Bibliographic record
Abstract
The use of multiple agent chemotherapy and combined modality treatment of childhood and adolescent cancers has markedly increased survival rates. Thus, the majority of young cancer patients survive into adulthood and the potential long-term consequences of the therapies are of ongoing concern. Alkylating agents have proven to be the most toxic to the ovaries; however radiation is also extremely gonadotoxic. In addition, combination of these modalities will produce additive effects in terms of ovarian damage (follicle depletion). As a result, there are increasing numbers of young cancer survivors with impaired or absent gonadal function. Advances in the field of assisted reproductive technology (ART) provide hope that the reproductive impact of cancer therapy can be reduced. Those technologies that may be applicable prior to gonadotoxic therapy are pretreatment ovarian protection with oral contraceptives or gonadotropin releasing hormone agonist; ART using pretreatment cryopreservation of embryos or gametes; posttreatment ART with donor gametes or embryos; or adoption. However, ovarian protection is not of proven benefit and oocyte/ovary cryopreservation has had only limited success to date. Information regarding cancer treatment's possible effects on fertility and ways to potentially circumvent these should be part of routine counseling to allow the patient to make an informed decision.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".