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CALLA: Efficacy and safety of durvalumab with and following concurrent chemoradiotherapy (CCRT) versus CCRT alone in women with locally advanced cervical cancer: A phase III, randomized, double-blind, multicenter study.

2019· article· en· W2947334480 on OpenAlexaboutno aff
Bradley J. Monk, Jyoti Mayadev, Ana T. Nunes, Alicja Dabrowska Brown, Michelle Marcovitz, Mark C. Lanasa

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDurvalumabCervical cancerInternal medicineClinical endpointOncologyCancerRadiation therapyChemoradiotherapyUrologyRandomized controlled trialNivolumabImmunotherapy

Abstract

fetched live from OpenAlex

TPS5597 Background: CCRT is the standard of care for locally advanced cervical cancer. CCRT with PD-1/PD-L1 pathway blockade may promote a more immunogenic environment through increased phagocytosis, cell death, and antigen presentation, leading to enhanced immune-mediated tumor surveillance. This Phase 3, randomized, multicenter, international, double-blind, placebo-controlled study is designed to determine the efficacy and safety of durvalumab with and following CCRT vs. CCRT alone in women with locally advanced cervical cancer (NCT03830866). Methods: The study will enroll immunotherapy-naïve adult patients (pts) with histologically confirmed cervical adenocarcinoma or cervical squamous or adenosquamous carcinoma (FIGO Stages IB2-IIB with node [N] positive and IIIA-IVA with any N) and no prior definitive surgical, radiation, or systemic therapy for cervical cancer. Approximately 714 pts will be randomized 1:1 to receive either durvalumab (1500 mg intravenously [IV]) or placebo every 4 weeks for 96 weeks. All pts will receive CCRT to the pelvis or pelvis + para-aortic radiotherapy field (45 Gy), followed by image-guided brachytherapy with cisplatin (40 mg/m2) IV or carboplatin (AUC2) IV once weekly for 5 weeks (6th dose optional). Randomization will be stratified by disease stage (FIGO Stage < III and N positive, FIGO Stage ≥III and N negative, or FIGO Stage ≥III and N positive) and region (US, Canada, EU, South Korea, and Japan vs. rest of the world). The primary endpoint is progression-free survival (assessed by investigator per RECIST v1.1 or histopathologic confirmation of local tumor progression). Secondary endpoints are overall survival, objective response and complete response (CR) rates, duration of response in pts with CR, incidence of local or distant disease progression or secondary malignancy, disease-related symptoms, and health-related quality of life (EORTC QLQ-C30 and EORTC QLQ-CX24). Pharmacokinetics, immunogenicity, and safety of durvalumab will also be assessed. Pt enrollment is ongoing. Clinical trial information: NCT03830866.

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)0.001
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.053
GPT teacher head0.437
Teacher spread0.384 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations11
Published2019
Admission routes1
Has abstractyes

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