Evidence map›Paper›PMID 29353826›Full record

ArticleJournal of atherosclerosis and thrombosis2018

The Association between Glomerular Filtration Rate Estimated on Admission and Acute Stroke Outcome: The Shiga Stroke Registry.

Aryandhito Widhi Nugroho, Hisatomi Arima, Itsuko Miyazawa, Takako Fujii, Naomi Miyamatsu, Yoshihisa Sugimoto, Satoru Nagata, Masaru Komori, Naoyuki Takashima, Yoshikuni Kita and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Differential Effects of Admission Hemoglobin AJournal of the American Heart Association · 2025
    Article
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  6. Review
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  20. Cerebrorenal Interaction and Stroke Outcome.Journal of atherosclerosis and thrombosis · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Aryandhito Widhi NugrohoDepartment of Neurosurgery, Shiga University of Medical Science.
Hisatomi ArimaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University.
Itsuko MiyazawaDepartment of Medicine, Shiga University of Medical Science.
Takako FujiiDepartment of Neurosurgery, Shiga University of Medical Science.
Naomi MiyamatsuDepartment of Clinical Nursing, Shiga University of Medical Science.
Yoshihisa SugimotoDepartment of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science.
Satoru NagataDepartment of Medical Informatics and Biomedical Engineering, Shiga University of Medical Science.
Masaru KomoriDepartment of Fundamental Biosciences, Shiga University of Medical Science.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science.
Yoshikuni KitaDepartment of Public Health, Shiga University of Medical Science.
Katsuyuki MiuraCenter for Epidemiologic Research in Asia, Shiga University of Medical Science.
Kazuhiko NozakiDepartment of Neurosurgery, Shiga University of Medical Science.
Shiga University of Medical Science · JPFukuoka University · JPTsuruga Nursing University · JPUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAlthough renal dysfunction has been identified as a novel risk factor affecting stroke prognosis, few have analyzed the association within large-scale population-based setting, using wide-range estimated glomerular filtration rate (eGFR) category. We aimed to determine the association of admission eGFR with acute stroke outcomes using data from a registry established in Shiga Prefecture, Japan.

methodsFollowing exclusion of patients younger than 18 years, with missing serum creatinine data, and with onset more than 7 days prior to admission, 2,813 acute stroke patients registered in the Shiga Stroke Registry year 2011 were included in the final analysis. The Japanese Society of Nephrology equation was used to estimate GFR. Multivariable logistic regression was performed to analyze the association of eGFR with all-cause in-hospital death (modified Rankin Scale [mRS] 6), and at-discharge death/disability (mRS 2-6). Separate analyses were conducted within stroke subtypes.

resultsCompared to eGFR 60-89 mL/min/1.73 m

conclusionsOur study has ascertained that in acute stroke, particularly ischemic stroke, low eGFR was significantly associated with in-hospital death and at-discharge death/disability. Additionally, high eGFR was found to be associated with at-discharge death/disability.

Indexed as

Glomerular Filtration RateHospitalizationHospital MortalityAgedAged, 80 and overCreatinineFemaleHumansJapanLogistic ModelsMaleMiddle AgedOdds RatioPrevalencePrognosisRegistriesCreatinineGlomerular filtration rateMorbidityMortalityStroke

Identifiers

PMID29353826
PMCPMC6055039
OpenAlexW2794029240

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.