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Record W1971444260 · doi:10.1136/bjo.2007.118604

Glaucoma: an exclusive disease?

2008· letter· en· W1971444260 on OpenAlexaboutno aff
Tarek Shaarawy

Bibliographic record

VenueBritish Journal of Ophthalmology · 2008
Typeletter
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlaucomaGross domestic productPer capitaOptometryPopulationPovertyDeveloping countryPupilIntraocular pressureDemographyOphthalmologyPediatricsEnvironmental healthEconomic growthEconomics

Abstract

fetched live from OpenAlex

The first suggestion of a disease associated with a rise in intraocular pressure (IOP) and thus corresponding to what is now known as glaucoma seems to occur in the Arabic writings of Shamms Ad-Deen of Cairo (died ad 1348) who, among 153 diseases of the eye and adnexa, described a “migraine of the eye” or “headache of the pupil,” an illness associated with pain in the eye, hemicrania, and followed by dilatation of the pupil and cataract. If it became chronic, tenseness of the eye and blindness supervened.1 Eldaly and co-authors, from Cairo University in Cairo, Egypt, the same city of Shamms Ad-Deen, produced an interesting article on the socio-economic impact among Egyptian glaucoma patients.2 Egypt, with a population close to 75 million, of whom 20% fall below the poverty line, serves as an excellent model of how glaucoma is managed in a developing country. Having said so, it is of fundamental importance to discourage the grouping of all developing countries in one basket, as circumstances vary significantly between them. This includes the number of physicians per capita, gross domestic product (GDP), and total expenditure on health as percentage of GDP, among others. Egypt has a ratio of 2.1 physicians per 1000 people, a ratio identical to that of the UK, New Zealand and Canada.3 The same ratio contrasts dramatically with ratios in Zimbabwe (0.05) and Rwanda (0.01). Egypt invests 6% of its GDP on health services, amounting to $258 per capita, which again can be compared with the UK (8%, $2560 per capita) and Rwanda (3.7%, $14 per capita).4 The statistics cannot …

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), Research integrity, Insufficient payload (model declined to judge)
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 score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.003
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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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