Evidence map›Paper›PMID 20953280›Full record

ArticleProceedings. IEEE International Conference on Bioinformatics and Biomedicine2009

Determination of Major Lineages of Mycobacterium tuberculosis Complex using Mycobacterial Interspersed Repetitive Units.

Minoo Aminian, Amina Shabbeer, Kristin P Bennett

Abstract read
In one paragraph

Article in Proceedings. IEEE International Conference on Bioinformatics and Biomedicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Minoo AminianDepartments of Mathematical Science and Computer Science, Rensselaer Polytechnic Institute.
Amina Shabbeer
Kristin P Bennett

Funding

Discovering hidden groups across tuberculosis patient and pathogen genotype dataR01LM009731 · NLM · RENSSELAER POLYTECHNIC INSTITUTE · PI BENNETT, KRISTIN P, YENER, BULENT · 2008 to 2011
$1.7M
NLM NIH HHS R01 LM009731
6 · The paper itself

Abstract

We present a novel Bayesian network (BN) to classify strains of Mycobacterium tuberculosis Complex (MTBC) into six major genetic lineages using mycobacterial interspersed repetitive units (MIRUs), a high-throughput biomarker. MTBC is the causative agent of tuberculosis (TB), which remains one of the leading causes of disease and morbidity world-wide. DNA fingerprinting methods such as MIRU are key components of modern TB control and tracking. The BN achieves high accuracy on four large MTBC genotype collections consisting of over 4700 distinct 12-loci MIRU genotypes. The BN captures distinct MIRU signatures associated with each lineage, explaining the excellent performance of the BN. The errors in the BN support the need for additional biomarkers such as the expanded 24-loci MIRU used in CDC genotyping labs since May 2009. The conditional independence assumption of each locus given the lineage makes the BN easily extensible to additional MIRU loci and other biomarkers.

Identifiers

PMID20953280
PMCPMC2954607

What OpenQuestion holds

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Registered trials

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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.