Prostate cancer screening: Attitudes and practices of family physicians in Ontario
Bibliographic record
Abstract
INTRODUCTION: : The utility of prostate cancer screening is controversial. We sought to determine whether Ontario's family physicians believe it is beneficial and to characterize their screening protocols. METHODS: : A survey was developed with input from urologists, family physicians and the Ontario Medical Association's Section on General and Family Practice. Questions covered three domains: (1) demographics, (2) beliefs about screening utility and (3) screening practices. All 7302 family physicians in Ontario were invited by email to complete the online survey. RESULTS: : A total of 969 physicians completed the survey; 955 (52.0% male, 48.0% female) were included. Most (80.97%) use prostate-specific antigen (PSA) and digital rectal examination (DRE) for screening; 9.4% use DRE alone and 7.15% PSA. Of the respondents, 8.3% do not offer prostate cancer screening. Most physicians begin offering screening at age 50 (72.9%) and stop at ages 70 or 80 (68.4%); 17.9% offer lifelong screening. In response to the statement "screening with DRE provides a survival benefit," 37.6% and 32.6 agreed and disagreed, respectively. For "screening with PSA provides a survival benefit," 43.3% agreed and 31.0% disagreed. For the statement "the benefits of prostate cancer screening outweigh the risks," 51.4% agreed and 22.0% disagreed. DISCUSSION: : Although 91.7% of respondents offer prostate cancer screening, they are divided over its utility. Only 51.4% were convinced that the benefits outweighed the harms. There is significant variability between physicians' screening protocols. A limitation of this study is the possibility of selection bias. Nevertheless, this is the largest sample of Ontario family physicians ever surveyed about prostate cancer screening and highlights divergent physician practices and a need for more conclusive evidence on screening utility.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".