Performance of the Hospital Anxiety and Depression Scale as a screening tool for major depressive disorder in cancer patients.

J Psychosom Res

Psychological Medicine and Symptoms Research Group, School of Molecular and Clinical Medicine, University of Edinburgh, Edinburgh, Scotland, United Kingdom.

Published: July 2007

Objectives: (1) To assess the overall performance of the Hospital Anxiety and Depression Scale (HADS) as a screening instrument to identify cases of major depressive disorder (MDD) in mixed cancer outpatients. (2) To determine the sensitivity and specificity of various HADS cut-off scores. (3) To recommend an optimal HADS cut-off score for use in this population.

Methods: A cross-sectional questionnaire and interview survey of consecutive patients attending outpatient clinics in a regional cancer centre in Edinburgh, Scotland, United Kingdom.

Results: Thirty (8.3%) of 361 patients met criteria for MDD at interview. With the use of the total HADS score to identify these cases of MDD, the area under the receiver operating characteristic curve was 0.94 (95% CI, 0.91-0.97). A cut-off of 14/15 gave a sensitivity of 0.87 (95% CI, 0.70-0.95), a specificity of 0.85 (95% CI, 0.81-0.89), and a positive predictive value of 0.35, and was considered optimal.

Conclusion: The HADS can be used effectively as an initial screening tool for the detection of MDD in outpatients attending mixed cancer clinics.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jpsychores.2007.01.009DOI Listing

Publication Analysis

Top Keywords

performance hospital
8
hospital anxiety
8
anxiety depression
8
depression scale
8
screening tool
8
major depressive
8
depressive disorder
8
identify cases
8
mixed cancer
8
hads cut-off
8

Similar Publications

Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.

Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.

View Article and Find Full Text PDF

Background: X-ray grating-based dark-field imaging can sense the small angle scattering caused by object's micro-structures. This technique is sensitive to the porous microstructure of lung alveoli and has the potential to detect lung diseases at an early stage. Up to now, a human-scale dark-field CT (DF-CT) prototype has been built for lung imaging.

View Article and Find Full Text PDF

Safety and efficacy of tirofiban in the endovascular treatment of intracranial aneurysms: a systematic evaluation and meta-analysis.

Neurosurg Rev

January 2025

Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, the Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421000, Hunan, China.

Patients with intracranial aneurysms (IA) undergoing endovascular treatment face varying risks and benefits when tirofiban is used for thromboprophylaxis during surgery. Currently, there is a lack of high-level evidence summarizing this information. This study aims to conduct a systematic review and meta-analysis to evaluate the efficacy and safety of tirofiban during endovascular treatment of IA.

View Article and Find Full Text PDF

Perfluorooctane sulfonic acid (PFOS) is an anthropogenic chemical found in aqueous film-forming foams (AFFFs) and many consumer products. Despite its environmental ubiquity and persistence, little is known about the effects of PFOS on stress levels in wild animals. Here, we examined PFOS bioaccumulation and correlations between PFOS exposure and oxidative stress in snapping turtles (Chelydra serpentina) downstream of Griffiss Air Force Base in Rome, New York, a known source of AFFF contamination.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!