Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
5 authors.
Amanda WilliamsCenter for Advanced Microbiome Research and Innovation, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-1343-1101
Amaury MarosCenter for Advanced Microbiome Research and Innovation, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0009-0006-4884-1476
Michael T FranceCenter for Advanced Microbiome Research and Innovation, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6029-0201
Jacques RavelCenter for Advanced Microbiome Research and Innovation, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0851-2233
Johanna B HolmCenter for Advanced Microbiome Research and Innovation, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7646-4085
Funding
Elucidating causes of vaginal symptoms using a multi-omics approach - Admin. SupplementR01NR015495 · NINR · UNIVERSITY OF MARYLAND BALTIMORE · PI FORNEY, LARRY J, RAVEL, JACQUES · 2016 to 2020
$2.6M
Systems-Level Research in Microbial PathogenesisT32AI162579 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI NICHOLAS H CARBONETTI, Julie Dunning Hotopp · 2022 to 2026
$1.7M
Integrating multi-omics data: Modeling biomarkers and mechanisms to reduce bacterial vaginosis recurrenceK01AI163413 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HOLM, JOHANNA B. · 2021 to 2025
$464k
Bill and Melinda Gates Foundation OPP1189217National Institute of Allergy and Infectious Diseases K01AI163413National Institute of Allergy and Infectious Diseases T32AI162579National Institute of Allergy and Infectious Diseases UH2AI083264NIAID NIH HHS K01 AI163413NIAID NIH HHS T32 AI162579NINR NIH HHS R01NR015495
6 · The paper itself
Abstract
Taxonomic classification alone fails to capture the ecological and functional diversity of vaginal microbiomes, particularly those dominated by
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.
Not all vaginal microbiomes are equal: functional context shapes immune landscapes. · full record | OpenQuestion