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Record W3092833878 · doi:10.1097/ijg.0000000000001713

Assessment of Ocular Surface Disease in Glaucoma Patients in Ghana

2020· article· en· W3092833878 on OpenAlexaff
Emmanuel Kobia‐Acquah, Gloria Atta-Penkra Gyekye, Ellen Konadu Antwi-Adjei, Nana Yaa Koomson, Francis Cobbina, Richard Donkor, Prince Kwaku Akowuah

Bibliographic record

VenueJournal of Glaucoma · 2020
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMedicineGlaucomaOphthalmologyLogistic regressionDemographicsMedical recordGlaucoma medicationCross-sectional studyOptometryInternal medicinePathology

Abstract

fetched live from OpenAlex

PRECIS: Dry eye disease (DED) observed in this study is associated with ocular surface abnormalities as shown by specific dry eye tests. Changes in tear quality may be responsible for dry eye symptoms among the participants. PURPOSE: This study sought to evaluate DED in glaucoma patients in Ghana. MATERIALS AND METHODS: This was a hospital-based descriptive cross-sectional study involving glaucoma patients on topical glaucoma treatment for at least 6 months. The medical records of participants were thoroughly reviewed for information on demographics, ocular history, medical history, number of topical antiglaucoma medications used within the last 6 months, and any other ophthalmic medications used by the participants. An Ocular Surface Disease Index (OSDI) questionnaire was administered to each participant, after which Schirmer test and tear break-up time (TBUT) were performed on each participant in a controlled environment. RESULTS: A total of 100 individuals participated in the study. The mean±SD age of participants was 60.44±14.05 years. The majority (60.0%) of the participants were females and 55.0% of participants used 2 or more topical antiglaucoma medication. Of the participants, 81.0% reported subjective dry eye symptoms. Schirmer test and TBUT showed that 55.0% and 87.0% of the participants had decreased tear production and abnormal tear quality, respectively. Multiple logistic regression showed a significant association between age and abnormal OSDI (P=0.037), Schirmer test (P=0.003), and TBUT (P=0.042); the number of topical glaucoma medications and OSDI (P=0.016) and Schirmer test (P=0.009). The prevalence of DED was 23.0%. Increasing age was associated with an ∼7 times higher odds of having DED (P=0.0019), using >2 glaucoma medications with ∼4.5 times higher odds of having DED (P=0.001), 5 or more years of glaucoma medication use with ∼4 times higher odds of DED (P=0.009), and both benzalkonium chloride and sodium chlorite as preservative was associated with ∼3.5 times higher odds of DED (P=0.047). CONCLUSION: DED is prevalent among glaucoma patients in Ghana and is associated with age, duration of glaucoma medication, type of preservatives, and number of topical glaucoma medications.

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 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 score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.270
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.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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