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Record W4396688667 · doi:10.1097/icb.0000000000001588

COMBINED AMNIOTIC MEMBRANE GRAFT AND AUTOLOGOUS RETINAL TRANSPLANT FOR REPAIR OF REFRACTORY CHRONIC MYOPIC MACULAR HOLES

2024· article· en· W4396688667 on OpenAlexaff
Zujaja Tauqeer, Jong Seok Park, Tamer H. Mahmoud

Bibliographic record

VenueRetinal Cases & Brief Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsMedicineRefractory (planetary science)OphthalmologyRetinal

Abstract

fetched live from OpenAlex

PURPOSE: The objective of this study was to report a technique for reconstruction of large, persistent, chronic, myopic macular holes using a combined human amniotic membrane graft and autologous retinal transplant. METHODS: Three patients with large, myopic macular holes who failed prior surgical attempts and underwent subretinal amniotic membrane graft with overlying autologous retinal transplant and short-term perfluorocarbon tamponade were included in this study. Preoperative and postoperative visual acuity and images were analyzed at 3, 6, and 9 months. RESULTS: All three myopic macular holes remained closed at 9 months with resolution of central scotoma. The first case, a 69-year-old woman, presented with a persistent macular hole whose minimum linear diameter was 1,085 µm. Her preoperative visual acuity of 20/200 improved by 9 months to 20/100. Second, a 72-year-old man with a history of recurrent retinal detachment repair with silicone oil and persistent macular hole of 1,134 µm presented with preoperative visual acuity of 20/200, which was unchanged at 9 months. Finally, a 76-year-old woman with a persistent macular hole of 935 µm with preoperative visual acuity of 20/80 improved by 9 months postoperative to 20/50. No complications were encountered related to the grafts. CONCLUSION: Combined amniotic membrane graft and autologous retinal transplant may provide a surgical option for repair of refractory, large, chronic myopic macular holes with underlying atrophy.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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 designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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