Evidence map›Paper›PMID 38295353›Full record

Observational studyNeurology2024

Frequency of Intubation for Medicare Beneficiaries With Acute Stroke and Association With Patient Outcomes.

Laura G Burke, Corey R Fehnel, Ryan C Burke, Endel J Orav, Louis R Caplan, Jonathan Edlow, Sandeep Kumar

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Laura G BurkeFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0001-6365-0869
Corey R FehnelFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0003-1726-5809
Ryan C BurkeFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0001-5327-5735
Endel J OravFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0002-8886-7252
Louis R CaplanFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0002-7507-9521
Jonathan EdlowFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0001-6855-0912
Sandeep KumarFrom the Department of Emergency Medicine (L.G.B., R.C.B., J.E.); Department of Neurology (C.R.F., L.R.C., S.K.), Beth Israel Deaconess Medical Center and Harvard Medical School; Division of General Internal Medicine (E.J.O.), Brigham and Women's Hospital; and The Harvard T.H. Chan School of Public Health in Boston (L.G.B., J.E.), MA.ORCID 0000-0003-0861-5707
Brigham and Women's Hospital · USBeth Israel Deaconess Medical Center · US

Funding

Intensive Palliative Care: Improving the Process of Palliative Ventilator Withdrawal Among Critically Ill Older AdultsK23AG066929 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI FEHNEL, COREY R · 2020 to 2024
$972k
The Clinical Course and Outcomes of Older Stroke Patients with Feeding TubesR03AG060186 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI FEHNEL, COREY R · 2018 to 2019
$245k
NIA NIH HHS K23 AG066929NIA NIH HHS R03 AG060186
6 · The paper itself

Abstract

BACKGROUND AND

objectivesIntubation for acute stroke is common in the United States, with few established guidelines.

methodsThis is a retrospective observational study of acute stroke admissions from 2011 to 2018 among fee-for-service Medicare beneficiaries aged 65-100 years. Patient demographics and chronic conditions as well as hospital characteristics were identified. We identified patient intubation, stroke subtype (ischemic vs intracerebral hemorrhage), and thrombectomy. Factors associated with intubation were identified by a linear probability model with intubation as the outcome and patient characteristics, stroke subtype, and thrombectomy as predictors, adjusting for within-hospital correlation. We compared hospital characteristics between adjusted intubation rate quartiles. We specified a linear probability model with 30-day mortality as the patient-level outcome and hospital intubation rate quartile as the categorical predictor, again adjusting for patient characteristics. We specified an analogous model for quartiles of hospital referral regions.

resultsThere were 800,467 stroke hospitalizations at 3,581 hospitals. Among 2,588 hospitals with 25 or more stroke hospitalizations, the median intubation rate was 4.8%, while a quarter had intubation rates below 2.4% and 10% had rates above 12.5%. Ischemic strokes had a 21% lower adjusted intubation risk than intracerebral hemorrhages (risk difference [RD] -21.1%, 95% CI -21.3% to -20.9%; DISCUSSION: Intubation for acute stroke varied by patient and hospital characteristics. Hospitals with higher adjusted rates of intubation had higher patient-level 30-day mortality, but much of the difference may be due to unmeasured patient severity given that no such association was observed for health care markets.

Indexed as

MedicareStrokeAgedFemaleHospitalizationHospitals, TeachingHumansIntubationRetrospective StudiesUnited States

Identifiers

PMID38295353
PMCPMC12345130
OpenAlexW4391381010

What OpenQuestion holds

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Registered trials

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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.