Evidence map›Paper›PMID 35062888›Full record

ArticleBMC nephrology2022

Serum chromogranin A correlated with albuminuria in diabetic patients and is associated with early diabetic nephropathy.

Hui Yu, Hongping Wang, Xue Su, Aili Cao, Xingmei Yao, Yunman Wang, Bingbing Zhu, Hao Wang, Ji Fang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06069076 (Diagnostic Value of Serum Cathepsin S and Chromogranin A in Diabetic Kidney Disease), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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.

NCT06069076 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Diagnostic Value of Serum Cathepsin S and Chromogranin A in Diabetic Kidney Disease

TypeobservationalSponsorAssiut UniversityRan2023 to 2026Enrolled92ConditionsDiabetic Kidney DiseaseArmscathepsin S and chromogranin A
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. The role of chromogranin A cleavage products in onset of type 1 and 2 diabetes.Frontiers in clinical diabetes and healthcare · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Molecules (Basel, Switzerland) · 2022
    Article
  10. 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

9 authors at 1 institution in 1 country.

Hui Yu *Department of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Hongping Wang *Department of Endocrinology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Xue SuDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Aili CaoDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Xingmei YaoDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Yunman WangDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Bingbing ZhuDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China.
Hao WangDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China. wang402hao@163.com.
Ji FangDepartment of Nephrology, Laboratory of Renal Disease, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200062, China. 13601833102@163.com.ORCID 0000-0003-0348-8542
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe kidney is the main site for the removal of chromogranin A (CgA). Previous studies have found that patients with renal impairment displayed elevated concentrations of CgA in plasma and that CgA concentrations reflect a deterioration of renal function. In this study, we aimed to estimate serum CgA levels and to evaluate the role of serum CgA in the early diagnosis of diabetic nephropathy (DN).

methodsA total of 219 patients with type 2 diabetes mellitus (T2DM) were included in this cross-sectional study. These patients were classified into normoalbuminuria (n = 121), microalbuminuria (n = 73), or macroalbuminuria (n = 25) groups based on their urine albumin to creatinine ratios (UACRs). The degree of DN is reflected by UACR. A control group consisted of 45 healthy subjects. The serum CgA levels were measured by ELISA, and other key parameters were assayed.

resultsSerum CgA levels were higher in patients with T2DM than in control subjects, and a statistically significant difference among the studied subgroups regarding CgA was found (P < 0.05). The levels of serum CgA increased gradually with the degree of DN (P < 0.001). Serum CgA levels showed a moderate-intensity positive correlation with UACRs (P < 0.001). A cutoff level of 3.46 ng/ml CgA showed 69.86% sensitivity and 66.12% specificity to detect DN in the early stage.

conclusionThe levels of serum CgA increased gradually with the degree of DN and can be used as a biomarker in the early detection of DN.

Indexed as

AgedAlbuminuriaChromogranin ACorrelation of DataCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesEarly DiagnosisFemaleHumansMaleMiddle AgedChromogranin ABiomarkerChromogranin ADiabetic nephropathyMicroalbumin

Identifiers

PMID35062888
PMCPMC8783443
OpenAlexW4206609776

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Registered trials

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.