Evidence map›Paper›PMID 31195995›Full record

ArticleBMC neurology2019

Absolute blood eosinophil count could be a potential biomarker for predicting haemorrhagic transformation after intravenous thrombolysis for acute ischaemic stroke.

Neringa Jucevičiūtė, Paulius Mikužis, Renata Balnytė

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Global stroke statistics 2023: Availability of reperfusion services around the world.International journal of stroke : official journal of the International Stroke Society · 2024
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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

3 authors at 1 institution in 1 country.

Neringa JucevičiūtėFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, LT-44307, Kaunas, Lithuania. neringa.juceviciute@gmail.com.ORCID http://orcid.org/0000-0002-2635-6537
Paulius MikužisFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, LT-44307, Kaunas, Lithuania.
Renata BalnytėDepartment of Neurology, Lithuanian University of Health Sciences, Eiveniu Str. 2, LT-50161, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune cells are involved in all stages of acute ischaemic stroke (AIS) and possess both neuroprotective and neurodamaging properties. It has been suggested that immune system activation after stroke may be associated with the development of haemorrhagic transformation (HT), which is the main complication limiting the clinical use of intravenous thrombolysis with recombinant tissue plasminogen activator (rtPA) for AIS. The purpose of our study was to analyse the association between absolute eosinophil count (AEC) at admission and the occurrence of HT after intravenous rtPA therapy for AIS.

methodsIn this retrospective study we enrolled AIS patients who were treated with rtPA within 4.5 h of symptom onset. Baseline stroke severity was evaluated using the National Institutes of Health Stroke Scale (NIHSS). Patients underwent head computed tomography scans at admission which were repeated 24 h after treatment with rtPA or promptly in case of clinical deterioration. HT was defined as blood at any site in the brain on follow-up head computed tomography scans. Spearman's rank correlation test was used to analyse the correlation between AEC and NIHSS scores. The optimal AEC cut-off value for predicting HT was calculated using the area under the receiver operating characteristic curve. Multiple logistic regression was used to determine the association between AEC included as a binary variable and the incidence of HT.

resultsThe data of 201 patients was analysed (59.7% females; median age 77 years); 23 (11.4%) of them developed HT. The median of AEC was 62.5% greater in the non-HT group compared to the HT group (0.13 ×  10

conclusionHigher values of AEC were associated with lower odds of developing HT, thus, AEC at admission could be considered an independent predictive marker of HT after treatment with rtPA for AIS.

Indexed as

EosinophilsAdministration, IntravenousAgedAged, 80 and overBiomarkersBrain IschemiaCerebral HemorrhageFemaleHumansLeukocyte CountMaleMiddle AgedRetrospective StudiesROC CurveSensitivity and SpecificityStrokeBiomarkersTissue Plasminogen ActivatorAcute ischaemic strokeEosinophilsHaemorrhagic transformationImmune cellsThrombolysisTissue plasminogen activator

Identifiers

PMID31195995
PMCPMC6563361
OpenAlexW2950271068

What OpenQuestion holds

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LicenceCC BY
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.