The effect of age and gender on bladder cancer: a critical review of the literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While patient age and gender are important factors in the clinical decision-making for treating urothelial carcinoma of the bladder (UCB), there are no evidence-based recommendations to guide healthcare professionals. We review previous reports on the influence of age and gender on the incidence, biology, mortality and treatment of UCB. Using MEDLINE, we searched for previous reports published between January 1966 and July 2009. While men are three to four times more likely to develop UCB than women, women present with more advanced disease and have worse survival rates. The disparity among genders is proposed to be the result of a differential exposure to carcinogens (i.e. tobacco and chemicals) as well as reflecting genetic, anatomical, hormonal, societal and environmental factors. Inpatient length of stay, referral patterns for haematuria and surgical outcomes suggest that inferior quality of care for women might be an additional cause of gender inequalities. Age is the greatest single risk factor for developing UCB and dying from it once diagnosed. Elderly patients face both clinical and institutional barriers to appropriate treatment; they receive less aggressive treatment and sub-therapeutic dosing. Much evidence suggests that chronological age alone is an inadequate indicator in determining the clinical and behavioural response of older patients to UCB and its treatment. Epidemiological and mechanistic molecular studies should be encouraged to design, analyse and report gender- and age-specific associations. Improved bladder cancer awareness in the lay and medical communities, careful patient selection, treatment tailored to the needs and the physiological and physical reserve of the individual patient, and proactive postoperative care are particularly important. We must strive to develop transdisciplinary collaborative efforts to provide tailored gender- and age-specific care for patients with UCB.
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.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it