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Record W4408453570 · doi:10.1016/j.aggp.2025.100141

Traumatic stress in caregivers of adult patients with cancer: A scoping review

2025· review· en· W4408453570 on OpenAlexaff
Elizaveta Klekovkina, Maya Stern, Carmine Malfitano, Esme Fuller‐Thomson

Bibliographic record

VenueArchives of Gerontology and Geriatrics Plus · 2025
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsCentre for Addiction and Mental HealthPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineCancerPsychologyGerontologyInternal medicine

Abstract

fetched live from OpenAlex

The goal of this review was to critically review the research literature on traumatic stress in caregivers of adult cancer patients. Objectives included identifying the prevalence of significant traumatic stress symptoms, themes within the literature, and factors that are associated with traumatic stress in this population. A search was conducted of APA PsycInfo, MEDLINE, Embase, and CINAHL. Two authors screened abstracts and full-texts and extracted data from included articles. A total of 1,150 unique titles and abstracts were identified, with 2f articles selected for full-text screening after title and abstract screening. There were 23 studies which were included in the review. Most studies reported a prevalence of PTSD of 15 % and above. The caregivers of newly diagnosed patients, those with recurrent cancer, and those on active treatment were the most distressed. Caregivers of patients who had completed treatment and those of longer-term survivors were less distressed. Significant associations were identified between caregiver traumatic stress and caregiver and patient psychological comorbidity, lower social support, higher caregiver burden, and patient's greater physical symptoms. This scoping review reveals that a substantial proportion of caregivers of adult patients with cancer experience traumatic stress. However, the majority of published studies are cross-sectional, with small sample sizes, and a lack of racial and gender diversity. There is an urgent need for further research, including on proactive and tailored interventions provided at the time of diagnosis or recurrence of the disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.689
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.406
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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