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Record W4388951814 · doi:10.1136/bmjopen-2023-073120

Evaluating niraparib versus active symptom control in patients with previously treated mesothelioma (NERO): a study protocol for a multicentre, randomised, two-arm, open-label phase II trial in UK secondary care centres

2023· article· en· W4388951814 on OpenAlexaff
Dean A. Fennell, Daniel E. Griffiths, Zina Eminton, Abigail Morgan-Fox, Kayleigh Hill, Sean Ewings, C Stuart, Lucy Johnson, Kim Mallard, Mavis Nye, Liz Darlison, Sean Dulloo, Judith Cave, Jinli Luo, Paul Taylor, J. Spicer, Charlotte Poile, Aleksandra Bzura, Gareth Griffiths

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsOccupational Cancer Research Centre
FundersUniversity of SouthamptonAsthma and Lung UKNational Institute for Health and Care ResearchCancer Research UK
KeywordsMedicineMesotheliomaClinical endpointInternal medicineOncologyResponse Evaluation Criteria in Solid TumorsPeritoneal mesotheliomaPARP inhibitorProgression-free survivalSurrogate endpointChemotherapySurgeryRandomized controlled trialProgressive diseasePathologyPoly ADP ribose polymerase

Abstract

fetched live from OpenAlex

BACKGROUND: Malignant mesothelioma is a rapidly lethal cancer that has been increasing at an epidemic rate over the last three decades. Targeted therapies for mesothelioma have been lacking. A previous study called MiST1 (NCT03654833), evaluated the efficacy of Poly (ADP-ribose) polymerase (PARP) inhibition in mesothelioma. This study met its primary endpoint with 15% of patients having durable responses exceeding 1 year. Therefore, there is a need to evaluate PARP inhibitors in relapsed mesothelioma patients, where options are limited. Niraparib is the PARP inhibitor used in NERO. METHODS: NERO is a multicentre, two-arm, open-label UK randomised phase II trial designed to evaluate the efficacy of PARP inhibition in relapsed mesothelioma. 84 patients are being recruited. NERO is not restricted by line of therapy; however, eligible participants must have been treated with an approved platinum based systemic therapy. Participants will be randomised 2:1, stratified according to histology and response to prior platinum-based chemotherapy, to receive either active symptom control (ASC) and niraparib or ASC alone, for up to 24 weeks. Participants will be treated until disease progression, withdrawal, death or development of significant treatment limiting toxicity. Participants randomised to niraparib will receive 200 or 300 mg daily in a 3-weekly cycle. The primary endpoint is progression-free survival, where progression is determined by modified Response Evaluation Criteria in Solid Tumors (mRECIST) or RECIST 1.1; investigator reported progression; or death from any cause, whichever comes first. Secondary endpoints include overall survival, best overall response, 12-week and 24 week disease control, duration of response, treatment compliance and safety/tolerability. If NERO shows niraparib to be safe and biologically effective, it may lead to future late phase randomised controlled trials in relapsed mesothelioma. ETHICS AND DISSEMINATION: The study received ethical approval from London-Hampstead Research Ethics Committee on 06-May-2022 (22/LO/0281). Data from all centres will be analysed together and published as soon as possible. TRIAL REGISTRATION NUMBER: ISCRTN16171129; NCT05455424.

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)0.023
metaresearch head score (Gemma)0.017
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.042
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.017
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0420.011

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 head0.118
GPT teacher head0.494
Teacher spread0.376 · 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
GenreProtocol

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

Citations5
Published2023
Admission routes1
Has abstractyes

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