A systematic review of randomised controlled trials of radiotherapy for localised prostate cancer
Bibliographic record
Abstract
BACKGROUND: Prostate cancer is the second most frequently diagnosed cancer and the sixth leading cause of cancer death in males. A systematic review of randomised controlled trials (RCTs) of radiotherapy and other non-pharmacological management options for localised prostate cancer was undertaken. METHODS: A search of thirteen databases was carried out until March 2014. RCTs comparing radiotherapy (brachytherapy (BT) or external beam radiotherapy (EBRT)) to other management options i.e. radical prostatectomy (RP), active surveillance, watchful waiting, high intensity focused ultrasound (HIFU), or cryotherapy; each alone or in combination, e.g. with adjuvant hormone therapy (HT), were included. Methods followed guidance by the Centre for Reviews and Dissemination and the Cochrane Collaboration. Indirect comparisons were calculated using the Bucher method. RESULTS: Thirty-six randomised controlled trials (RCTs, 134 references) were included. EBRT, BT and RP were found to be effective in the management of localised prostate cancer. While higher doses of EBRT seem to be related to favourable survival-related outcomes they might, depending on technique, involve more adverse events, e.g. gastrointestinal and genitourinary toxicity. Combining EBRT with hormone therapy shows a statistically significant advantage regarding overall survival when compared to EBRT alone (Relative risk 1.21, 95% confidence interval 1.12-1.30). Aside from mixed findings regarding urinary function, BT and radical prostatectomy were comparable in terms of quality of life and biochemical progression-free survival while favouring BT regarding patient satisfaction and sexual function. There might be advantages of EBRT (with/without HT) compared to cryoablation (with/without HT). No studies on HIFU were identified. CONCLUSIONS: Based on this systematic review, there is no strong evidence to support one therapy over another as EBRT, BT and RP can all be considered as effective monotherapies for localised disease with EBRT also effective for post-operative management. All treatments have unique adverse events profiles. Further large, robust RCTs which report treatment-specific and treatment combination-specific outcomes in defined prostate cancer risk groups following established reporting standards are needed. These will strengthen the evidence base for newer technologies, help reinforce current consensus guidelines and establish greater standardisation across practices.
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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 | 0.010 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.011 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".