Evidence map›Paper›PMID 31037392›Full record

ReviewCurrent psychiatry reports2019

Predictors of Transition to Psychosis in Individuals at Clinical High Risk.

Jean Addington, Megan Farris, Jacqueline Stowkowy, Olga Santesteban-Echarri, Paul Metzak, Mohammed Shakeel Kalathil

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Jean AddingtonHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada. jmadding@ucalgary.ca.
Megan FarrisHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Jacqueline StowkowyHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Olga Santesteban-EcharriHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Paul MetzakHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Mohammed Shakeel KalathilHotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.

Funding

CIHR
6 · The paper itself

Abstract

purpose of reviewCurrent research is examining predictors of the transition to psychosis in youth who are at clinical high risk based on attenuated psychotic symptoms (APS). Determining predictors of the development of psychosis is important for an improved understanding of mechanisms as well as the development of preventative strategies. The purpose is to review the most recent literature identifying predictors of the transition to psychosis in those who are already assessed as being at risk. RECENT

findingsMultidomain models, in particular, integrated models of symptoms, social functioning, and cognition variables, achieve better predictive performance than individual factors. There are many methodological issues; however, several solutions have now been described in the literature. For youth who already have APS, predicting who may go on to later develop psychosis is possible. Several studies are underway in large consortiums that may overcome some of the methodological concerns and develop improved means of prediction.

Indexed as

CognitionHumansPrognosisPsychotic DisordersRisk AssessmentRisk FactorsClinical high riskProdromePsychosisRisk factorsSchizophrenia, predictors

Identifiers

What OpenQuestion holds

Textmetadata
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.