Sexual function and satisfaction in Mexican young women undergoing breast cancer treatment.
Bibliographic record
Abstract
e21714 Background: Compared to other regions, the burden of breast cancer (BC) in Mexico is disproportionately borne by younger women. Yet, their particular needs and concerns have remained understudied, including treatment-related sexual adverse effects. We aim to assess the sexual function and satisfaction in Mexican young women with BC undergoing treatment. Methods: This is a prospective sexual assessment study in BC patients of the pilot phase of the Joven y Fuerte Mexican cohort (N=96). Sexual health was assessed using the Female Sexual Function Index (FSFI) and the Sexual Satisfaction Inventory (SSI) at two points in time: baseline (BL) and 6-months follow-up (6-FU). FSFI and SSI scores lower than 26.55 and 111, respectively, were defined as sexual morbidity. Differences between proportions of BL and 6-FU were examined with Pearson chi-square test. Matched t-tests were used to test for differences in the domains of the FSFI and in the SSI total score. Results: 70 women completed the FSFI at both time points and 69 the SSI. Our results showed a high percentage of sexual dysfunction among Mexican women at BL and 6-FU (61.4% and 74.3%, respectively, p<0.001), as well as an elevated proportion of sexual low satisfaction at both time lines (40.6% and 43.5%, p=0.004). Most 6-FU FSFI domain scores were significantly worse than those at BL (Table 1). There were no significant differences in the SSI total score (102.31 [BL] vs 96.11 [6-FU], p=0.16). Conclusions: Mexican young patients with BC report significant sexual morbidity at BL, which even worsens after the first short follow-up. Reasons for the low sexual performance among Mexican women remain understudied and should be actively sought. In this prospective study, data will be annually collected for five years. This information will provide valuable information in an often-neglected matter of BC patients’ care. [Table: see text]
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".