Evidence map›Paper›PMID 27769182›Full record

ArticleBMC infectious diseases2016

Validation of genotype cluster investigations for Mycobacterium tuberculosis: application results for 44 clusters from four heterogeneous United States jurisdictions.

Larry D Teeter, Padmaja Vempaty, Duc T M Nguyen, Jane Tapia, Sharon Sharnprapai, Smita Ghosh, J Steven Kammerer, Roque Miramontes, Wendy A Cronin, Edward A Graviss and 1 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Genetic diversity and antibiotic resistance ofFrontiers in cellular and infection microbiology · 2025
    Article
  3. Article
  4. Drivers of Tuberculosis Transmission.The Journal of infectious diseases · 2017
    Review
  5. 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

11 authors.

Larry D TeeterHouston Methodist Research Institute, Houston, TX, USA.
Padmaja VempatyCenters for Disease Control and Prevention, Atlanta, GA, USA.
Duc T M NguyenHouston Methodist Research Institute, Houston, TX, USA.
Jane TapiaEmory School of Medicine, Atlanta, GA, USA.
Sharon SharnprapaiMassachusetts Department of Public Health, Jamaica Plain, MA, USA.
Smita GhoshCenters for Disease Control and Prevention, Atlanta, GA, USA.
J Steven KammererCenters for Disease Control and Prevention, Atlanta, GA, USA.
Roque MiramontesCenters for Disease Control and Prevention, Atlanta, GA, USA.
Wendy A CroninMaryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
Edward A GravissHouston Methodist Research Institute, Houston, TX, USA. eagraviss@houstonmethodist.org.
Tuberculosis Epidemiologic Studies Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTracking the dissemination of specific Mycobacterium tuberculosis (Mtb) strains using genotyped Mtb isolates from tuberculosis patients is a routine public health practice in the United States. The present study proposes a standardized cluster investigation method to identify epidemiologic-linked patients in Mtb genotype clusters. The study also attempts to determine the proportion of epidemiologic-linked patients the proposed method would identify beyond the outcome of the conventional contact investigation.

methodsThe study population included Mtb culture positive patients from Georgia, Maryland, Massachusetts and Houston, Texas. Mtb isolates were genotyped by CDC's National TB Genotyping Service (NTGS) from January 2006 to October 2010. Mtb cluster investigations (CLIs) were conducted for patients whose isolates matched exactly by spoligotyping and 12-locus MIRU-VNTR. CLIs were carried out in four sequential steps: (1) Public Health Worker (PHW) Interview, (2) Contact Investigation (CI) Evaluation, (3) Public Health Records Review, and (4) CLI TB Patient Interviews. Comparison between patients whose links were identified through the study's CLI interviews (Step 4) and patients whose links were identified earlier in CLI (Steps 1-3) was conducted using logistic regression.

resultsForty-four clusters were randomly selected from the four study sites (401 patients in total). Epidemiologic links were identified for 189/401 (47 %) study patients in a total of 201 linked patient-pairs. The numbers of linked patients identified in each CLI steps were: Step 1 - 105/401 (26.2 %), Step 2 - 15/388 (3.9 %), Step 3 - 41/281 (14.6 %), and Step 4 - 28/119 (30 %). Among the 189 linked patients, 28 (14.8 %) were not identified in previous CI. No epidemiologic links were identified in 13/44 (30 %) clusters.

conclusionsWe validated a standardized and practical method to systematically identify epidemiologic links among patients in Mtb genotype clusters, which can be integrated into the TB control and prevention programs in public health settings. The CLI interview identified additional epidemiologic links that were not identified in previous CI. One-third of the clusters showed no epidemiologic links despite being extensively investigated, suggesting that some improvement in the interviewing methods is still needed.

Indexed as

Centers for Disease Control and Prevention, U.S.GenotypeGeorgiaHumansLogistic ModelsMarylandMassachusettsMinisatellite RepeatsMycobacterium tuberculosisTexasTuberculosisUnited StatesCluster investigationContact investigationEpidemiologyGenotypeMIRU-VNTRSpoligotypeSurveillanceTuberculosis

Identifiers

PMID27769182
PMCPMC5075185

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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.