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Journal of Clinical Psychology in Medical Settings

Erschienen in:

10.02.2020

A Systematic Review and Meta-analysis of the Distress Thermometer for Screening Distress in Asian Patients with Cancer

verfasst von: Huihui Sun, Sudip Thapa, Bangyan Wang, Xiaofen Fu, Shiying Yu

Erschienen in: Journal of Clinical Psychology in Medical Settings | Ausgabe 2/2021

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Abstract

The distress thermometer (DT) is a commonly used tool for screening distress in Asian patients with cancer. However, the optimal cut-off score and discriminative accuracy remain unclear. Hence, this meta-analysis aimed to examine its diagnostic value and optimal cut-off score in Asia. A systematic search was conducted in the PubMed, EMBASE and Cochrane Library databases. The pooled sensitivity, specificity, positive and negative predictive values, and diagnostic odds ratio were calculated. The area under the curve (AUC) was computed from the summary receiver-operating characteristic (SROC) curve. All analyses were performed using STATA 12.0 software. Finally, 10 studies describing 2851 patients were included. After pooling all the results from the 10 studies, the optimal DT cut-off score was 4 with a pooled sensitivity of 0.78 (95% confidence intervals (CI) 0.68–0.86), specificity of 0.73 (95% CI 0.65–0.80) and AUC of 0.82 (95% CI 0.78–0.85). When the DT was compared to the hospital anxiety and depression scale-total (HADS-T), the cut-off score of 4 showed the best balance between the pooled sensitivity (0.81, 95% CI 0.69–0.89) and specificity (0.74, 95% CI 0.59–0.84), and the AUC was 0.84 (95% CI 0.81–0.87). In conclusion, the DT with a cut-off score of 4 was an effective screening tool in Asian patients with cancer.

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Titel: A Systematic Review and Meta-analysis of the Distress Thermometer for Screening Distress in Asian Patients with Cancer
verfasst von: Huihui Sun
Sudip Thapa
Bangyan Wang
Xiaofen Fu
Shiying Yu
Publikationsdatum: 10.02.2020
Verlag: Springer US
Erschienen in: Journal of Clinical Psychology in Medical Settings / Ausgabe 2/2021
Print ISSN: 1068-9583
Elektronische ISSN: 1573-3572
DOI: https://doi.org/10.1007/s10880-020-09705-9

Springer Medizin

Abstract

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