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Record W2041992889 · doi:10.4103/0974-9233.110610

Advanced glaucoma: Management pearls

2013· review· en· W2041992889 on OpenAlexaff
KarimF Damji, Girum W. Gessesse

Bibliographic record

VenueMiddle East African Journal of Ophthalmology · 2013
Typereview
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlaucomaTrabeculectomyMedicineLife expectancyPsychosocialAnxietyIntensive care medicineDiseaseDepression (economics)Intraocular pressureOptometryPsychiatryOphthalmologyPopulation

Abstract

fetched live from OpenAlex

A significant proportion of glaucoma patients present late, particularly in the developing world, and unfortunately, in an advanced stage of the disease. They are at imminent danger of losing remaining vision, and may also be afflicted with various socioeconomic and health challenges. The encounter with such a patient is typically characterized by anxiety/fear and sometimes hopelessness from the patient's perspective. The physician may also feel that they are in a difficult position managing the patient's disease. When dealing with such cases, we suggest a holistic, individualized approach taking into account the 'biopsychosociospiritual' (BPSS) profile of each patient. The BPSS model takes into account relevant ocular as well as systemic biology (factors such as the mechanism of glaucoma, level of intraocular pressure [IOP], rate of progression, life expectancy, general health), psychological considerations (e.g., fear, depression), socio-economic factors and spiritual/cultural values and beliefs before being able to decide with the patient and their care partner(s) what treatment goals should be and how they can best be approached. Treatment for advanced glaucoma can be highly effective, and patients and their care partners should be informed that aggressive IOP lowering to the low teens or even single digits offers the best chance of protecting remaining vision. This can be achieved safely and effectively in most cases with trabeculectomy (including an antimetabolite), and in some cases with medical and/or laser therapy. Vision rehabilitation and psychosocial support should also be considered in order to optimize remaining vision, replace fear with hope as appropriate, and thus improve the overall quality of life.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.315
Teacher spread0.254 · 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 designOther design
Domainnot available
GenreReview

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

Citations35
Published2013
Admission routes1
Has abstractyes

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