Evidence map›Paper›PMID 11427590›Full record

ArticleJournal of clinical microbiology2001

Sensitive detection of Borrelia burgdorferi sensu lato DNA and differentiation of Borrelia species by LightCycler PCR.

S Mommert, R Gutzmer, A Kapp, T Werfel

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. [Molecular biology-based methods for pathogen detection in endophthalmitis].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2007
    Review
  3. Diagnosis of lyme borreliosis.Clinical microbiology reviews · 2005
    Review
  4. Article
  5. [Diagnostic vitrectomy in uveitis: possibilities of molecular biology].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2003
    Review
  6. Article
  7. Article
  8. Article
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

4 authors at 1 institution in 1 country.

S MommertDepartment of Dermatology and Allergology, Hannover Medical University, Hannover, Germany.
R Gutzmer
A Kapp
T Werfel
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to differentiate species within the Borrelia burgdorferi sensu lato complex, LightCyler PCR and melting-curve analysis of the amplicons of two genes with intraspecies variability, the p66 gene and the recA gene, were performed. It was demonstrated that nested LightCycler PCR amplification of p66 is more sensitive in the detection of borrelia DNA than amplification of the recA gene. B. burgdorferi sensu stricto could be differentiated from Borrelia garinii and Borrelia afzelii by melting-curve analysis of the p66 gene amplicon. B. garinii could be differentiated from B. afzelii and B. burgdorferi sensu stricto by melting-curve analysis of the recA gene amplicon. Therefore, the PCRs complement each other in subtyping different Borrelia species, and combined LightCycler PCR and melting-curve analysis of both target genes is a rapid method to distinguish the three species of B. burgdorferi sensu lato.

Indexed as

Bacterial ProteinsBase SequenceBorreliaBorrelia burgdorferi GroupBorrelia InfectionsDNA, BacterialHot TemperatureHumansLyme DiseaseMolecular Sequence DataPolymerase Chain ReactionPorinsRec A RecombinasesBacterial ProteinsDNA, BacterialOms66 protein, BorreliaPorinsRec A Recombinases

Identifiers

PMID11427590
PMCPMC88206
OpenAlexW2145109597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.