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Chronic Lyme disease: the controversies and the science.
Abstract
The diagnosis of chronic Lyme disease has been embroiled in controversy for many years.
This is exacerbated by the lack of a clinical or microbiologic definition, and the
commonality of chronic symptoms in the general population. An accumulating body of
evidence suggests that Lyme disease is the appropriate diagnosis for only a minority
of patients in whom it is suspected. In prospective studies of Lyme disease, very
few patients go on to have a chronic syndrome dominated by subjective complaints.
There is no systematic evidence that Borrelia burgdorferi, the etiology of Lyme disease,
can be identified in patients with chronic symptoms following treated Lyme disease.
Multiple prospective trials have revealed that prolonged courses of antibiotics neither
prevent nor alleviate such post-Lyme syndromes. Extended courses of intravenous antibiotics
have resulted in severe adverse events, which in light of their lack of efficacy,
make them contraindicated.
Type
Journal articleSubject
AminesAnalgesics
Anti-Bacterial Agents
Arthritis, Rheumatoid
Borrelia burgdorferi
Chronic Disease
Cyclohexanecarboxylic Acids
Diagnosis, Differential
Humans
Lyme Disease
Neurodegenerative Diseases
Pain
Pain Management
Practice Guidelines as Topic
Prospective Studies
Randomized Controlled Trials as Topic
Risk Factors
Syndrome
gamma-Aminobutyric Acid
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https://hdl.handle.net/10161/13969Published Version (Please cite this version)
10.1586/eri.11.63Publication Info
Lantos, Paul M (2011). Chronic Lyme disease: the controversies and the science. Expert Rev Anti Infect Ther, 9(7). pp. 787-797. 10.1586/eri.11.63. Retrieved from https://hdl.handle.net/10161/13969.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Paul Michael Lantos
Professor of Medicine
I am interested in the spatial epidemiology of infectious diseases. My research utilizes
geographic information systems (GIS) and geostatistical analyses to understand the
spatial and spatiotemporal distribution of diseases, and their relationship with environmental
and demographic factors. I currently have active studies evaluating the spatial distribution
of numerous domestic and international infectious diseases, including SARS-CoV-2 (COVID-19),
cytomegalovirus, influenza, and Lyme disease. A

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