ArticleFrontiers in bioinformatics2026
Engaging with uncertainty when engagement is uncertain.
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncertainty is intrinsic to scientific measurement, modelling, and forecasting, yet data visualization practices typically frame uncertainty communication as a task-oriented problem requiring statistical literacy. As a result, uncertainty is rarely leveraged as a resource for engagement, curiosity, or learning, especially for non-expert and non-motivated audiences. This paper examines uncertainty communication through the lens of data visualization design, drawing on cognitive psychology and aesthetic theory. Intuitive, gist-based encodings can reduce cognitive load, support pre-attentive processing, and foster reflective engagement. Adopting such encodings more broadly could advance uncertainty literacy and enable visualizations that are both epistemically rigorous and experientially engaging. Achieving this requires closer integration between statistical thinking and design practice.
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What OpenQuestion holds
Registered trials
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.