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Record W4390145114 · doi:10.1177/24741264231216795

Outcomes of Scleral Buckling After Failed Pneumatic Retinopexy

2023· article· en· W4390145114 on OpenAlexaff
Tuan Tran, Henry Chen, Bonnie He, David Albiani, Andrew Kirker, Andrew Merkur, David Maberley, Zaid Mammo

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2023
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsPars planaScleral buckleMedicineVitrectomyRetinal detachmentOphthalmologyVisual acuityScleral bucklingRetinalSurgery

Abstract

fetched live from OpenAlex

Purpose: To assess the visual and anatomic outcomes of eyes that had secondary scleral buckle (SB) surgery after unsuccessful pneumatic retinopexy (PR) for rhegmatogenous retinal detachment (RRD). Methods: A retrospective study, performed over a 12-year period, comprised patients who had secondary SB procedures after failed primary PR. Clinical parameters (eg, best-corrected visual acuity [BCVA], lens status, macula status, details of RRD and subretinal fluid) were assessed at presentation, before additional procedures, and at follow-up (6 months, 1 year, and last visit). Statistical comparisons were made using Brown-Forsythe and Welch analysis-of-variance tests, with significance levels set at P < .05. Results: Fifty-four eyes with adequate follow-up were included. Forty-four (81.5%) of 54 eyes had successful retinal reattachment with secondary SB alone. The remaining eyes had subsequent pars plana vitrectomy (PPV). Patients presenting with macula-on RRD who had successful secondary SB had no statistically significant change in BCVA from baseline (mean final, 0.23 ± 0.25 logMAR [Snellen 20/34]; P = .999). There was a statistically significant improvement in BCVA in patients presenting with macula-off RRD who had successful secondary SB (mean final, 0.32 ± 0.36 logMAR [20/42]; P < .001 and mean change, −1.06 ± 0.85 logMAR). Ten patients presenting with macula-off RRD who had failed secondary SB had a significant improvement in the final BCVA (mean final, 0.22 ± 0.28 logMAR [20/33]; P = .044), despite the need for an additional PPV to achieve reattachment. Conclusions: Secondary SB remains a good option for RRD repair after unsuccessful PR and may avoid the need for PPV.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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