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Record W4288059571 · doi:10.4103/joco.joco_308_21

Efficacy and Safety of Aflibercept Therapy for Diabetic Macular Edema

2022· review· en· W4288059571 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Current Ophthalmology · 2022
Typereview
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsMedicineAfliberceptDiabetic macular edemaOphthalmologyMacular edemaDiabetic retinopathyDiabetes mellitusInternal medicineBevacizumabVisual acuityChemotherapyEndocrinology

Abstract

fetched live from OpenAlex

Purpose: To assess the real-world efficacy and safety of aflibercept for the treatment of diabetic macular edema (DME). Methods: A systematic search was conducted across multiple databases. Articles were included if participants had DME and received aflibercept treatment for a minimum of 52 ± 4 weeks. Primary outcomes included changes in best-corrected visual acuity (BCVA) and central macular thickness (CMT). A risk of bias assessment of studies was completed, pooled estimates were obtained, and a meta-regression was performed. Information on adverse events was collected. Results: The search yielded 2112 articles, of which 30 were included. Aflibercept was more effective than laser photocoagulation functionally (12-month BCVA-weighted mean difference [WMD] = 10.77 letters, P < 0.001; 24 months = 8.12 letters, P < 0.001) and anatomically (12-month CMT WMD = –114.12 μm, P < 0.001; 24 months = –90.4 μm, P = 0.004). Compared to bevacizumab, aflibercept was noninferior at improving BCVA at 12 months (WMD = 1.71 letters, P = 0.34) and 24 months (WMD = 1.58 letters, P = 0.083). One study found that aflibercept was more effective than bevacizumab anatomically at 1 and 2 years ( P < 0.001 at 12 and 24 months). Compared to ranibizumab, aflibercept rendered a greater improvement in BCVA at 1 year (WMD = 1.76 letters, P = 0.001), but not 2 years (WMD = 1.66 letters, P = 0.072). CMT was not significantly different between both therapies at 12 months (WMD = −14.30 μm, P = 0.282) and 24 months ( P = 0.08). One study reported greater functional improvement with aflibercept compared with dexamethasone ( P = 0.004), but inferiority in reducing CMT ( P < 0.001). Meta-regression analysis demonstrated that dosing schedule was found to impact outcomes at 12 and 24 months, while study design and sample size did not impact outcomes at 12 months. There were minimal safety concerns using aflibercept therapy. Conclusions: Aflibercept is a safe and effective therapy option for DME in the clinical setting, performing superiorly to laser photocoagulation. Evidence regarding comparisons with bevacizumab, ranibizumab, and dexamethasone is mixed and limited.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.131
GPT teacher head0.440
Teacher spread0.309 · 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