Evidence map›Paper›PMID 39961073›Full record

ArticleNeurology2025

Quantifying Brain Health in Acute Ischemic Stroke Through Effective Reserve.

Markus D Schirmer, Kenda Alhadid, Robert W Regenhardt, Natalia S Rost

Abstract read
In one paragraph

Article in Neurology, 2025. 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
–field-weighted citation impact
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

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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.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Markus D SchirmerFrom the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0000-0001-9561-0239
Kenda AlhadidFrom the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0000-0001-7582-4862
Robert W RegenhardtFrom the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0000-0003-2958-3484
Natalia S RostFrom the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0000-0002-7056-8561

Funding

ERIS - Effective Reserve In StrokeR21AG083559 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SCHIRMER, MARKUS D · 2023 to 2023
$454k
NIA NIH HHS R21 AG083559
6 · The paper itself

Abstract

objectiveTo quantify brain health using a measure of reserve that incorporates pre-existing pathology.

methodsWe analyzed 2 retrospective ischemic stroke cohorts (GASROS and SALVO) with neuroimaging and 90-day modified Rankin Scores (mRS) available. White matter hyperintensity (WMHv), brain, and intracranial volumes were automatically extracted and brain parenchymal fraction (BPF) calculated. The latent variable effective reserve (eR) was modeled using age, WMHv, and BPF or brain volume in GASROS. Models were compared using Bayes Information Criterion (BIC). The best model's eR estimates were categorized into quartiles and evaluated in SALVO.

resultsGASROS included 476 (median age: 65.8; 65.3% male) and SALVO included 43 (median age: 69.2; 62.8% male) patients. Inverse associations between eR and mRS was seen in both models, with brain volume outperforming BPF (path coefficients: -0.67, -0.48, respectively; DISCUSSION: Expanding the concept of eR, highlights its clinical translational potential. The strong link between higher eR and better outcomes underscores its value as a protective brain health metric.

Indexed as

BrainIschemic StrokeAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingRetrospective StudiesWhite Matter

Identifiers

PMID39961073
PMCPMC11837846

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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.