CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/pU4GmUJRsh @srtoolbox #NetworkMetaAnalysis #Automation #ICASR @Geointheworld @eggersnsf @AdrianiNikol
CINeMA: Software for semiautomated assessment of the confidence in the results of network meta-analysis.
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Mar 2020 – Apr 2023Where it's discussed
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X / Twitter7 posts
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What people are saying
The overall tone suggests a neutral stance, exemplified by posts that mainly cite the publication's title and mention related hashtags or usernames without elaboration. The minimal engagement and lack of detailed commentary indicate that these discussions are more about sharing information than analyzing its importance or impact.
The discussions show minimal opinion or critique, indicating neutrality or indifference towards the publication.
The posts do not express notable curiosity or enthusiasm, focusing mainly on sharing or mentioning the article without detailed perspectives.
Interactions are sparse and superficial, with little depth or sustained discussion about the software or its implications.
The overall conversations seem to have negligible influence on broader research practices or clinical decision-making, reflecting limited perceived significance.
Abstract in brief
- CINeMA is a user-friendly, open-source web application designed to assess the confidence in the results of network meta-analyses (NMA), which compare multiple health interventions by combining direct and indirect evidence.
- The platform evaluates six key domains (study bias, reporting bias, indirectness, imprecision, heterogeneity, and incoherence) that influence confidence levels, guiding users through systematic assessments and summarizing the overall certainty of treatment effects as high, moderate, low, or very low.
- CINeMA streamlines the process by allowing users to upload data, generate network plots, perform analyses with R, and visually interpret the evidence quality, thereby enhancing transparency and decision-making in healthcare research.
Top posts
Most liked on X and BlueskyRT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
All mentions
CINeMA Software for Confidence Assessment in Network Meta-Analysis
CINeMA is a user-friendly, open-source web application designed to assess the confidence in the results of network meta-analyses, comparing multiple health interventions by combining direct and indirect evidence.
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
RT @Farhad_Cochrane: CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/…
CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis https://t.co/pU4GmUJRsh @srtoolbox #NetworkMetaAnalysis #Automation #ICASR @Geointheworld @eggersnsf @AdrianiNikol
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