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THE INCIDENCE AND STRUCTURE OF OPHTHALMOPATHOLOGY OF TUBALARS

2017· article· en· W2938634748 on OpenAlexaboutno aff
A. L. Onischenko, А. В. Колбаско, М. А. Сафронова

Bibliographic record

VenueOphthalmology in Russia · 2017
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsnot available
Fundersnot available
KeywordsIncidence (geometry)MedicineCataractsPopulationOptometryDemographyOphthalmologyAge groupsPediatricsEnvironmental health

Abstract

fetched live from OpenAlex

673 Tubalars have been examined during the expeditions undertaken by the Institute staff. It was 67% of all ethnic groups, compactly living in the Altai Republic. We have also examined 521 Russians and 316 Métis (children of a Russian and an Altaian). The overall incidence of ophthalmopathology (N00-59, Q12-14, D31, S05) at Tubalars amounted to 1965,82 ‰. Among Tubalars the prevalence of eye diseases has been found in females (women — 2075,54 ‰; men — 1896,88 ‰). Age affects the ophthalmopathology incidence in the population of Tubalars. The structure and the incidence of eye diseases in Tubalars has been proven: anomalies of refraction and accommodation disorders (799,40 ‰); conjunctival diseases (390,79 ‰); diseases of the retina (212,48 ‰); disease of the lens (164,93 ‰); other eye diseases and neoplasms of its ancillary apparatus (124,81 ‰); diseases of the lacrimal apparatus (112,93 ‰). Women Tubalars suffered from cataracts more frequently than men (p = 0.045). This is probably due to the higher life expectancy of women and more frequent recording of the age-related cataract in this group. Over the past 25 years the agerelated cataracts in Altaians have been registered in younger age. Age-related cataracts prevailed over other forms of cataract both in Tubalars (148.59 ‰), and Russians (307.1 ‰), Métis (44.3 ‰), and the most common stage of development of senile cataract in Tubalars (90%), Russian (93%) and Métis (93%) was an initial cataract. Retinal Diseases in Tubalars occurred mainly in patients over 30, with the indicators of higher values in the age group 50-59 years (about 456.89%) and 60-69 years (675,78 ‰). In the structure of retinal diseases in all three ethnic groups background retinopathy dominated, among which the first place was occupied by the retinopathy of hypertensive type (p = 0,000). The hypotonic type of retinopathy was less frequent — 16,34 ‰ (for Tubalars p = 0,000). In women, the retinopathy of hypertensive type was recorded 1.5 times higher than in men (p = 0,031).

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.312
Teacher spread0.297 · 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.

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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Citations0
Published2017
Admission routes1
Has abstractyes

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