Combining endpoint and change data did not affect the summary standardised mean difference in pairwise and network meta-analyses: An empirical study in depression [0.03%]
结合终点和变化数据不会影响一对一Meta分析和网络元分析中的汇总标准化均值差：抑郁症中的一项实证研究
Edoardo G Ostinelli,Orestis Efthimiou,Yan Luo et al.
Edoardo G Ostinelli et al.
When studies use different scales to measure continuous outcomes, standardised mean differences (SMD) are required to meta-analyse the data. However, outcomes are often reported as endpoint or change from baseline scores. Combining correspo...
Advancing unanchored simulated treatment comparisons: A novel implementation and simulation study [0.03%]
进无锚点的模拟治疗比较方法：一种新方法及模拟研究
Shijie Ren,Sa Ren,Nicky J Welton et al.
Shijie Ren et al.
Population-adjusted indirect comparisons, developed in the 2010s, enable comparisons between two treatments in different studies by balancing patient characteristics in the case where individual patient-level data (IPD) are available for on...
Comparative Study
Research synthesis methods. 2024 Jul;15(4):657-670. DOI:10.1002/jrsm.1718 2024
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments [0.03%]
结合随机和非随机数据预测竞争处理的异质性效应
Konstantina Chalkou,Tasnim Hamza,Pascal Benkert et al.
Konstantina Chalkou et al.
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment ef...
Meta-Analysis
Research synthesis methods. 2024 Jul;15(4):641-656. DOI:10.1002/jrsm.1717 2024
Development of a search filter to retrieve reports of interrupted time series studies from MEDLINE and PubMed [0.03%]
从MEDLINE和PubMed中检索间断时间序列研究报道的搜索过滤器的开发
Phi-Yen Nguyen,Joanne E McKenzie,Simon L Turner et al.
Phi-Yen Nguyen et al.
Background: Interrupted time series (ITS) studies contribute importantly to systematic reviews of population-level interventions. We aimed to develop and validate search filters to retrieve ITS studies in MEDLINE and PubM...
Can large language models replace humans in systematic reviews? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages [0.03%]
大型语言模型能否取代人类进行系统性回顾？评估GPT-4在筛选和从同行评审及灰色文献中提取多语言数据的有效性
Qusai Khraisha,Sophie Put,Johanna Kappenberg et al.
Qusai Khraisha et al.
Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has ...
Easy-Amanida: An R Shiny application for the meta-analysis of aggregate results in clinical metabolomics using Amanida and Webchem [0.03%]
易-阿马尼达：一个用于临床代谢组学中汇总结果的荟萃分析的R谢尼应用程序，使用Amanida和Webchem
Maria Llambrich,Pau Satorra,Eudald Correig et al.
Maria Llambrich et al.
Meta-analysis is a useful tool in clinical research, as it combines the results of multiple clinical studies to improve precision when answering a particular scientific question. While there has been a substantial increase in publications u...
LFK index does not reliably detect small-study effects in meta-analysis: A simulation study [0.03%]
LFK指数在荟萃分析中不能可靠地检测小型研究效应：模拟研究
Guido Schwarzer,Gerta Rücker,Cristina Semaca
Guido Schwarzer
The LFK index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the LFK index test ...
Data extraction for evidence synthesis using a large language model: A proof-of-concept study [0.03%]
使用大型语言模型进行证据合成的数据提取：概念验证研究
Gerald Gartlehner,Leila Kahwati,Rainer Hilscher et al.
Gerald Gartlehner et al.
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient acc...
A comprehensive review and shiny application on the matching-adjusted indirect comparison [0.03%]
匹配调整的间接比较的全面回顾及Shiny应用程序介绍
Ziren Jiang,Joseph C Cappelleri,Margaret Gamalo et al.
Ziren Jiang et al.
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three comm...