meta-pipe: An LLM-agent pipeline for end-to-end automated systematic review and meta-analysis
Objective: To describe the architecture and design rationale of meta-pipe, an open-source large language model (LLM)-agent pipeline that integrates the complete systematic review and meta-analysis (SR/MA) workflow -- from literature search through statistical analysis, manuscript generation, and quality assurance -- with mandatory human oversight at critical decision points. Study Design and Setting: We developed a 10-stage modular pipeline integrating Claude (Anthropic; Opus 4 for reasoning, Haiku 3.5 for classification) for LLM-assisted screening and extraction, Python (~3,600 lines of code) for automation, R (meta, metafor, gemtc, netmeta) for statistical analysis, and Quarto for manus...
| Authors | Hsieh-Ting Lin, Jiunn-Tyng Yeh |
|---|---|
| Primary category | cs.IR |
| Published | 5 April 2026 |
| Last updated at source | 5 April 2026 |
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