A protocol for an updated and expanded systematic mixed studies review of fear of cancer recurrence in families and caregivers of adults diagnosed with cancer
Bibliographic record
Abstract
BACKGROUND: Fear of cancer recurrence (FCR) is reportedly common, persistent, associated with significant morbidity and often higher in cancer caregivers than cancer patients. This review will summarise empirical research on FCR to understand its prevalence, severity, correlates, course and impact in families and caregivers of adults diagnosed with cancer, and identify tested interventions that reduce its effects. METHODS: This review will include peer-reviewed, empirical, qualitative and/or quantitative studies on fear, worry or concern of patients' cancer returning or progressing among adult family members or caregivers of the cancer patient. It will exclude records reporting no original empirical research on FCR. We will search CINAHL, Embase, PubMed, PsycINFO, ProQuest Dissertations and Theses GLOBAL from 1997 onwards. Pairs of reviewers will conduct independent screening, data extraction and risk of bias assessment. Risk of bias will be assessed with the Cochrane Risk of Bias tool for randomised studies, the Risk of Bias Assessment tool for Nonrandomized Studies and the questions for qualitative studies in the mixed methods appraisal tool. We will conduct a narrative synthesis of quantitative studies and a thematic synthesis of qualitative studies. DISCUSSION: This review will provide further clarity on the prevalence and severity of FCR in families and caregivers and differences by caregiver and care recipient demographic and medical characteristics. Any intervention studies located may indicate therapies or treatments that could reduce FCR in families and caregivers. Findings are expected to provide guidance for individuals and organisations working to manage FCR in families and caregivers of those with cancer. SYSTEMATIC REVIEW REGISTRATION: This protocol will be registered with PROSPERO after peer-review.
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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 | 0.105 | 0.171 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.012 | 0.014 |
| Bibliometrics | 0.019 | 0.022 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.128 | 0.017 |
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".