Evidence map›Paper›PMID 12149389›Full record

ArticleJournal of clinical microbiology2002

Performance of an IS6110-based PCR assay and the COBAS AMPLICOR MTB PCR system for detection of Mycobacterium tuberculosis complex DNA in human lymph node samples.

Dagmar Rimek, Sachin Tyagi, Reinhard Kappe

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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, 45 citations in OpenAlex.

  1. Review
  2. Multi-drug resistant gene mutation analysis inIranian journal of microbiology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Audit and improve! Evaluation of a real-time probe-based PCR assay with internal control for the direct detection of Mycobacterium tuberculosis complex.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2011
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Advances in Molecular Diagnosis of Tuberculosis.Medical journal, Armed Forces India · 2003
    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

3 authors at 2 institutions in 2 countries.

Dagmar RimekDepartment of Medical Microbiology and Hospital Hygiene, University Hospital, D-18057 Rostock, Germany. dagmar.rimek@med.uni-rostock.de
Sachin Tyagi
Reinhard Kappe
Institute of Medical Microbiology and Hygiene · DESubharti Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the performance of two PCR assays, an IS6110-based in-house protocol and the COBAS AMPLICOR MTB PCR (COBAS MTB) system, for the detection of Mycobacterium tuberculosis complex in 43 human lymph node samples from 40 patients. For the in-house PCR and the COBAS MTB assays, respectively, sensitivities were 87.5% versus 45.5% (P < 0.05), specificities were 100.0% versus 91.3% (P > 0.05), and inhibition rates were 4.8% versus 19.5% (P < 0.05). For the COBAS MTB system, additional N-acetyl-L-cysteine-NaOH pretreatment of the samples changed neither the inhibition rate nor the sensitivity significantly.

Indexed as

AdultAgedAged, 80 and overChildDNA Transposable ElementsFemaleHumansLymph NodesMaleMiddle AgedMycobacterium tuberculosisNucleic Acid HybridizationPolymerase Chain ReactionSensitivity and SpecificityTuberculosis, Lymph NodeDNA Transposable Elements

Identifiers

PMID12149389
PMCPMC120681
OpenAlexW2115544541

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.