Evidence map›Paper›PMID 28701152›Full record

Observational studyBMC nephrology2017

Performance of urinary neutrophil gelatinase-associated lipocalin, clusterin, and cystatin C in predicting diabetic kidney disease and diabetic microalbuminuria: a consecutive cohort study.

Xian-Fei Zeng, Dong-Xue Lu, Jun-Min Li, Yun Tan, Zhuo Li, Lei Zhou, Zeng-Qian Xi, Shu-Miao Zhang, Wei Duan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
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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 4 institutions in 1 country.

Xian-Fei ZengDepartment of Laboratory Medicine and Blood Transfusion, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China.
Dong-Xue LuDepartment of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Jun-Min LiDepartment of Laboratory Medicine and Blood Transfusion, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China.
Yun TanDepartment of Laboratory Medicine and Blood Transfusion, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China.
Zhuo LiDepartment of Laboratory Medicine, The First Affiliated Hospital, Xi'an Medical University, Xi'an, 710077, China.
Lei ZhouDepartment of Laboratory Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Zeng-Qian XiDepartment of Cardiology, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China.
Shu-Miao ZhangDepartment of Laboratory Medicine and Blood Transfusion, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China.
Wei DuanDepartment of Endocrinology, Shaanxi Corps Hospital, Chinese People's Armed Police Forces, Xi'an, 710054, China. wjyyshxk@sina.com.
Chinese People's Armed Police ForceChinese People's Armed Police General Hospital · CNAir Force Medical University · CNXi'an Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTubular biomarkers have been regarded as emerging and promising markers for early diagnosis of diabetic kidney disease (DKD). The study was to determine the diagnostic capabilities of tubular biomarkers (urinary neutrophil gelatinase-associated lipocalin [NGAL], clusterin, and cystatin C) for DKD and diabetic microalbuminuria, and whether or not the tubular biomarkers appear earlier than microalbuminuria.

methodsIn this consecutive cohort study, 146 type 2 diabetes mellitus (T2DM) patients with a disease duration of ≥6 years were enrolled. Thirty age- and gender-matched subjects without any systemic diseases were recruited as the control group. Urinary samples collected before treatment were tested for NGAL, clusterin, and cystatin C.

resultsThe levels of biomarkers were higher in patients with DKD (p < 0.001); and positively correlated with the urinary albumin creatinine ratio (UACR; p < 0.001). With respect to the diagnosis of DKD, the areas under the receiver operating characteristic curve (AUCs) for urinary NGAL, clusterin, and cystatin C were 0.816 (95% confidence interval [CI], 0.741-0.891), 0.775 (95% CI: 0.694-0.857), and 0.803 (95% CI: 0.722-0.884), respectively. The levels of urinary NGAL and cystatin C in the normoalbuminuria group (UACR <30 mg /g•Cr) were elevated compared with the control group, unlike urinary clusterin. There was no statistical difference in the levels of the three biomarkers between groups with different levels of haemoglobin A

conclusionsUrinary NGAL, clusterin, and cystatin C may be promising biomarkers for diagnosing DKD and diabetic microalbuminuria. It is possible that urinary NGAL and cystatin C increase before the onset of microalbuminuria in T2DM patients.

Indexed as

AdultAgedAlbuminuriaBiomarkersClusterinCohort StudiesCystatin CDiabetes Mellitus, Type 2FemaleHumansLipocalin-2LipocalinsMaleMiddle AgedPredictive Value of TestsBiomarkersCLU protein, humanClusterinCystatin CLCN2 protein, humanLipocalin-2LipocalinsClusterinCystatin CDiabetic kidney diseaseDiagnostic biomarkerNeutrophil gelatinase-associated Lipocalin

Identifiers

PMID28701152
PMCPMC5508763
OpenAlexW2735623158

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.