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Record W4381251777 · doi:10.5539/gjhs.v15n7p11

The Prevalence of Dry Eye Syndrome in Systemic Lupus Erythematosus Patients in Saudi Arabia

2023· article· en· W4381251777 on OpenAlexvenueno aff
Rahaf Salem, Samir Al-Mansouri, Ala‘a Baghazal

Bibliographic record

VenueGlobal Journal of Health Science · 2023
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRheumatologyConfidence intervalInternal medicineSystemic diseaseSystemic lupus erythematosusOutpatient clinicConnective tissue diseaseDiseaseDermatologyPediatricsAutoimmune disease

Abstract

fetched live from OpenAlex

INTRODUCTION: Systemic Lupus Erythematosus (SLE) is a chronic multi-systemic autoimmune connective tissue disorder that is known to have variable manifestations with a remitting/relapsing course depending on the affected system. SLE can affect all the major organs in the human body including the heart, brain, and kidneys. Although the eye is not a primary target of autoimmune insult in SLE patients, one third of patients can present with significant ocular manifestations as it can affect any part of the ocular system. Furthermore, ocular involvement could be the first presenting symptom of SLE and may mirror the systemic disease activity. The worldwide prevalence of SLE varies, however, based on a study conducted in 2002 in central Saudi Arabia, the prevalence of SLE was estimated to be 19.28 per 100,000. STUDY AIM: To identify the prevalence of dry eye syndrome in Systemic Lupus Erythematosus diagnosed patients in Riyadh. METHODS: A cross sectional study that involved a total of 135 patients from Rheumatology outpatient clinic setting at King Khalid University Hospital in Riyadh, Kingdom of Saudi Arabia. Data was collected via McMonnies questionnaire, which is used as a screening tool for dry eye syndrome. Data analysis included descriptive statistics computed for continuous variables, including means, standard deviation (SD), minimum and maximum values, as well as 95% confidence interval (CI). Percentages and 95% CI were used for categorical variables. RESULTS: Out of 135 SLE patients, females were 87.4% ±2.9 (95%CI: 80.6–92.1.3), while males were 12.6% ±2.9 (95%CI: 7.9–19.4), Among the 118 female patients, 56% (n=66) lied between the age of 25-45 years. Most common symptom in 45.9% (95%CI: 37.6–54.5) of our patients was Dryness of Eyes. The predominant age group of our cohort was that of 25–45 years (57%) Among our cohort, 50.4% (95%CI: 41.9–58.8) patients suffered from Dry eye syndrome, with 12.6% males and 87.4% females. CONCLUSION: A high prevalence of dry eye syndrome was found in our study with a percentage of 50.4%, also a female predominance was found in patients having dry eye syndrome.

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 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)0.000
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.346
Teacher spread0.322 · 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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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