Dyslipidemia among adult HIV patients on antiretroviral therapy and its association with age and body mass index in Ethiopia: A systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Dyslipidemia is a common public health problem in people living with human immunodeficiency virus (HIV) who are receiving antiretroviral therapy and increases the risk of cardiovascular disease. Although evidence indicates that the prevalence of dyslipidemia is high, estimated pooled data are not well documented. Therefore, we aimed to estimate the pooled prevalence of dyslipidemia in adult people living with HIV receiving antiretroviral therapy in Ethiopia. METHOD: We conducted a systematic review and meta-analysis of the literature. The following databases and grey literature were searched: PubMed, WorldCat, ScienceDirect, DOAG, African Journals Online, Google Scholar, and African Index Medicine. We included all comparative epidemiological studies that reported the prevalence of high concentration of total cholesterol, triglycerides, and low density lipoprotein, and low concentration of high density lipoprotein cholesterol that were published between January 2003 and July 2023. The random effects model was used to pool the outcome of interest. Additionally, subgrouping, sensitivity analyses, and funnel plots were performed. R software Version 4.2.1 was used for statistical analysis. RESULT: Seventeen studies with a total of 3929 participants were included in the meta-analysis. The pooled prevalence of dyslipidemia, high total cholesterol, high triglyceride, elevated level of low density lipoprotein and low level of high density lipoprotein cholesterol were 69.32% (95% CI: 63.33, 74.72), 39.78% (95%CI: 32.12, 47.96), 40.32% (95%CI: 34.56, 46.36), 28.58% (95%CI: 21.81, 36.46), and 36.17% (95%CI: 28.82, 44.24), respectively. Age and body mass index were associated with high total cholesterol, triglyceride, and low-density lipoprotein cholesterol levels. CONCLUSION: The authors concluded that the prevalence of dyslipidemia in Ethiopia is high in people living with HIV receiving antiretroviral therapy. Early detection of dyslipidemia and its integration into treatment are essential for preventing cardiovascular disease. TRIAL REGISTRATION: Protocol registered with PROSPERO (CRD42023440125).
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.031 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".