Evidence map›Paper›PMID 32899941›Full record

ReviewCells2020

Uremic Toxins Affect Erythropoiesis during the Course of Chronic Kidney Disease: A Review.

Eya Hamza, Laurent Metzinger, Valérie Metzinger-Le Meuth

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 69 citations in OpenAlex.

  1. Trial
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  13. Observational
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  16. Antioxidants (Basel, Switzerland) · 2025
    Article
  17. Review
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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

3 authors at 2 institutions in 1 country.

Eya HamzaHEMATIM UR 4666, C.U.R.S, University of Picardie Jules Verne, CEDEX 1, 80025 Amiens, France.
Laurent MetzingerHEMATIM UR 4666, C.U.R.S, University of Picardie Jules Verne, CEDEX 1, 80025 Amiens, France.ORCID 0000-0002-7636-8480
Valérie Metzinger-Le MeuthHEMATIM UR 4666, C.U.R.S, University of Picardie Jules Verne, CEDEX 1, 80025 Amiens, France.ORCID 0000-0003-1718-5083
Hématopoïèse et immunologie · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a global health problem characterized by progressive kidney failure due to uremic toxicity and the complications that arise from it. Anemia consecutive to CKD is one of its most common complications affecting nearly all patients with end-stage renal disease. Anemia is a potential cause of cardiovascular disease, faster deterioration of renal failure and mortality. Erythropoietin (produced by the kidney) and iron (provided from recycled senescent red cells) deficiencies are the main reasons that contribute to CKD-associated anemia. Indeed, accumulation of uremic toxins in blood impairs erythropoietin synthesis, compromising the growth and differentiation of red blood cells in the bone marrow, leading to a subsequent impairment of erythropoiesis. In this review, we mainly focus on the most representative uremic toxins and their effects on the molecular mechanisms underlying anemia of CKD that have been studied so far. Understanding molecular mechanisms leading to anemia due to uremic toxins could lead to the development of new treatments that will specifically target the pathophysiologic processes of anemia consecutive to CKD, such as the newly marketed erythropoiesis-stimulating agents.

Indexed as

ErythropoiesisHumansRenal Insufficiency, ChronicUremiaanemiachronic kidney diseaseerythropoiesiserythropoietinindoxyl sulfateironuremic toxins

Identifiers

PMID32899941
PMCPMC7565991
OpenAlexW3083195495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.