Evidence map›Paper›PMID 38332001›Full record

ArticleScientific reports2024

Exploring the relations of NLR, hsCRP and MCP-1 with type 2 diabetic kidney disease: a cross-sectional study.

Yaxuan Fang, Bin Wang, Bo Pang, Zijun Zhou, Yunze Xing, Pai Pang, Dingyuan Zheng, Gang Zhang, Bo Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Observational
  6. Article
  7. Article
  8. Observational
  9. Review
  10. Article
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  12. Observational
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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

9 authors at 2 institutions in 1 country.

Yaxuan FangDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Liqizhuang Street, Xiqing District, Tianjin, 300380, China.
Bin WangDepartment of Endocrinology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Bo PangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Zijun ZhouDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Liqizhuang Street, Xiqing District, Tianjin, 300380, China.
Yunze XingDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Liqizhuang Street, Xiqing District, Tianjin, 300380, China.
Pai PangDepartment of Endocrinology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Dingyuan ZhengDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Liqizhuang Street, Xiqing District, Tianjin, 300380, China.
Gang ZhangThe Community Health Service Center of Hangzhou Road Street in Tianjin Binhai New Area, Tianjin, China.
Bo YangDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Liqizhuang Street, Xiqing District, Tianjin, 300380, China. yb8203@126.com.
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine · CNTianjin University of Traditional Chinese Medicine · CN

Funding

Beijing-Tianjin-Hebei Basic Research Cooperative Project 20JCZXJC00060Grassroots Health Science and Technology Project of Tianjin Binhai New Area Health Commission 2019BWKJ039
6 · The paper itself

Abstract

Type 2 diabetic kidney disease (T2DKD) is a common microvascular complication of type 2 diabetes mellitus (T2DM), and its incidence is significantly increasing. Microinflammation plays an important role in the development of T2DKD. Based on this, this study investigated the value of inflammatory markers including neutrophil-lymphocyte ratio (NLR), high-sensitivity C-reactive protein (hs-CRP), monocyte chemoattractant protein-1 (MCP-1) in the prediction of T2DKD. This was a cross-sectional survey study. A total of 90 patients with T2DM, who were hospitalized in the nephrology and endocrinology departments of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from June 2021 to January 2022, were included and divided into three groups (A1, A2, A3) according to the urinary albumin-to-creatinine ratio (UACR). Observe and compare the basic information, clinical and laboratory data, and the inflammatory markers NLR, hs-CRP, MCP-1. Results revealed that high levels of NLR (OR = 6.562, 95% CI 2.060-20.902, P = 0.001) and MCP-1 (OR = 1.060, 95% CI 1.026-1.095, P < 0.001) were risk factors in the development of T2DKD. Receiver operating characteristic curve analysis showed that the area under curve of NLR and MCP-1 in diagnosing T2DKD were 0.760 (95% CI 0.6577-0.863, P < 0.001) and 0.862 (95% CI 0.7787-0.937, P < 0.001). Therefore, the inflammatory markers NLR and MCP-1 are risk factors affecting the development of T2DKD, which of clinical value may be used as novel markers of T2DKD.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesChemokine CCL2C-Reactive ProteinCross-Sectional StudiesHumansLymphocytesNeutrophilsReceptors, ImmunologicRetrospective StudiesROC CurveCCL2 protein, humanChemokine CCL2C-Reactive ProteinCRP protein, humanReceptors, Immunologic

Identifiers

PMID38332001
PMCPMC10853504
OpenAlexW4391651437

What Socratic 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 Socratic graph.