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Record W2383671492

UBM observation of trabeculectomy in deep of scleral flap by vertical limbus

2007· article· en· W2383671492 on OpenAlexaboutno aff
Wu Li

Bibliographic record

VenueZhongguo yixue yingxiang jishu · 2007
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUltrasound biomicroscopyScleraTrabeculectomyIntraocular pressureOphthalmologyGlaucomaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe anterior chamber by using ultrasound biomicroscopy (UBM) after modified trabeculectomy in deep of scleral flap and investigate the mechanism of decreasing intraocular pressure in this type of operation. Methods Eighty-five patients with varied glaucoma were treated with excision of deep layer sclera and trabecular by vertical limbus, then observed by using Canada OTI Scan 1000 UBM and examined the intraocular pressure postoperatively from 3 to 30 months (mean period months). Results The observation of UBM indicated that the filtering blebs were showed distinctly. The average postoperative intraocular pressure were (14.22±3.62) mmHg. During the follow-up the functional filtering blebs of 54 eyes were present while those of 16 eyes were disappeared after 2-3 months postoperatively. Conclusion We could conclude the anterior segment configuration of the glaucoma treated with modified trabeculectomy by UBM more safely and directly than traditional examination, and evaluate the effect of the decreasing intraocular pressure of the operation and further treatment postoperatively.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2007
Admission routes1
Has abstractyes

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