Evidence map›Paper›PMID 28760409›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2017

Development and Reliability of a User-Friendly Multicenter Phenotyping Application for Hemorrhagic and Ischemic Stroke.

Mayowa Owolabi, Godwin Ogbole, Rufus Akinyemi, Kehinde Salaam, Onoja Akpa, Pattanasak Mongkolwat, Adeleye Omisore, Atinuke Agunloye, Richard Efidi, Joseph Odo and 31 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic review of novel technology-based interventions for ischemic stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  2. Article
  3. Review
  4. Brain Magnetic Resonance Imaging and Angiography in Children with Sickle Cell Anaemia in Uganda in a Cross-Sectional Sample.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
    Article
  5. Article
  6. Review
  7. Article
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  11. Review
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

41 authors.

Mayowa OwolabiUniversity of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
Godwin OgboleUniversity of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria. Electronic address: gogbole@yahoo.com.
Rufus AkinyemiUniversity of Ibadan, Nigeria.
Kehinde SalaamUniversity of Ibadan, Nigeria.
Onoja AkpaUniversity of Ibadan, Nigeria.
Pattanasak MongkolwatMahidol University, Thailand.
Adeleye OmisoreObafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria.
Atinuke AgunloyeUniversity of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
Richard EfidiUniversity College Hospital, Ibadan, Nigeria.
Joseph OdoUniversity College Hospital, Ibadan, Nigeria.
Akintomiwa MakanjuolaUniversity College Hospital, Ibadan, Nigeria.
Albert AkpaluUniversity of Ghana Medical School, Accra, Ghana.
Fred SarfoKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Lukman OwolabiAminu Kano University Teaching Hospital, Kano, Nigeria.
Reginald ObiakoAhmadu Bello University Teaching Hospital, Zaria, Nigeria.
Kolawole WahabUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Emmanuel SanyaUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Philip AdebayoLadoke Akintola University Teaching Hospital, Ogbomosho, Nigeria.
Morenikeji KomolafeObafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria.
Abiodun Moshood AdeoyeUniversity College Hospital, Ibadan, Nigeria.
Michael B FawaleDepartment of Medicine, Obafemi Awolowo University, Nigeria.
Joshua AkinyemiUniversity of Ibadan, Nigeria.
Godwin OsaigbovoJos University Teaching Hospital, Jos, Nigeria.
Taofiki SunmonuFederal Medical Centre, Owo, Nigeria.
Paul OlowoyoFederal University Teaching Hospital Ido-Ekiti, Nigeria.
Innocent ChukwuonyeFederal Medical Centre, Umuahia, Nigeria.
Yahaya ObiaboDelta State University Teaching Hospital, Oghara, Nigeria.
Philip IbinaiyeAhmadu Bello University Teaching Hospital, Zaria, Nigeria.
Abdul DambattaAminu Kano University Teaching Hospital, Kano, Nigeria.
Yaw MensahUniversity of Ghana Medical School, Accra, Ghana.
Salaam AbdulJos University Teaching Hospital, Jos, Nigeria.
Eunice OlabinriFederal University Teaching Hospital Ido-Ekiti, Nigeria.
Joyce IkuborDelta State University Teaching Hospital, Oghara, Nigeria.
Olalekan OyinloyeUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Femi OdunlamiFederal Medical Centre, Abeokuta, Nigeria; Sacred Heart Hospital, Abeokuta, Nigeria.
Ezinne MelikamUniversity of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
Raelle SaulsonMedical University of South Carolina, Charleston, South Carolina.
Philip KoloUniversity of Ilorin Teaching Hospital, Ilorin, Nigeria.
Adesola OgunniyiUniversity of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
Bruce OvbiageleMedical University of South Carolina, Charleston, South Carolina.
SIREN Team

Funding

Stroke Investigative Research & Educational Network (SIREN)U54HG007479 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2013 to 2017
$4.2M
Improving neurologic outcome measurement for interventional research in IbadanR25NS080949 · NINDS · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI EPSTEIN, LEON G, OGUNNIYI, ADESOLA · 2012 to 2014
$811k
NHGRI NIH HHS U54 HG007479NINDS NIH HHS R25 NS080949
6 · The paper itself

Abstract

backgroundAnnotation and Image Markup on ClearCanvas Enriched Stroke-phenotyping Software (ACCESS) is a novel stand-alone computer software application that allows the creation of simple standardized annotations for reporting brain images of all stroke types. We developed the ACCESS application and determined its inter-rater and intra-rater reliability in the Stroke Investigative Research and Educational Network (SIREN) study to assess its suitability for multicenter studies.

methodsOne hundred randomly selected stroke imaging reports from 5 SIREN sites were re-evaluated by 4 trained independent raters to determine the inter-rater reliability of the ACCESS (version 12.0) software for stroke phenotyping. To determine intra-rater reliability, 6 raters reviewed the same cases previously reported by them after a month of interval. Ischemic stroke was classified using the Oxfordshire Community Stroke Project (OCSP), Trial of Org 10172 in Acute Stroke Treatment (TOAST), and Atherosclerosis, Small-vessel disease, Cardiac source, Other cause (ASCO) protocols, while hemorrhagic stroke was classified using the Structural lesion, Medication, Amyloid angiopathy, Systemic disease, Hypertensive angiopathy and Undetermined (SMASH-U) protocol in ACCESS. Agreement among raters was measured with Cohen's kappa statistics.

resultsFor primary stroke type, inter-rater agreement was .98 (95% confidence interval [CI], .94-1.00), while intra-rater agreement was 1.00 (95% CI, 1.00). For OCSP subtypes, inter-rater agreement was .97 (95% CI, .92-1.00) for the partial anterior circulation infarcts, .92 (95% CI, .76-1.00) for the total anterior circulation infarcts, and excellent for both lacunar infarcts and posterior circulation infarcts. Intra-rater agreement was .97 (.90-1.00), while inter-rater agreement was .93 (95% CI, .84-1.00) for TOAST subtypes. Inter-rater agreement ranged between .78 (cardioembolic) and .91 (large artery atherosclerotic) for ASCO subtypes and was .80 (95% CI, .56-1.00) for SMASH-U subtypes.

conclusionThe ACCESS application facilitates a concordant and reproducible classification of stroke subtypes by multiple investigators, making it suitable for clinical use and multicenter research.

Indexed as

PhenotypeBrainBrain IschemiaElectrocardiographyFemaleHemorrhageHumansMagnetic Resonance ImagingMaleRandom AllocationReproducibility of ResultsStrokeTomography, X-Ray ComputedUltrasonography, DopplerAfricadeveloping countryDICOM applicationischemic strokephenotypingreporting software intracerebral hemorrhageStroke

Identifiers

PMID28760409
PMCPMC5624839

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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.