Evidence map›Paper›PMID 39614187›Full record

ArticleBMC nephrology2024

Association of insulin resistance with chronic kidney disease in individuals without diabetes in a community population in South China.

Jiamin Li, Qin Zhou, Zhen Liu, Hequn Zou

Abstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Jiamin Li *Department of Nephrology, Nanfang Hospital Baiyun Branch of Southern Medical University, Guangzhou, 510080, People's Republic of China.
Qin Zhou *Department of Nephrology, The Central Hospital of Wuhan, Wuhan, 430000, People's Republic of China.
Zhen LiuDepartment of Nephrology, Nanfang Hospital Baiyun Branch of Southern Medical University, Guangzhou, 510080, People's Republic of China.
Hequn ZouSchool of Medicine, The Chinese University of Hong Kong, Shenzhen, 518116, People's Republic of China. zouhequn@cuhk.edu.cn.

Funding

Clinical Research Cultivation Project of Southern Medical University LC2016PY047National Natural Science Foundation of China 81270840
6 · The paper itself

Abstract

backgroundTo explore the relationship of insulin resistance (IR) with chronic kidney disease (CKD) in individuals without diabetes.

methodsWe performed a cross-sectional survey among 2142 community-based participants without diabetes from southern China from June to October 2012 and excluded the incomplete data. We divided all the participants into four groups according to the quartiles of homeostasis model assessment of IR (HOMA-IR). Logistic regression models were used to explore the associations of IR with CKD in these subjects.

resultsIn the unadjusted model, compared with the quartile one group, IR was significantly associated with CKD (odds ratio [OR] = 2.24, P < 0.001; OR = 4.46, P < 0.001) in the quartile three and four groups, and the association was still significant (OR = 2.08, P = 0.005; OR = 3.89, P < 0.001 ) after adjusting for potential confounders (including age, current smoker, current alcohol use, physical inactivity, education level, systolic blood pressure, diastolic blood pressure, serum triglyceride, and body mass index). The area under the receiver operating characteristic curve (95% confidence interval) of HOMA-IR for diagnosing CKD was 0.67 (0.64, 0.71). The cut-off value was 2.5, the sensitivity was 75.2%, and the specificity was 56.4%.

conclusionsIR is associated with Chronic Kidney Disease (CKD) in participants without diabetes. It has been proposed that CKD patients may benefit from reducing their insulin resistance.

Indexed as

Insulin ResistanceRenal Insufficiency, ChronicAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsChronic kidney diseaseInsulin resistanceParticipants without diabetes

Identifiers

PMID39614187
PMCPMC11607959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.