Evidence map›Paper›PMID 21899772›Full record

ArticleBMC research notes2011

PCR could be a method of choice for identification of both pulmonary and extra-pulmonary tuberculosis.

Iram Amin, Muhammad Idrees, Zunaira Awan, Muhammad Shahid, Samia Afzal, Abrar Hussain

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Natural outbreak ofJournal of toxicologic pathology · 2024
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  12. PCR as a diagnostic tool for extra-pulmonary tuberculosis.Journal of clinical and diagnostic research : JCDR · 2013
    Article
  13. Article
  14. Microbiological diagnosis of spinal tuberculosis.International orthopaedics · 2012
    Review
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 2 institutions in 1 country.

Iram AminDivision of Molecular Virology & Molecular Diagnostics, National Centre of Excellence in Molecular Biology, University of the Punjab, Lahore-53500, Pakistan. idreeskhan96@yahoo.com.
Muhammad Idrees
Zunaira Awan
Muhammad Shahid
Samia Afzal
Abrar Hussain
University of the Punjab · PKCentre of Excellence in Molecular Biology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNucleic acid amplification assays including PCR have revolutionized the detection of Mycobacterium tuberculosis (MTB). Tuberculosis spread to almost every organ of the body and is characterized on the basis of localization of infection. Therefore, different types of body fluids and tissues can be used for the detection of MTB.From 2004 to 2010 total 766 different types of smear negative samples from patients, clinically suspected for tuberculosis were received and investigated at Division of Molecular Diagnostics, University of the Punjab Lahore for the diagnosis of tuberculosis. Mycobacterial DNA was extracted followed by PCR amplification.

findingsA total of 356 (46.5%) samples were found positive by PCR for MTB. These included; serum (4.8%), blood (36.3%), urine (46.6%), cerebro spinal fluid (CSF) (42.1%), ascetic fluid (67.6%), pleural fluid (52%), pericardial fluid (30%), pus (38.6%), bone marrow (60%), sputum (38.8%) and bronchoalveolar lavage (BAL) (70%). Over all there was no significant difference in males and females neither in different age groups for the identification of MTB.

conclusionWe conclude that PCR is a useful and sensitive tool for the early diagnosis of MTB in variety of clinical samples.

Identifiers

PMID21899772
PMCPMC3224489
OpenAlexW1981795767

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.