# Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-extraction-for-evidence-synthesis-using-a-large-language-model-a-proof-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gerald Gartlehner,Leila C. Kahwati,Rainer Hilscher,Ian B. Thomas,Shannon Kugley,Karen Crotty,Meera Viswanathan,Barbara Nußbaumer-Streit,Graham Booth,Nathaniel Erskine,Amanda Konet,Robert Chew |
| Citations | 148 |
| DOI | 10.1002/jrsm.1710 |
| Fields | Biochemistry, Genetics and Molecular Biology,Decision Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jrsm.1710 |
| OpenAlex ID | https://openalex.org/W4392343921 |
| PMID | 38432227 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Leila C. Kahwati](https://scholariq.org/researchers/leila-c-kahwati/)

## Paper journal

- [Research Synthesis Methods](https://scholariq.org/journals/research-synthesis-methods/)

## Paper primary topic

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)

## Paper topics

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Reliability and Agreement in Measurement](https://scholariq.org/topics/reliability-and-agreement-in-measurement/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.