Epidemiology of multimorbidity among people living with HIV in sub-Saharan Africa: a systematic review protocol
Bibliographic record
Abstract
Introduction Sub-Saharan Africa remains the epicentre of the HIV pandemic, yet enormous knowledge gaps still exist to elicit a comprehensive portrait of multimorbidity and HIV linkage. This study aims to conduct a systematic meta-analysis of peer-reviewed literature to investigate the current status of multimorbidity epidemiology among people living with HIV (PLHIV) in sub-Saharan Africa. Methods and analysis Our review will assess observational studies (ie, cohort, case–control and cross-sectional) on multimorbidity associated with HIV/AIDS between 1 January 2005 and 31 October 2020 from sub-Saharan Africa. Databases to be searched include PubMed/MEDLINE, Scopus, Web of Science, Cochrane library, African Index Medicus and African Journals Online. We will also search the WHO clinical trial registry and databases for systematic reviews. The search strategy will involve the use of medical subject headings and key terms to obtain studies on the phenomena of HIV and multimorbidity at high precision. Quality assessment of eligible studies will be ascertained using a validated quality assessment tool for observational studies and risk of bias through sensitivity analysis to identify publication bias. Further, data on characteristics of the study population, multimorbid conditions, epidemiological rates and spatial distribution of multimorbid conditions in PLHIV will be extracted. Heterogeneity of individual studies will be evaluated using the I2 statistic from combined effect size estimates. The statistical analysis will be performed using STATA statistical software V.15 and results will be graphically represented on a forest plot. Ethics and dissemination Ethical approval is not applicable in this study as it is a systematic review of published literature. The review findings may also be presented at conferences or before other relevant stakeholders. PROSPERO registration number CRD42020148668.
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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 | 0.072 | 0.062 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.016 | 0.015 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.062 | 0.008 |
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".