Evidence map›Paper›PMID 24260739›Full record

ArticleBioMed research international2013

Evaluation of hsp65 nested PCR-restriction analysis (PRA) for diagnosing tuberculosis in a high burden country.

Sara Macente, Clarice Queico Fujimura Leite, Adolfo Carlos Barreto Santos, Vera Lúcia Dias Siqueira, Luzia Neri Cosmo Machado, Nadir Rodrigues Marcondes, Mario Hiroyuki Hirata, Rosário Dominguez Crespo Hirata, Rosilene Fressatti Cardoso

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Veterinary world · 2020
    Review
  2. 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

9 authors at 3 institutions in 1 country.

Sara MacentePost Graduation Program in Biosciences Applied to Pharmacy, Department of Clinical Analyses and Biomedicine, State University of Maringa, 87020-900 Maringá, PR, Brazil.
Clarice Queico Fujimura Leite
Adolfo Carlos Barreto Santos
Vera Lúcia Dias Siqueira
Luzia Neri Cosmo Machado
Nadir Rodrigues Marcondes
Mario Hiroyuki Hirata
Rosário Dominguez Crespo Hirata
Rosilene Fressatti Cardoso
Universidade Estadual de Maringá · BRUniversidade de São Paulo · BRUniversidade Estadual do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current study evaluated the hsp65 Nested PCR Restriction Fragment Length Polymorphism Analysis (hsp65 Nested PCR-PRA) to detect and identify Mycobacterium tuberculosis complex directly in clinical samples for a rapid and specific diagnosis of tuberculosis (TB). hsp65 Nested PCR-PRA was applied directly to 218 clinical samples obtained from 127 patients suspected of TB or another mycobacterial infection from July 2009 to July 2010. The hsp65 Nested PCR-PRA showed 100% sensitivity and 95.0 and 93.1% specificity in comparison with culture and microscopy (acid fast bacillus smear), respectively. hsp65 Nested PCR-PRA was shown to be a fast and reliable assay for diagnosing TB, which may contribute towards a fast diagnosis that could help the selection of appropriate chemotherapeutic and early epidemiological management of the cases which are of paramount importance in a high TB burden country.

Indexed as

AdultBacterial ProteinsChaperonin 60Cost of IllnessFemaleHumansMaleMycobacterium tuberculosisPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthTuberculosisBacterial ProteinsChaperonin 60heat-shock protein 65, Mycobacterium

Identifiers

PMID24260739
PMCPMC3821893
OpenAlexW1978094526

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.