ReviewNPJ digital medicine2026
Sensor wide association studies in digital medicine.
Review in NPJ digital medicine, 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
3 authors.
Funding
Abstract
Assoziation studies revolutionized genomics by rigorously screening large feature sets against health outcomes. Digital medicine now produces similarly high-dimensional, longitudinal sensor data from wearables, smartphones, and connected environments. We propose Sensor-Wide Association Studies (SWAS): structured, feature-wide, hypothesis-generating scans of a pre-specified library of sensor-derived features against one or more pre-defined clinical phenotypes, with transparent feature documentation, appropriate longitudinal modeling, and principled control of multiplicity. This perspective outlines minimal standards, common failure modes, and ethical considerations to help SWAS become a reproducible foundation for digital epidemiology and personalized medicine.
Identifiers
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.