Prevalence of Male and Female Sexual Dysfunction Is High Following Surgery for Rectal Cancer
Bibliographic record
Abstract
In Brief Objective: To measure sexual function and quality of life (QOL) after rectal cancer treatment. Summary Background Data: Previous studies on sexual function after rectal cancer treatment have focused on males and have not used validated instruments. Methods: Patients undergoing curative rectal cancer surgery from 1980 to 2003 were administered a questionnaire, including the Female Sexual Function Index (FSFI) or International Index of Erectile Function (IIEF), and the EORTC QLQ-C30/CR-38. Multiple logistic regression was used to test associations of clinical factors with outcomes. Results: Eighty-one women (81.0%) and 99 men (80.5%) returned the questionnaire; 32% of women and 50% of men are sexually active, compared with 61% and 91% preoperatively (P < 0.04); 29% of women and 45% of men reported that “surgery made their sexual lives worse.” Mean (SD) FSFI and IIEF scores were 17.5 (11.9) and 29.3 (22.8). Specific sexual problems in women were libido 41%, arousal 29%, lubrication 56%, orgasm 35%, and dyspareunia 46%, and in men libido 47%, impotence 32%, partial impotence 52%, orgasm 41%, and ejaculation 43%. Both genders reported a negative body image. Patients seldom remembered discussing sexual risks preoperatively and seldom were treated for dysfunction. Current age (P < 0.001), surgical procedure (P = 0.003), and preoperative sexual activity (P = 0.001) were independently associated with current sexual activity. Gender (male, P = 0.014), surgical procedure (P = 0.005), and radiation therapy (P = 0.0001) were independently associated with the outcome “surgery made sexual life worse.” Global QOL scores were high. Conclusions: Sexual problems after surgery for rectal cancer are common, multifactorial, inadequately discussed, and untreated. Therefore, sexual dysfunction should be discussed with rectal cancer patients, and efforts to prevent and treat it should be increased. Validated questionnaires measuring sexual function and quality of life (QOL) were returned by 180 patients curatively treated for rectal cancer. Male and female sexual dysfunction was common and multifactorial, but overall QOL was preserved. Male gender, abdominoperineal resection, and radiation therapy were independently associated with an increased rate of sexual dysfunction.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".