ArticleInfection and drug resistance2016
Lyme disease: the promise of Big Data, companion diagnostics and precision medicine.
Article in Infection and drug resistance, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 12 citations in OpenAlex.
- Companion Diagnostics in Clinical Therapy: Current Applications and Future Directions.MedComm · 2026Review
- Human Babesia odocoilei and Bartonella spp. co-infections in the Americas.Parasites & vectors · 2024Article
- Clinical evaluation of Morgellons disease in a cohort of North American patients.Dermatology reports · 2018Article
- The Financial Implications of a Well-Hidden and Ignored Chronic Lyme Disease Pandemic.Healthcare (Basel, Switzerland) · 2018Article
- Better drugs for Lyme disease: focus on the spirochete.Infection and drug resistance · 2018Article
- When a patient suspected with juvenile idiopathic arthritis turns out to be diagnosed with an infectious disease - a review of Lyme arthritis in children.Pediatric rheumatology online journal · 2017Review
- Spirochetal Lipoproteins and Immune Evasion.Frontiers in immunology · 2017Review
- Commercial test kits for detection of Lyme borreliosis: a meta-analysis of test accuracy.International journal of general medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lyme disease caused by the spirochete Borrelia burgdorferi has become a major worldwide epidemic. Recent studies based on Big Data registries show that >300,000 people are diagnosed with Lyme disease each year in the USA, and up to two-thirds of individuals infected with B. burgdorferi will fail conventional 30-year-old antibiotic therapy for Lyme disease. In addition, animal and human evidence suggests that sexual transmission of the Lyme spirochete may occur. Improved companion diagnostic tests for Lyme disease need to be implemented, and novel treatment approaches are urgently needed to combat the epidemic. In particular, therapies based on the principles of precision medicine could be modeled on successful "designer drug" treatment for HIV/AIDS and hepatitis C virus infection featuring targeted protease inhibitors. The use of Big Data registries, companion diagnostics and precision medicine will revolutionize the diagnosis and treatment of Lyme disease.
Indexed as
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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.