USPSTF Recommendation Against PSA Screening vs. Stage and Cancer‐Specific Mortality in Localized Prostate Cancer
Bibliographic record
Abstract
BACKGROUND: The USPSTF recommendation against PSA screening (RAPS) in 2012 resulted in unfavorable changes in prostate cancer (PCa) outcomes. However, the effect on cancer-specific mortality (CSM) in localized PCa has not been assessed. METHODS: Within the Surveillance, Epidemiology, and End Results database (2004-2021), we identified patients treated with radiotherapy (RT) or radical prostatectomy (RP) for localized PCa. Time trends were examined using least-squares linear regression. Multivariable Cox regression was used to study the association between RAPS and PCa-mortality. RESULTS: Of 270,092 patients aged < 75 years, 191,621 (70.1%) were treated before and 78,471 (29.1%) in the RAPS era. CSM at 6 years of follow-up was 1.6% (95% confidence interval [CI]: 1.6, 1.7) before and 1.9% (95%CI: 1.8, 2.0) in the RAPS era (p < 0.001). In multivariable Cox models adjusted to patient characteristics, RAPS era independently predicted 1.2-fold higher CSM overall (95%CI: 1.1, 1.3; p < 0.001), 1.3-fold higher CSM in RP-patients (95%CI: 1.1, 1.4; p < 0.001), and 1.1-fold higher CSM in RT-patients (95%CI: 1.02, 1.2; p = 0.02) aged < 75 years. Of 33,688 patients aged ≥ 75 years, 12,485 (37.1%) were treated before and 21,203 (62.9%) in the RAPS era. CSM at 6 years of follow-up was 4.2% (95%CI: 3.8, 4.6) before and 4.8% (95%CI: 4.5, 5.1) in the RAPS era (p = 0.002). In multivariable Cox models adjusted to patient characteristics, RAPS era did not predict higher CSM overall, in RP-patients, or in RT-patients (all p ≥ 0.5) aged ≥ 75 years. Limitations include changes in early detection and disease management over time, which might have impacted CSM as well. CONCLUSIONS: The USPSTF RAPS introduction resulted in a 1.2-fold higher CSM in localized PCa patients aged < 75 years, but not in patients aged ≥ 75 years. The time trend analysis suggested that this negative effect has become increasingly pronounced since the USPSTF RAPS.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".