Ocular Diseases in HIV-positive Patients in a Tertiary Hospital in Nigeria
Bibliographic record
Abstract
Aims: To determine the pattern of ocular disorders in HIV-positive patients in a tertiary ospital in Nigeria. Study Design: A cross-sectional hospital based study on confirmed HIV positive adult patients attending the HIV clinic in University of Port Harcourt Teaching Hospital. Duration of Study: November and December 2011. Methodology: Consecutive patients within the inclusion criteria were recruited until the required sample size was met. The visual acuity was tested using the Snellen’s chart and the illiterate E-chart. Ocular examination of the adnexial and anterior segments were done using a pen torch and a slit lamp biomicroscope. Fundoscopy was done using a direct and indirect ophthalmoscope as well as with a 90D lens. Other information such as CD4 count and HIV serotype were retrieved from the patient’s case notes. The data was analysed using EPI-info version 7.0. Statistical methods such as the frequency and chi-square were used to test the significance of association. Level of significance was drawn at P<0.05. Results: A total of 411 patients were enrolled in this study. The age range was between 18-69 years with a mean age of 36.9 years. There was a female preponderance with a male to female ratio of 1:2. Ocular disorders were seen in 37.1% of patients studied. The commonest manifestation was the ocular adnexial manifestation and conjunctival microvasculopathy ranked highest (15.6%) in this group. Herpes zoster ophthalmicus was seen in 5 (1.2%) patients, presumed squamous cell carcinoma in 12(2.9%) and Kaposi sarcoma in 3(0.7%). Chorioretinitis was found in 12(2.9%), retinal microvasculopathy in 19(4.6%) and maculopathy in 15(3.6%). There was no case of CMV retinitis. Conclusion: Ocular findings seen in HIV- positive patients were mostly adnexial and occurred in 37% of the study population.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".