Evidence mapPaperPMID 36079108Full record

ArticleJournal of clinical medicine2022

Triglyceride-Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy.

Aiya Qin, Jiaxing Tan, Siqing Wang, Lingqiu Dong, Zheng Jiang, Dandan Yang, Huan Zhou, Xiaoyuan Zhou, Yi Tang, Wei Qin

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

10 authors at 1 institution in 1 country.

Aiya QinWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Jiaxing TanWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Siqing WangWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Lingqiu DongWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Zheng JiangWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Dandan YangWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Huan ZhouWest China School of Medicine, Sichuan University, Chengdu 610041, China.
Xiaoyuan ZhouWest China School of Public Health, West China Forth Hospital, Sichuan University, Chengdu 610093, China.ORCID 0000-0001-9260-3420
Yi TangDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Wei QinDepartment of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.ORCID 0000-0003-4246-5431
Sichuan University · CN

Funding

National Key R&D Program of China 2020YFC2006503National Natural Science Foundation of China No. 81970612
6 · The paper itself

Abstract

Background: The triglyceride−glucose (TyG) index is a simple, novel and reliable surrogate marker of insulin resistance. However, evidence for the prognostic impact of an elevated TyG index on IgA nephropathy (IgAN) is limited. Therefore, we evaluated the relationship between the TyG index and the risk of renal progression in IgAN. Method: This cohort study involved biopsy-proven IgAN between January 2009 and December 2018 in West China Hospital, in which patients were assigned to two groups based on the cut-off value of TyG using receiver operating characteristic (ROC) curves. A 1:1 matched-pair analysis was established to optimize the bias in IgAN by propensity score matching (PSM). The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The composite endpoint was defined by eGFR decreased ≥50% of the baseline level, end-stage kidney disease (ESKD), renal transplantation and/or death. Univariable and multivariable Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Results: Before PSM, a total of 1210 participants were ultimately included. During a median follow-up period of 55.8 months (range 37.20−79.09 months), 129 participants progressed to the composite endpoint (10.7%). After PSM, 366 patients were enrolled in the matched cohort, of whom 34 (9.3%) patients reached the endpoints. Based on the cut-off value of the TyG index, patients were divided into the low TyG index group (TyG ≤ 8.72, n = 690) and the high TyG index group (TyG > 8.72, n = 520). Further analysis demonstrated that a higher TyG index was significantly associated with a higher risk of reaching composite endpoints in IgAN patients in both the unmatched and matched cohorts (before PSM: HR 2.509, 95% CI 1.396−4.511, p = 0.002; after PSM: HR 2.654, 95% CI 1.299−5.423, p = 0.007). Conclusion: A high TyG index is associated with a higher risk of renal progression.

Indexed as

IgA nephropathyrenal survivaltriglyceride glucose indexTyG index

Identifiers

PMID36079108
PMCPMC9456599
OpenAlexW4294147859

What Socratic holds

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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 Socratic graph.