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Record W1605115465 · doi:10.1002/cncr.21249

Long-term outcomes of adult survivors of childhood cancer

2005· article· en· W1605115465 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer · 2005
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Alberta
FundersNational Cancer Institute
KeywordsMedicineCancerCohortQuality of life (healthcare)DiseasePopulationPediatricsAdverse effectPediatric cancerLow birth weightPsychosocialCohort studyOffspringPregnancyGerontologyInternal medicineEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

During the past 30 years, changes in the treatment of children and adolescents with cancer have led to substantial improvements in survival. Although treatment-related factors have been shown to impact subsequent health status and quality of life, there is limited information on survivors who are now two or more decades after treatment. The Childhood Cancer Survivor Study (CCSS) was established as a resource for investigating the long-term outcomes of a cohort of 5-year survivors of childhood and adolescent cancer, diagnosed between 1970-1986. The CCSS cohort has more than 14,000 active participants, including survivors of leukemia, brain tumors, Hodgkin disease, non-Hodgkin lymphoma, Wilms tumor, neuroblastoma, soft-tissue sarcoma, and bone tumors. Study participants, extensively characterized by their cancer therapy, have provided self-reported sociodemographic- and health-related information. Although the survivor population has been found to be at significantly increased risk of several adverse outcomes, such as late mortality, second cancers, pulmonary complications, pregnancy loss, low birth weight of offspring, and decreased education, the overall proportion of survivors affected is relatively small. Subgroups at high risk of adverse outcomes, defined by treatment-related, demographic, or medical factors, can be identified. The ongoing evaluation of large and diverse cohorts of cancer survivors will aid in further identifying individuals who should be the target of innovative intervention strategies.

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.

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 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 score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.028
GPT teacher head0.342
Teacher spread0.315 · 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