Psychological aspects in patients with advanced cancer receiving lifelong systemic treatment: protocol for a scoping review
Bibliographic record
Abstract
INTRODUCTION: A better understanding of the molecular, genetic and immunological characteristics of cancer and the introduction of new systemic treatment regimens in the last decades, has led to better treatment outcomes and increased survival rates for patients with previously short lived cancers. However, there is no uniform description to refer to this growing group of patients with advanced cancer who now respond to new systemic treatments for longer periods. Furthermore, little is known about the unique psychological challenges these patients face, living with ongoing uncertainty about the course of their disease and life expectancy. The objective of this scoping review is to identify the psychological aspects experienced by, and the definitions used to refer to patients with advanced cancer receiving lifelong systemic treatment. METHODS AND ANALYSIS: This review will be among the first to summarise literature on the psychological issues in the growing group of advanced cancer patients undergoing long-term systemic treatment. Articles will be retrieved from six databases (MEDLINE, Embase, Web of Science, PsycINFO, CINAHL and the Cochrane Database of Systematic Reviews) and reviewed for eligibility by two investigators independently. Definitions and psychological challenges will be extracted and narratively summarised following a descriptive approach. Furthermore, results will contribute in providing a uniform definition for this patient group, and help to identify knowledge gaps to give direction to further research in this field. ETHICS AND DISSEMINATION: No ethical approval is required. The results of the scoping review will be submitted for publication to a scientific journal and presented at relevant conferences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.056 | 0.045 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.012 | 0.014 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.050 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".