Evidence map›Paper›PMID 26865690›Full record

ReviewJournal of clinical microbiology2016

The Past, Present, and (Possible) Future of Serologic Testing for Lyme Disease.

Elitza S Theel

Registry-linked trialAbstract readHistorical ArticleReview
In one paragraph

Review in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03505879 (Next Generation Sequencing to Detect Borrelia Burgdorferi DNA in the Blood of Pediatric Patients With Lyme Disease), which is not on this map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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.

NCT03505879 completednot on this mapstarted 2018, after this paper: background citation

Next Generation Sequencing to Detect Borrelia Burgdorferi DNA in the Blood of Pediatric Patients With Lyme Disease

TypeobservationalSponsorStony Brook UniversityRan2018 to 2020Enrolled15ConditionsLyme Disease, Pediatric Infectious Disease, Erythema Migrans, Lyme Arthritis
3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Identification of amino acid domains ofFrontiers in cellular and infection microbiology · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Pathogens (Basel, Switzerland) · 2021
    Article
  17. Quantitative multiplexed strategies for human Lyme disease serological testing.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  18. Laboratory Diagnosis of Lyme Borreliosis.Clinical microbiology reviews · 2021
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

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

1 author.

Elitza S TheelDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA theel.elitza@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease prevails as the most commonly transmitted tick-borne infection in the United States, and serologic evaluation for antibodies to Borrelia burgdorferi remains the recommended modality for diagnosis. This review presents a brief historical perspective on the evolution of serologic assays for Lyme disease and provides a summary of the performance characteristics for the currently recommended two-tiered testing algorithm (TTTA). Additionally, a recently proposed alternative to the traditional TTTA is discussed, and novel methodologies, including immuno-PCR and metabolic profiling for Lyme disease, are outlined.

Indexed as

AlgorithmsAntibodies, BacterialBorrelia burgdorferiHistory, 20th CenturyHistory, 21st CenturyHumansLyme DiseaseMetabolomicsPolymerase Chain ReactionSerologic TestsUnited StatesAntibodies, Bacterial

Identifiers

PMID26865690
PMCPMC4844714

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.