Evidence map›Paper›PMID 31439493›Full record

ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2020

Common Data Elements for National Institute of Mental Health-Funded Translational Early Psychosis Research.

Dost Öngür, Cameron S Carter, Raquel E Gur, Diana Perkins, Akira Sawa, Larry J Seidman, Carol Tamminga, Wayne Huggins, Carol Hamilton

Abstract readReview
In one paragraph

Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Dost ÖngürDepartment of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, Massachusetts. Electronic address: dongur@partners.org.
Cameron S CarterDepartment of Psychiatry, University of California, Davis, Davis, California.
Raquel E GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania.
Diana PerkinsDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina.
Akira SawaDepartment of Psychiatry, The Johns Hopkins University, Baltimore, Maryland.
Larry J SeidmanDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Carol TammingaDepartment of Psychiatry, University of Texas Southwestern Medical School, Dallas, Texas.
Wayne HugginsRTI International, Research Triangle Park, North Carolina.
Carol HamiltonRTI International, Research Triangle Park, North Carolina.

Funding

Genomic Resource Grant for the PhenX Toolkit - expansion and sustainabilityPhenX Supplement for COVID-19 ResearchU41HG007050 · NHGRI · RESEARCH TRIANGLE INSTITUTE · PI HAMILTON, CAROL MARIE · 2013 to 2022
$21.2M
Project 3P50MH094268 · NIMH · JOHNS HOPKINS UNIVERSITY · PI SAWA, AKIRA · 2011 to 2020
$19.9M
NHGRI NIH HHS U41 HG007050NIMH NIH HHS P50 MH094268
6 · The paper itself

Abstract

The National Institutes of Health has established the PhenX Toolkit as a web-based resource containing consensus measures freely available to the research community. The National Institute of Mental Health (NIMH) has introduced the Mental Health Research Core Collection as part of the PhenX Toolkit and recently convened the PhenX Early Psychosis Working Group to generate the PhenX Early Psychosis Specialty Collection. The Working Group consisted of two complementary panels for clinical and translational research. We review the process, deliberations, and products of the translational research panel. The Early Psychosis Specialty Collection rationale for measure selection as well as additional information and protocols for obtaining each measure are available on the PhenX website (https://www.phenxtoolkit.org). The NIMH strongly encourages investigators to use instruments from the PhenX Mental Health Research Collections in NIMH-funded studies and discourages use of alternative measures to collect similar data without justification. We also discuss some of the potential advances that can be achieved by collecting common data elements across large-scale longitudinal studies of early psychosis.

Indexed as

Biological PsychiatryCommon Data ElementsPsychotic DisordersTranslational Research, BiomedicalCongresses as TopicHumansInformation DisseminationNational Institute of Mental Health (U.S.)Research DesignUnited StatesCognitionData elementEarly psychosisNeuroimagingPhenXSchizophrenia

Identifiers

PMID31439493
PMCPMC6935432

What OpenQuestion holds

Textmetadata
LicenceTDM
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.