Distress Thermometer in breast cancer: systematic review and meta-analysis

Author:

Sun HuihuiORCID,Lv HuiminORCID,Zeng Huiai,Niu Limin,Yan Min

Abstract

ObjectiveThis meta-analysis aimed to reach a summarised estimate of distress prevalence screened by Distress Thermometer (DT) among patients with breast cancer and compare different pooled prevalence estimated between different subgroups.MethodsTwo independent interviewers conducted a systematic search from PubMed, EMBASE, Ovid and Cochrane Library and checked related reviews and meta-analyses for eligible studies. The studies that identified distress of patients with breast cancer with DT were included. After extracting demographic characteristics and distress prevalence, the pooled analysis and the forest plot were completed by using STATA V.12.0 software. We conducted a subgroup analysis based on demographic and methodological characteristics of the studies. The publication bias was estimated by funnel plot.ResultsSeventeen studies describing 3870 patients with breast cancer were included in this meta-analysis. The distress prevalence of patients with breast cancer varied from 25.3% to 71.7% among these studies. The pooled distress prevalence was 50% (95% CI 49% to 52%) for the overall sample. The pooled distress prevalence rates in DT ≥7, DT ≥5 and DT ≥4 subgroups were 37% (95% CI 35% to 40%), 45% (95% CI 40% to 49%) and 62% (95% CI 60% to 65%), respectively. The distress prevalence had statistically significant differences between subgroups, which were differentiated by the initial time of distress identified, papers’ publication time, patients’ average age and country. There was no publication bias among the included studies.ConclusionThe distress prevalence was high among patients with breast cancer. Routine and timely screening of distress for patients with breast cancer is of great significance in oncology management.

Publisher

BMJ

Subject

Medical–Surgical Nursing,Oncology (nursing),General Medicine,Medicine (miscellaneous)

Reference60 articles.

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