Evidence map›Paper›PMID 29465708›Full record

ArticleSexually transmitted diseases2018

Integration of Contact Tracing and Phylogenetics in an Investigation of Acute HIV Infection.

Ann M Dennis, Dana K Pasquale, Rachael Billock, Steve Beagle, Victoria Mobley, Anna Cope, JoAnn Kuruc, Joseph Sebastian, Charles Walworth, Peter A Leone

Abstract read
In one paragraph

Article in Sexually transmitted diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Human Immunodeficiency Virus (HIV)-1 Transmission Among Persons With Acute HIV-1 Infection in Malawi: Demographic, Behavioral, and Phylogenetic Relationships.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
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  17. Prediction of HIV Transmission Cluster Growth With Statewide Surveillance Data.Journal of acquired immune deficiency syndromes (1999) · 2019
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  19. Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.Journal of acquired immune deficiency syndromes (1999) · 2018
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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

10 authors.

Ann M Dennis
Dana K Pasquale
Rachael Billock
Steve Beagle
Victoria Mobley
Anna Cope
JoAnn Kuruc
Joseph Sebastian
Charles Walworth
Peter A Leone

Funding

Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
Using Phylogenetics to Elucidate HIV Transmission Patterns and Inform PreventionK08AI112432 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DENNIS, ANN · 2014 to 2017
$697k
NIAID NIH HHS K08 AI112432NIAID NIH HHS T32 AI070114
6 · The paper itself

Abstract

backgroundThe integration of traditional contact tracing with HIV sequence analyses offers opportunities to mitigate some of the barriers to effective network construction. We used combined analyses during an outbreak investigation of spatiotemporally clustered acute HIV infections to evaluate if the observed clustering was the product of a single outbreak.

methodsWe investigated acute and recent HIV index cases reported in North Carolina from 2013 to 2014 and their reported contacts. Contact tracing networks were constructed with surveillance data and compared with phylogenetic transmission clusters involving an index case using available HIV-1 pol sequences including 1672 references. Clusters were defined as clades of 2 or more sequences with a less than 1.5% genetic distance and a bootstrap of at least 98% on maximum-likelihood phylogenies.

resultsIn total, 68 index cases and 210 contacts (71 HIV infected) were reported. The contact tracing network involved 58 components with low overall density (1.2% statewide); 33% of first-degree contacts could not be located. Among 38 (56%) of 68 index cases and 34 (48%) of 71 contacts with sequences, 13 phylogenetic clusters were identified (size 2-4 members). Four clusters connected network components that were not linked in contact tracing. The largest component (n = 28 cases) included 2 distinct phylogenetic clusters and spanned 2 regions.

conclusionsWe identified the concurrent expansion of multiple small transmission clusters rather than a single outbreak in a largely disconnected contact tracing network. Integration of phylogenetic analyses provided timely information on transmission networks during the investigation. Our findings highlight the potential of combined methods to better identify high-risk networks for intervention.

Indexed as

PhylogenyAdultCluster AnalysisContact TracingDisease OutbreaksFemaleGenotypeHIV-1HIV InfectionsHumansMaleMiddle AgedNorth CarolinaSequence Analysis, DNASexual PartnersYoung Adult

Identifiers

PMID29465708
PMCPMC5847418

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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.