Evidence map›Paper›PMID 29412356›Full record

ArticleMemorias do Instituto Oswaldo Cruz2018

Sensitivity of diagnostic methods for Mansonella ozzardi microfilariae detection in the Brazilian Amazon Region.

Jansen Fernandes Medeiros, Gilberto Fontes, Vilma Lopes do Nascimento, Moreno Rodrigues, Jacob Cohen, Edmar Vaz de Andrade, Felipe Arley Costa Pessoa, Marilaine Martins

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Molecular surveillance detects high prevalence of the neglected parasitemedRxiv : the preprint server for health sciences · 2023
    Article
  3. Review
  4. Article
  5. Detection ofTherapeutic advances in infectious disease
    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

8 authors at 5 institutions in 1 country.

Jansen Fernandes MedeirosFundação Oswaldo Cruz-Fiocruz, Laboratório de Entomologia, Porto Velho, RO, Brasil.
Gilberto FontesUniversidade Federal de São João Del-Rei, Divinópolis, MG, Brasil.
Vilma Lopes do NascimentoFundação de Medicina Tropical Dr Heitor Vieira Dourado, Gerência de Parasitologia, Manaus, AM, Brasil.
Moreno RodriguesUniversidade Federal de Rondônia, Laboratório de Bioecologia de Insetos, Porto Velho, RO, Brasil.
Jacob CohenUniversidade Federal do Amazonas, Departamento de Oftalmologia, Manaus, AM, Brasil.
Edmar Vaz de AndradeUniversidade Federal do Amazonas, Centro de Apoio Multidisciplinar, Manaus, AM, Brasil.
Felipe Arley Costa PessoaFundação Oswaldo Cruz-Fiocruz, Centro de Pesquisa Leônidas e Maria Deane, Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Manaus, AM, Brasil.
Marilaine MartinsFundação de Medicina Tropical Dr Heitor Vieira Dourado, Gerência de Parasitologia, Manaus, AM, Brasil.
Fundação de Medicina Tropical · BRFundação Oswaldo Cruz · BRUniversidade Federal do Amazonas · BRFederal University of São João del-Rei · BRUniversidade Federal de Rondônia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human filarial worm Mansonella ozzardi is highly endemic in the large tributaries of the Amazon River. This infection is still highly neglected and can be falsely negative when microfilariae levels are low.

objectivesThis study investigated the frequency of individuals with M. ozzardi in riverine communities in Coari municipality, Brazilian Amazon.

methodsDifferent diagnostic methods including polymerase chain reaction (PCR), blood polycarbonate membrane filtration (PCMF), Knott's method (Knott), digital thick blood smears (DTBS) and venous thick blood smears (VTBS) were used to compare sensitivity and specificity among the methods. Data were analysed using PCMF and Bayesian latent class models (BLCM) as the gold standard. We used BLCM to calculate the prevalence of mansonelliasis based on the results of five diagnostic methods.

findingsThe prevalence of mansonelliasis was 35.4% by PCMF and 30.1% by BLCM. PCR and Knott methods both possessed high sensitivity. Sensitivity relative to PCMF was 98.5% [95% confidence interval (CI): 92.0 - 99.7] for PCR and 83.5% (95% CI: 72.9 - 90.5) for Knott. Sensitivity derived by BLCM was 100% (95% CI 93.7 - 100) for PCMF, 100% (95% CI: 93.7 - 100) for PCR and 98.3% (95% CI: 90.6 - 99.9) for Knott. The odds ratio of being diagnosed as microfilaremic increased with age but did not differ between genders. Microfilariae loads were higher in subjects aged 30 - 45 and 45 - 60 years. MAIN

conclusionsPCMF and PCR were the best methods to assess the prevalence of mansonelliasis in our samples. As such, using these methods could lead to higher prevalence of mansonelliasis in this region than the most commonly used method (i.e., thick blood smears).

Indexed as

AdolescentAdultAgedAnimalsBayes TheoremBrazilChildFemaleFiltrationHumansMaleMansonellaMansonelliasisMiddle AgedPolycarboxylate CementPolymerase Chain ReactionpolycarbonatePolycarboxylate Cement

Identifiers

PMID29412356
PMCPMC5804309
OpenAlexW2789851864

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.