Evidence map›Paper›PMID 23693118›Full record

ReviewEarly intervention in psychiatry2013

Psychosis prediction and clinical utility in familial high-risk studies: selective review, synthesis, and implications for early detection and intervention.

Jai L Shah, Neeraj Tandon, Matcheri S Keshavan

Abstract readReview
In one paragraph

Review in Early intervention in psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Sensitivity of the familial high-risk approach for the prediction of future psychosis: a total population study.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Jai L ShahMassachusetts Mental Health Center, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA; Connecticut Mental Health Center, New Haven, Connecticut, USA; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Neeraj Tandon
Matcheri S Keshavan

Funding

Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
Brain Maturation and Vulnerability to SchizophreniaR01MH064023 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KESHAVAN, MATCHERI S. · 2003 to 2008
$3.0M
CORTICAL PRUNING AND SCHIZOPHRENIAK02MH001180 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 1995 to 2005
$648k
NIMH NIH HHS K02 MH001180NIMH NIH HHS MH01180NIMH NIH HHS MH64023NIMH NIH HHS MH78113NIMH NIH HHS R01 MH064023NIMH NIH HHS R01 MH078113
6 · The paper itself

Abstract

aimAccurate prediction of which high-risk individuals will go on to develop psychosis would assist early intervention and prevention paradigms. We sought to review investigations of prospective psychosis prediction based on markers and variables examined in longitudinal familial high-risk (FHR) studies.

methodsWe performed literature searches in MedLine, PubMed and PsycINFO for articles assessing performance characteristics of predictive clinical tests in FHR studies of psychosis. Studies were included if they reported on one or more predictive variables in subjects at FHR for psychosis. We complemented this search strategy with references drawn from articles, reviews, book chapters and monographs.

resultsAcross generations of FHR projects, predictive studies have investigated behavioural, cognitive, psychometric, clinical, neuroimaging and other markers. Recent analyses have incorporated multivariate and multi-domain approaches to risk ascertainment, with generally modest results.

conclusionsAlthough a broad range of risk factors has been identified, no individual marker or combination of markers can at this time enable accurate prospective prediction of emerging psychosis for individuals at FHR. We outline the complex and multi-level nature of psychotic illness, the myriad of factors influencing its development, and methodological hurdles to accurate and reliable prediction. Prospects and challenges for future generations of FHR studies are discussed in the context of early detection and intervention strategies.

Indexed as

Early DiagnosisEarly Medical InterventionEndophenotypesFamily HealthHumansLongitudinal StudiesPredictive Value of TestsPsychotic DisordersRisk Factorsearly interventionfamilialhigh riskpredictionpsychosis

Identifiers

PMID23693118
PMCPMC5218827

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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.