Naïve pooling of randomized and non-randomized evidence in network meta-analyses: a meta-epidemiological study protocol
Chongyang Zhao, Jia Song, Qin Wang, Li Li, Deying Kang · 2026
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Description
Chongyang Zhao and co-authors set out a plan to audit how evidence networks mix study types in a 2026 protocol paper. Network meta analysis joins direct and indirect proof across many treatments. Mixing randomized trials with non randomized studies without care for design gaps can skew effects and rankings.
The planned study will hunt published networks from 2020 to 2025 that mixed both types. Each main analysis will be sorted into four classes, from hidden naive pooling to clean design aware work. Rates will be tracked over time and by field traits. Paired results will show how often effects flip or rankings shift when design is handled well.
Catalog record
| CREATOR | Chongyang Zhao, Jia Song, Qin Wang, Li Li, Deying Kang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35410 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |