Evidence map›Paper›PMID 37286717›Full record

ArticleScientific reports2023

In-vitro and in-silico evidence for oxidative stress as drivers for RDW.

Huibert-Jan Joosse, Brigitte A van Oirschot, Sander A A Kooijmans, Imo E Hoefer, Richard A H van Wijk, Albert Huisman, Wouter W van Solinge, Saskia Haitjema

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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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

8 authors.

Huibert-Jan JoosseCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. h.j.joosse-3@umcutrecht.nl.
Brigitte A van OirschotCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Sander A A KooijmansCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Imo E HoeferCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Richard A H van WijkCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Albert HuismanCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Wouter W van SolingeCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Saskia HaitjemaCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red blood cell distribution width (RDW) is a biomarker associated with a variety of clinical outcomes. While anemia and subclinical inflammation have been posed as underlying pathophysiology, it is unclear what mechanisms underlie these assocations. Hence, we aimed to unravel the mechanisms in silico using a large clinical dataset and validate our findings in vitro. We retrieved complete blood counts (CBC) from 1,403,663 measurements from the Utrecht Patient Oriented Database, to model RDW using gradient boosting regression. We performed (sex-stratified) analyses in patients with anemia, patients younger/older than 50 and validation across platforms and care settings. We then validated our hypothesis regarding oxidative stress using an in vitro approach. Only percentage microcytic (pMIC) and macrocytic (pMAC) erythrocytes and mean corpuscular volume were most important in modelling RDW (RMSE = 0.40, R

Indexed as

AnemiaErythrocytesErythrocyte IndicesHumansInflammationOxidative Stress

Identifiers

PMID37286717
PMCPMC10247684

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.