The effect of aerobic exercises on lipid profile of patients with human immunodeficiency virus infection undergoing highly active antiretroviral therapy: a protocol for a systematic review
Bibliographic record
Abstract
Patients living with human immunodeficiency virus (HIV) infection who are treated with highly active antiretroviral therapy (HAART) often experience metabolic changes that have an adverse effect on their over-all health status. This review will assess the effect of aerobic exercises on the lipid profile of individuals with HIV infection undergoing HAART. Cochrane Library, MEDLINE, CINAHL (Cumulative index to Nursing and Allied Health Literature), OVID, ProQuest, AMED (Allied and Complementary Medicine Database), PsycINFO, Web of Science Core Collection and Pedro databases will be searched until June 2018. Studies that investigated the effects of aerobic exercises on the lipid profile of HAART treated patients with HIV will be included. Two reviewers will screen all articles for eligibility and independently evaluate the risk of bias, complete quality assessment and extract data for all included articles. Homogenous quantitative outcome data will be analyzed using a random effect model of meta-analysis with results presented as relative risk for dichotomous variable and standardized mean for continuous variable. Heterogeneous qualitative data will be analyzed using narrative synthesis. This systematic review will provide evidence about the effectiveness of aerobic exercises in managing HAART related dyslipidemia in patients with HIV infection and thus provide the impetus for more structured exercise interventions.
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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 | 0.037 | 0.052 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.015 | 0.016 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".