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SURVIVAL ANALYSIS FOR SUCCESS OF MOLTENO TUBE IMPLANTS

2002· article· en· W2073311537 on OpenAlexaboutno aff
Richard Parrish

Bibliographic record

VenueEvidence-Based Eye Care · 2002
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntraocular pressureGlaucomaImplantOphthalmologyVisual acuitySurgeryRetrospective cohort studyOptometry

Abstract

fetched live from OpenAlex

Broadway DC, Iester M, Schulzer M, Douglas GR. Survival analysis for success of Molteno tube implants. Br J Ophthalmol 2001; 85:689–695. Original study reprint requests: D. Broadway, Department of Ophthalmology, Norfolk & Norwich Healthcare Trust, West Norwich Hospital, Bowthorpe Road, Norwich, Norfolk NR2 3TU, UK. Research Objective To apply survival analysis in assessing the long-term outcome of Molteno tube implantation and to identify risk factors for failure. Study Design A retrospective, consecutive case series study. Location University of British Columbia, Vancouver, Canada. Funding Sources Supported by the Frost Trust, London, UK, the Norwich Glaucoma Research Fund, Norwich, UK, and the University of Genoa, Italy. Relevant Methodology Patient records of 119 eyes that had undergone Molteno tube implantation over a 10-year period were reviewed. Outcome Measures Intraocular pressure (IOP), visual acuity, and complications. Results A 30% or greater reduction in IOP was achieved in 68.9% of eyes that had undergone Molteno tube implantation. The overall, “completer success” rate (IOP <22 mmHg with no medications) after a mean (SD) follow-up period of 43 (33) months (range: 6–120) was only 33.6%, despite a decrease in mean (SD) IOP from 38.2 (8.2) mmHg to 20.1 (11.0) mmHg. The “qualified success” rate (IOP <22 mm Hg with or without medications) was 60.5%. Failure was most common in the first postoperative year but could occur after several years, with the survival curve having an exponential shape. The only statistically significant risk factor for failure identified was pseudophakia, although eyes with neovascular glaucoma tended to fare poorly. Postoperative IOP tended to be lower after double-plate than after single-plate implantation. There was no significant difference in outcome based on age, sex, race, previous penetrating keratoplasty, or previous conjunctival surgery. Conclusions In eyes at high risk of trabeculectomy failure, implantation of an aqueous shunt device should be considered. Pseudophakia should be considered an additional risk factor for failure. Early failure appeared relatively more common, but long-term follow-up of all cases is recommended to ensure adequate management of late failures. Comment The authors give further credence to the notion that drainage implants are here to stay. The findings of prolonged IOP reduction in eyes with poor prognosis for trabeculectomy are convincing. Of greater importance, however, is the observation that IOP control can be achieved in poor prognosis eyes with an acceptably low complication rate. For example, fear of corneal injury or rejection after transplantation remains a major concern after drainage device implantation. Of the 24 eyes that had undergone penetrating keratoplasty before Molteno drainage surgery, 3 developed graft failure. Corneal decompensation developed in 9 of 119 eyes, 36 of which were aphakic and were likely to have been at higher risk to develop corneal endothelial dysfunction. The devastating complications of suprachoroidal hemorrhage (1/119; 0.8%) and endophthalmitis (0/119) were rarely encountered. Transient choroidal effusions (18/119; 15.1%) frequently occurred, but prolonged postoperative hypotony was uncommon, (5/119; 4.2%). Problems unique to drainage implant surgery, such as tube obstruction (10/119; 8.4%) and strabismus (3/119; 2.5%), did not permanently affect IOP control. Their complication rate compares favorably with those in follow-up reports of lesser duration. 1 The categorization of results as “complete success,” “partial success,” “qualified success,” and “complete failure,” is based on reaching predetermined IOP levels; however, it is not possible to determine the IOP outcome range of individual patients during the follow-up period. A recent report of Advanced Glaucoma Intervention Study suggests that maintenance of IOP within lower ranges, less than 18 mmHg at all times, may be associated with decreased risk of developing further visual field loss. 2 Future long-term visual field data will be required to determine whether the IOP has been lowered sufficiently after Molteno drainage implantation in most patients to prevent further progression.

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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)0.004
metaresearch head score (Gemma)0.012
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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.314
Teacher spread0.264 · 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".

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Citations10
Published2002
Admission routes1
Has abstractyes

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