Dyslipidemia among HIV-infected patients in Ethiopia: a systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background Dyslipidemia is responsible for more than half of the global ischemic heart disease (IHD) and more than 4 million deaths annually. Assessing the prevalence of dyslipidemia can be crucial in predicting the future disease development and possible intervention strategies. Therefore, this systematic review and meta-analysis was aimed at assessing the pooled prevalence of dyslipidemia in HIV-infected patients. Methods Electronic databases such as EMBASE, Google Scholar, PubMed, Web of Science, ResearchGate, Cochrane Library, and Science Direct were searched for articles and grey literature. All relevant studies found until our search period of May 24, 2023 were included. The Newcastle–Ottawa Quality Assessment Scale was used to assess the quality of the included studies. The data were extracted in Microsoft Excel. The STATA version 14 software was used to conduct the meta-analysis. I 2 and Cochran’s Q test were employed to assess the presence of heterogeneity between studies. Due to the presence of heterogeneity, a random effect model was used. The publication bias was assessed using the symmetry of the funnel plot and Egger's test statistics. Moreover, subgroup analysis, and sensitivity analysis were also done. Results A total of nine studies that reported the prevalence of dyslipidemia were included. The overall pooled prevalence of dyslipidemia among HIV-infected patients in Ethiopia was 67.32% (95% CI = 61.68%–72.96%). Furthermore, the overall pooled estimates of dyslipidemia among ART-taking and treatment-naïve HIV-infected patients were 69.74% (95% CI: 63.68–75.8, I 2 = 87.2) and 61.46% (95% CI: 45.40–77.52, I 2 = 90.3), respectively. Based on lipid profile fractionations, the pooled estimates for high total cholesterol (TC) were 39.08% (95% CI: 31.16–46.99), high triglycerides were 38.73% (95% CI: 28.58–48.88), high low density lipoprotein (LDL-c) was 28.40% (95% CI: 17.24–39.56), and low high density lipoprotein (HDL-c) was 39.42% (95% CI: 30.47–48.38). Conclusion More than two-thirds of HIV-infected patients experienced dyslipidemia. Therefore, it's critical to regularly evaluate lipid alterations in HIV-infected patients in order to prevent the onset of atherosclerosis and other cardiovascular problems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".