Evidence map›Paper›PMID 21704272›Full record

ArticleThe Journal of molecular diagnostics : JMD2011

Rapid, sensitive, and specific detection of Mycobacterium tuberculosis complex by real-time PCR on paraffin-embedded human tissues.

Hye Seung Lee, Kyoung Un Park, Jung Ok Park, Ho Eun Chang, Junghan Song, Gheeyoung Choe

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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.

Hye Seung LeeDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Kyoung Un Park
Jung Ok Park
Ho Eun Chang
Junghan Song
Gheeyoung Choe
Seoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of Mycobacterium tuberculosis complex (MTB) in clinical specimens is important for diagnosing and caring for patients in whom tuberculosis is clinically suspected. We collected 129 FFPE specimens, including 56 nontuberculosis cases, 63 MTB cases, and 10 nontuberculous mycobacteria (NTM) cases determined by acid-fast bacilli (AFB) culture. We performed AFB staining; nested MTB PCR, targeting the IS6110 gene; and real-time MTB PCR, targeting the senX3-regX3 intergenic region in the 129 FFPE specimens. The sensitivity and specificity of AFB staining were 37.0% and 98.2%, respectively, using AFB culture results as the reference standard. The sensitivity and specificity of detecting MTB were 68.3% and 98.5%, respectively, by nested PCR; and 74.6% and 98.5% by real-time PCR, respectively. Among the 129 specimens, four were positive by AFB staining but negative by nested or real-time PCR. NTM grew in all four of these cases by AFB culture. AFB density in FFPE tissue sections significantly correlated with MTB DNA load. Thus, real-time PCR is a useful diagnostic tool for rapid and sensitive MTB detection in FFPE specimens, whereas NTM should be included in differential diagnoses of cases positive by AFB staining but negative by PCR.

Indexed as

HumansMolecular Diagnostic TechniquesMycobacterium tuberculosisParaffin EmbeddingPolymerase Chain ReactionSensitivity and SpecificityTuberculosis, Pulmonary

Identifiers

PMID21704272
PMCPMC3123799
OpenAlexW2072910809

What OpenQuestion holds

Textmetadata
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.