Evidence map›Paper›PMID 26032887›Full record

ArticleNeuroImage2016

The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository.

David D Shin, I Burak Ozyurt, Gregory G Brown, Christine Fennema-Notestine, Thomas T Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

David D ShinCenter for Functional Magnetic Resonance Imaging, University of California San Diego, La Jolla, CA, USA. Electronic address: ddshin@ucsd.edu.
I Burak OzyurtDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Gregory G BrownDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Thomas T LiuCenter for Functional Magnetic Resonance Imaging, University of California San Diego, La Jolla, CA, USA. Electronic address: ttliu@ucsd.edu.

Funding

Federated Database, Protocols, and Tools for Arterial Spin Labeling CBF MeasuresR01MH084796 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LIU, THOMAS T · 2009 to 2013
$1.9M
NIMH NIH HHS R01 MH084796NIMH NIH HHS R01MH084796OCPHP CDC HHS U24-PR021992
6 · The paper itself

Abstract

Arterial spin labeling (ASL) MRI provides an accurate and reliable measure of cerebral blood flow (CBF). A rapidly growing number of CBF measures are being collected both in clinical and research settings around the world, resulting in a large volume of data across a wide spectrum of study populations and health conditions. Here, we describe a central CBF data repository with integrated processing workflows, referred to as the Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN). The CBFBIRN provides an integrated framework for the analysis and comparison of CBF measures across studies and sites. In this work, we introduce the main capabilities of the CBFBIRN (data storage, processing, and sharing), describe what types of data are available, explain how users can contribute to the data repository and access existing data from it, and discuss our long-term plans for the CBFBIRN.

Indexed as

Cerebrovascular CirculationDatabases, FactualInformation DisseminationMedical InformaticsHumansMagnetic Resonance AngiographyNeuroimagingSpin LabelsSpin Labels

Identifiers

PMID26032887
PMCPMC4651708

What OpenQuestion holds

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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.