Evidence map›Paper›PMID 27891336›Full record

ArticleJournal of clinical and diagnostic research : JCDR2016

Parviz Mohajeri, Sakineh Moradi, Sara Atashi, Abbas Farahani

Abstract read
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Article in Journal of clinical and diagnostic research : JCDR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Non-Mycobacteria Tuberculosis in Africa: A Literature Review.Ethiopian journal of health sciences · 2023
    Review
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  12. Multi-drug resistantAfrican journal of laboratory medicine · 2018
    Article
  13. 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

4 authors.

Parviz MohajeriAssociate Professor of Medical Bacteriology, Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences , Kermanshah, Iran .
Sakineh MoradiResearch Assistant of Medical Bacteriology, Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences , Kermanshah, Iran .
Sara AtashiResearch Assistant of Medical Bacteriology, West Tuberculosis Center, Kermanshah University of Medical Sciences , Kermanshah, Iran .
Abbas FarahaniPh.D student of Medical Bacteriology, Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences , Ahvaz, IR Iran. Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IR Iran .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction

aimTo identify and determine the frequency of Beijing genotype and mix infection with Beijing and non-Beijing in west of Iran and analyse the association between Beijing genotype and drug resistance. MATERIALS AND

methodsThis cross-sectional study was conducted on 146 Tuberculosis (TB) samples collected at the TB reference laboratory in Kermanshah west of Iran from January 2014 to February 2015,

resultA total of 15/146 (10%) isolates were diagnosed as Beijing genotypes and the remaining 131/146(90%) isolates were non-Beijing genotypes by Multiplex PCR method. Among the 15 Beijing cases, 14 samples have shown mix infection indicating the presence of both Beijing and non-Beijing strains in samples. Three isolates from all cases were drug resistant. Interestingly all drug resistance isolates were from Beijing genotype which shows strong association between drug resistance and Beijing genotype. Also this genotype was more prevalent in younger age-group people (p=0.035).

conclusionFrequency of Beijing genotype in west of Iran is more than other sites of Iran but less than Asia. According to our result, mix infections with Beijing and non-Beijing, had the most prevalence therefore we should be concerned more about mix infections. Multiplex-PCR method is feasible, trustworthy and can distinguish mix infections. It is suggested to perform spoligotyping in addition to multiplex PCR method to discriminate mix infections.

Indexed as

GeneXpertMultidrug resistanceSpoligotyping

Identifiers

PMID27891336
PMCPMC5121674

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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.