Evidence map›Paper›PMID 31077078›Full record

ArticleNeurocritical care2019

Common Data Elements for Unruptured Intracranial Aneurysm and Subarachnoid Hemorrhage Clinical Research: Recommendations from the Working Group on Long-Term Therapies.

George K C Wong, Janis J Daly, Denise H Rhoney, Joseph Broderick, Christopher Ogilvy, Y B Roos, Adnan Siddiqui, James Torner, Unruptured Intracranial Aneurysm and SAH CDE Project Investigators

Open access · greenAbstract readConsensus Development Conference, NIH
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 5 institutions in 4 countries.

George K C WongDepartment of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, N.T., Hong Kong. georgewong@surgery.cuhk.edu.hk.ORCID http://orcid.org/0000-0003-0548-9936
Janis J DalyDepartment of Neurology, University of Florida College of Medicine, Gainesville, FL, USA.
Denise H RhoneyUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, USA.
Joseph BroderickDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA.
Christopher OgilvyDivision of Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Y B RoosDepartment of Neurology, Academic Medical Center, Amsterdam, The Netherlands.
Adnan SiddiquiDepartment of Neurosurgery, University of Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
James TornerUniversity of Iowa College of Public Health, Iowa City, IA, USA.
Unruptured Intracranial Aneurysm and SAH CDE Project Investigators
Beth Israel Deaconess Medical Center · USChinese University of Hong Kong · HKUniversity of Iowa · USUniversity of North Carolina at Chapel Hill · USAmsterdam UMC Location University of Amsterdam · NL

Funding

Medical Research Council G1002605Medical Research Council G108/613NINDS NIH HHS HHSN271201200034C
6 · The paper itself

Abstract

objectivesThe goal for the long-term therapies (LTT) working group (WG) of the Unruptured Intracranial Aneurysm (UIA) and Subarachnoid Hemorrhage (SAH) common data elements (CDEs) was to develop a comprehensive set of CDEs, data definitions, case report forms, and guidelines for use in UIA and SAH LTT clinical research, as part of a new joint effort between the National Institute of Neurological Disorders and Stroke (NINDS) and the National Library of Medicine of the US National Institutes of Health. These UIA and SAH CDEs will join other neurological disease-specific CDEs already developed and available for use by research investigators.

methodsThe eight LTT WG members comprised international UIA, and SAH experts reviewed existing NINDS CDEs and instruments, created new elements when needed, and provided recommendations for future LTT clinical research. The recommendations were compiled, internally reviewed by the all UIA and SAH WGs and steering committee members. The NINDS CDE team also reviewed the final version before posting the SAH Version 1.0 CDE recommendations on the NINDS CDE website.

resultsThe NINDS UIA and SAH LTT CDEs and supporting documents are publicly available on the NINDS CDE ( https://www.commondataelements.ninds.nih.gov/#page=Default ) and NIH Repository ( https://cde.nlm.nih.gov/home ) websites. The subcommittee members discussed and reviewed various parameters, outcomes, and endpoints in UIA and SAH LTT studies. The following meetings with WG members, the LTT WG's recommendations are incorporated into the disease/injury-related events, assessments and examinations, and treatment/intervention data domains.

conclusionsNoting gaps in the literature regarding medication and rehabilitation parameters in UIA and SAH clinical studies, the current CDE recommendations aim to arouse interest to explore the impact of medication and rehabilitation treatments and therapies and encourage the convergence of LTT clinical study parameters to develop a harmonized standard.

Indexed as

Common Data ElementsAneurysm, RupturedBiomedical ResearchHumansIntracranial AneurysmNational Institute of Neurological Disorders and Stroke (U.S.)National Library of Medicine (U.S.)Outcome and Process Assessment, Health CareSubarachnoid HemorrhageUnited StatesCerebral aneurysmClinical researchCommon data elementsEndpointLong-term therapyMedicationOutcomeRehabilitationSubarachnoid Hemorrhage

Identifiers

PMID31077078
OpenAlexW2943842620

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.