Evidence map›Paper›PMID 37345809›Full record

Observational studyJournal of the American Heart Association2023

Hyperglycemia, Ischemic Lesions, and Functional Outcomes After Intracerebral Hemorrhage.

Jay B Lusk, Anna Covington, Li Liu, Daniel P Weikel, Yi-Ju Li, Padmini Sekar, Stacie L Demel, Yasmin N Aziz, Chelsea S Kidwell, Daniel Woo and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-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

9 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Jay B LuskDepartment of Neurology, Duke University School of Medicine Durham NC USA.ORCID 0000-0002-5728-8872
Anna CovingtonDepartment of Neurology, Duke University School of Medicine Durham NC USA.ORCID 0000-0002-4125-5953
Li LiuDepartment of Neurology PLA Strategic Support Force Characteristic Medical Center Beijing P.R. China.ORCID 0000-0002-7367-4423
Daniel P WeikelDepartment of Anesthesiology Duke University School of Medicine Durham NC USA.
Yi-Ju LiDepartment of Biostatistics and Bioinformatics Duke University School of Medicine Durham NC USA.ORCID 0000-0001-6996-4834
Padmini SekarDepartment of Neurology and Rehabilitation Medicine University of Cincinnati College of Medicine Cincinnati OH USA.ORCID 0000-0002-3734-5075
Stacie L DemelDepartment of Neurology and Rehabilitation Medicine University of Cincinnati College of Medicine Cincinnati OH USA.ORCID 0000-0002-3000-8420
Yasmin N AzizDepartment of Neurology and Rehabilitation Medicine University of Cincinnati College of Medicine Cincinnati OH USA.ORCID 0000-0002-3515-4005
Chelsea S KidwellDepartment of Neurology University of Arizona College of Medicine Tucson AZ USA.
Daniel WooDepartment of Neurology and Rehabilitation Medicine University of Cincinnati College of Medicine Cincinnati OH USA.ORCID 0000-0002-2466-7155
Michael L JamesDepartments of Neurology and Anesthesiology Duke University School of Medicine Durham NC USA.ORCID 0000-0002-8715-5210
Duke University · USUniversity of Cincinnati Medical Center · USChinese PLA General Hospital · CNUniversity of Arizona · US

Funding

Ethnic/Racial Variation in Intracerebral Hemorrhage (ERICH)U01NS069763 · NINDS · UNIVERSITY OF CINCINNATI · PI ANDERSON, CHRISTOPHER DAVID, DEMEL, STACIE · 2010 to 2024
$34.2M
NINDS NIH HHS U01 NS069763
6 · The paper itself

Abstract

Background Ischemic lesions observed on diffusion-weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and functional outcomes after ICH. Methods and Results This was a retrospective observational analysis of 1167 patients who received magnetic resonance imaging in the ERICH (Ethnic and Racial Variations in Intracerebral Hemorrhage) study. A machine learning strategy using the elastic net regularization and selection procedure was used to perform automated variable selection to identify final multivariable logistic regression models. Sensitivity analyses with alternative model development strategies were performed, and predictive performance was compared. After covariate adjustment, white matter hyperintensity score, leukocyte count on admission, and non-Hispanic Black race (compared with non-Hispanic White race) were associated with the presence of DWI lesions. History of ICH and ischemic stroke, presence of DWI lesions, deep ICH location (versus lobar), ICH volume, age, lower Glasgow Coma Score on admission, and medical history of diabetes were associated with poor 6-month modified Rankin Scale outcome (4-6) after covariate adjustment. Inclusion of interactions between race and ethnicity and variables included in the final multivariable model for functional outcome improved model performance; a significant interaction between race and ethnicity and medical history of diabetes and serum blood glucose on admission was observed. Conclusions No measure of hyperglycemia or diabetes was associated with presence of DWI lesions. However, both medical history of diabetes and presence of DWI lesions were independently associated with poor functional outcomes after ICH.

Indexed as

Cerebral HemorrhageHyperglycemiaBlack or African AmericanBrain IschemiaDiffusion Magnetic Resonance ImagingEthnicityHumansRecovery of FunctionRetrospective StudiesWhitediabetesdiffusion‐weighted imagingfunctional outcomehyperglycemiaintracranial hemorrhagepredictive modelsrace and ethnicity

Identifiers

PMID37345809
PMCPMC10356065
OpenAlexW4381598535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.