Evidence map›Paper›PMID 34636743›Full record

ArticleEndocrine connections2021

Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis.

Yusen Liu, Ruiwen Chi, Yujie Jiang, Bicheng Chen, Youli Chen, Zengrui Chen

Abstract read
In one paragraph

Article in Endocrine connections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Yusen LiuDepartment of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
Ruiwen ChiDepartment of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
Yujie JiangSchool of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China.
Bicheng ChenDepartment of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China.
Youli ChenWuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zengrui ChenIntensive Care Unit, The People's Hospital of Yuhuan, Yuhuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analysis to evaluate the performance of TyG index in predicting GDM.

methodsStudies published before March 1, 2021, with comparison of TyG index between GDM patients and healthy controls were retrieved from multiple databases (PubMed, Web of Science, The Cochrane Library, and Embase). The mean difference (MD) of TyG index in GDM patients and healthy controls was pooled using random-effect models.

resultsDifferentiation of TyG index between patients with GDM and controls showed significant results. Overall, there is a four-fold increase in TyG index in GDM patients compared with controls (MD: 0.22, 95% CI: 0.07-0.36, P = 0.003; I2 = 71%, P = 0.009). In subgroup analyses according to gestational time, TyG index in the second trimester predicted GDM with low heterogeneity (MD: 0.26, 95% CI: 0.15-0.37, P < 0.001; I2 = 0%, P = 0.54), while no such correlation was found in the first trimester.

conclusionTyG index, especially in the second trimester, could be a promising biomarker for predicting GDM.

Indexed as

gestational diabetes mellitusmeta-analysistriglyceride glycemic index

Identifiers

PMID34636743
PMCPMC8630762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.