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Record W2182223636 · doi:10.1093/jnci/dju231

Risk of Premature Menopause After Treatment for Hodgkin's Lymphoma

2014· letter· en· W2182223636 on OpenAlexaff
Ronald D. Barr

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2014
Typeletter
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPremature MenopauseMenopauseMedicineLymphomaHodgkin lymphomaPediatricsIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Gonadal toxicity from chemotherapy and radiotherapy in patients with cancer is a well-recognized complication of treatment. The germinal epithelium of the testis may be more sensitive in this regard than the corresponding tissue in the ovary, reflecting the fact that continuing gametogenesis is limited to the male gonad. As a corollary, the risk of premature andropause is less than that of premature menopause because of the relative resistance of the Leydig cells in the testis to radiation and radiomimetic chemotherapy, exemplified by the use of alkylating agents such as cyclophosphamide. Consequently, while men are more likely to experience loss of fertility with the same exposure to antineoplastic therapy, women face the added burden of estrogen deprivation with its attendant morbidities. Oncofertility, a term coined less than a decade ago by Dr. Teresa Woodruff ( 1 ), has become a “hot button” issue for young people with cancer ( 2 ), but for women premature ovarian failure carries health hazards that extend beyond the end of the reproductive period ( 3 ). As a result, the findings reported by Prof. Swerdlow and colleagues in young women who were treated for Hodgkin’s lymphoma (HL) ( 4 ) are of considerable clinical relevance. Moreover, as a population-based study to which a large number of subjects were recruited, the results have important implications for the long-term health of young adult female cancer survivors. The plot thickens for women who received treatment for HL that included radiotherapy to the chest, because they are at high risk of developing breast cancer, as has been reported by Swerdlow et al. ( 5 ). If they are also menopausal, they will not be able to take estrogen-containing hormone replacement therapy when they have estrogen-receptor positive tumors.

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)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.046
GPT teacher head0.335
Teacher spread0.289 · 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
GenreCommentary

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

Citations13
Published2014
Admission routes1
Has abstractyes

Explore more

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