Evidence map›Paper›PMID 40745114›Full record

Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

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 and 17 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Robert KuchenInstitute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany. robert.kuchen@uni-mainz.de.ORCID http://orcid.org/0000-0003-4384-7511
Susanne SingerComprehensive Cancer Center Mecklenburg-Vorpommern (CCC-MV), Department of Quality of Life in Oncology University Medical Centre Rostock, Rostock, Germany.ORCID http://orcid.org/0000-0001-5784-7964
Melanie SchranzInstitute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.ORCID http://orcid.org/0000-0003-4476-0020
Lorenz DoernerDepartment of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany.
David RiegerDepartment of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany.ORCID http://orcid.org/0009-0003-6032-4760
Joachim P SteinbachDr. Senckenberg Institute of Neurooncology, Goethe University, Frankfurt, University Cancer Center Frankfurt (UCT), Frankfurt Cancer Institute (FCI), and German Cancer Consortium (DKTK), Partner Site Frankfurt, Frankfurt Am Main, Germany.ORCID http://orcid.org/0000-0002-4695-2483
Michael W RonellenfitschDr. Senckenberg Institute of Neurooncology, Goethe University, Frankfurt, University Cancer Center Frankfurt (UCT), Frankfurt Cancer Institute (FCI), and German Cancer Consortium (DKTK), Partner Site Frankfurt, Frankfurt Am Main, Germany.ORCID http://orcid.org/0000-0002-1402-6290
Martin VossDr. Senckenberg Institute of Neurooncology, Goethe University, Frankfurt, University Cancer Center Frankfurt (UCT), Frankfurt Cancer Institute (FCI), and German Cancer Consortium (DKTK), Partner Site Frankfurt, Frankfurt Am Main, Germany.ORCID http://orcid.org/0000-0001-8469-8204
Almuth F KesslerDepartment of Neurosurgery, University Hospital Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-0605-7791
Vera NicklDepartment of Neurosurgery, University Hospital Würzburg, Würzburg, Germany.ORCID http://orcid.org/0009-0002-0453-1135
Martin MischDepartment of Neurosurgery, Charité - University Medical Center, Berlin, Germany.ORCID http://orcid.org/0000-0001-5283-5753
Julia Sophie OnkenDepartment of Neurosurgery, Charité - University Medical Center, Berlin, Germany.ORCID http://orcid.org/0000-0002-2859-4395
Marion RappDepartment of Neurosurgery, University Hospital Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0003-2343-244X
Minou Nadji-OhlDepartment of Neurosurgery, Klinikum Stuttgart, Katharinen Hospital, Stuttgart, Germany.ORCID http://orcid.org/0000-0003-1891-7389
Marcus MehlitzDepartment of Neurosurgery, Klinikum Der Barmherzigen Brüder, Trier, Germany.ORCID http://orcid.org/0000-0003-0017-9066
Jürgen MeixensbergerDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.ORCID http://orcid.org/0000-0002-1385-8255
Michael Karl FehrenbachDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.ORCID http://orcid.org/0000-0001-8396-7740
Naureen KericDepartment of Neurosurgery, University Medical Center Mainz, Mainz, Germany.ORCID http://orcid.org/0000-0001-8457-0059
Florian RingelDepartment of Neurosurgery, University Medical Center Mainz, Mainz, Germany.ORCID http://orcid.org/0000-0003-3132-7543
Jan CoburgerDepartment of Neurosurgery, University Hospital Ulm, Ulm, Germany.ORCID http://orcid.org/0000-0002-3677-8258
Carolin Weiß LucasCenter for Neurosurgery, University Hospital Cologne, Cologne, Germany.ORCID http://orcid.org/0000-0001-6463-0034
Jens WehingerDepartment of Neurology, Klinikum Ludwigsburg, Ludwigsburg, Germany.
Friederike Schmidt-GrafDepartment of Neurology, Klinikum Rechts Der Isar, Technical University Munich, Munich , Germany.ORCID http://orcid.org/0000-0002-3515-4427
Marcos TatagibaDepartment of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany.ORCID http://orcid.org/0000-0002-1627-9937
Ghazaleh TabatabaiInstitute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.ORCID http://orcid.org/0000-0002-3542-8782
Melina HipplerDepartment of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany.
Mirjam RenovanzDepartment of Neurology & Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany.ORCID http://orcid.org/0000-0002-2824-3720

Funding

Federal Joint Committee (Gemeinsamer Bundesausschuss) 01VSF18011
6 · The paper itself

Abstract

purposeStructured 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.

methodsUsing 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.

resultsOf 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).

conclusionWhile 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.

Indexed as

Brain NeoplasmsGliomaMental DisordersPsychological DistressStress, PsychologicalAdultAgedFemaleGermanyHumansInterview, PsychologicalMaleMiddle AgedQuality of LifeROC CurveSurveys and QuestionnairesEmotional distressHigh-grade gliomaMental disorderPsychological burdenScreening toolStructured clinical interview (SCID)

Identifiers

PMID40745114
PMCPMC12313720

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.