Evidence map›Paper›PMID 37789742›Full record

ArticleThe American journal of psychiatry2023

Are We There Yet? Predicting Conversion to Psychosis Using Machine Learning.

Jason Smucny, Ian Davidson, Cameron S Carter

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jason SmucnyDepartment of Psychiatry, University of California, Davis (Smucny, Carter); Department of Computer Science, University of California, Davis (Davidson).
Ian DavidsonDepartment of Psychiatry, University of California, Davis (Smucny, Carter); Department of Computer Science, University of California, Davis (Davidson).
Cameron S CarterDepartment of Psychiatry, University of California, Davis (Smucny, Carter); Department of Computer Science, University of California, Davis (Davidson).

Funding

Pathophysiology Informed Biomarkers of Treatment Response in Early Psychosis (PIB)R01MH122139 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI CARTER, CAMERON S. · 2020 to 2024
$3.2M
Predictive Markers and Mechanisms of Persistent Psychotic-like Experiences in Children: An Adolescent Brain and Cognitive Development Study AnalysisK01MH125096 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SMUCNY, JASON · 2021 to 2025
$872k
NIMH NIH HHS K01 MH125096NIMH NIH HHS R01 MH122139
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Psychotic DisordersSchizophreniaHumansMachine LearningMachine LearningPsychosis see Schizophrenia Spectrum and Other Psychotic Disorders

Identifiers

PMID37789742
PMCPMC11200311

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.