Evidence map›Paper›PMID 37951945›Full record

ArticleLipids in health and disease2023

Influence of renal function on the ability of TyG Index to predict all-cause mortality.

Huilan Li, Weihua Chen, Xueqin Lin, Weiqin Chen, Tingzheng Xie, Kaihong Chen, Shuhong Hou, Huaqing Li

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Huilan Li *Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Weihua Chen *Beijing Friendship Hospital, Capital Medical University, Beijing, 100053, China.
Xueqin Lin *Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Weiqin ChenLongyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Tingzheng XieSchool of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350000, China.
Kaihong ChenLongyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Shuhong HouLongyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. Fjhoush@163.com.
Huaqing LiLongyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. lihuaqing007@126.com.
First Affiliated Hospital of Fujian Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between triglyceride-glucose (TyG) index and poor prognosis remains controversial. Whether renal function status affects the ability of the TyG index to predict poor prognosis has not yet been elucidated and merits further studies.

methodsThis retrospective cohort study included 22,031 participants from communities in the U.S. By juxtaposing the TyG categories with the estimated glomerular filtration rate (eGFR, either < 60 mL/min/1.73m

resultsNo statistical differences were found in the TyG groups in participants with normal renal function after adjustment for all covariates (P = 0.070). However, in the high TyG index group with renal insufficiency, the risk of all-cause mortality rates was reduced by 18%. (HR, 0.82; CI, 0.69-0.98). The TyG index (high vs. low) and renal function (eGFR < 60 vs. eGFR ≥ 60) had statistically significant interactions with death (P < 0.001). When all covariates were adjusted, the risk of mortality for the TyG_L combined with eGFR_L group was 56% higher than that for the TyG_L combined with eGFR_H group (HR, 1.56; CI, 1.33-1.82). In the renal insufficiency population, a nonlinear relationship was observed between mortality and the TyG index, albeit with a differing pattern (P for nonlinearity < 0.001).

conclusionsWhile it has been known that TyG index was a prognosis marker of CVD, this research highlights that higher TyG index was associated with higher all-cause mortality rates for all participants. Furthermore, renal function status significantly moderates the effect of the TyG index on all-cause mortality in community-dwelling adults.

Indexed as

GlucoseRenal InsufficiencyAdultBiomarkersBlood GlucoseHumansKidneyRetrospective StudiesRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAll-cause mortalityInsulin resistanceRenal functionTriglyceride-glucose index

Identifiers

PMID37951945
PMCPMC10638822
OpenAlexW4388586349

What OpenQuestion holds

Textmetadata
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.