

Abstract

backgroundInsulin resistance has been reported to increase the risk of breast, prostate and colorectal cancer. However, the role of insulin resistance and its interaction with genetic risk in the development of lung cancer remains controversial. Therefore, we aimed to explore the association between a novel metabolic score for insulin resistance (METS-IR) and lung cancer risk.

methodsA total of 395 304 participants without previous cancer at baseline were included. The Cox proportional hazards regression model was performed to investigate the association between METS-IR and lung cancer risk. In addition, a Mendelian randomization analysis was also performed to explore the causal relationship. The joint effects and additive interactions between METS-IR and polygenetic risk score (PRS) of lung cancer were also investigated.

resultsDuring a median follow-up of 11.03 years (Inter-quartile range (IQR): 10.30-11.73), a total of 3161 incident lung cancer cases were diagnosed in 395 304 participants. There was a significant association between METS-IR and lung cancer risk, with an HR of 1.28 (95% CI: 1.17-1.41). Based on the Mendelian randomization analysis, however, no causal associations were observed. We observed a joint effect but no interaction between METS-IR and genetic risk. The lung cancer incidence was estimated to be 100.42 (95% CI: 91.45-109.38) per 100 000 person-year for participants with a high METS-IR and PRS, while only 42.76 (95% CI: 36.94-48.59) with low METS-IR and PRS.

conclusionsHigh METS-IR was significantly associated with an increased risk of lung cancer. Keeping a low level of METS-IR might help reduce the long-term incident risk of lung cancer.

Indexed as

Insulin ResistanceLung NeoplasmsMendelian Randomization AnalysisAdultAgedFemaleHumansIncidenceMaleMetabolic SyndromeMiddle AgedProportional Hazards ModelsRisk Factors

Identifiers

PMID38300233
PMCPMC11293818
OpenAlexW4391450160

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.