Evidence map›Paper›PMID 32549941›Full record

ArticleThe Neurohospitalist2020

Vascular Neurologists' Involvement in the Care of Medicare Patients With Ischemic Stroke.

Daniel C Sacchetti, Ajay Gupta, Caroline D Chung, Abhinaba Chatterjee, Yi Zhang, Babak B Navi, Alan Z Segal, Hooman Kamel

Open access · bronzeAbstract read
In one paragraph

Article in The Neurohospitalist, 2020. 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
0.3field-weighted citation impact, top 42% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. What's the Future of Vascular Neurology?Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023
    Review
  4. 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

8 authors at 2 institutions in 1 country.

Daniel C SacchettiClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.ORCID https://orcid.org/0000-0001-7207-5640
Ajay GuptaClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Caroline D ChungClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Abhinaba ChatterjeeClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Yi ZhangClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Babak B NaviClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Alan Z SegalClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Hooman KamelClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.ORCID https://orcid.org/0000-0002-5745-0307
Cornell University · USMIND Research Institute · US

Funding

AtRial Cardiopathy and Antithrombotic Drugs In prevention After cryptogenicstroke (ARCADIA)U01NS095869 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRODERICK, JOSEPH PAUL, KAMEL, HOOMAN · 2017 to 2022
$22.0M
Left Atrial abNormality, ThromboEmbolism, and Race: Novel risk factors for stroke (LANTERN)R01NS097443 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2016 to 2019
$1.5M
Cancer And Risk Of Ischemic StrokeK23NS091395 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAVI, BABAK BENJAMIN · 2015 to 2019
$945k
Atrial Fibrillation Precursors May Be Novel Stroke Risk FactorsK23NS082367 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2013 to 2017
$937k
NINDS NIH HHS K23 NS082367NINDS NIH HHS K23 NS091395NINDS NIH HHS R01 NS097443NINDS NIH HHS U01 NS095869
6 · The paper itself

Abstract

background and purposeWe sought to determine the proportion of patients with ischemic stroke evaluated by vascular neurologists in the United States.

methodsUsing 2009 to 2015 claims from a 5% nationally representative sample of Medicare beneficiaries, we identified patients ≥65 years of age who were hospitalized for ischemic stroke. We ascertained the proportion of patients evaluated during the hospitalization or within 90 days of discharge by nonvascular and vascular neurologists. We assessed the relationship between county-level socioeconomic status and the likelihood of neurologist evaluation and between neurologist evaluation and diagnostic testing.

resultsAmong 66 989 patients with ischemic stroke, 37 820 (56.5%) were evaluated by a nonvascular neurologist and 11 700 (17.5%) by a board-certified vascular neurologist. Across increasing quartiles of county socioeconomic advantage, the proportion of patients evaluated by a vascular neurologist was 12.2%, 16.5%, 19.8%, and 23.0%. Relative to evaluation by a nonvascular neurologist, evaluation by a vascular neurologist was associated with a higher likelihood of postdischarge heart rhythm monitoring (odds ratio [OR], 1.8; 95% confidence interval [CI], 1.6-1.9), echocardiography (OR, 1.4; 95% CI, 1.3-1.4), cervical vessel imaging (OR, 1.3; 95% CI, 1.2-1.3), and intracranial vessel imaging (OR, 2.1; 95% CI, 2.0-2.2).

conclusionsIn a nationally representative cohort of Medicare beneficiaries, we found that about three quarters of patients with ischemic stroke were evaluated by a neurologist, and about one-sixth were evaluated by a vascular neurologist. Patients who were evaluated by a vascular neurologist were significantly more likely to undergo diagnostic testing.

Indexed as

cerebrovascular diseaseneurohospitaliststroke

Identifiers

PMID32549941
PMCPMC7271626
OpenAlexW3005954596

What OpenQuestion holds

Textmetadata
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.