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Record W2159979641 · doi:10.1200/jco.2008.16.1190

Resolving the Optimal Timing of Radiotherapy After Radical Prostatectomy: The Need for Further Research

2008· letter· en· W2159979641 on OpenAlexaboutno aff
Christopher Parker, Matthew R. Sydes

Bibliographic record

VenueJournal of Clinical Oncology · 2008
Typeletter
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsnot available
FundersCancer Research UK
KeywordsMedicineProstatectomyRadiation therapyProstate cancerUrologySurgeryInternal medicineCancer

Abstract

fetched live from OpenAlex

TO THE EDITOR: Van der Kwast and colleagues recently provided an excellent summary of the published randomized controlled trials of postoperative radiotherapy after radical prostatectomy. They highlight remaining areas of uncertainty and, in particular, the ongoing doubt concerning the optimum timing of postoperative treatment. The possibility of a second wave of metastases arising from residual local disease, before elevation of serum prostate-specific antigen (PSA) levels is detected, is a strong argument for immediate (adjuvant) radiotherapy. In contrast, the financial cost and the morbidity of radiotherapy, together with the pattern of failure analysis of the Southwest Oncology Group 8794 trial, argue for a policy of deferred (salvage) radiotherapy at the time of PSA failure. Given the large number of men treated with radical prostatectomy and the trend towards surgical treatment of men with high-risk and locally advanced disease, the optimum timing of postoperative radiotherapy is an important and unresolved issue. The completed randomized trials described by Van der Kwast et al, although valuable, do little to resolve this issue because they compared immediate radiotherapy with a policy of deferring radiotherapy until clinical (and not biochemical) progression. A large-scale randomized controlled trial is required to study the timing of postoperative radiotherapy with respect to long-term clinical outcomes. The recently opened Radiotherapy and Androgen Deprivation in Combination After Local Surgery (RADICALS) trial is an Intergroup phase III trial, run by the Medical Research Council Clinical Trials Unit in the United Kingdom, and by the National Cancer Institute Clinical Trials Group in Canada, that aims to recruit over 4,000 patients (ISRCTN40814031). The trial has a pragmatic design: men who have had a radical prostatectomy, and for whom there is uncertainty regarding the optimum timing of postoperative radiotherapy, may be randomly assigned to either adjuvant radiotherapy or early salvage radiotherapy at PSA failure. This is the Radiotherapy Timing Randomisation and will recruit around 2,700 patients. In addition, all men receiving postoperative radiotherapy, whether in the adjuvant or salvage setting, may also be randomized between radiotherapy alone, radiotherapy plus 6 months of hormone therapy, or radiotherapy plus 24 months of hormone therapy (Hormone Duration Randomisation). The RADICALS recruitment target is ambitious but achievable. We are grateful to Van der Kwast and his colleagues for highlighting the uncertainty regarding the optimum timing of postoperative radiotherapy following radical prostatectomy. This uncertainty can only be resolved by appropriately designed phase III trials. Centers or trial groups that would be interested in taking part in the RADICALS trial are invited to contact the Medical Research Council’s Clinical Trials Unit by visiting their Web site.

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 imitation

Not 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.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.153
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.033
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.153
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0040.007
Open science0.0050.001
Research integrity0.0150.029
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.257
GPT teacher head0.518
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations15
Published2008
Admission routes1
Has abstractyes

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