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Record W3217589929 · doi:10.4103/ijo.ijo_612_21

Outcomes of combined treatments in patients with retinal arterial macroaneurysm

2021· article· en· W3217589929 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

VenueIndian Journal of Ophthalmology · 2021
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRetinalRetinal ArteryFluorescein angiographyVisual acuityMEDLINE

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the outcome of the combined approach between intravitreal ranibizumab (IVR) and focal laser photocoagulation (FLP) in the treatment of symptomatic retinal arterial macroaneurysm (RAM). METHODS: A total of 10 patients were included in this clinical case series report. They were diagnosed with symptomatic RAM (one eye in each) and assessed by a comprehensive ophthalmologic examination, including fluorescein angiography (FA), optical coherence tomography angiography (OCT-A), and indocyanine green angiography (ICGA). All patients were treated with an IVR followed by an FLP 2 weeks later. If necessary, a second IVR was given 1 month after the first one (or 2 weeks after the first FLP), which was followed by a second FLP treatment 2 weeks later in the needed cases. All cases were followed up for 6 months after the last treatment. RESULTS: Both the retina hemorrhage and edema were resolved by the treatment. No ocular and/or systemic side effects were evident, and no recrudescence of RAM was seen within the 6 months of follow-up. CONCLUSION: The combined treatment of IVRs and FLPs was successful in the management of symptomatic RAM.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.269
Teacher spread0.258 · 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