Evidence map›Paper›PMID 37404879›Full record

ArticleMissouri medicine

Novel Hematological Biomarker Adopted for Early Sepsis Detection Emerges as Predictor of Severity for COVID Infection.

Valerica Mateescu, Kamani Lankachandra

Abstract read
In one paragraph

Article in Missouri medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Inflammatory markers as outcome predictors of COVID-19 in pregnant women.Revista da Associacao Medica Brasileira (1992) · 2023
    Article
  4. Article
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

2 authors.

Valerica MateescuAssociate Professor, Director of Hematopathology, Department of Pathology, University of Missouri Kansas City School of Medicine, and University Health/Truman Medical Center, Kansas City, Missouri.
Kamani LankachandraProfessor, Chair, and Associate Program Director, Department of Pathology, University of Missouri Kansas City School of Medicine, and University Health/Truman Medical Center, Kansas City, Missouri.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a major health care burden with significant contribution to morbidity, mortality, and hospital resource utilization. Monocyte Distribution Width (MDW), the novel hematological biomarker, was clinically implemented in our laboratory for early detection of sepsis (ESId) in 2019. When COVID-19 pandemic hit in 2020, we noticed some similarities of the laboratory data of the COVID patients with patients previously diagnosed with sepsis. The aim of this study was to evaluate the value of the hematological data including MDW in predicting COVID disease severity and outcome. A retrospective study was conducted on 130 COVID-infected patients who presented at our hospital during March and April 2020. Collected data included clinical, laboratory, and radiological findings. This study demonstrates a unique pattern of three hematological biomarkers that predicted severity and outcome in COVID patients at their initial presentation in the Emergency Room (ER): higher absolute neutrophil count (ANC), lower absolute lymphocyte count (ALC), and higher MDW.

Indexed as

BiomarkersCOVID-19LeukocytesSepsisHumansPandemicsPatient AcuityPredictive Value of TestsRetrospective StudiesBiomarkers

Identifiers

PMID37404879
PMCPMC10317102

What OpenQuestion holds

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Registered trials

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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.