Evidence map›Paper›PMID 39857298›Full record

ReviewBiology2025

Genetic Variants Related to Increased CKD Progression-A Systematic Review.

Filipe S Mira, Bárbara Oliveiros, Isabel Marques Carreira, Rui Alves, Ilda Patrícia Ribeiro

Abstract readReview
In one paragraph

Review in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Filipe S MiraDepartment of Nephrology, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugal.ORCID 0000-0002-5682-3116
Bárbara OliveirosFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0001-7836-8161
Isabel Marques CarreiraFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal.
Rui AlvesDepartment of Nephrology, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugal.
Ilda Patrícia RibeiroFaculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal.ORCID 0000-0002-6096-8705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and prevalence of chronic kidney disease (CKD) are increasing worldwide. CKD is associated with high morbidity, premature mortality, and high healthcare costs. Genetic variants may influence CKD development and progression. This study aimed to identify the associations between allelic variants and CKD progression. We performed a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The PubMed, Embase, and Cochrane Central databases were used for data collection. Hereditary causes of CKD were excluded from the analysis. A total of 38 reports were included. The selected studies included cohort studies, case-control studies, and genome-wide association studies (GWASs). The studies involved patients of different ethnicities and with comorbid diseases. Several genetic variants were identified in genes that encode proteins related to metabolic processes, oxidative stress, immune regulation, the renin-angiotensin-aldosterone pathway, and epigenetics, among others. These genetic alterations can affect protein function and lead to renal damage, impacting CKD development and progression. Gene polymorphisms can influence CKD progression. Many of these are population-specific, and their relevance may be influenced by the presence of other diseases and environmental factors. Larger studies are needed to confirm the associations described here.

Indexed as

chronic kidney diseaseend-stage renal diseaseestimated glomerular filtration rate (eGFR)geneticsprogressionsingle nucleotide polymorphism

Identifiers

PMID39857298
PMCPMC11761907

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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.