Evidence map›Paper›PMID 29299753›Full record

ArticleNeurocritical care2018

Factors Associated with the Outcome of Very Elderly Patients with Large Hemispheric Infarction Treated with Medical Management Only.

Sudhir Datar, Christopher McLouth, Patrick Reynolds

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Article in Neurocritical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Sudhir DatarDepartment of Neurology, Section of Neurocritical Care, Wake Forest Baptist Medical Center, Medical Center Blvd, Winston-Salem, NC, 27157, USA. sdatar@wakehealth.edu.ORCID 0000-0002-3084-4699
Christopher McLouthDepartment of Biostatistics, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA.
Patrick ReynoldsDepartment of Neurology, Section of Stroke and Cerebrovascular Diseases, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge ischemic stroke in the very elderly population is presumed to invariably carry a poor prognosis and clinicians may refrain from continuing intensive care. Many elderly patients are not surgical candidates, and there is a paucity of data outlining the real-world outcomes of continued medical management. Our objective is to identify the factors associated with the outcome of very elderly patients with large hemispheric infarction (LHI) treated with medical management alone.

methodsWe performed a retrospective review of all consecutive adults ≥ 70 years of age with LHI identified from a single center stroke registry between 2012 and 2016. Mean volume of infarction was calculated using the ABC/2 method.

resultsOf a total of 2335 patients, 71 (mean age 81 ± 7 years,) met inclusion criteria. Forty-one were women (58%). Mean admission National Institute of Health Stroke Score (NIHSS) was 21 ± 6. Intravenous tPA was administered in 30 (42%) and 9 (13%) patients underwent thrombectomy. Mean infarct volume was 175 ± 75 cc. Twenty-seven patients (38%) survived to hospital discharge; 6 (9%) eventually went home (albeit with mRS 4) and one (1%) went to assisted living. Multivariate logistic regression analysis found that admission NIHSS ≥ 20 (p = 0.0007) and mechanical ventilation within 48 h of admission (p = 0.0396) were independently associated with poor outcome.

conclusionTen percent of medically managed patients (≥ 70 years of age) with LHI can go home or to assisted living, but with a mRS of 4. Whether this is an acceptable outcome must be individualized on a case-by-case basis; however, poor prognosis should not be automatically presumed solely based on the combination of older age and a large stroke.

Indexed as

Outcome Assessment, Health CareRegistriesAgedAged, 80 and overBrain InfarctionBrain IschemiaFemaleHumansMaleRetrospective StudiesStrokeCerebral edemaHerniationLarge hemispheric infarctionMalignant ischemic strokeMalignant MCA stroke

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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.