O-311 Oncological treatments have limited effects on the fertility prognosis in testicular cancer: A systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Study question What is the prevalence of infertility defined by azoospermia, failure to achieve paternity or the usage of cryosperm after oncological treatments in testicular cancer? Summary answer The overall prevalence of infertility (95% CI) is 14% (9-21%) after all therapy types and 4% (2-10%) in a pooled subgroup of good-prognosis patients. What is known already Testicular cancer is the most common solid tumor among young men in the reproductive phase between 15 and 45 years. More than 95% of the patients become long-term survivors and up to 77% of cancer survivors report an interest in paternity after completing cancer treatment. Most guidelines recommend that physicians should counsel their patients about sperm cryopreservation before initiating gonadotoxic therapy. However, few studies have assessed fertility parameters after testicular cancer therapies over the last twenty years. Thus, this very first meta-analysis in a large pooled study population of patients functions as the best approximation of fertility prognosis so far. Study design, size, duration The systematic review and meta-analysis is part of the FertiTOX project (www.fertitox.com) which aims to close the gap of data regarding gonadotoxicity of cancer therapies to enable more accurate counselling regarding fertility preservation. It was performed on all published studies since 2000 that have reported the prevalence of azoospermia, the failure to achieve a pregnancy over 12 months of regular unprotected sexual intercourse or the usage of cryosperm after oncological treatments of unilateral testicular cancer. Participants/materials, setting, methods A systematic literature search was conducted in Medline, Embase and Cochrane in December 2022. For the systematic review, studies with men after all types of unilateral testicular cancer were included. For the meta-analysis, studies with unspecified treatments, < 10 patients for outcome evaluation or rare tumours were excluded. Infertility was defined as azoospermia, failure to achieve paternity or the usage of cryosperm. The quality of the individual studies was assessed using the Newcastle-Ottawa Scale. Main results and the role of chance A total of 126 studies remained following screening of the abstracts and fulltext for the subject of the study. Of these, 30 studies including 13718 men with a history of unilateral testicular cancer were eligible and analysed for qualitative synthesis. Sample sizes ranged from 17 to 4846 patients with a follow-up from 1-30 (mean 6.5) years. Histology included seminomas (43.9%), non-seminomas (49.6%) and sex cord or stromal tumors (0.01%). Treatment comprised active surveillance after unilateral orchidectomy (32.7%), radiotherapy (23.1%), standard or low-dose chemotherapy (33.7%) and high-dose chemotherapy (1.4%). Spermiograms after treatment were analysed in 17 studies. A quantitative synthesis was performed in 23 studies. To account for heterogeneity observed among studies, a random-effects model was used to estimate the prevalence and its 95% CI. The overall pooled prevalence of infertility (95% CI) in men with unilateral testicular cancer after standard oncological treatment was 14% (9-21%). Azoospermia after all types of oncological treatments appeared in 8% (6-12%) of the pooled study population. For good-prognosis patients who received standard therapy (i.e. surgery with or without retroperitoneal lymph node dissection, low- or standard dosed platin-based chemotherapy up to four cycles and / or radiotherapy), the overall prevalence of infertility was only 4% (2-10%). Limitations, reasons for caution First, the majority of the studies based on either questionnaire or register data with evident selection bias. Second, further subgroup analysis was impossible due to predominantly mixed treatment cohorts allowing only an approximation of standard therapy effects. Third, infertility might have occurred due to factors besides the oncological therapy. Wider implications of the findings Our meta-analysis includes all men with fertility outcome after testicular cancer therapy. Despite the overall low prevalence of infertility, sperm cryopreservation should still be recommended since it is unclear which therapy will follow after surgery and since there is no large longitudinal data for the various individual treatment effects. Trial registration number PROSPERO (Registry number CRD42023384057)
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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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.038 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".