Protocol for a Prospective Cohort Study to Evaluate Changes in Sexuality in Patients With Primary Cervical Cancer Using Patient-Reported Outcomes (JGOG9004, SARAH Study), and Our Approaches to Solving the Unmet Needs of Patients With Gynecological Cancer
Bibliographic record
Abstract
Objective: Sexuality is a crucial quality of life (QOL) issue for patients with cancer. In patients with cervical cancer, sexuality is affected by both the disease and the therapy for it. This study aims to explore changes in sexuality following cancer treatment in Japanese patients with cervical cancer, using scales such as the Female Sexual Function Index (FSFI) for sexual dysfunction and the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression. Methods: This multicenter prospective cohort study is being performed in 33 hospitals of the Japanese Gynecologic Oncology Group (JGOG), evaluating patients with stage IA - IIIB primary cervical cancer who are scheduled to undergo surgery or radiation therapy, including concurrent chemoradiation, with curative intent. Patients can visit the uniform resource locator (URL) listed in the email to complete the survey. The online survey is performed at baseline and at 1 year following curative surgery or radiation therapy. As of March 31, 2023, 200 participants have been recruited for this ongoing study. Discussion: The results of this study are expected to highlight sexuality as an unmet need among patients with cervical cancer. Conducting the study may facilitate discussions between patients and healthcare providers regarding sexual issues. J Clin Gynecol Obstet. 2023;12(2):59-64 doi: https://doi.org/10.14740/jcgo892
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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 | 0.026 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.079 | 0.016 |
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".