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Research Synthesis Methods|February 2, 2026
StudyTypeTeller-Large language models to automatically classify research study types for systematic reviewsSimona Emilova Doneva, Shirin de Viragh, Hanna Hubarava, et al.
Research Synthesis Methods|February 2, 2026
Weighted corrected covered area (wCCA): A measure of informational overlap among reviewsXiangji Ying, Konstantinos I Bougioukas, Dawid Pieper, et al.
Research Synthesis Methods|February 2, 2026
What happens to qualitative studies initially presented as conference abstracts: A survey among study authorsMarwin Weber, Simon Lewin, Joerg J Meerpohl, et al.
Research Synthesis Methods|February 2, 2026
Sensitivity analysis for reporting bias on the time-dependent summary receiver operating characteristics curve in meta-analysis of prognosis studies with time-to-event outcomesYi Zhou, Ao Huang, Satoshi Hattori
Research Synthesis Methods|February 2, 2026
A comparison of combined p-value functions for meta-analysisLeonhard Held, Felix Hofmann, Samuel Pawel
Research Synthesis Methods|February 4, 2026
Compact large language models for title and abstract screening in systematic reviews: An assessment of feasibility, accuracy, and workload reductionAntonio Sciurti, Giuseppe Migliara, Leonardo Maria Siena, et al.
Research Synthesis Methods|February 4, 2026
The application of ROBINS-I guidance in systematic reviews of non-randomised studies: A descriptive studyZipporah Iheozor-Ejiofor, Jelena Savović, Russell J Bowater, et al.
Research Synthesis Methods|February 2, 2026
Machine learning for identifying randomised controlled trials when conducting systematic reviews: Development and evaluation of its impact on practiceXuan Qin, Minghong Yao, Xiaochao Luo, et al.
Research Synthesis Methods|February 2, 2026
A critical assessment of matching-adjusted indirect comparisons in relation to target populationsZiren Jiang, Jialing Liu, Demissie Alemayehu, et al.
Research Synthesis Methods|February 2, 2026
How to conduct an individual participant data meta-analysis in response to an emerging pathogen: Lessons learned from Zika and COVID-19Lauren Maxwell, Priya Shreedhar, Laura Merson, et al.
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