Evidence map›Paper›PMID 35807125›Full record

ArticleJournal of clinical medicine2022

Latent Profiles of Premorbid Adjustment in Schizophrenia and Their Correlation with Measures of Recovery.

Alejandra Caqueo-Urízar, Felipe Ponce-Correa, Carla Semir-González, Alfonso Urzúa

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Alejandra Caqueo-UrízarInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile.ORCID 0000-0002-4614-8380
Felipe Ponce-CorreaPrograma Doctorado en Psicología, Escuela de Psicología y Filosofía, Universidad de Tarapacá, Arica 1000000, Chile.ORCID 0000-0002-4768-5057
Carla Semir-GonzálezEscuela de Psicología y Filosofía, Universidad de Tarapacá, Arica 1000000, Chile.ORCID 0000-0002-6870-8326
Alfonso UrzúaEscuela de Psicología, Universidad Católica del Norte, Antofagasta 1270709, Chile.ORCID 0000-0002-0882-2194

Funding

Agencia Nacional de Investigación y Desarrollo de Chile ANID FONDECYT 1200785
6 · The paper itself

Abstract

Premorbid adjustment (PA) has classically been defined as psychosocial functioning in the areas of education, occupation, social and interpersonal relationships prior to evidence of characteristic positive symptomatology. It is a concept which possesses ample evidence regarding its predictive nature for the course of Schizophrenia. The study aimed to analyze the latent profiles of premorbid adjustment and their relationship with symptomatology, functionality, subjective recovery, stigma resistance and years of untreated psychosis. Latent class analysis (LCA) was used to elaborate a solution of three premorbid adjustment profiles in a sample of 217 patients diagnosed with Schizophrenia from Public Mental Health Centers in the city of Arica, Chile. The results show that premorbid adjustment was significantly correlated with recovery indicators and that latent profiles of better premorbid adjustment predict better outcomes in subjective recovery and stigma resistance. The results show that premorbid adjustment not only has implications for the severity of the disorder, but that psychosocial functioning prior to psychosis affects the patient's subjectivity, the representation of the disorder and the recovery process.

Indexed as

premorbid adjustmentrecoveryschizophrenia

Identifiers

PMID35807125
PMCPMC9267748

What OpenQuestion holds

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Registered trials

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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.