Editverse: PRISMA-NMA Checklist

PRISMA-NMA Checklist: 32 Items With a Worked Example

The PRISMA-NMA checklist is the reporting standard that journals expect when a systematic review includes a network meta-analysis. Hutton and colleagues published it in 2015 as an extension to the original PRISMA statement, and it runs to 32 items [1]. Twenty-seven of them are the familiar PRISMA items with wording adapted to networks of treatments, and five are new items about the geometry of the…

Editverse: Minimum Number of Studies for a Meta-Analysis

Minimum Number of Studies for a Meta-Analysis: How Many Do You Actually Need?

Almost every researcher who reaches the synthesis stage asks the same question, usually in a panic, usually at 11pm. You have screened a few thousand records, you have five studies left, and you want to know whether that is enough. The honest answer to the minimum number of studies for meta-analysis is two, and that answer is almost useless on its own. Two studies clear…

Editverse: Common Meta-Analysis Mistakes and How to Avoid Them

Common Mistakes in Meta-Analysis and How to Avoid Them: A Guide for Busy Researchers

Meta-analysis mistakes are the quiet reason many pooled analyses get desk-rejected or, worse, published and later contradicted. A meta-analysis promises the highest tier of evidence, yet the same technical slips appear again and again across specialties, from a fixed-effect model forced onto heterogeneous trials to a funnel plot read like a horoscope. This guide walks through the twelve errors we see most often at Editverse…

dental research trend analysis

Analyze Trends: Forecasting Methods That Predict Future Directions in Dental Science

Our ‘dental research trend analysis’ provides insights into the latest trends and future directions in dental research and practice.

Editverse: Build Your Legacy

Build Your Legacy: Long-Term Strategies for Creating Lasting Scientific Contributions

Establish your dental research legacy with our expert support. Read our case study on proven strategies for long-term scientific impact.