Evidence map›Paper›PMID 36313086›Full record

ArticleFrontiers in nutrition2022

Association of triglyceride glucose-body mass index with non-small cell lung cancer risk: A case-control study on Chinese adults.

Feifei Wang, Ting He, Guoliang Wang, Tuo Han, Zhongqiang Yao

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

12 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Feifei WangDepartment of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi'an Jiaotong University, Hanzhong, Shaanxi, China.
Ting HeDepartment of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi'an Jiaotong University, Hanzhong, Shaanxi, China.
Guoliang WangDepartment of Orthopedics, Second Affiliated Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Tuo HanDepartment of Oncology Surgery, The 3201 Hospital Affiliated to Medical Department of Xi'an Jiaotong University, Hanzhong, Shaanxi, China.
Zhongqiang YaoDepartment of Oncology, The 3201 Hospital Affiliated to Medical Department of Xi'an Jiaotong University, Hanzhong, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Insulin resistance (IR) is closely related to non-small-cell lung cancer (NSCLC) risk. Recently, triglyceride glucose-body mass index (TyG-BMI) has been recognized as one of the simple indexes of insulin resistance (IR). However, there are limited data on the relationship between TyG-BMI and NSCLC. Here, we investigated the association of TyG-BMI with NSCLC risk in Chinese adults. Methods: This study consisted of 477 NSCLC cases and 954 healthy subjects. All participants were enrolled from 3201 Hospital affiliated to the Medical Department of Xi'an Jiaotong University. TyG-BMI was calculated based on the values of fasting blood glucose, triglyceride, and BMI. The association of TyG-BMI with NSCLC risk was estimated by logistic regression analysis. Results: The mean value of TyG-BMI was statistically increased in patients with NSCLC compared to the control group (201.11 ± 28.18 vs. 174 ± 23.78, Conclusion: The findings suggest that TyG-BMI is a useful tool for assessing NSCLC risk. Thus, it is essential to follow up on high TyG-BMI, and lifestyle modification is needed to prevent NSCLC in people with high TyG-BMI.

Indexed as

glucoseinsulin resistancenon-small cell lung cancertriglyceridetriglyceride glucose-body mass index

Identifiers

PMID36313086
PMCPMC9614218

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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.