Evidence map›Paper›PMID 35089120›Full record

ArticleRambam Maimonides medical journal2022

Eosinophil Cell Count Predicts Mortality in the Intensive Care Unit after Return of Spontaneous Circulation.

İlhan Korkmaz, Yusuf Kenan Tekin, Gülaçan Tekin, Erdal Demirtaş, Sefa Yurtbay, Naim Nur

Open access · diamondAbstract read
In one paragraph

Article in Rambam Maimonides medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
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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

6 authors at 2 institutions in 1 country.

İlhan KorkmazDepartment of Emergency Medicine, Sivas Cumhuriyet University, Faculty of Medicine, Sivas, Turkey.
Yusuf Kenan TekinDepartment of Emergency Medicine, Sivas Cumhuriyet University, Faculty of Medicine, Sivas, Turkey.
Gülaçan TekinDepartment of Cardiology, Sivas Cumhuriyet University, Faculty of Medicine, Sivas, Turkey.
Erdal DemirtaşDepartment of Emergency Medicine, Dokuz Eylül University, Faculty of Medicine, İzmir, Turkey.
Sefa YurtbayDepartment of Emergency Medicine, Sivas Cumhuriyet University, Faculty of Medicine, Sivas, Turkey.
Naim NurDepartment of Family Medicine, Sivas Cumhuriyet University, Faculty of Medicine, Sivas, Turkey.
Sivas Cumhuriyet Üniversitesi · TRDokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEosinophils constitute 1%-5% of peripheral blood leukocytes, less in the presence of acute infections (referred to as eosinopenia). Studies indicate that eosinopenia can be used as a prognostic predictor for chronic obstructive pulmonary disease exacerbation, sepsis, or acute myocardial infarction disease. There are only a few studies about predicting mortality in emergency departments and intensive care units (ICUs). Prognostic studies about patients in ICUs are generally carried out using different scoring systems. We aimed to analyze if the eosinophil count can estimate the prognosis among non-traumatic patients who underwent cardiopulmonary resuscitation and were hospitalized in ICU thereafter.

methodsThe data were evaluated of 865 non-traumatic adult patients (>18 years of age) who were admitted with cardiopulmonary arrest or developed cardiopulmonary arrest during clinical follow-ups. Admission venous blood sample tests, complete blood count, and biochemical laboratory results were recorded. Arterial blood gas results were also evaluated. The mean results of the recorded laboratory results were compared between the surviving and non-surviving patients groups.

resultsThere was a significant difference between the two groups in regard to platelet, eosinophil count, pH, PaO

conclusionBecause admission eosinophil counts can be measured easily, they are inexpensive biomarkers that can be used for predicting the prognosis among the patients who have return of spontaneous circulation and are treated in ICUs.

Identifiers

PMID35089120
PMCPMC8798586
OpenAlexW4210358285

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.