Evidence map›Paper›PMID 36469202›Full record

ReviewCurrent psychiatry reports2022

Translating Big Data to Clinical Outcomes in Anxiety: Potential for Multimodal Integration.

Parmis Khosravi, André Zugman, Paia Amelio, Anderson M Winkler, Daniel S Pine

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current psychiatry reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Parmis KhosraviSection on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, Bethesda, USA. parmis.khosravi@nih.gov.
André ZugmanSection on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, Bethesda, USA.
Paia AmelioSection on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, Bethesda, USA.
Anderson M WinklerSection on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, Bethesda, USA.
Daniel S PineSection on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, MD, Bethesda, USA.
National Institutes of Health · USNational Institute of Mental Health · US

Funding

fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
Fmri Studies Of Risk For Mood And Anxiety Disorders In ChildrenZIAMH002782 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$28.3M
fMRI Study Of Risk Of Mood/Anxiety Disorders In ChildrenZ01MH002782 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2002 to 2008
$1.7M
Fmri Studies Of Pediatric Mood And Anxiety DisordersZ01MH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2002 to 2008
$1.5M
Intramural NIH HHS Z01 MH002781Intramural NIH HHS Z01 MH002782Intramural NIH HHS ZIA MH002781Intramural NIH HHS ZIA MH002782
6 · The paper itself

Abstract

purpose of the reviewThis review describes approaches to research on anxiety that attempt to link neural correlates to treatment response and novel therapies. The review emphasizes pediatric anxiety disorders since most anxiety disorders begin before adulthood. RECENT

findingsRecent literature illustrates how current treatments for anxiety manifest diverse relations with a range of neural markers. While some studies demonstrate post-treatment normalization of markers in anxious individuals, others find persistence of group differences. For other markers, which show no pretreatment association with anxiety, the markers nevertheless distinguish treatment-responders from non-responders. Heightened error related negativity represents the risk marker discussed in the most depth; however, limitations in measures related to error responding necessitate multimodal and big-data approaches. Single risk markers show limits as correlates of treatment response. Large-scale, multimodal data analyzed with predictive models may illuminate additional risk markers related to anxiety disorder treatment outcomes. Such work may identify novel targets and eventually guide improvements in treatment response/outcomes.

Indexed as

ElectroencephalographyEvoked PotentialsAdultAnxietyAnxiety DisordersBig DataChildHumansAnxietyBig dataERNMRINeuroimagingTreatment

Identifiers

PMID36469202
PMCPMC9931491
OpenAlexW4310679654

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.