glp1-lbm-dxa-meta-analysis
Data and R code for the meta-analysis of DXA-measured lean and fat mass with GLP-1 and dual GIP/GLP-1 receptor agonists (phase 3 RCTs; PROSPERO CRD420261323497).
- meta-analysis
- DXA
- GLP-1
- R
Research
I work on how medical evidence is produced and brought together: clinical trials and the methodology of evidence synthesis.
I develop reproducible workflows for systematic reviews and meta-analyses, aiming to make the aggregation of existing literature more transparent, traceable and resilient to error. I care about sharing data and analysis code openly, and about keeping claims within what the data can support.
Focus areas
Data, code and automation infrastructure are open on GitHub.
Data and R code for the meta-analysis of DXA-measured lean and fat mass with GLP-1 and dual GIP/GLP-1 receptor agonists (phase 3 RCTs; PROSPERO CRD420261323497).
Automation for scientific meta-analysis: PubMed API, NLP, PDF parsing, hallucination checks and reproducible-research infrastructure.
For the most current list, see the ORCID and Google Scholar profiles.
Research Square (preprint)
11th Congress on Controversies in Stem Cell Transplantation and Cellular Therapies (COSTEM 2026), Berlin, Germany · 1–4 October 2026
11th Congress on Controversies in Stem Cell Transplantation and Cellular Therapies (COSTEM 2026), Berlin, Germany · 1–4 October 2026
11th Congress on Controversies in Stem Cell Transplantation and Cellular Therapies (COSTEM 2026), Berlin, Germany · 1–4 October 2026
Cureus · doi:10.7759/cureus.91588
Med Bull Sisli Etfal Hosp 2022;56(3):360–364 · doi:10.14744/SEMB.2021.78861
Dokuz Eylül Üniversitesi Tıp Fakültesi Dergisi 2014;28(2):45–50