A Systematic Review of the Gonadotoxicity of Osteosarcoma and Ewing’s Sarcoma Chemotherapies in Postpubertal Females and Males
Bibliographic record
Abstract
Data on gonadotoxicity of chemotherapies are essential to better counsel young females and males about the risk of infertility and to better indicate fertility preservation measures before cancer therapies. However, such data have not recently been reviewed for bone cancer. Therefore, a systematic literature search was conducted considering papers published since 2000. This study is part of the FertiTOX ® project, which aims to improve the lack of data regarding gonadotoxicity of cancer therapies to enable more accurate counseling regarding fertility preservation. Only relapse-free women and men were included. Gonadotoxic therapy-induced suspected infertility was defined as very low anti-mullerian hormone, high gonadotropin concentration, amenorrhea, oligomenorrhea, azoospermia, or oligozoospermia. The quality of the individual studies was assessed using the Newcastle–Ottawa Scale (NOS). In total, 11 out of 831 studies were included in the review. Suspected infertility was found in 10/190 (5.1%, range 0%–66%) of female patients with osteosarcoma (six studies), in 24/46 (52.2%, range 46%–100%) of male patients with osteosarcoma (three studies), in 18/138 (13.0%, range 3%–18%) of female patients with Ewing’s sarcoma (three studies), and in 34/38 (89.5%) of male patients with Ewing’s sarcoma (one study). A risk calculation in relation to specific chemotherapies was not possible. Risk of suspected infertility tends to be higher in Ewing’s sarcoma in which all patients received chemotherapies with alkylating agents. Two of the 11 included studies received a high NOS quality score, whereas the remaining nine studies received a low quality score, mainly because of the lack of a comparator group. Published data are too limited for precise estimation of the gonadotoxicity. However, data indicate clinically relevant risk for infertility, supporting counseling patients before chemotherapy about fertility preservation measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".