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Article: Revisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms

TitleRevisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms
Authors
KeywordsSchizophrenia
Persistent negative symptoms
CAINS
ROC curve
Issue Date2018
Citation
Schizophrenia Research, 2018, v. 202, p. 248-253 How to Cite?
Abstract© 2018 Elsevier B.V. Objective: The present study aimed to validate a severity cut-off of negative symptoms for persistent negative symptoms (PNS) identification using the Clinical Assessment Interview for Negative Symptoms (CAINS). Method: A total of 206 patients with schizophrenia were recruited and divided into the PNS group (n = 57) and the Non-PNS group (n = 149) using PNS criteria based on the SANS and the SAPS. To determine the appropriate cut-offs on the CAINS in identifying PNS, Receiver Operating Characteristic (ROC) curve analysis was conducted in the PNS and Non-PNS groups. Results: Our results showed that the cutoffs for identifying PNS on the CAINS total score, the Motivation and Pleasure (MAP) subscale score and the Expression (EXP) subscale score were 25, 17, and 5 respectively. Area Under the Curve (AUC) analysis indicated excellent discrimination of the PNS group from the Non-PNS group using the cut-off for the CAINS total score. However, discrimination was somewhat better for the MAP subscale score than the EXP subscale score. The Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of the MAP subscale were 81.54% and 97.16%. Conclusion: We found that the cut-off scores derived from the CAINS to identify PNS are comparable to existing scales. The CAINS offers an alternative means in identifying PNS patients in clinical trials that overcomes methodological and conceptual limitations of older scales.
Persistent Identifierhttp://hdl.handle.net/10722/293091
ISSN
2021 Impact Factor: 4.662
2020 SCImago Journal Rankings: 1.923
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Ying-
dc.contributor.authorLi, Wen xiu-
dc.contributor.authorZou, Ying min-
dc.contributor.authorYang, Zhuo ya-
dc.contributor.authorXie, Dong jie-
dc.contributor.authorYang, Yin-
dc.contributor.authorLui, Simon S.Y.-
dc.contributor.authorStrauss, Gregory P.-
dc.contributor.authorCheung, Eric F.C.-
dc.contributor.authorChan, Raymond C.K.-
dc.date.accessioned2020-11-17T14:57:51Z-
dc.date.available2020-11-17T14:57:51Z-
dc.date.issued2018-
dc.identifier.citationSchizophrenia Research, 2018, v. 202, p. 248-253-
dc.identifier.issn0920-9964-
dc.identifier.urihttp://hdl.handle.net/10722/293091-
dc.description.abstract© 2018 Elsevier B.V. Objective: The present study aimed to validate a severity cut-off of negative symptoms for persistent negative symptoms (PNS) identification using the Clinical Assessment Interview for Negative Symptoms (CAINS). Method: A total of 206 patients with schizophrenia were recruited and divided into the PNS group (n = 57) and the Non-PNS group (n = 149) using PNS criteria based on the SANS and the SAPS. To determine the appropriate cut-offs on the CAINS in identifying PNS, Receiver Operating Characteristic (ROC) curve analysis was conducted in the PNS and Non-PNS groups. Results: Our results showed that the cutoffs for identifying PNS on the CAINS total score, the Motivation and Pleasure (MAP) subscale score and the Expression (EXP) subscale score were 25, 17, and 5 respectively. Area Under the Curve (AUC) analysis indicated excellent discrimination of the PNS group from the Non-PNS group using the cut-off for the CAINS total score. However, discrimination was somewhat better for the MAP subscale score than the EXP subscale score. The Positive Predictive Value (PPV) and Negative Predictive Value (NPV) of the MAP subscale were 81.54% and 97.16%. Conclusion: We found that the cut-off scores derived from the CAINS to identify PNS are comparable to existing scales. The CAINS offers an alternative means in identifying PNS patients in clinical trials that overcomes methodological and conceptual limitations of older scales.-
dc.languageeng-
dc.relation.ispartofSchizophrenia Research-
dc.subjectSchizophrenia-
dc.subjectPersistent negative symptoms-
dc.subjectCAINS-
dc.subjectROC curve-
dc.titleRevisiting the persistent negative symptoms proxy score using the Clinical Assessment Interview for Negative Symptoms-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.schres.2018.07.005-
dc.identifier.pmid29996973-
dc.identifier.scopuseid_2-s2.0-85049503476-
dc.identifier.hkuros320139-
dc.identifier.volume202-
dc.identifier.spage248-
dc.identifier.epage253-
dc.identifier.eissn1573-2509-
dc.identifier.isiWOS:000452298400037-
dc.identifier.issnl0920-9964-

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