Evidence map›Paper›PMID 38765651›Full record

ArticlePsychiatry and clinical psychopharmacology2021

Validation of Chinese Version of Positive and Negative Syndrome Scale-6 in Clinical Setting: A Preliminary Study.

Lei Li, Huayu Ma, Xiang Wang, Erwang Meng

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  5. How to assess response.European archives of psychiatry and clinical neuroscience · 2025
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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

4 authors.

Lei LiDepartment of Sleep Medicine, The Fourth People's Hospital of Lianyungang, Lianyungang, China.ORCID 0000-0003-3730-0712
Huayu MaDepartment of Sleep Medicine, The Fourth People's Hospital of Lianyungang, Lianyungang, China.ORCID 0000-0001-5069-0650
Xiang WangDepartment of Psychiatry, The Fourth People's Hospital of Lianyungang, Lianyungang, China.ORCID 0000-0003-0529-5381
Erwang MengDepartment of Psychiatry, The Fourth People's Hospital of Lianyungang, Lianyungang, China.ORCID 0000-0002-8889-7355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Positive and Negative Syndrome Scale-6 (PANSS-6) is a brief measure to assess the core symptoms of schizophrenia. Psychometric characteristics of PANSS-6 in clinical settings are to be determined. We conducted this study among Chinese inpatients of schizophrenia in clinical settings, to determine psychometric characteristics of PANSS-6, and its' accuracy for identifying antipsychotic efficacy. Methods: Two hundred sixteen inpatients of schizophrenia were interviewed at baseline, week 4 and week 8 by experienced psychiatrists to collect information for rating PANSS-30 and PANSS-6. Internal consistency was estimated by the Cronbach's α; criterion validity was determined by Spearman's correlations between sum scores of PANSS-6 and PANSS-30; factorial validity was determined by confirmatory factor analysis (CFA); the sensitivity, specificity, positive predictive value (PPV); and negative predictive value (NPV) of PANSS-6 for identifying responders and remitters were calculated. Results: The Cronbach's α coefficients of PANSS-6 were 0.72 (95% CI: 0.66-0.78) at baseline. Sum scores of PANSS-6 were significantly correlated with that of PANSS-30. Confirmatory factor analysis confirmed this 2-factor model fit well: χ Conclusion: Positive and Negative Syndrome Scale-6 is a sound scale for measuring psychotic severity and monitoring treatment outcomes of schizophrenia in clinical settings.

Indexed as

PANSS-6reliabilityschizophreniatreatment efficacyvalidity

Identifiers

PMID38765651
PMCPMC11079636

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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.