Evidence map›Paper›PMID 26954594›Full record

ReviewHarvard review of psychiatry

Progress and Future Directions in Research on the Psychosis Prodrome: A Review for Clinicians.

Kristen A Woodberry, Daniel I Shapiro, Caitlin Bryant, Larry J Seidman

Open access · greenAbstract readReview
In one paragraph

Review in Harvard review of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Symptom trajectories into eating disorders: A systematic review of longitudinal, nonclinical studies in children/adolescents.European psychiatry : the journal of the Association of European Psychiatrists · 2020
    Pooled it
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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

4 authors at 1 institution in 1 country.

Kristen A WoodberryFrom Harvard Medical School (Drs. Woodberry, Shapiro, and Seidman) and Beth Israel Deaconess Medical Center (Drs. Woodberry, Shapiro, and Seidman, and Ms. Bryant).
Daniel I Shapiro
Caitlin Bryant
Larry J Seidman
Massachusetts Mental Health Center · US

Funding

Administrative Supplement Harmonization of At Risk Multisite Observational Networks for Youth(HARMONY)U01MH081928 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STONE, WILLIAM SETH · 2008 to 2018
$7.1M
Optimizing Cognitive Training to Improve Functional Outcome in Clinical High RiskR01MH105246 · NIMH · RUSH UNIVERSITY MEDICAL CENTER · PI HOOKER, CHRISTINE I'LEE · 2014 to 2018
$2.7M
Stigma Associated with a High-Risk State for PsychosisR01MH096027 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUSSER, EZRA S., YANG, LAWRENCE H · 2012 to 2016
$2.6M
Innovative Intervention for Reducing Stress Reactivity and Risk for PsychosisK23MH102358 · NIMH · MAINEHEALTH · PI WOODBERRY, KRISTEN ANNE · 2014 to 2017
$722k
Validating Biomarkers for the Prodrome and Transition to Psychosis in ShanghaiR01MH101052 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI LI, HUIJUN, MCCARLEY, ROBERT W · 2013 to 2015
$600k
NIMH NIH HHS K23 MH102358NIMH NIH HHS K23 MH102358-01A1NIMH NIH HHS R01 MH096027NIMH NIH HHS R01 MH101052NIMH NIH HHS R01 MH105246NIMH NIH HHS U01 MH081928NIMH NIH HHS U01 MH081928-06
6 · The paper itself

Abstract

LEARNING

objectivesAfter participating in this activity, learners should be better able to: ABSTRACT: The psychosis prodrome, or period of clinical and functional decline leading up to acute psychosis, offers a unique opportunity for identifying mechanisms of psychosis onset and for testing early-intervention strategies. We summarize major findings and emerging directions in prodromal research and provide recommendations for clinicians working with individuals suspected to be at high risk for psychosis. The past two decades of research have led to three major advances. First, tools and criteria have been developed that can reliably identify imminent risk for a psychotic disorder. Second, longitudinal clinical and psychobiological data from large multisite studies are strengthening individual risk assessment and offering insights into potential mechanisms of illness onset. Third, psychosocial and pharmacological interventions are demonstrating promise for delaying or preventing the onset of psychosis in help-seeking, high-risk individuals. The dynamic psychobiological processes implicated in both risk and onset of psychosis, including altered gene expression, cognitive dysfunction, inflammation, gray and white matter brain changes, and vulnerability-stress interactions suggest a wide range of potential treatment targets and strategies. The expansion of resources devoted to early intervention and prodromal research worldwide raises hope for investigating them. Future directions include identifying psychosis-specific risk and resilience factors in children, adolescents, and non-help-seeking community samples, improving study designs to test hypothesized mechanisms of change, and intervening with strategies that, in order to improve functional outcomes, better engage youth, address their environmental contexts, and focus on evidence-based neurodevelopmental targets. Prospective research on putatively prodromal samples has the potential to substantially reshape our understanding of mental illness and our efforts to combat it.

Indexed as

Biomedical ResearchBrainHumansMeta-Analysis as TopicPractice Guidelines as TopicProtective FactorsPsychotic DisordersRandomized Controlled Trials as TopicRisk AssessmentRisk Factors

Identifiers

PMID26954594
PMCPMC4870599
OpenAlexW2323218705

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.