Evidence map›Paper›PMID 34682842›Full record

ArticleJournal of clinical medicine2021

Influence of Estimated Glomerular Filtration Rate on Clinical Outcomes in Patients with Acute Ischemic Stroke Not Receiving Reperfusion Therapies.

Mi-Yeon Eun, Jin-Woo Park, Bang-Hoon Cho, Kyung-Hee Cho, Sungwook Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
–field-weighted citation impact, top 81% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Mi-Yeon EunDepartment of Neurology, Kyungpook National University Chilgok Hospital, Daegu 41404, Korea.ORCID 0000-0002-8617-5850
Jin-Woo ParkDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.ORCID 0000-0001-5548-3378
Bang-Hoon ChoDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.
Kyung-Hee ChoDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.
Sungwook YuDepartment of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea.
Korea University Medical Center · KRKyungpook National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to determine whether estimated glomerular filtration rate (eGFR) is an independent predictor of clinical outcomes in patients with acute ischemic stroke not treated with reperfusion therapy.

methodsA total of 1420 patients with acute ischemic stroke from a hospital-based stroke registry were included in this study. Patients managed with intravenous thrombolysis or endovascular reperfusion therapy were excluded. The included patients were categorized into five groups according to eGFR, as follows: ≥90, 60-89, 45-59, 30-44, and <30 mL/min/1.73 m

resultsIn univariable logistic regression analysis, reduced eGFR was associated with poor functional outcome at discharge (

conclusionsReduced eGFR was associated with poor functional outcomes at discharge and in-hospital mortality but was not an independent predictor of short-term clinical outcomes in patients with acute ischemic stroke who did not undergo reperfusion therapy.

Indexed as

chronic kidney diseaseclinical outcomeestimated glomerular filtration rateischemic stroke

Identifiers

PMID34682842
PMCPMC8541215
OpenAlexW3207658019

What OpenQuestion holds

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LicenceCC BY
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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.