In one paragraphArticle in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
7 authors.
Aman KumarDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-6962-7851 Ruizheng SunDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4826-5000 Bettina HabibClinical and Health Informatics Research Group, McGill University, Montreal, Canada.
Natasha A Bencivenga-BarryDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.
Ivaylo I IvanovDepartment of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.ORCID 0000-0001-5337-3386 Robyn TamblynClinical and Health Informatics Research Group, McGill University, Montreal, Canada.
Andrew L GoodmanDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-7599-3471 Funding
Role of intestinal commensal-induced Th17 cells and mucosal immunity in metabolic diseaseR01DK098378 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ivaylo Ivanov Ivanov · 2013 to 2026
$6.5MCauses and consequences of interpersonal microbial variationR35GM118159 · NIGMS · YALE UNIVERSITY · PI Andrew L Goodman · 2016 to 2026
$5.6MDiet transformation by the microbiome and its impact on bacterial infectionR01DK133798 · NIDDK · YALE UNIVERSITY · PI Jorge E Galan, Andrew L Goodman · 2022 to 2026
$4.1MMaintenance of mucosal homeostasis by commensal Th17 cellsU01AI163069 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ivaylo Ivanov Ivanov · 2021 to 2026
$2.8MUnderstanding the contributions of microbiome-encoded drug metabolizing enzymesR01AT010014 · NCCIH · YALE UNIVERSITY · PI GOODMAN, ANDREW L · 2019 to 2023
$2.1MNon-redundant functions of type 3 innate lymphoid cells in mucosal immunityR01AI144808 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IVANOV, IVAYLO IVANOV · 2019 to 2022
$1.9MNCCIH NIH HHS R01 AT010014NIAID NIH HHS R01 AI144808NIAID NIH HHS U01 AI163069NIDDK NIH HHS R01 DK098378NIDDK NIH HHS R01 DK133798NIGMS NIH HHS R35 GM118159
6 · The paper itselfAbstract
The majority of people in the U.S. manage health through at least one prescription drug. Drugs classified as non-antibiotics can adversely affect the gut microbiome and disrupt intestinal homeostasis. Here, we identified medications associated with an increased risk of GI infections across a population cohort of more than 1 million individuals monitored over 15 years. Notably, the cardiac glycoside digoxin and other drugs identified in this epidemiological study are sufficient to alter microbiome composition and risk of
Identifiers
PMID39483881
PMCPMC11527249
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