Evidence map›Paper›PMID 30064347›Full record

ArticlePathogens and global health2018

Simplified MLST scheme for direct typing of Leptospira human clinical samples.

Vanina Varni, Yosena Chiani, Ariel Nagel, Paula Ruybal, Norma Bibiana Vanasco, Karina Caimi

Abstract readEvaluation Study
In one paragraph

Article in Pathogens and global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

  1. Review
  2. Association between Exposure toMicroorganisms · 2024
    Article
  3. Detection and Identification of PathogenicTransboundary and emerging diseases · 2024
    Article
  4. Article
  5. Article
  6. 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

6 authors.

Vanina Varnia Biotechnology Institute , National Institute of Agropecuarian Technology (INTA) , Hurlingham , Buenos Aires , Argentina.
Yosena Chianib National Institute of Respiratory Diseases , Instituto Nacional de Enfermedades Respiratorias , Santa Fé , Argentina.
Ariel Nagela Biotechnology Institute , National Institute of Agropecuarian Technology (INTA) , Hurlingham , Buenos Aires , Argentina.
Paula Ruybalc Institute of Research in Microbiology and Medical Parasitology (IMPAM) , School of Medicine, University of Buenos Aires , Buenos Aires , Argentina.
Norma Bibiana Vanascob National Institute of Respiratory Diseases , Instituto Nacional de Enfermedades Respiratorias , Santa Fé , Argentina.
Karina Caimia Biotechnology Institute , National Institute of Agropecuarian Technology (INTA) , Hurlingham , Buenos Aires , Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospirosis is a globally distributed zoonosis. Epidemiological data are scarce and present major challenge because of the varied clinical presentations. Multilocus Sequence Typing has already proven to be a robust molecular typing method providing accurate results for strain characterization. We have adapted our MLST scheme by reducing the set of loci to facilitate Leptospira typing directly from human clinical samples. The application of this 3-locus scheme provides Leptospira species and allelic profiles of the samples retaining the power of discrimination of the whole scheme. Moreover, an approach to the serogroups was also achieved. Our results contribute to the epidemiological study of Leptospirosis, since the direct typing on clinical specimens could detect and update allelic variants and serogroups present in a region. The simplified scheme allowed at the same time to take advantage of limited genetic material available in clinical samples that may increase the sources of information for epidemiological monitoring.

Indexed as

HumansLeptospiraLeptospirosisMolecular EpidemiologyMultilocus Sequence TypingSensitivity and Specificityclinical samplesLeptospiraMLSTserogroup

Identifiers

PMID30064347
PMCPMC6147079

What OpenQuestion holds

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Registered trials

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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.