Evidence map›Paper›PMID 40767138›Full record

SynthesisAnnals of medicine2025

Low eosinophils and their dynamic as a predictor of death in patients with infections: a systematic review and meta-analysis of cohort studies.

Larisa Pinte, Andra-Cristiana Dumitru, Andreea-Codruta Usurelu, Cristian-Mihail Niculae, Anamaria Draghici, Marius Alexandru Cotet, Cristian Baicus

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

7 authors.

Larisa PinteUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.ORCID 0000-0002-9548-9165
Andra-Cristiana DumitruDepartment of Internal Medicine, Colentina Clinical Hospital, Bucharest, Romania.
Andreea-Codruta UsureluDepartment of Gastroenterology, Colentina Clinical Hospital, Bucharest, Romania.
Cristian-Mihail NiculaeUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Anamaria DraghiciUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Marius Alexandru CotetUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Cristian BaicusUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEosinophils prognostic significance in predicting mortality has become particularly notable during the COVID-19 pandemic. We aimed to evaluate the prognostic value of peripheral low eosinophil (eosinopenia) with focus on their dynamics (eosinophil recovery) in patients with infections.

methodsWe searched databases (MEDLINE, Embase, Scopus, Web of Science, and the Cochrane Library) and additional sources from inception to 1 December 2023. Cohort studies involving adult patients hospitalized with infections were evaluated using dual-reviewer methodology.

resultsOut of 15,066 screened papers, 151 studies met the inclusion criteria, with 107 focused on COVID-19, 14 on sepsis, 9 on

conclusionsEosinopenia, particularly the trajectory of eosinophil recovery, may serve as a cost-effective and accessible prognostic marker for mortality in patients with infections.

Indexed as

COVID-19EosinophilsSepsisClostridium InfectionsCohort StudiesHumansLeukocyte CountPrognosisPulmonary Disease, Chronic ObstructiveSARS-CoV-2Clostridioides difficileCOVID-19dynamiceosinopeniaeosinophilinfectionmortalityrecoverysepsissystematic review

Identifiers

PMID40767138
PMCPMC12329832

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.