Evidence map›Paper›PMID 41159224›Full record

ReviewRevista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia2025

Usefulness of monocyte distribution width (MDW) in enhancing diagnostic accuracy of infection among severely ill patients presenting to the emergency department.

Juan González Del Castillo, Enrique Del Toro, Marcos Fragiel, David Oteo, Ana García-Álvarez

Abstract readReview
In one paragraph

Review in Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    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.

Juan González Del CastilloEmergency Department, IdISSC, Clínico San Carlos Hospital, Complutense University, Madrid, Spain. jgonzalezcast@gmail.com.ORCID 0000-0002-4329-9802
Enrique Del ToroEmergency Department, Clínico San Carlos Hospital, Madrid, Spain.
Marcos FragielEmergency Department, Clínico San Carlos Hospital, Madrid, Spain.
David OteoEmergency Department, Clínico San Carlos Hospital, Madrid, Spain.
Ana García-ÁlvarezDepartment of Medical Laboratory, Laboratory Medicine Institute, Clínico San Carlos Hospital, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis remains a major cause of morbidity and mortality and continues to pose substantial diagnostic challenges in its early stages. Monocyte Distribution Width (MDW), a parameter automatically integrated into complete blood counts by next-generation haematology analysers, has emerged as a promising biomarker. This study evaluates the diagnostic performance of MDW compared with traditional markers (C-reactive protein and leukocyte count) and clinical scoring systems (SOFA and NEWS) in a cohort of critically ill patients presenting to a hospital emergency department, with the aim of distinguishing those with infection from those whose severity was attributable to other causes.

Indexed as

InfectionsMonocytesSepsisAdultAgedAged, 80 and overBiomarkersC-Reactive ProteinCritical IllnessEmergency Service, HospitalFemaleHumansLeukocyte CountMaleMiddle AgedSeverity of Illness IndexBiomarkersC-Reactive ProteinBiomarkersMonocyte distribution width (MDW)Sepsis

Identifiers

PMID41159224
PMCPMC12584899

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.