Evidence map›Paper›PMID 37961532›Full record

ArticleResearch square2023

Ho-Joon Lee, Lee H Schwamm, Lauren Sansing, Hooman Kamel, Adam de Havenon, Ashby C Turner, Kevin N Sheth, Smita Krishnaswamy, Cynthia Brandt, Hongyu Zhao and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 2023. 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Ho-Joon LeeDepartment of Genetics and Yale Center for Genome Analysis, Yale School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0003-3616-5387
Lee H SchwammDepartment of Neurology and Comprehensive Stroke Center, Massachusetts General Hospital and Harvard Medical School Boston, MA.ORCID https://orcid.org/0000-0003-0592-9145
Lauren SansingDepartment of Neurology, Yale School of Medicine, New Haven, CT.
Hooman KamelDepartment of Neurology, Weill Cornell Medicine, New York City, NY.
Adam de HavenonDepartment of Neurology, Yale School of Medicine, New Haven, CT.
Ashby C TurnerDepartment of Neurology and Comprehensive Stroke Center, Massachusetts General Hospital and Harvard Medical School Boston, MA.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0003-2003-5473
Smita KrishnaswamyDepartments of Genetics and Computer Science, Yale School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0001-5823-1985
Cynthia BrandtDepartment of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT.
Hongyu ZhaoDepartments of Biostatistics, Yale School of Public Health, New Haven, CT.ORCID https://orcid.org/0000-0003-1195-9607
Harlan KrumholzDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.ORCID https://orcid.org/0000-0003-2046-127X
Richa SharmaDepartment of Neurology, Yale School of Medicine, New Haven, CT.

Funding

Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
Discovery and analysis of the C. elegans neuronal gene expression network (CENGEN)R01NS100547 · NINDS · YALE UNIVERSITY · PI MARC HAMMARLUND, Oliver Hobert · 2017 to 2026
$11.2M
Social networks and risk of delayed arrival to the hospital during strokeR01MD016178 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Amar Dhand, Kevin Navin Sheth · 2022 to 2026
$3.7M
The Recovery in Stroke Using PAP (RISE UP) StudyR01NR018335 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, SHETH, KEVIN NAVIN · 2019 to 2023
$3.4M
New England Regional Coordinating Center for the NINDS Stroke Trials Network (StrokeNet)U24NS107243 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ANEESH B SINGHAL · 2018 to 2026
$3.3M
Southern New England Partnership In Stroke Research, Innovation and Treatment (SPIRIT)U24NS107215 · NINDS · YALE UNIVERSITY · PI MARK Jay ALBERTS, Karen L Furie · 2018 to 2026
$3.0M
Deciphering the regulatory code that specifies different cell fates in development using single cell genomicsR01HD100035 · NICHD · YALE UNIVERSITY · PI GIRALDEZ, ANTONIO J, KRISHNASWAMY, SMITA · 2020 to 2024
$2.8M
Dynamic Neuroimmune Profiling in Patients with Acute Intracerebral HemorrhageR01NS097728 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2016 to 2020
$2.8M
The Impact of Telestroke on Patterns of Care and Long-Term OutcomesR01NS111952 · NINDS · HARVARD MEDICAL SCHOOL · PI MEHROTRA, ATEEV · 2019 to 2023
$2.4M
Blood Pressure Variability and Ischemic Stroke Outcome (BP-VISO)R01NS130189 · NINDS · YALE UNIVERSITY · PI Adam H. de Havenon · 2023 to 2026
$2.0M
Deciphering Genetic and Epigenetic Regulatory Logic of Germ Layer Differentiation with Manifold LearningR01GM130847 · NIGMS · YALE UNIVERSITY · PI KRISHNASWAMY, SMITA · 2019 to 2023
$2.0M
Y-SPAN: Yale Translational Cerebroprotection Program in SPANU01NS130585 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2023 to 2025
$1.9M
NICHD NIH HHS R01 HD100035NIGMS NIH HHS R01 GM130847NIMHD NIH HHS R01 MD016178NINDS NIH HHS K23 NS105924NINDS NIH HHS K23 NS121634NINDS NIH HHS R01 NS095993NINDS NIH HHS R01 NS097728NINDS NIH HHS R01 NS100547NINDS NIH HHS R01 NS111952NINDS NIH HHS R01 NS130189NINDS NIH HHS R03 NS112859NINDS NIH HHS R21 NS108060NINDS NIH HHS R21 NS132543NINDS NIH HHS U01 NS106513NINDS NIH HHS U01 NS130585NINDS NIH HHS U24 NS107136NINDS NIH HHS U24 NS107215NINDS NIH HHS U24 NS107243NINR NIH HHS R01 NR018335
6 · The paper itself

Abstract

Determining the etiology of an acute ischemic stroke (AIS) is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification machine intelligence tool,

Identifiers

PMID37961532
PMCPMC10635373

What OpenQuestion holds

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LicenceCC BY
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.