Evidence map›Paper›PMID 24371256›Full record

ArticleClinical and vaccine immunology : CVI2014

Time to detection of Mycobacterium tuberculosis using the MGIT 320 system correlates with colony counting in preclinical testing of new vaccines.

K Kolibab, A Yang, M Parra, S C Derrick, S L Morris

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Development of Human Cell-BasedFrontiers in cellular and infection microbiology · 2022
    Article
  3. TheF1000Research · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

5 authors.

K KolibabCenter for Biologics Evaluation and Research, U.S. Food and Drug Administration, Bethesda, Maryland, USA.
A Yang
M Parra
S C Derrick
S L Morris

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical studies have suggested that the enumeration of mycobacteria by using automated liquid systems is a faster and simpler alternative to quantitative cultures. Here, we show that the time to detection of M. tuberculosis growth as measured with the MGIT 320 liquid culture system inversely correlates with CFU determinations from culture on solid media and that mycobacterial quantification using the MGIT system is faster and easier to perform than CFU plating.

Indexed as

AnimalsAutomation, LaboratoryBacteriological TechniquesColony Count, MicrobialHumansMiceMycobacterium tuberculosisTime FactorsTuberculosis

Identifiers

PMID24371256
PMCPMC3957671

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.