Distress screening in patients with high-grade glioma: diagnostic accuracy in relation to a structured clinical interview in a multicenter cluster-randomized controlled trial

Robert Kuchen*, Susanne Singer, Melanie Schranz, Lorenz Doerner, David Rieger, Joachim P. Steinbach, Michael W. Ronellenfitsch, Martin Voss, Almuth F. Kessler, Vera Nickl, Martin Misch, Julia Sophie Onken, Marion Rapp, Minou Nadji-Ohl, Marcus Mehlitz, Jürgen Meixensberger, Michael Karl Fehrenbach, Naureen Keric, Florian Ringel, Jan CoburgerCarolin Weiß Lucas, Jens Wehinger, Friederike Schmidt-Graf, Marcos Tatagiba, Ghazaleh Tabatabai, Melina Hippler, Mirjam Renovanz

*Corresponding author for this work

Abstract

Purpose: Structured clinical interviews, such as the Structured Clinical Interview for DSM (SCID), are considered the gold standard for diagnosing mental disorders but are challenging in routine clinical use due to their length. Therefore, screening instruments to identify the need for further assessment are required. The National Comprehensive Cancer Network Distress Thermometer (DT) screens for psychological distress, while the Emotional Functioning (EF) scale of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core (EORTC QLQ-C30) assesses emotional functioning. Both are frequently used in clinical routine. Additionally, three brief screening questions (TSQ), specifically developed for patients with glioma and integrated into doctor–patient consultations, may also be used for screening. This study aimed to evaluate the ability of the three tools to identify patients with psychiatric comorbidities as diagnosed by the SCID. Methods: Using data from glioma patients treated at 13 German hospitals participating in a cluster-randomized trial, discriminative abilities were assessed using receiver operating characteristic (ROC) curves and corresponding areas under the curve (AUCs). Confidence intervals (CIs) were estimated, and hypothesis tests were conducted using bootstrapping. Results: Of the 691 patients interviewed, 31% presented with at least one mental disorder. The EF scale demonstrated the best discriminative ability (AUC 0.70, 95% CI: 0.66–0.74), followed by the DT (AUC 0.69, 95% CI: 0.62–0.76), and the TSQ total score (AUC 0.61, 95% CI: 0.55–0.66). Conclusion: While all three tools performed better than random chance, none demonstrated convincing discriminative ability in identifying psychiatric comorbidities. In practice, screening tools can identify a substantial proportion of patients with mental disorders, however at the cost of a considerable number of false negatives.

Original languageEnglish
Article number737
JournalSupportive Care in Cancer
Volume33
Issue number8
ISSN0941-4355
DOIs
Publication statusPublished - 08.2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Areas and Centers

  • Research Area: Luebeck Integrated Oncology Network (LION)

DFG Research Classification Scheme

  • 2.23-07 Clinical Neurology, Neurosurgery and Neuroradiology

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