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Fear of Cancer Recurrence in Adult Survivors of Childhood Cancer

2024· article· en· W4403085360 on OpenAlexafffund
Alex Pizzo, Wendy M. Leisenring, Kayla Stratton, E Lamoureux, Jessica S. Flynn, Kevin N. Alschuler, Kevin R. Krull, Lindsay Jibb, Paul C. Nathan, Jeffrey E. Olgin, Jennifer Stinson, Gregory T. Armstrong, Nicole M. Alberts

Bibliographic record

VenueJAMA Network Open · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick ChildrenConcordia University
FundersEurostarsNational Cancer InstituteNational Institutes of HealthNational Institute of Biomedical Imaging and BioengineeringInternational Progressive MS AllianceMultiple Sclerosis SocietyCanada Research ChairsAmerican Lebanese Syrian Associated CharitiesSt. Jude Children's Research Hospital
KeywordsMedicinePsychosocialCancerPoisson regressionCancer survivorDistressYoung adultCohortInternal medicineClinical psychologyPsychiatryPopulation

Abstract

fetched live from OpenAlex

Importance: Fear of cancer recurrence is common among survivors of adult-onset cancer and associated with increased distress, functional impairment, and health care utilization. However, little is known about the prevalence and risk factors of fear of cancer recurrence among adult survivors of childhood cancer who are also at high risk for subsequent malignant neoplasms. Objective: To characterize the prevalence of and risk factors for clinically significant fear of cancer recurrence in adult survivors of childhood cancer. Design, Setting, and Participants: This cross-sectional investigation included participants recruited from the Childhood Cancer Survivor Study, a retrospective cohort study of long-term childhood cancer survivors treated at 31 institutions between 1970 and 1999 across North America. Participants were recruited and completed psychosocial measures via online survey between October 2018 and April 2019. Cancer and treatment-related variables were abstracted from medical records. Data were analyzed from May 2023 to July 2024. Main Outcomes and Measures: Clinically significant fear of cancer recurrence was assessed via the Fear of Cancer Recurrence Inventory-Short Form. Poisson regression models estimated prevalence ratios (PRs) with 95% CIs adjusted for age and sex to examine the associations of demographic, disease, treatment, and psychosocial variables with fear of cancer recurrence. Results: The final sample included 229 adult survivors of childhood cancer (115 female [50.2%]; mean [SD] age, 39.6 [9.9] years; mean [SD] time since diagnosis, 31.7 [8.4] years). Among survivors, 38 (16.6%; 95% CI, 11.6%-21.6%) reported clinically significant fear of cancer recurrence, and an additional 36 (15.7%) reported high fear of cancer recurrence. Clinically significant fear of cancer recurrence was associated with unemployment (PR, 2.5; 95% CI, 1.3-4.8), presence of neurologic chronic health conditions (PR, 3.3; 95% CI, 1.8-6.1), treatment with pelvic radiation (PR, 2.9; 95% CI, 1.5-5.6), and amputation or limb sparing surgery (PR, 2.4; 95% CI, 1.2-4.9). Higher risk of clinically significant fear of cancer recurrence was also associated with having either elevated anxiety or depression (PR, 2.6; 95% CI, 1.2-5.9), having both elevated (PR, 3.2; 95% CI, 1.2-8.4), and perceived poor health status (PR, 3.0; 95% CI, 3.1-9.7). Conclusions and Relevance: Decades following treatment, one-third of childhood cancer survivors in this study reported elevated fear their cancer will recur or a subsequent malignant neoplasm will develop. Findings suggest that fear of cancer recurrence should be routinely screened, and clinically significant symptoms intervened upon as a part of survivorship care.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.354
Teacher spread0.327 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations17
Published2024
Admission routes2
Has abstractyes

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