Evidence map›Paper›PMID 33123356›Full record

ReviewClinical kidney journal2020

The genetic map of diabetic nephropathy: evidence from a systematic review and meta-analysis of genetic association studies.

Maria Tziastoudi, Ioannis Stefanidis, Elias Zintzaras

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical kidney journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 9 pooled it
–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

44 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. The Role ofGenes · 2026
    Pooled it
  2. The Role ofGenes · 2025
    Pooled it
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  18. Frontiers in pharmacology · 2025
    Review
  19. Study of the Association ofInternational journal of general medicine · 2025
    Article
  20. 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

3 authors.

Maria TziastoudiDepartment of Biomathematics, University of Thessaly, School of Medicine, Larissa, Greece.
Ioannis StefanidisDepartment of Nephrology, University of Thessaly, School of Medicine, Larissa, Greece.
Elias ZintzarasDepartment of Biomathematics, University of Thessaly, School of Medicine, Larissa, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the extensive efforts of scientists, the genetic background of diabetic nephropathy (DN) has not yet been clarified. To elucidate the genetic variants that predispose to the development of DN, we conducted a systematic review and meta-analysis of all available genetic association studies (GAS) of DN. We searched in the Human Genome Epidemiology Navigator (HuGE Navigator) and PubMed for available GAS of DN. The threshold for meta-analysis was three studies per genetic variant. The association between genotype distribution and DN was examined using the generalized linear odds ratio (OR

Indexed as

associationdiabetic nephropathygeneticmeta-analysispolymorphismssystematic review

Identifiers

PMID33123356
PMCPMC7577775

What OpenQuestion holds

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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 OpenQuestion graph.