ReviewmSphere2026
Out of the box: toward new frameworks for understanding human microbiomes.
Review in mSphere, 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
The study of the human microbiome (mirroring broader practice across biomedical science) has historically defaulted to the use of simplified, socially constructed "boxes," such as racial and ethnic labels, that fail to accurately capture human variation and fundamentally misdirect the search for mechanisms to explain differences in health outcomes. Five years ago, I proposed a "frameshift," a fundamental conceptual shift away from relying on these categories and toward a more nuanced, careful approach to the complexity of human variation. Moving "out of the box" means tackling the difficult but essential work of analyzing microbial variation through a systems lens, connecting large-scale ecosocial drivers to individual mechanisms and outcomes. In this Full Circle review, I discuss rapid progress in the field toward this new framework and argue that by adopting transdisciplinary methods, we can generate more accurate, actionable, and equitable solutions for human health.
Indexed as
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.