MétaCan
Menu
Back to cohort
Record W3002244891 · doi:10.1097/ppo.0000000000000425

Stereotactic Ablative Body Radiotherapy for Intermediate- or High-Risk Prostate Cancer

2020· review· en· W3002244891 on OpenAlexaff
Andrew Loblaw

Bibliographic record

VenueThe Cancer Journal · 2020
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsSABR volatility modelAblative caseProstate cancerRadiation therapyMedicineRandomized controlled trialProstateMedical physicsCancerRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Stereotactic ablative radiotherapy (SABR) is a relatively novel form of high precision radiotherapy. For low- and intermediate risk patients, ultrahypofractionation (UHF - more than 5 Gy per day) has been compared to conventionally fractionated or moderately hypofractionated radiotherapy in two large randomized studies. A third smaller randomized study examined the question of the optimal frequency of treatments. The results of these studies will be reviewed. SABR for high risk prostate cancer has been shown to be feasible and is well tolerated with careful planning and setup techniques. However, there is currently insufficient data supporting its use for high-risk patients to offer SABR outside of a clinical trial. SABR costs less to the radiotherapydepartments and, the patient, as well as increasing system capacity. Therefore, it has the potential to be widely adopted in the next few years.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.389
Teacher spread0.337 · 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
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

Citations9
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Cancer JournalSame topicProstate Cancer Diagnosis and TreatmentFrench-language works237,207