Evidence map›Paper›PMID 34444428›Full record

ArticleInternational journal of environmental research and public health2021

Prior Antiplatelet Therapy and Stroke Risk in Critically Ill Patients Undergoing Extracorporeal Membrane Oxygenation.

Tak-Kyu Oh, In-Ae Song, Sol-Yi Lee, Hey-Ran Choi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Tak-Kyu OhDepartment of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
In-Ae SongDepartment of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Sol-Yi LeeDepartment of Anesthesiology and Pain Medicine, Inje University Seoul Paik Hospital, Seoul 04551, Korea.
Hey-Ran ChoiDepartment of Anesthesiology and Pain Medicine, Inje University Seoul Paik Hospital, Seoul 04551, Korea.
Inje University Seoul Paik Hospital · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate whether prior exposure to antiplatelet therapy (anti-PLT) was associated with stroke incidence after the initiation of extracorporeal membrane oxygenation (ECMO) therapy. We conducted a population-based cohort study based on health records obtained from the National Health Insurance Service database in South Korea. Adult patients (aged ≥ 18 years) who underwent ECMO therapy in the intensive care unit during 2009-2018 were enrolled. In total, 17,237 patients who underwent ECMO therapy were included; stroke occurred in 779 (4.5%) of 17,237 patients within 7 days of initiating the ECMO therapy. The number of patients in the anti-PLT and control groups was 3909 (22.7%) and 13,328 (77.3%), respectively. In the multivariable logistic regression analysis, the anti-PLT group showed 33% lower incidence of stroke than the control group (odds ratio (OR): 0.67, 95% confidence interval (CI): 0.55-0.82;

Indexed as

Extracorporeal Membrane OxygenationStrokeAdultCohort StudiesCritical IllnessHumansPlatelet Aggregation InhibitorsRetrospective StudiesTreatment OutcomePlatelet Aggregation Inhibitorsaspirinclopidogrelextracorporeal membrane oxygenationintensive care unitsstroke

Identifiers

PMID34444428
PMCPMC8394632
OpenAlexW3193322748

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.