Evidence map›Paper›PMID 31077079›Full record

ArticleNeurocritical care2019

Common Data Elements for Subarachnoid Hemorrhage and Unruptured Intracranial Aneurysms: Recommendations from the Working Group on Subject Characteristics.

Philippe Bijlenga, Akio Morita, Nerissa U Ko, J Mocco, Sandrine Morel, Yuichi Murayama, Marieke J H Wermer, Robert D Brown, Unruptured Cerebral Aneurysms and SAH CDE Project Investigators

Abstract 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 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Outcomes Measures in Subarachnoid Hemorrhage Research.Translational stroke research · 2025
    Review
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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.

Philippe BijlengaNeurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University, Rue Gabrielle-Perret-Gentil 4, 1211, Geneva 14, Switzerland. philippe.bijlenga@hcuge.ch.ORCID http://orcid.org/0000-0003-0548-9936
Akio MoritaDepartment of Neurological Surgery, Nippon Medical School, Tokyo, Japan.
Nerissa U KoDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA.
J MoccoDepartment of Neurosurgery, Mount Sinai Health System, New York, NY, USA.
Sandrine MorelNeurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University, Rue Gabrielle-Perret-Gentil 4, 1211, Geneva 14, Switzerland.
Yuichi MurayamaDepartment of Neurosurgery, The Jikei University School of Medicine, Minato, Tokyo, Japan.
Marieke J H WermerDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Robert D BrownMayo Clinic, Rochester, MN, USA.
Unruptured Cerebral Aneurysms and SAH CDE Project Investigators

Funding

Medical Research Council G1002605NINDS NIH HHS HHSN271201200034C
6 · The paper itself

Abstract

backgroundThe National Institute of Neurological Disorders and Stroke (NINDS) Common Data Elements (CDEs) have been generated to standardize and define terms used by the scientific community. The widespread use of these CDEs promotes harmonized data collection in clinical research. The aim of the NINDS Unruptured Intracranial Aneurysms (UIA) and Subarachnoid Hemorrhage (SAH), and Subject Characteristics working group (WG) was to identify, define, and classify CDEs describing the characteristics of patients diagnosed with an UIA and SAH. Thus, "Participant/Subject characteristics" is a set of factors defining a population of selected individuals and allowing comparisons with a reference population and overtime.

methodsBased on standard terms defined by the United States' Census Bureau, CDEs previously defined by several (Stroke, Epilepsy and Traumatic Brain Injury) NINDS CDE working groups literature and expert opinion of the WG, the "Participant/Subject characteristics" domain has been defined.

resultsA set of 192 CDEs divided in 7 subsections: demographics (8 CDEs), social status (8 CDEs), behavioral status (22 CDEs), family and medical history (144 CDEs), pregnancy and perinatal history (8 CDEs), history data source reliability (3 CDEs), and prior functional status (3 CDEs) was defined. SAH is characterized by 6 core elements, all classified in the "Participant/Subject characteristics" domain. Four exploratory elements out of the 39 for SAH overall are in the "Participant/Subject characteristics" domain, and all remaining 182 CDEs in the "Participant/Subject characteristics" domain are classified as Supplemental-Highly Recommended elements.

conclusionsThese CDEs would allow the development of best practice guidelines to standardize the assessment and reporting of observations concerning UIA and SAH.

Indexed as

Common Data ElementsIntracranial AneurysmResearch SubjectsSubarachnoid HemorrhageAlcohol DrinkingBiomedical ResearchComorbidityEconomic StatusEducational StatusEmploymentEnvironmental ExposureEthnicityExerciseHumansNational Institute of Neurological Disorders and Stroke (U.S.)National Library of Medicine (U.S.)Common Data ElementsIntracranial aneurysmParticipant/Subject characteristicsSubarachnoid Hemorrhage

Identifiers

PMID31077079

What OpenQuestion holds

Textmetadata
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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.