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Record W4406973835 · doi:10.1016/s1470-2045(24)00720-4

The interplay between acute and late toxicity among patients receiving prostate radiotherapy: an individual patient data meta-analysis of six randomised trials

2025· review· en· W4406973835 on OpenAlexaff
John Nikitas, Parsa Jamshidian, Alison Tree, Emma Hall, David P. Dearnaley, Jeff M. Michalski, W. Robert Lee, Paul L. Nguyen, Howard M. Sandler, Charles Catton, Luca Incrocci, Wilma D. Heemsbergen, Floris J. Pos, Soumyajit Roy, Shawn Malone, Eric Horwitz, J.K. Wong, Stefano Arcangeli, Giuseppe Sanguineti, Tahmineh Romero, Yilun Sun, Michael L. Steinberg, Luca Valle, Joanne B. Weidhaas, Daniel E. Spratt, Donatello Telesca, Amar U. Kishan

Bibliographic record

VenueThe Lancet Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsJuravinski Cancer CentreUniversity of OttawaHamilton Health SciencesPrincess Margaret Cancer CentreUniversity of Toronto
FundersParker Institute for Cancer ImmunotherapyOffice of Economic AdjustmentNational Institutes of HealthProstate Cancer FoundationNRG OncologyNational Institute for Health and Care ResearchSwim Across AmericaNational Cancer InstituteAccurayInstitute for Mental Health ResearchCilagAstellas PharmaVarian Medical SystemsNational Institute on Handicapped ResearchCancer Research InstituteAstraZenecaBristol-Myers SquibbCancer Research UKBoston Scientific CorporationDepartment of Health and Social CareRoyal Marsden NHS Foundation TrustPfizerNational Comprehensive Cancer NetworkU.S. Department of Defense
KeywordsMeta-analysisMedicineRadiation therapyProstate cancerAcute toxicityOncologyInternal medicineToxicityPatient dataDatabaseCancerComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: The association between acute and late toxicity following prostate radiotherapy has not been well studied using data from multiple randomised clinical trials and fractionation schedules. We aimed to characterise the relationship between acute and late genitourinary and gastrointestinal toxicity among patients receiving conventionally fractionated or moderately hypofractionated prostate radiotherapy. METHODS: This was an individual patient data meta-analysis that identified randomised phase 3 trials of conventionally fractionated or moderately hypofractionated prostate radiotherapy in the Meta-Analysis of Randomized trials in Cancer of the Prostate (MARCAP) Consortium that had individual-level acute and late toxicity data available and were available before Dec 1, 2023. Trials without individual patient data were excluded. Data were provided to MARCAP by study investigators. The associations between acute (≤3 months after radiotherapy) and late (>3 months after radiotherapy) grade 2 or greater genitourinary and gastrointestinal toxicities were assessed using adjusted generalised linear mixed models (adjusted for age, androgen deprivation therapy status, type of radiotherapy, radiation dose, and radiation schedule). In the subset of trials that collected Expanded Prostate Cancer Index Composite quality of life (QOL) evaluations, the association between acute genitourinary and gastrointestinal toxicity and decrements at least twice the minimal clinically important difference (MCID) for urinary and bowel QOL were also evaluated. FINDINGS: Six of 26 available trials met all the eligibility criteria. 6593 patients were included (conventionally fractionated: n=4248; moderately hypofractionated: n=2345). Median follow-up was 72 months (IQR 61-94). Acute grade 2 or greater genitourinary toxicity was associated with both late grade 2 or greater genitourinary toxicity (odds ratio 2·20 [95% CI 1·88-2·57], p<0·0001) and decrement at least twice the MCID in urinary QOL (1·41 [1·17-1·68], p=0·0002). Acute grade 2 or greater gastrointestinal toxicity was associated with both late grade 2 or greater gastrointestinal toxicity (2·53 [2·07-3·08], p<0·0001) and decrement at least twice the MCID in bowel QOL (1·52 [1·26-1·83], p<0·0001). INTERPRETATION: Acute toxicity following prostate radiotherapy was statistically significantly associated with late toxicity and with decrement in patient-reported QOL metrics. These data support efforts to evaluate whether interventions that reduce acute toxicity ultimately reduce the risk of late toxicity. FUNDING: National Institutes of Health and US Department of Defense.

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)0.042
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.042
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.067
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0160.056
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.217
GPT teacher head0.468
Teacher spread0.251 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations26
Published2025
Admission routes1
Has abstractyes

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