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Record W3200207529 · doi:10.1016/j.jaci.2021.09.009

Comparative efficacy and safety of monoclonal antibodies and aspirin desensitization for chronic rhinosinusitis with nasal polyposis: A systematic review and network meta-analysis

2021· review· en· W3200207529 on OpenAlexaff
Paul Oykhman, Fernando Aleman Paramo, Jean Bousquet, David W. Kennedy, Romina Brignardello‐Petersen, Derek K. Chu

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2021
Typereview
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
Fundersnot available
KeywordsMedicineOmalizumabInternal medicineDupilumabPlaceboMepolizumabNasal polypsNasal congestionAdverse effectSinusitisRandomized controlled trialAsthmaMeta-analysisBenralizumabRelative riskConfidence intervalSurgeryImmunoglobulin ENoseImmunologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic rhinosinusitis with nasal polyposis (CRSwNP) is an inflammatory condition of the upper airways. Optimal management is unclear. OBJECTIVE: We compared the effects of mAbs and aspirin desensitization (ASA-D) for treatment of CRSwNP. METHODS: We searched the Medline, Embase, Cochrane Central Register of Controlled Trials, International Clinical Trials Registry Platform, US Food and Drug Administration, and the European Medicines Agency databases from inception to August 4, 2021, for randomized controlled trials comparing the effects of mAbs and ASA-D for CRSwNP. We conducted network meta-analysis of sinusitis symptoms, heath-related quality of life, rescue oral corticosteroids and surgery, endoscopic and radiologic scores, and adverse events. We used the Grades of Recommendation Assessment, Development and Evaluation (GRADE) approach to assess certainty of evidence. PROSPERO CRD42020177334. RESULTS: Twenty-nine randomized controlled trials evaluating 8 treatments (n = 3461) were included in the network meta-analysis. Compared to placebo, moderate to high certainty evidence showed that health-related quality of life (SNOT-22) improved with dupilumab (mean difference [MD] -19.91 [95% confidence interval (CI) -22.50, -17.32]), omalizumab (MD -16.09 [95% CI -19.88, -12.30]), mepolizumab (MD -12.89 [95% CI -16.58, -9.19], ASA-D (MD -10.61 [95% CI -14.51, -6.71]), and benralizumab (MD -7.68 [95% CI -12.09, -3.27]). The risk of rescue nasal polyp surgery likely decreased with dupilumab (risk difference [RD] -16.35% [95% CI -18.13, -13.48]), omalizumab (RD -7.40% [95% CI -11.04, -2.43]), mepolizumab (RD -12.33% [95% CI -15.56, -7.22]), and ASA-D (RD -16.00% [95% CI -19.79, 0.21]; all moderate certainty). Comparisons among agents show with moderate to high certainty that dupilumab ranks among the most beneficial for 7 of 7 outcomes, omalizumab for 2 of 7, mepolizumab for 1 of 7, and ASA-D for 1 of 7. CONCLUSIONS: Multiple biologics and ASA-D credibly improve patient-important outcomes, with clinically important differences in effects among agents; dupilumab uniquely ranks among the most beneficial for all outcomes studied.

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)0.006
metaresearch head score (Gemma)0.013
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.026
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.126
GPT teacher head0.420
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 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

Citations225
Published2021
Admission routes1
Has abstractno

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