ArticleJournal of clinical microbiology2018
BmGPAC, an Antigen Capture Assay for Detection of Active Babesia microti Infection.
Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed, 29 citations in OpenAlex.
- A Set of Rapid Diagnostic Tool for Babesia microti Infection.Journal of clinical laboratory analysis · 2025Article
- Sorbitol-Induced Synchronisation of Babesia duncani and Assessment of Linoleic Acid Effect on Parasite-Derived Vesicles.Parasite immunology · 2025Article
- Human babesiosis: The past, present and future.Expert reviews in molecular medicine · 2025Review
- Structural and Functional Characterization of the 28 kDa Structured Core of BmSA1, the Major Surface Antigen of Babesia Microti.Proteins · 2025Article
- Research progress on diagnostic techniques for differentFrontiers in cellular and infection microbiology · 2025Review
- Persistent human babesiosis with low-grade parasitemia, challenges for clinical diagnosis and management.Heliyon · 2024Review
- A set of diagnostic tests for detection of active Babesia duncani infection.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024Article
- Identification ofInfection and immunity · 2024Article
- The protective effects of BMSA1 and BMSA5-1-1 proteins against Babesia microti infection.Parasites, hosts and diseases · 2024Article
- Transfusion-transmittedJournal of clinical microbiology · 2023Review
- Article
- Specific and Sensitive Diagnosis of Babesia microti Active Infection Using Monoclonal Antibodies to the Immunodominant Antigen BmGPI12.Journal of clinical microbiology · 2022Article
- Major Surface Antigens in ZoonoticPathogens (Basel, Switzerland) · 2022Review
- Cytochrome b Drug Resistance Mutation Decreases Babesia Fitness in the Tick Stages But Not the Mammalian Erythrocytic Cycle.The Journal of infectious diseases · 2022Article
- Epitope profiling of monoclonal antibodies to the immunodominant antigen BmGPI12 of the human pathogenFrontiers in cellular and infection microbiology · 2022Article
- Technologies for Detection ofPathogens (Basel, Switzerland) · 2021Review
- Pathogenesis of Borrelia burgdorferi and Babesia microti in TLR4-Competent and TLR4-dysfunctional C3H mice.Cellular microbiology · 2021Article
- Persistence ofPathogens (Basel, Switzerland) · 2019Review
- Evidence for vesicle-mediated antigen export by the human pathogenLife science alliance · 2019Article
- Surface Antigen 1 Is a Crucial Secreted Protein That MediatesFrontiers in microbiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Human babesiosis is an emerging zoonotic infectious disease caused by intraerythrocytic protozoan parasites of the genus
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.