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Record W3107883524 · doi:10.1002/pon.5600

Mother–child communication about possible cancer recurrence during childhood cancer survivorship

2020· article· en· W3107883524 on OpenAlexaff
Lexa K. Murphy, Kemar V. Prussien, Erin M. Rodríguez, Jackson M. A. Hewitt, Laura E. Schwartz, Amanda C. Ferrante, Cynthia A. Gerhardt, Kathryn Vannatta, Bruce E. Compas

Bibliographic record

VenuePsycho-Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of British Columbia
FundersNational Cancer Institute
KeywordsAffect (linguistics)Survivorship curveCancer recurrenceDistressMedicineCancerChildhood cancerCancer survivorshipClinical psychologyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Providing opportunities to communicate about possible cancer recurrence may be adaptive for youth in remission, yet parents may experience difficulty guiding discussions related to fears of cancer recurrence (FCR). This study aimed to characterize mother-child discussions about potential cancer recurrence during post-treatment survivorship and to determine predictors of maternal communication. METHODS: Families (N = 67) were recruited after the child's initial cancer diagnosis (age 5-17 years) and mothers self-reported their distress (post-traumatic stress symptoms; PTSS). During survivorship 3-5 years later, mothers were video-recorded discussing cancer with their children. Presence and length of discussion about potential cancer recurrence, triggers for FCR, expressed affect, and conversational reciprocity were examined. Hierarchical regressions were used to assess maternal PTSS near the time of cancer diagnosis and child age as predictors of maternal communication. RESULTS: Three-quarters of dyads spontaneously discussed risk for or fears about cancer recurrence; mothers initiated the topic more frequently than their children. Dyads discussed internal (bodily symptoms) and external (medical, social) triggers of FCR. Higher maternal PTSS at diagnosis predicted significantly lower levels of maternal positive affect (β = -0.36, p = 0.02) and higher levels of maternal negative affect (β = 0.30, p = 0.04) during discussion of recurrence 3-5 years later. Older child age significantly predicted higher levels of maternal negative affect (β = 0.35, p = 0.02). Higher maternal PTSS at diagnosis predicted shorter discussions about recurrence for younger children (β = 0.27, p = 0.02). CONCLUSIONS: Understanding predictors and characteristics of mother-child discussions about recurrence can guide family-based FCR interventions, particularly those promoting communication as a supportive tool. Both maternal PTSS and child age are important to consider when developing these interventions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

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)0.0020.000

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 head0.057
GPT teacher head0.385
Teacher spread0.328 · 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.

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
Published2020
Admission routes1
Has abstractyes

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