ArticleCurrent oncology (Toronto, Ont.)2023
Predictive Factors Associated with Declining Psycho-Oncological Support in Patients with Cancer.
Article in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07544446 (The Impact of a Standardised Initial Contact by a Psycho-oncological Counsellor on Anxiety and Depression, Quality of Life and the Use of Psycho-oncological Support in Cancer Patients), which is not on this map. Cited by 3 papers.
What it found
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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.
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.
The Impact of a Standardised Initial Contact by a Psycho-oncological Counsellor on Anxiety and Depression, Quality of Life and the Use of Psycho-oncological Support in Cancer Patients: A Patient-initiated Multicentre Randomised Controlled Study - the Psycho-oncological Initial Contact Study (PICS)
Who cites it
3 citing papers in PubMed.
- The Experience of Depression in Older Adults With Cancer: A Qualitative Descriptive Analysis.Psycho-oncology · 2026Article
- Article
- Understanding Reasons for Cancer Disparities in Italy: A Qualitative Study of Barriers and Needs of Cancer Patients and Healthcare Providers.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: International cancer treatment guidelines recommend low-threshold psycho-oncological support based on nurses' routine distress screening (e.g., via the distress thermometer and problem list). This study aims to explore factors which are associated with declining psycho-oncological support in order to increase nurses' efficiency in screening patients for psycho-oncological support needs. (2) Methods: Using machine learning, routinely recorded clinical data from 4064 patients was analyzed for predictors of patients declining psycho-oncological support. Cross validation and nested resampling were used to guard against model overfitting. (3) Results: The developed model detects patients who decline psycho-oncological support with a sensitivity of 89% (area under the cure of 79%, accuracy of 68.5%). Overall, older patients, patients with a lower score on the distress thermometer, fewer comorbidities, few physical problems, and those who do not feel sad, afraid, or worried refused psycho-oncological support. (4) Conclusions: Thus, current screening procedures seem worthy to be part of daily nursing routines in oncology, but nurses may need more time and training to rule out misconceptions of patients on psycho-oncological support.
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Registered trials
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