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Record W175282001

The medical care cost of childhood and adolescent cancer in Manitoba, 1990-1995.

2002· article· en· W175282001 on OpenAlexaffabout
Wei Luo, Rachel Lane, Kent Stobart, Howard Morrison, Dena L. Schanzer, Ronald D. Barr, Mark Greenberg

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMedicineChildhood cancerCancerBone marrow transplantMedical recordPediatricsMedical careRetrospective cohort studyHealth careFamily medicineBone marrow transplantationSurgeryInternal medicineTransplantation
DOInot available

Abstract

fetched live from OpenAlex

The main purpose of this study is to estimate the medical care costs of childhood and adolescent cancer in Manitoba, and to determine the elements that influence these costs. Retrospective chart reviews were done to obtain all the information. A total of 118 childhood (age 0-14 years) and 41 adolescent (age 15-19 years) cancer patients were included. For childhood cancer, in-patient hospitalizations accounted for 59% of the total cost, followed by bone marrow transplant (BMT) (9%), medications (8%), laboratory investigations (7%) and physician fees (7%). For adolescent cancer, in-patient hospitalization accounted for 37% of the total cost, followed by bone marrow transplant (BMT) (25%), physicians' fees (11%), medications (9%) and laboratory investigations (7%). Overall, the average cost for the first, second and third year following diagnosis was $50,902 (median 35,708), $13,939 (4,127) and $6,769 (2,565) respectively for childhood cancer patients, and $57,354 (24,192), $16,888 (3,267) and $3,436 (3,267) respectively for adolescent cancer patients. Further work involving long-term data linkage of medical charts with hospital and clinic financial billing codes is needed to provide more accurate estimates of the costs of childhood and adolescent cancer 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 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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.141
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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.

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

Citations18
Published2002
Admission routes2
Has abstractyes

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Same venuePubMed→Same topicChildhood Cancer Survivors' Quality of Life→French-language works237,207→