Evidence map›Paper›PMID 41789459›Full record

ReviewResearch synthesis methods2026

NMAstudio 2.0: An interactive tool for network meta-analysis to enhance understanding, interpretation, and communication of the findings.

Tianqi Yu, Silvia Metelli, Theodoros Papakonstantinou, Anna Chaimani

Abstract readReview
In one paragraph

Review in Research synthesis methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tianqi YuCenter of Research in Epidemiology and Statistics (CRESS-U1153), https://ror.org/05f82e368Université Paris Cité, Inserm, France.
Silvia MetelliCenter of Research in Epidemiology and Statistics (CRESS-U1153), https://ror.org/05f82e368Université Paris Cité, Inserm, France.
Theodoros PapakonstantinouLaboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, https://ror.org/02j61yw88Aristotle University of Thessaloniki School of Medicine, Greece.
Anna ChaimaniOslo Center for Biostatistics and Epidemiology, Department of Biostatistics, https://ror.org/01xtthb56University of Oslo, Norway.ORCID https://orcid.org/0000-0003-2828-6832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network meta-analysis (NMA) is a vital methodology for synthesizing evidence across multiple treatments and informing medical decision-making. However, effective visualization and interpretation of results from large networks of interventions remain challenging, particularly for non-specialists. NMAstudio 2.0 is an innovative, interactive web application designed to address these difficulties by streamlining NMA workflows and enhancing result visualization. Developed using Python and R, NMAstudio 2.0 seamlessly integrates with established NMA frameworks. Our exemplar application of NMAstudio 2.0 using a Cochrane Review comparing several treatments for chronic plaque psoriasis demonstrates its capacity to facilitate all crucial steps of an NMA. The application features an intuitive interface for uploading data, automating analyses, generating interactive visualizations such as network diagrams, forest plots, ranking plots, and producing unique outputs like boxplots for transitivity checks and bidimensional forest plots. Most outputs are dynamically linked with the network diagram, enabling users to interactively explore evidence networks, apply advanced filtering, and highlight specific features by selecting nodes or edges within the diagram. While NMAstudio 2.0 aims to simplify NMAs, it also incorporates steps during the data upload process to mitigate the risk of producing poorly reported NMAs. NMAstudio 2.0 represents a significant step forward in improving the usability and accessibility of NMA, offering researchers a robust, versatile platform for evidence synthesis. Its integration of advanced features with an emphasis on user experience positions it as a valuable resource for enhancing decision-making and promoting evidence-based practice across diverse contexts.

Indexed as

comparative effectiveness researchdata synthesisinteractive visualizationsmultiple treatmentsopen-access software

Identifiers

PMID41789459
PMCPMC13311350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.