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Record W3185280489 · doi:10.1016/j.euo.2021.07.002

The Efficacy and Safety of Relugolix Compared with Degarelix in Advanced Prostate Cancer Patients: A Network Meta-analysis of Randomized Trials

2021· review· en· W3185280489 on OpenAlexaff
Reza Sari Motlagh, Mohammad Abufaraj, Keiichiro Mori, Abdulmajeed Aydh, Paweł Rajwa, Satoshi Katayama, Nico C. Grossmann, Ekaterina Laukhtina, Hadi Mostafai, Benjamin Pradère, Fahad Quhal, Pierre I. Karakiewicz, Dmitry Enikeev, Shahrokh F. Shariat

Bibliographic record

VenueEuropean Urology Oncology · 2021
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineMeta-analysisProstate cancerSubgroup analysisRelative riskAdverse effectRandomized controlled trialSystematic reviewInternal medicineConfidence intervalUrologyOncologyGynecologyMEDLINECancer

Abstract

fetched live from OpenAlex

CONTEXT: Degarelix is associated with high rates of injection site reaction. The US Food and Drug Administration approved relugolix, an oral gonadotropin-releasing hormone (GnRH) antagonist, for the treatment of advanced prostate cancer patients. OBJECTIVE: This systematic review and network meta-analysis aimed to compare the efficacy and safety of relugolix versus degarelix. EVIDENCE ACQUISITION: A systematic search was performed using major web databases for studies published before January 30, 2021, according to the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) extension statement for a network meta-analysis. Studies that compared the efficacy (12-mo castration rate with testosterone ≤50 ng/dl) and safety (adverse events [AEs]) of relugolix or degarelix and of the control group (GnRH agonists) were included. We used the Bayesian approach in the network meta-analysis. EVIDENCE SYNTHESIS: Four studies (n = 2059) met our eligibility criteria. The main efficacy analysis was conducted for two different treatments (relugolix and all doses of degarelix vs GnRH agonists); relugolix (risk ratio [RR] 1.09, 95% credible interval [CrI]: 0.95-1.23) and degarelix (RR 0.98, 95% CrI: 0.91-1.06) were not associated with different 12-mo castration rates. In the subgroup analysis, degarelix 480 mg was significantly associated with a lower castration rate (RR 0.46, 95% CrI: 0.07-0.92). In all efficacy ranking analyses, relugolix achieved the best rank. The safety analyses showed that relugolix (RR 0.99, 95% CrI: 0.6-1.6 and RR 0.72, 95% CrI: 0.4-1.3, respectively) and degarelix (RR 1.1, 95% CrI: 0.75-1.35 and RR 1.05, 95% CrI: 0.42-2.6, respectively) were not associated with either all AE or serious AE rates. In the ranking analyses, degarelix achieved the worst rank of all AEs and the best rank of serious AEs. Relugolix (RR 0.44, 95% CrI: 0.16-1.2) and degarelix (RR 0.74, 95% CrI: 0.37-1.52) were not associated with different cardiovascular event (CVE) rates; both were associated with lower CVE rates than GnRH agonists in the ranking analyses. CONCLUSIONS: We found that the efficacy and safety of relugolix are comparable with those of degarelix, albeit with no injection site reaction. Such data should be interpreted with caution until large-scale direct comparison studies with a longer follow-up are available. PATIENT SUMMARY: We found that relugolix, an oral gonadotropin-releasing hormone (GnRH) antagonist, has comparable efficacy and safety with degarelix, a parenteral GnRH antagonist, for the treatment of advanced prostate cancer patients.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
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 score0.444
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0190.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.137
GPT teacher head0.431
Teacher spread0.294 · 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 teacher head, not a consensus.

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

Citations19
Published2021
Admission routes1
Has abstractyes

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