Evidence map›Paper›PMID 37272381›Full record

ArticlePsychological medicine2023

Clinical significance of psychotic-like experiences across U.S. ethnoracial groups.

Roberto Lewis-Fernández, Chih-Nan Chen, Mark Olfson, Alejandro Interian, Margarita Alegría

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 4 institutions in 2 countries.

Roberto Lewis-FernándezDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA.ORCID 0000-0003-1305-7471
Chih-Nan ChenDepartment of Economics, National Taipei University, Taipei, Taiwan, Republic of China.
Mark OlfsonDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA.
Alejandro InterianMental Health and Behavioral Sciences, VA New Jersey Healthcare System, Lyons, NJ, USA.
Margarita AlegríaDisparities Research Unit, Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
New York Psychoanalytic Society and Institute · USHarvard University · USNational Taipei University · TWVA New Jersey Health Care System · US

Funding

DEPRESSION AND END OF LIFE CARE IN ALSR01MH062200 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M · 2000 to 2003
$1.5M
New York State Psychiatric InstituteNIMH NIH HHS R01 MH062200
6 · The paper itself

Abstract

backgroundPrevalence of

methodsWe examined the lifetime prevalence and clinical significance of PLEs across ethnoracial groups in the Collaborative Psychiatric Epidemiology Surveys (

resultsContrary to previous reports, only Asian Americans differed significantly from other U.S. ethnoracial groups, reporting lower lifetime prevalence (6.7%

conclusionsWhile there is limited ethnoracial variation in U.S. PLE prevalence, PLE clinical significance varies across U.S. ethnoracial groups. Clinicians should consider this variation when assessing PLEs to avoid exaggerating their clinical significance, contributing to mental healthcare disparities.

Indexed as

Mental DisordersPsychotic DisordersClinical RelevanceEthnicityHallucinationsHumansRacial GroupsUnited StatesClinical meaning of symptomscultural variation of psychiatric disordersethnoracial health disparitiespsychotic-like experiences

Identifiers

PMID37272381
PMCPMC10755236
OpenAlexW4379376740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.