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Record W2133673875 · doi:10.1002/pbc.21299

Self and proxy‐reported health status and health‐related quality of life in survivors of childhood cancer in Uruguay

2007· article· en· W2133673875 on OpenAlexaff
Mark Fluchel, John Horsman, William Furlong, Luis Castillo, Yasmine Alfonz, Ronald D. Barr

Bibliographic record

VenuePediatric Blood & Cancer · 2007
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Childhood cancerProxy (statistics)MirroringPediatricsDiseaseInterviewCancerGerontologyDemographyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of cancer in children in Uruguay is similar to that in industrialized societies but the survival rate is half as great. This study assesses another important measure of treatment effectiveness: the health-related quality of life (HRQL) of survivors. METHODS: All new patients diagnosed in a 3-year period were eligible if free of disease for at least 2 years after therapy and at least 7 years of age at the time of study. A sample of convenient subjects for comparison was obtained from schools and clinics for well children. During a 7-month period, Spanish language interviewer-administered questionnaires were used to collect Health Utilities Index data from survivors and the comparison group (self-reports), and from proxies (parents, physicians, and teachers). RESULTS: Of 113 eligible survivors, 95 (84%) participated together with 96 "control" subjects. Control subjects have a higher mean HRQL utility score than survivors (P < 0.001). The mean score for survivors of acute lymphoblastic leukemia (ALL): 0.72 (n = 49) is higher than the score for survivors of brain tumors: 0.60 (n = 20), as expected. Inter-rater agreement is highest between survivors and parents, and lowest between controls and physicians or teachers. CONCLUSIONS: The burden of morbidity in survivors of childhood cancer in Uruguay is considerable and greater than that in a comparative group of healthy children. Survivors of ALL have better HRQL than survivors of brain tumors, mirroring experience elsewhere. The level of inter-rater agreement is related to the degree of familiarity of the pair-members of respondents with each other.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.352
Teacher spread0.322 · 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

Citations44
Published2007
Admission routes1
Has abstractyes

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