Evidence map›Paper›PMID 36031632›Full record

Trial reportBMC psychiatry2022

Impaired insight in schizophrenia: impact on patient-reported and physician-reported outcome measures in a randomized controlled trial.

Paul H Lysaker, Peter J Weiden, Xiaowu Sun, Amy K O'Sullivan, Joseph P McEvoy

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00014001 (Comparative Effectiveness of Antipsychotic Medications in Patients With Schizophrenia), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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.

NCT00014001 phase4completednot on this map

Comparative Effectiveness of Antipsychotic Medications in Patients With Schizophrenia (CATIE Schizophrenia Trial)

TypeinterventionalSponsorNational Institute of Mental Health (NIMH)Ran2000 to 2004Enrolled1,600ConditionsSchizophreniaArmsperphenazine, olanzapine, quetiapine, risperidone, ziprasidone
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  12. Language sentiment predicts changes in depressive symptoms.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

5 authors at 3 institutions in 1 country.

Paul H LysakerRichard L. Roudebush VA Medical Center and Indiana University School of Medicine, 1481 West 10th Street, Indianapolis, IN, 46202, USA. plysaker@iupui.edu.
Peter J WeidenAlkermes, Inc., Waltham, MA, USA.
Xiaowu SunAlkermes, Inc., Waltham, MA, USA.
Amy K O'SullivanAlkermes, Inc., Waltham, MA, USA.
Joseph P McEvoyPsychiatry and Health Behavior at Augusta University, Augusta, GA, USA.
Alkermes (United States) · USAugusta University · USIndiana University School of Medicine

Funding

PUBLIC EDUCATION CAMPAIGN ON DEPRESSION DARTN01MH090001 · NIMH · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 1989 to 2003
$10.4M
NIMH NIH HHS N01 MH090001
6 · The paper itself

Abstract

backgroundImpaired insight poses a challenge in the treatment of patients with schizophrenia because of its potential to jeopardize therapeutic engagement and medication adherence. This study explored how insight impairment, graded from none to extreme, is related to patient-reported mental health status, depression, and neurocognition in schizophrenia.

methodsIn a post hoc analysis of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study (NCT00014001), insight was measured using the Positive and Negative Syndrome Scale (PANSS) Item G12 (lack of insight). Additional assessments for this analysis included the 12-Item Short-Form Health Survey (SF-12) Mental Component Summary (MCS), physician- and patient-reported Clinical Global Impression-Severity (CGI-S), MATRICS Consensus Cognitive Battery, and Calgary Depression Scale for Schizophrenia. Relationships between patient-reported outcomes and PANSS total and Item G12 ratings were evaluated.

resultsAmong 1431 CATIE study participants in this analysis, increasingly impaired insight at baseline was significantly associated with better patient-reported quality of life (QoL), lower baseline depression, and greater divergence between physician- and patient-reported illness severity. Patients with more severely impaired insight reported milder illness compared with physician reports, particularly those with moderate-severe to extreme impairment (PANSS Item G12 rating ≥ 5), approximately 10% (138/1431) of CATIE participants. For the 90% of patients with PANSS Item G12 ratings < 5, patient-reported QoL decreased with increasing symptoms. SF-12 MCS scores were linearly related to baseline PANSS total score only in patients with PANSS total score < 90 (moderately ill or better), and better symptom scores were associated with higher QoL. No significant relationship between insight and neurocognition was observed.

conclusionsIn the small subgroup (10%) of CATIE study patients with schizophrenia and PANSS Item G12 ratings ≥5, moderate-severe-severe/extreme insight impairment was associated with significantly more positive perception of QoL and illness severity by the patient versus the treating physician. This was not observed in the remaining 90% of patients with normal to moderately impaired insight, suggesting that poor insight as a threat to the validity of self-report is uncommon.

Indexed as

Antipsychotic AgentsPhysiciansSchizophreniaHumansPatient Reported Outcome MeasuresPsychiatric Status Rating ScalesQuality of LifeAntipsychotic AgentsCATIE schizophrenia trialInsightNeurocognitionPANSSPatient-reported outcomeQuality of lifeSchizophreniaSF-12

Identifiers

PMID36031632
PMCPMC9420291
OpenAlexW4293516500

What OpenQuestion holds

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Registered trials

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.