Evidence map›Paper›PMID 29609530›Full record

ArticleBMC infectious diseases2018

High frequency of M. leprae DNA detection in asymptomatic household contacts.

Rafael Silva Gama, Thalisson Artur Ribeiro Gomides, Chaiana Fróes Magalhães Gama, Suelen Justo Maria Moreira, Fernanda Saloum de Neves Manta, Lorena Bruna P de Oliveira, Pedro Henrique Ferreira Marçal, Euzenir Nunes Sarno, Milton Ozório Moraes, Raúl Marcel González Garcia and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Molecular Detection ofTropical medicine and infectious disease · 2025
    Review
  6. Article
  7. Leprosy.Nature reviews. Disease primers · 2024
    Review
  8. Article
  9. Article
  10. qPCR detection ofFrontiers in molecular biosciences · 2024
    Article
  11. Molecular epidemiological characteristics ofFrontiers in public health · 2024
    Article
  12. Interplay among differential exposure toFrontiers in immunology · 2023
    Article
  13. Article
  14. Article
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  18. Review
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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

11 authors at 3 institutions in 1 country.

Rafael Silva GamaUniversidade Vale do Rio Doce/UNIVALE-Núcleo de Pesquisa em Imunologia, Rua Israel Pinheiro2000, B. Universitário, Governador Valadares, MG, Brazil.
Thalisson Artur Ribeiro GomidesUniversidade Vale do Rio Doce/UNIVALE-Núcleo de Pesquisa em Imunologia, Rua Israel Pinheiro2000, B. Universitário, Governador Valadares, MG, Brazil.
Chaiana Fróes Magalhães GamaUniversidade Vale do Rio Doce/UNIVALE-Núcleo de Pesquisa em Imunologia, Rua Israel Pinheiro2000, B. Universitário, Governador Valadares, MG, Brazil.
Suelen Justo Maria MoreiraFIOCRUZ-Fundação Oswaldo Cruz, Laboratório de Hanseníase, Av. Brasil, Rio de Janeiro, RJ, Brazil.
Fernanda Saloum de Neves MantaFIOCRUZ-Fundação Oswaldo Cruz, Laboratório de Hanseníase, Av. Brasil, Rio de Janeiro, RJ, Brazil.
Lorena Bruna P de OliveiraUniversidade Vale do Rio Doce/UNIVALE-Núcleo de Pesquisa em Imunologia, Rua Israel Pinheiro2000, B. Universitário, Governador Valadares, MG, Brazil.
Pedro Henrique Ferreira MarçalUniversidade Vale do Rio Doce/UNIVALE-Núcleo de Pesquisa em Imunologia, Rua Israel Pinheiro2000, B. Universitário, Governador Valadares, MG, Brazil.
Euzenir Nunes SarnoFIOCRUZ-Fundação Oswaldo Cruz, Laboratório de Hanseníase, Av. Brasil, Rio de Janeiro, RJ, Brazil.
Milton Ozório MoraesFIOCRUZ-Fundação Oswaldo Cruz, Laboratório de Hanseníase, Av. Brasil, Rio de Janeiro, RJ, Brazil.
Raúl Marcel González GarciaUniversidade Federal de Juiz de Fora. Programa de Pós Graduação em Ciências Biológicas (Imunologia e DIP/Genética e Biotecnologia)-Rua José Lourenço Kelmer, S/n-Martelos, Juiz de Fora-MG, Brazil.
Lucia Alves de Oliveira FragaUniversidade Federal de Juiz de Fora-Campus Governador Valadares-UFJF/GV, Rua Israel Pinheiro, 2000, B. Universitário, Governador Valadares, MG, Brazil. luciaalvesfraga@yahoo.com.br.
Fundação Oswaldo Cruz · BRUniversidade Vale do Rio Doce · BRUniversidade Federal de Juiz de Fora · BR

Funding

Conselho de Desenvolvimento Tecnológico e Científico/CNPq/BRAZIL, DECIT 2008, DECIT 2012 , FAPEMIG, TC 304/2013/FNS/MS TC 304/2013/FNS/MS
6 · The paper itself

Abstract

backgroundCharacterization of the Mycobacterium leprae genome has made possible the development of Polymerase Chain Reaction (PCR) systems that can amplify different genomic regions. Increased reliability and technical efficiency of quantitative PCR (qPCR) makes it a promising tool for early diagnosis of leprosy. Index cases that are multibacillary spread the bacillus silently, even before they are clinically diagnosed. Early detection and treatment could prevent transmission in endemic areas.

methodsIn this study, the qPCR technique is used to detect DNA of M. leprae in samples of slit skin smears (SSS) of the ear lobe and blood of leprosy patients and their asymptomatic household contacts residing in Governador Valadares, MG, Brazil, a hyperendemic area for leprosy. A total of 164 subjects participated in the study: 43 index cases, 113 household contacts, and, as negative controls, 8 individuals who reported no contact with patients nor history of leprosy in the family. The qPCR was performed to amplify 16S rRNA fragments and was specifically designed for M. leprae.

resultsOf asymptomatic household contacts, 23.89% showed bacillary DNA by qPCR in samples of SSS and blood. Also, 48.84% of patients diagnosed with leprosy were positive for qPCR while the bacillary load was positive in only 30.23% of patients. It is important to note that most patients were already receiving treatment when the collection of biological material for qPCR was performed. The level of bacillary DNA from household contacts was similar to the DNA levels detected in the group of paucibacillary patients.

conclusionConsidering that household contacts comprise a recognizable group of individuals with a high risk of disease, as they live in close proximity to a source of infection, qPCR can be used to estimate the risk of progress towards leprosy among household contacts and as a routine screening method for a chemoprophylactic protocol.

Indexed as

Family CharacteristicsAdultAsymptomatic InfectionsBrazilContact TracingDNA, BacterialFemaleHumansLeprosyMaleMycobacterium lepraePrevalenceReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SHousehold contactsLeprosyqPCR

Identifiers

PMID29609530
PMCPMC5879567
OpenAlexW2806968612

What OpenQuestion holds

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LicenceCC BY
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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.