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Efficacy of a Treat-and-Extend Regimen With Ranibizumab in Patients With Neovascular Age-Related Macular Disease

2020· article· en· W2999057392 on OpenAlexaffabout
Peter J. Kertes, Ivan Galić, Mark Greve, Geoff Williams, Jason V. Baker, Marcel Lahaie, Tom Sheidow

Bibliographic record

VenueJAMA Ophthalmology · 2020
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsWestern UniversityNovartis (Canada)University of AlbertaUniversity of TorontoUniversity of CalgaryMcGill UniversityHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineRanibizumabMacular degenerationChoroidal neovascularizationRegimenRandomized controlled trialDiabetic retinopathyVisual acuityDosingOphthalmologyPro re nataBevacizumabSurgeryInternal medicineDiabetes mellitusChemotherapy

Abstract

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Importance: Although the Canadian Treat-and-Extend Analysis Trial With Ranibizumab in Patients With Neovascular Age-Related Macular Disease (CANTREAT) reported herein and the Treat and Extend study provided data to show noninferiority of treat-and-extend (T&E) at 12 months, to date there are few data on 24-month T&E trials compared with monthly dosing. Objective: To compare the efficacy of ranibizumab using a T&E regimen to monthly dosing in treatment-naive patients with neovascular age-related macular degeneration (nAMD) after 24 months. Design, Setting, and Participants: A randomized, open-label, multicenter, noninferiority intention-to-treat trial with a margin of -5 letters in best-corrected visual acuity (BCVA) from baseline to 12 months between groups was conducted at 27 treatment centers in Canada. Participants included 580 patients with treatment-naive choroidal neovascularization secondary to AMD. The study was conducted from May 8, 2013, to August 28, 2018, and data analysis was performed between August 29 and September 12, 2018. Interventions: Patients with nAMD were randomized 1:1 to receive intravitreal ranibizumab, 0.5 mg, in either a T&E or monthly dosing regimen. Main Outcomes and Measures: Mean change in BCVA in Early Treatment of Diabetic Retinopathy Study letters from baseline to month 24. Results: Of the 580 randomized patients, 350 were women (60.3%) and 547 were white (94.3%). Mean (SD) age was 78.8 (7.8) years. By the end of month 24, 466 of the 580 randomized patients (80.3%) had completed the study and participants in the T&E arm received a mean of 17.6 injections compared with 23.5 injections for the monthly arm, for a difference of 5.9 injections and visits over 2 years (95% CI, 5.4-6.5; P < .001). The mean (SD) BCVA improvement was not worse with the T&E arm, 6.8 (14.1) letters vs 6.0 (12.6) letters, compared with the monthly arm (difference, 0.9; 95% CI, -1.6 to 3.3; P = .21). There was a gain of 15 or more letters in 25.5% of the T&E group and 23.1% of the monthly treatment group (difference, 2.4%; 95% CI, -6.8% to 11.6%; P = .59) and a loss of 15 or more letters in 6.5% of the T&E group and 5.8% of the monthly treatment group (difference, -0.7%; 95% CI, -9.9% to 8.5%; P = .85). Conclusions and Relevance: These findings suggest that change in vision from baseline is not worse with a T&E compared with a monthly regimen of ranibizumab for nAMD through 24 months, achieving clinically meaningful improvements in BCVA despite fewer injections and visits. Trial Registration: ClinicalTrials.gov identifier: NCT02103738.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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 designNon-randomized 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".

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Citations82
Published2020
Admission routes2
Has abstractyes

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