Evidence map›Paper›PMID 36714554›Full record

SynthesisFrontiers in endocrinology2022

Association between triglyceride glucose index and risk of cancer: A meta-analysis.

Huan Wang, Feifei Yan, Yani Cui, Feinan Chen, Guixia Wang, Weiwei Cui

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 7 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

38 citing papers in PubMed, 7 syntheses or guidelines 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

6 authors.

Huan WangDepartment of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, China.
Feifei YanDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China.
Yani CuiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China.
Feinan ChenDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China.
Guixia WangDepartment of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, China.
Weiwei CuiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triglyceride glucose (TyG) index as a more convenient and reliable predictor of insulin resistance (IR) is thought to be associated with many diseases, but its relationship with cancer remains unclear. Methods: The meta-analysis was conducted to evaluate the effects of TyG index on cancer risk utilizing the available evidence. PubMed, EMBASE, Medline, Cochrane Library and Web of Science were searched from their inception up to July 2022. A random-effects model was used to calculate the effect estimates and 95% confidence intervals (CIs). Results: A total of 6 observational studies met our inclusion criteria, which including 992292 participants. The meta-analysis indicated that the higher TyG index increased cancer risk compared to the lower TyG index group (total effect size =1.14, 95% CI [1.08, 1.20], Conclusions: Our meta-analysis found that higher TyG index may increase the risk of cancer. More prospective cohort studies and basic research are warranted to verify the relationship.

Indexed as

Insulin ResistanceNeoplasmsGlucoseHumansProspective StudiesTriglyceridesGlucoseTriglyceridescancermeta-analysisobservational researchrandom effects modeltriglyceride glucose index

Identifiers

PMID36714554
PMCPMC9877418

What OpenQuestion holds

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LicenceCC BY
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.