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Record W1970899892 · doi:10.1159/000182571

Leukemia in Growth-Hormone Treated Patients: An Update, 1992

2008· review· en· W1970899892 on OpenAlexaboutno aff
N Stahnke

Bibliographic record

VenueHormone Research · 2008
Typereview
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLeukemiaFanconi anemiaChemotherapyInternal medicineIncidence (geometry)Radiation therapyOncologyGrowth hormone deficiencyGrowth hormonePediatricsHormoneGastroenterologyBiology

Abstract

fetched live from OpenAlex

Since 1988 the number of growth hormone (GH)-treated patients has markedly increased worldwide. To date, leukemia has been observed in 31 patients during or following GH therapy and related malignancies in 2 further patients. Leukemia occurred in 10 patients in Japan, 10 in the USA, and 10 in Europe, and in 1 patient in Canada. In 29 patients GH therapy had been started in 1975 or later. The onset of leukemia was 1984 or later in 28 patients with a mean time between the start of GH therapy and leukemia onset of 5.0 (0.2-18.8) years. Patients had received both pituitary and recombinant GH in moderate doses. In 15 patients definite additional leukemia risk was evident: Fanconi anemia in 2, myelodysplastic syndrome in 1, Bloom's syndrome in 1, radiation for brain tumor (+chemotherapy) in 9, chemotherapy in 2. The leukemic patients without a strong additional risk do not represent a definitely higher leukemia incidence worldwide, except for Japan where the occurrence is higher than expected.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.112
GPT teacher head0.396
Teacher spread0.284 · 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 designNot applicable
Domainnot available
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

Citations61
Published2008
Admission routes1
Has abstractyes

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