In one paragraphArticle in medRxiv : the preprint server for health sciences, 2026. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
21 authors.
Mouhamad SyDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.ORCID 0000-0001-5242-783X Tolla NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0009-0008-3698-1249 Ritika ThakurDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.
Amy GayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0000-0001-6604-8005 Bassirou NgomInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0000-0002-5362-9211 Karina L BellaviaDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.ORCID 0009-0005-3637-2249 David FirerDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.ORCID 0009-0007-1901-4540 Mariama ToureInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0009-0003-5237-571X Ibrahima M NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0000-0003-1049-8263 Younouss DiedhiouInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Amadou M MbayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Jules F GomisInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Awa B DemeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0000-0002-3119-6419 Mouhamadou NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Aida S BadianeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.ORCID 0000-0002-1118-4998 Marietou Faye PayeBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Daouda NdiayeInternational Research and Training Center for Applied Genomics and Health Surveillance (CIGASS) at UCAD, Dakar, Senegal.
Katherine J SiddleDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.ORCID 0000-0002-1799-7295 Funding
Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI NEAFSEY, DANIEL E · 2014 to 2024
$66.5MMedical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0MMedical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7MWest African Emerging Infectious Disease Research Center (WA-EIDRC)U01AI151812 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ANDERSEN, KRISTIAN GRAUGAARD, GARRY, ROBERT F · 2020 to 2024
$13.2MPredoctoral Training Program in Biological Data Science at Brown UniversityT32GM149433 · NIGMS · BROWN UNIVERSITY · PI Emilia Huerta-Sanchez, Sohini Ramachandran · 2024 to 2026
$976kNIAID NIH HHS U01 AI151812NIAID NIH HHS U19 AI110818NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273NIGMS NIH HHS T32 GM149433
6 · The paper itselfAbstract
Emerging infectious diseases and antimicrobial resistance (AMR) have surfaced as two major public health threats over the past two decades. Consequently, integrative surveillance systems capable of detecting both emerging pathogens and resistance-carrying bacteria are crucial. With advances in next-generation sequencing, simultaneous detection of pathogens and AMR is increasingly feasible. In this study, we used short-read metatranscriptomics complemented by total 16S rRNA metagenomic long-read sequencing to analyze paired oral and plasma samples from a cohort of febrile individuals at two locations in Senegal. Oral microbiomes differed in community composition between locations, and reduced diversity and richness were significantly associated with high fever. We identified at least one known pathogen in 15.33 % (23/150) of samples, with
Identifiers
PMID42078366
PMCPMC13131847
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