Evidence map›Paper›PMID 29717148›Full record

ArticleScientific reports2018

Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions - Cologne/Bonn, Munich and Hannover, 1999-2016.

Melanie Stecher, Antoine Chaillon, Josef Eberle, Georg M N Behrens, Anna-Maria Eis-Hübinger, Clara Lehmann, Alexandra Jablonka, Johannes Bogner, Gerd Fätkenheuer, Christoph D Spinner and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  14. Hotspots of Transmission Driving the Local Human Immunodeficiency Virus Epidemic in the Cologne-Bonn Region, Germany.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  15. Article
  16. Pretreatment human immunodeficiency virus type 1 (HIV-1) drug resistance in transmission clusters of the Cologne-Bonn region, Germany.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2019
    Article
  17. 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

15 authors.

Melanie StecherDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Antoine ChaillonDivision of Infectious Diseases, University of California San Diego, San Diego, CA, USA. achaillon@ucsd.edu.
Josef EberleMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, Faculty of Medicine, LMU München, Munich, Germany.
Georg M N BehrensDepartment for Clinical Immunology and Rheumatology, Hannover Medical School, Hannover, Germany.
Anna-Maria Eis-HübingerInstitute of Virology, University of Bonn Medical Centre, Bonn, Germany.
Clara LehmannDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Alexandra JablonkaDepartment for Clinical Immunology and Rheumatology, Hannover Medical School, Hannover, Germany.
Johannes BognerGerman Centre for Infection Research (DZIF), partner Munich, Munich, Germany.
Gerd FätkenheuerDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Christoph D SpinnerGerman Centre for Infection Research (DZIF), partner Munich, Munich, Germany.ORCID 0000-0002-3875-5367
Jan-Christian WasmuthDepartment for Internal Medicine I, University Hospital of Bonn, Bonn, Germany.
Rolf KaiserInstitute of Virology, University Hospital of Cologne, Cologne, Germany.
Sanjay R MehtaDivision of Infectious Diseases, University of California San Diego, San Diego, CA, USA.
Joerg Janne VehreschildDepartment I of Internal Medicine, University Hospital of Cologne, Cologne, Germany.
Martin HoeniglDivision of Infectious Diseases, University of California San Diego, San Diego, CA, USA. mhoenigl@ucsd.edu.ORCID 0000-0002-1653-2824

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
Translational Methamphetamine AIDS Research Center (TMARC)P50DA026306 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRANT, IGOR · 2009 to 2018
$33.9M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
Perception of repeated negative HIV test results in young men who have sex with menR21MH113477 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOENIGL, MARTIN · 2018 to 2019
$441k
The Prostate as a Reservoir for Residual ReplicationR21AI131971 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAILLON, ANTOINE · 2018 to 2019
$432k
NIAID NIH HHS P30 AI036214NIAID NIH HHS R21 AI131971NIAID NIH HHS R24 AI106039NIDA NIH HHS P50 DA026306NIMH NIH HHS R01 MH100974NIMH NIH HHS R21 MH113477NIMH NIH HHS R25 MH081482
6 · The paper itself

Abstract

Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions between 1999-2016. The regions have in common that they host some of the largest annual festivals in Europe (Carnival and Oktoberfest). Putative links with sequences (n = 150,396) from the Los Alamos HIV Sequence database were evaluated. A total of 595/2,774 (21.4%) sequences linked with at least one other sequence, forming 184 transmission clusters. Clustering individuals were significantly more likely to be younger, male, and report sex with men as their main risk factor (p < 0.001 each). Most clusters (77.2%) consisted exclusively of men; 41 (28.9%) of these included men reporting sex with women. Thirty-two clusters (17.4%) contained sequences from more than one region; clustering men were significantly more likely to be in a position bridging regional HIV epidemics than clustering women (p = 0.027). We found 236 clusters linking 547 sequences from our sample with sequences from the Los Alamos database (n = 1407; 31% from other German centres). These results highlight the pitfalls of focusing HIV prevention efforts on specific risk groups or specific locales.

Indexed as

EpidemicsAdultCluster AnalysisFemaleGermanyHeterosexualityHIV-1HIV InfectionsHolidaysHomosexuality, MaleHumansIncidenceMaleMiddle AgedMolecular EpidemiologyRisk Factors

Identifiers

PMID29717148
PMCPMC5931588

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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.