Evidence map›Paper›PMID 27039183›Full record

ArticleBMC infectious diseases2016

Diagnosis of mycobacterial infections based on acid-fast bacilli test and bacterial growth time and implications on treatment and disease outcome.

Fabiane N Riello, Rebecca T S Brígido, Sergio Araújo, Tomaz A Moreira, Luiz Ricardo Goulart, Isabela M B Goulart

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
  2. Article
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  5. Clinical Characteristics and Antimicrobial Susceptibility ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  6. Review
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  12. JFMS open reports
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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

6 authors at 1 institution in 1 country.

Fabiane N RielloNational Reference Center for Sanitary Dermatology and Leprosy (CREDESH) Clinical Hospital Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Rebecca T S BrígidoNational Reference Center for Sanitary Dermatology and Leprosy (CREDESH) Clinical Hospital Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Sergio AraújoNational Reference Center for Sanitary Dermatology and Leprosy (CREDESH) Clinical Hospital Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Tomaz A MoreiraLaboratory of Clinical Analysis, Clinics' Hospital of the Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Luiz Ricardo GoulartFederal University of Uberlandia, Institute of Genetics and Biochemistry, Laboratory of Nanobiotechnology, Campus Umuarama, Block 2E, Room 248, CEP 38400-902, Uberlandia, Minas Gerais, Brazil. lrgoulart@ufu.br.
Isabela M B GoulartNational Reference Center for Sanitary Dermatology and Leprosy (CREDESH) Clinical Hospital Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Universidade Federal de Uberlândia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe establishment of therapeutic regimens for mycobacteriosis depends on the accurate identification of Mycobacterium species, and misdiagnosis can result in inappropriate treatment and increased mortality of patients. Differential diagnosis among Mycobacterium species has been made by conventional phenotypic and biochemical tests after a long culture period. Specialized molecular diagnostics of mycobacteria allows rapid detection and species identification; however, such tests are not available in public health programs. Our aim was to demonstrate the clinical implications of erroneous diagnosis by performing molecular genotyping of mycobacterial infections in patients that were diagnosed based on symptoms, culture and bacilloscopy.

methodsCulture samples of mycobacterial infections from 55 patients clinically diagnosed as tuberculosis in 2013 and 2014, based on conventional methods, were identified by PCR -RFLP and results are discussed.

resultsWe have confirmed 35 (63.6%) positive samples as M. tuberculosis, but 18 (32.7%) were identified as non-tuberculous mycobacteria (M. avium type 1, M. avium type 2, M. kansasii type 1 type 1, M. mucogenicum, M. chelonae, M. terrae type 3, and 1 unknown RFLP pattern) and two were negative. Regarding clinical diagnosis, 61.8% (34/55) was classified as pulmonary tuberculosis. It is important to emphasize that 36.4% (20/55) of samples were misdiagnosed by conventional methods, and 11 (61.1%) of the HIV positive patients (18/55) were NTM-coinfected.

conclusionThe identification of species in mycobacterial infections is essential for correct diagnosis and choice of treatment regimen, and misdiagnosis by conventional tools can lead to chronic disease, increased resistance and death.

Indexed as

AdultAgedAged, 80 and overDNA, BacterialFemaleGenotypeHIV InfectionsHumansMaleMiddle AgedMycobacteriumMycobacterium InfectionsPolymerase Chain ReactionTuberculosisYoung AdultDNA, BacterialMolecular DiagnosisMycobacteriaPCR-RFLP

Identifiers

PMID27039183
PMCPMC4818481
OpenAlexW2330273275

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.