Evidence map›Paper›PMID 39581971›Full record

SynthesisBMC nephrology2024

Association of serum uromodulin with diabetic kidney disease: a systematic review and meta-analysis.

Shaimaa I Barr, Eman M Abd El-Azeem, Sahar S Bessa, Tarek M Mohamed

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  3. Review
  4. Review
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.

Shaimaa I BarrBiochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt. shaimaaibrahim-p@sci.asu.edu.eg.
Eman M Abd El-AzeemBiochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
Sahar S BessaInternal Medicine Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
Tarek M MohamedBiochemistry Division, Chemistry Department, Faculty of Science, Tanta University, Tanta, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have investigated the association between the changes of serum uromodulin and diabetic kidney disease (DKD). However, the results are still controversial. Therefore, this meta-analysis was conducted to provide a comprehensive evaluation of the association between serum uromodulin levels and DKD.

methodsPubMed, Cochrane library, Web of Science, and Scopus were systemically searched following the PRISMA protocol to identify the studies that reported the relationship between serum uromodulin level and DKD. To investigate the association between uromodulin and DKD, a standardized mean difference (SMD) with a 95% confidence interval (CI) was used. When significant heterogeneity was detected (I

resultsIn total, 6 studies with 1774 patients were included in the final analysis. The random effect model was used. The pooled results showed that the serum uromodulin levels were significantly decreased in patients with DKD (SMD: -0.31; 95% CI: -0.48 to -0.13) (I

conclusionThis meta-analysis showed a significant association between low levels of serum uromodulin and DKD. So, it could have a predictive role for DKD. However, its performance varied across subgroup analyses restricted by race and clinical settings. Moreover, further studies are required with a focus on the cut-off value for predicting diagnostic accuracy.

Indexed as

Diabetic NephropathiesUromodulinBiomarkersHumansBiomarkersUromodulinDiabetic kidney diseaseMeta-analysisUromodulin

Identifiers

PMID39581971
PMCPMC11587581

What Socratic holds

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LicenceCC BY
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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.