Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
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
11 authors at 3 institutions in 2 countries.
Yasmin Castillos das NevesLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.ORCID 0000-0002-7174-1696
Ana Julia ReisLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.ORCID 0000-0002-0317-9179
Marcos Alaniz RodriguesLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.ORCID 0000-0003-1443-3870
Erica ChimaraRede Brasileira de Pesquisa em Tuberculose (REDE-TB), Rio Grande, Rio Grande do Sul, Brazil.
Maria Cristina da Silva LourençoRede Brasileira de Pesquisa em Tuberculose (REDE-TB), Rio Grande, Rio Grande do Sul, Brazil.
Jacques FountainDivision of Immunity and Pathogenesis, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida, Orlando, USA.
Ivy Bastos RamisLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.
Andrea von GrollLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.ORCID 0000-0002-6727-372X
Yulia GerasimovaDepartment of Chemistry, College of Sciences, University of Central Florida, Orlando, Florida, Orlando, USA.ORCID 0000-0001-8804-9770
Kyle H RohdeDivision of Immunity and Pathogenesis, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida, Orlando, USA.ORCID 0000-0001-9838-3238
Pedro Eduardo Almeida da SilvaLaboratory of Mycobacteria, Núcleo de Pesquisa em Microbiologia Médica, Universidade Federal do Rio Grande, Rio Grande do Sul, Brazil.ORCID 0000-0003-1666-1295
National Education and Research Network · BRUniversity of Central Florida · USInstituto Adolfo Lutz · BR
Funding
Point-of-care detection of TB and NTM pathogens with Fluorescent Deoxyribozyme Sensors and 3D-printed, battery powered device.R01AI149468 · NIAID · UNIVERSITY OF CENTRAL FLORIDA · PI GERASIMOVA, YULIA, ROHDE, KYLE H · 2020 to 2023
$587k
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 404170/2019-6Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) 21/2551-0000062-7HHS | National Institutes of Health (NIH) R01AI149468NIAID NIH HHS R01 AI149468
6 · The paper itself
Abstract
Tuberculosis (TB) and infectious diseases caused by non-tuberculous mycobacteria (NTM) are global concerns. The development of a rapid and accurate diagnostic method, capable of detecting and identifying different mycobacteria species, is crucial. We propose a molecular approach, the BiDz-TB/NTM, based on the use of binary deoxyribozyme (BiDz) sensors for the detection of
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.
Detection of Mtb and NTM: preclinical validation of a new asymmetric PCR-binary deoxyribozyme sensor assay. · full record | OpenQuestion