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…

AMSTAR 2 checklist explained by Editverse

AMSTAR 2: How to Use the 16 Items, 7 Critical Domains and Confidence Ratings

.ev-am2 table{border-collapse:collapse!important;width:100%!important;font-size:.93rem!important;background:#ffffff!important}.ev-am2 th{background:#003057!important;color:#ffffff!important;text-align:left!important;padding:9px 10px!important;border:1px solid #cddaea!important}.ev-am2 td{background:#ffffff!important;color:#333333!important;padding:9px 10px!important;border:1px solid #cddaea!important;vertical-align:top!important}.ev-am2 tr:nth-child(even) td{background:#f0f5fa!important}.ev-am2 .tw{overflow-x:auto!important;margin:20px 0!important}.ev-am2 figure{margin:30px 0!important}.ev-am2 figcaption{color:#333333!important;font-size:.9rem!important}.ev-am2 img{max-width:100%!important;height:auto!important;display:block!important;margin:0 auto!important}.ev-am2 .grid{display:grid!important;grid-template-columns:repeat(auto-fit,minmax(230px,1fr))!important;gap:20px!important;margin:24px 0!important}.ev-am2 .card{border:1px solid #d8dee6!important;border-top:4px solid #003057!important;border-radius:8px!important;padding:24px 20px!important;background:#ffffff!important}.ev-am2 .card p{color:#333333!important;margin:0 0 12px 0!important}.ev-am2 .card a{color:#003057!important;font-weight:600!important;text-decoration:underline!important} AMSTAR 2 is a 16-item critical appraisal tool that tells you how much confidence to place in the results of a systematic review of healthcare interventions. Beverley Shea and colleagues published…

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…