Evidence map›Paper›PMID 35006127›Full record

ArticleJournal of the Chinese Medical Association : JCMA2022

Application of hyperglycemia/diabetes-derived polygenic risk scores on the risk of poor outcomes after an ischemic stroke.

Yu-Lun Chen, Nai-Fang Chi, Hung-Yi Chiou, Chaur-Jong Hu, Jiann-Shing Jeng, Sung-Chun Tang, Huey-Juan Lin, Yi-Chen Hsieh, Formosa Stroke Genetic Consortium

Open access · greenAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. The impact of hyperlipidemia and carotid atherosclerosis.Journal of the Chinese Medical Association : JCMA · 2023
    Article
  2. Review
  3. To do one and to get more: Part I. Diabetes and bone.Journal of the Chinese Medical Association : JCMA · 2022
    Review
  4. Dipeptidyl peptidase-4 inhibitors and osteoporosis.Journal of the Chinese Medical Association : JCMA · 2022
    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

9 authors at 5 institutions in 1 country.

Yu-Lun ChenSchool of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan, ROC.
Nai-Fang ChiDepartment of Neurology, Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Hung-Yi ChiouSchool of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan, ROC.
Chaur-Jong HuDepartment of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.
Jiann-Shing JengStroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan, ROC.
Sung-Chun TangStroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan, ROC.
Huey-Juan LinDepartment of Neurology, Chi-Mei Medical Center, Tainan, Taiwan, ROC.
Yi-Chen HsiehPhD Program of Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, ROC.
Formosa Stroke Genetic Consortium
Taipei Medical University · TWNational Taiwan University Hospital · TWChi Mei Medical Center · TWNational Health Research Institutes · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnfavorable prognoses are often accompanied for hyperglycemic stroke patients. This study aimed to construct a hyperglycemia/diabetes-derived polygenic risk score (PRS) to improve the predictive performance for poor outcome risks after a stroke and to evaluate its potential clinical application.

methodsA hospital-based cohort study was conducted including 1320 first-ever acute ischemic stroke (AIS) patients and 1210 patients who completed the follow-up at 3 months. PRSs were calculated for hyperglycemia/diabetes mellitus using results from genome-wide association studies in Asians. An unfavorable functional outcome was defined as a modified Rankin Scale score of ≥3 at 3, 6, and 12 months of follow-up. The prediction of a poor prognosis was evaluated using measures of model discrimination, calibration, and net reclassification improvement (NRI).

resultsThe second to fourth PRS quartiles (≥Q2) were significantly associated with higher risks of unfavorable outcomes at 3 months compared with the first quartile as the reference group after adjusting for age, baseline stroke severity, hypertension, diabetes, dyslipidemia, smoking, heart disease, and ischemic stroke subtype (p for trend <0.0001). The addition of the PRS to traditional risk predictors of poor outcomes after an AIS significantly improved the model fit (likelihood ratio test p < 0.0001) and enhanced measures of reclassification (NRI, 0.245; 95% confidence interval [CI], 0.195-0.596). The corrected C-index for the PRS combining traditional risk factors at 3 months after a stroke was 0.899 (95% CI, 0.878-0.980). Among hyperglycemic AIS patients, those who did not take an antidiabetic drug and whose PRS was ≥Q2 had higher risks of an unfavorable outcome at 3 months compared with patients who took the medicine.

conclusionThe hyperglycemia/diabetes-derived PRS was associated with poor outcomes after an AIS, but further studies are needed to validate its use for clinical applications.

Indexed as

Diabetes MellitusHyperglycemiaIschemic StrokeMultifactorial InheritanceOutcome Assessment, Health CareAgedAged, 80 and overCohort StudiesFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPrognosisRisk Factors

Identifiers

PMID35006127
PMCPMC12755599
OpenAlexW3216241467

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.