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Record W4401798772 · doi:10.1016/j.oret.2024.08.011

Long-Term Redetachment Rates of Pneumatic Retinopexy versus Pars Plana Vitrectomy in Retinal Detachment

2024· article· en· W4401798772 on OpenAlexaffabout
Tugche S. Chen, Yasmin Motekalem, Isabela Martins Melo, Roxane J. Hillier, Alan R. Berger, Louis R. Giavedoni, David T. Wong, Filiberto Altomare, Rajeev H. Muni

Bibliographic record

VenueOphthalmology Retina · 2024
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsKensington HealthUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPars planaVitrectomyRetinal detachmentMedicineOphthalmologyPost-hoc analysisTerm (time)Post hocOptometryRetinalVisual acuityInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To assess long-term redetachment rates of the Pneumatic Retinopexy versus Vitrectomy for the Management of Primary Rhegmatogenous Retinal Detachment Outcomes Randomized Trial (PIVOT). DESIGN: Randomized controlled trial. SUBJECTS: PIVOT trial participants. METHODS: This study was performed at St. Michael's Hospital, Unity Health Toronto, Toronto, Canada. PIVOT trial participants who had undergone either pneumatic retinopexy (PnR) or pars plana vitrectomy (PPV) for rhegmatogenous retinal detachment (RRD) repair with a minimum follow-up of 2 years were assessed for long-term redetachment by chart review or telephone interview. The latter was the only accepted method for those with <2 years of follow-up. Patients were only eligible if no reintervention to reattach the retina was performed within the first year of the initial procedure. MAIN OUTCOME MEASURES: Long-term redetachment rates for PnR vs. PPV after RRD repair. RESULTS: Sixty-one participants who underwent PPV and 62 who underwent PnR were analyzed. The long-term redetachment rates were 0% and 1.61% (1/62) in the PPV and PnR groups, respectively (P = 0.32). The mean follow-up duration in years was 5.43 ± 3.60 vs. 5.51 ± 3.03 in the PPV and PnR groups, respectively. CONCLUSIONS: There was no statistically significant difference in long-term redetachment rates for PnR vs. PPV. Both procedures are durable treatment options for RRD over an extended period, rarely requiring additional intervention for redetachment. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.363
Teacher spread0.317 · 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.

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

Citations5
Published2024
Admission routes2
Has abstractyes

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