Evidence map›Paper›PMID 26527158›Full record

ArticleJournal of medical case reports2015

An epidemiological investigation to reconstruct a probable human immunodeficiency virus-1 transmission network: a case report.

Sara Serafino, Eleonora Cella, Claudia Montagna, Eugenio Nelson Cavallari, Pietro Vittozzi, Alessandra Lo Presti, Marta Giovanetti, Laura Mazzuti, Ombretta Turriziani, Giancarlo Ceccarelli and 3 more

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical case reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 3 institutions in 1 country.

Sara SerafinoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. serafino.sara@gmail.com.
Eleonora CellaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. eleonora.cella@yahoo.it.
Claudia MontagnaDepartment of Molecular Medicine, Laboratory of Virology, Sapienza University of Rome, Rome, Italy. claudia.montagna@uniroma1.it.
Eugenio Nelson CavallariDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. eugenionelson.cavallari@uniroma1.it.
Pietro VittozziDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. pvittozzi@hotmail.it.
Alessandra Lo PrestiDepartment of Infectious Parasitic and Immunomediated Diseases, Reference Centre on Phylogeny, Molecular Epidemiology and Microbial Evolution (FEMEM)/Epidemiology Unit, National Institute of Health, Rome, Italy. alessandra.lopresti@guest.iss.it.
Marta GiovanettiDepartment of Infectious Parasitic and Immunomediated Diseases, Reference Centre on Phylogeny, Molecular Epidemiology and Microbial Evolution (FEMEM)/Epidemiology Unit, National Institute of Health, Rome, Italy. giovanetti.marta@gmail.com.
Laura MazzutiDepartment of Molecular Medicine, Laboratory of Virology, Sapienza University of Rome, Rome, Italy. lauramazzuti@hotmail.it.
Ombretta TurrizianiDepartment of Molecular Medicine, Laboratory of Virology, Sapienza University of Rome, Rome, Italy. ombretta.turriziani@uniroma1.it.
Giancarlo CeccarelliDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. giancarlo.ceccarelli@uniroma1.it.
Gabriella d'EttorreDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. gabriella.dettore@uniroma1.it.
Vincenzo VulloDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. vincenzo.vullo@uniroma1.it.
Massimo CiccozziDepartment of Infectious Parasitic and Immunomediated Diseases, Reference Centre on Phylogeny, Molecular Epidemiology and Microbial Evolution (FEMEM)/Epidemiology Unit, National Institute of Health, Rome, Italy. massimo.ciccozzi@iss.it.
Sapienza University of Rome · ITIstituto Superiore di Sanità · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently published studies have highlighted the importance of phylogenetic and phylodynamic analyses in supporting epidemiological investigations to reconstruct the transmission network of human immunodeficiency virus. Here, we report a case of sexual transmission of human immunodeficiency virus type 1 between a man and a woman that marks once more the importance of a tightened collaboration between phylogeny and epidemiology. CASE PRESENTATION: We describe a case of human immunodeficiency virus type 1 subtype B transmission in a stable Caucasian heterosexual couple. The man was 30 years old and the woman was 21 years old at the time of their presentation to the Department of Public Health and Infectious Diseases of the University of Rome "Sapienza". The couple reported a history of drug abuse.

conclusionPhylogenetic analysis is a powerful technique that if properly used can prove valuable in research investigations. In the case presented here, a phylogenetic analysis alongside epidemiological evidence allowed us to determine the most probable source of the human immunodeficiency virus infection. The dated tree allowed us to date the transmission event, the time point, and the direction of transmission based on the phylogeny, which agreed with the presumptive time of infection determined from clinical history-taking.

Indexed as

HeterosexualityPhylogenyAdultFemaleHIV-1HIV InfectionsHumansMaleYoung Adult

Identifiers

PMID26527158
PMCPMC4630910
OpenAlexW2137641666

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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.