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Record W2061007733 · doi:10.1002/pbc.22975

Late effects in childhood cancer survivors: A review with a framing effect bias?

2011· review· en· W2061007733 on OpenAlexaff
Christopher Fryer

Bibliographic record

VenuePediatric Blood & Cancer · 2011
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineLife expectancyAdverse effectChildhood cancerMalignancyPediatricsCancerAnthracyclinePopulationInternal medicineEnvironmental healthBreast cancer

Abstract

fetched live from OpenAlex

Most publications report the adverse (negative) health issues in childhood cancer survivors. Presenting information to the newly diagnosed patient in a positive manner is advocated, while noting that recurrence is the most likely adverse event. Re-analysis of population-based studies on life-threatening toxicities from Nordic, Dutch, United Kingdom, French, Italian, and N. American publications shows that 5-year survivors have a near normal life expectancy, 75% have no severe or life-threatening treatment related toxicity and 87% remain free of a second malignancy. Children who received radiation or anthracycline >250-300 mg/m(2) are at greatest risk for treatment related life-threatening toxicities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.035
GPT teacher head0.338
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainMethods
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

Citations15
Published2011
Admission routes1
Has abstractyes

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