R Script for Meta-Analysis of Hypertension Prevalence in Indian HIV Patients

Himel Mondal provides R code for conducting a systematic review and meta-analysis on hypertension prevalence among people living with HIV in India. The code implements forest plots, leave-one-out sensitivity analysis, and funnel plots. It was last updated in April 2026 and is associated with the PROSPERO registration CRD420261343183.

Use Cases

• Generate forest plots to visualize pooled effect estimates and confidence intervals from included studies.
• Perform leave-one-out sensitivity analysis to assess the influence of individual studies on the overall meta-analysis result.
• Create funnel plots to visually inspect for publication bias across the systematic review's included studies.
• Replicate the analytical workflow for the specific study on hypertension prevalence in Indian HIV patients.

Strengths

• Code is openly licensed under CC-BY-4.0, permitting reuse and modification.
• Implements three standard meta-analysis techniques: forest plots, leave-one-out, and funnel plots.
• Associated with a formally registered systematic review (PROSPERO:CRD420261343183).

Limitations

• The dataset is a 20.5 KB code file, not a data corpus, limiting direct analytical use.
• No accompanying raw study data or extracted summary statistics are provided.
• Code is specific to one research question and may require significant adaptation for other topics.

Provenance

Source

Himel Mondal via figshare.

Collection Method

Authored R code for a specific systematic review and meta-analysis project.

Freshness

Last updated April 2026.

Geography

India (focus of the underlying systematic review).