Evidence map›Paper›PMID 35942475›Full record

ReviewJournal of blood medicine2022

Red Blood Cell Distribution Width as Novel Biomarker in Cardiovascular Diseases: A Literature Review.

Mesay Arkew, Kabtamu Gemechu, Kassahun Haile, Haftu Asmerom

Open access · goldAbstract readReview
In one paragraph

Review in Journal of blood medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Mesay ArkewSchool of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.ORCID 0000-0002-9009-4586
Kabtamu GemechuSchool of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.ORCID 0000-0003-0495-3231
Kassahun HaileDepartment of Medical Laboratory Science, College of Medicine and Health Sciences, Wolkite University, Wolkite, Ethiopia.ORCID 0000-0002-2520-9244
Haftu AsmeromSchool of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Haramaya University · ETWolkite University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red blood cell distribution width (RDW) is a measure of the change in size of red blood cells and it is used in combination with other hematological parameters for the differential diagnosis of anemias. Recent evidence suggested that the change in RDW level may be a predictive biomarker of morbidity and mortality in cardiovascular diseases (CVDs). Cardiovascular diseases are the most common cause of death globally as compared to cancer and communicable diseases. Early diagnosis and prompt intervention of these diseases are very important to minimize their complications. Nowadays, the diagnosis of most cardiovascular diseases majorly depends on clinical judgment, electrocardiography and biochemical parameters. Red blood cell distribution width as a new predictive biomarker may play a pivotal role in assessing the severity and progression of CVDs. However, the underlying mechanisms for the association between RDW and CVDs are not clear. A deeper understanding of their association could help the physicians in more careful identification, early prevention, intervention, and treatment to prevent adverse cardiovascular events. This review aims to elaborate on the recent knowledge on the association between RDW and cardiovascular diseases and some possible pathophysiological mechanisms.

Indexed as

biomarkerscardiovascular diseasesinflammationprognosisred blood cell distribution width

Identifiers

PMID35942475
PMCPMC9356613
OpenAlexW4289260488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.