Evidence map›Paper›PMID 26051196›Full record

ArticleJournal of theoretical biology2015

Effectiveness of contact investigations for tuberculosis control in Arkansas.

Giorgio Guzzetta, Marco Ajelli, Zhenhua Yang, Leonard N Mukasa, Naveen Patil, Joseph H Bates, Denise E Kirschner, Stefano Merler

Abstract readValidation Study
In one paragraph

Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Giorgio GuzzettaFondazione Bruno Kessler, via Sommarive 18, 38123 Povo (TN), Italy; Trento RISE, via Sommarive 18, 38123 Povo (TN), Italy. Electronic address: guzzetta@fbk.eu.
Marco AjelliFondazione Bruno Kessler, via Sommarive 18, 38123 Povo (TN), Italy.
Zhenhua YangSchool of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI40109-2029, USA.
Leonard N MukasaArkansas Department of Health, Slot 8, 4815 West Markham Street, Little Rock, AR 72205, USA; University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, USA.
Naveen PatilArkansas Department of Health, Slot 8, 4815 West Markham Street, Little Rock, AR 72205, USA; University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, USA.
Joseph H BatesArkansas Department of Health, Slot 8, 4815 West Markham Street, Little Rock, AR 72205, USA; University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR 72205, USA.
Denise E KirschnerUniversity of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
Stefano MerlerFondazione Bruno Kessler, via Sommarive 18, 38123 Povo (TN), Italy.

Funding

Predicting immune responses that correlate with protection against tuberculosisR01HL110811 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2012 to 2016
$5.9M
Defining how the spectrum of latency affects reactivation of TBR01HL106804 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2010 to 2013
$2.6M
A multi-scale model to predict outcomes of immunomodulation and drug therapy duriR01EB012579 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLYNN, JOANNE L., KIRSCHNER, DENISE E · 2011 to 2014
$2.3M
NHLBI NIH HHS R01 HL106804NHLBI NIH HHS R01HL106804NHLBI NIH HHS R01 HL110811NHLBI NIH HHS R01HL110811NIBIB NIH HHS R01 EB012579NIBIB NIH HHS R01EB012579
6 · The paper itself

Abstract

Comprehensive assessment of the effectiveness of contact investigations for tuberculosis (TB) control is still lacking. In this study, we use a computational model, calibrated against notification data from Arkansas during the period 2001-2011, that reproduces independent data on key features of TB transmission and epidemiology. The model estimates that the Arkansas contact investigations program has avoided 18.6% (12.1-25.9%) of TB cases and 23.7% (16.4-30.6%) of TB deaths that would have occurred during 2001-2014 if passive diagnosis alone were implemented. If contacts of sputum smear-negative cases had not been included in the program, the percentage reduction would have been remarkably lower. In addition, we predict that achieving national targets for performance indicators of contact investigation programs has strong potential to further reduce TB transmission and burden. However, contact investigations are expected to have limited effectiveness on avoiding reactivation cases of latent infections over the next 60 years.

Indexed as

Contact TracingArkansasHumansModels, TheoreticalPrevalenceTuberculosisContact tracingMathematical modelProcess assessment (Health Care)

Identifiers

PMID26051196
PMCPMC4522372

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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.