Evidence map›Paper›PMID 28693564›Full record

ArticleBMC infectious diseases2017

Surveillance of recent HIV infections among newly diagnosed HIV cases in Germany between 2008 and 2014.

Alexandra Hofmann, Andrea Hauser, Ruth Zimmermann, Claudia Santos-Hövener, Jörg Bätzing-Feigenbaum, Stephan Wildner, Claudia Kücherer, Norbert Bannert, Osamah Hamouda, Viviane Bremer and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Alexandra HofmannDepartment for Infectious Disease Epidemiology, Unit 34 HIV/AIDS, STI and Blood-Borne Infections, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany. HofmannA@rki.de.
Andrea HauserDepartment of Infectious Diseases, Unit 18 HIV and Other Retroviruses, Robert Koch-Institute, Nordufer 20, 13353, Berlin, Germany.
Ruth ZimmermannDepartment for Infectious Disease Epidemiology, Unit 34 HIV/AIDS, STI and Blood-Borne Infections, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany.
Claudia Santos-HövenerDepartment for Infectious Disease Epidemiology, Unit 34 HIV/AIDS, STI and Blood-Borne Infections, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany.
Jörg Bätzing-FeigenbaumCentral Research Institute of Ambulatory Health Care in Germany (Zi), Berlin, Germany.
Stephan WildnerSGS Belgium NV, Generaal De Wittelaan 19, B-2800, Mechelen, Belgium.
Claudia KüchererDepartment of Infectious Diseases, Unit 18 HIV and Other Retroviruses, Robert Koch-Institute, Nordufer 20, 13353, Berlin, Germany.
Norbert BannertDepartment of Infectious Diseases, Unit 18 HIV and Other Retroviruses, Robert Koch-Institute, Nordufer 20, 13353, Berlin, Germany.
Osamah HamoudaDepartment for Infectious Disease Epidemiology, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany.
Viviane BremerDepartment for Infectious Disease Epidemiology, Unit 34 HIV/AIDS, STI and Blood-Borne Infections, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany.
Barbara BartmeyerDepartment for Infectious Disease Epidemiology, Unit 34 HIV/AIDS, STI and Blood-Borne Infections, Robert Koch-Institute, Seestr.10, 13353, Berlin, Germany.
Robert Koch Institute · DECentral Institute of Mental Health · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe HIV surveillance system in Germany is based on mandatory, anonymous notification of newly diagnosed HIV cases by laboratories. Because the time between HIV infection and the diagnosis of HIV varies widely between persons, it is difficult to determine the number of cases of recent HIV infection among newly diagnosed cases of HIV. In Germany, the BED-capture-enzyme immunoassay (BED-CEIA) has been used to distinguish between recent and long-standing HIV infection. The aim of this analysis is to report the proportion of cases of recent HIV infection among newly diagnosed cases in Germany between 2008 and 2014 and to identify factors associated with recent infections.

methodsA sample of voluntary laboratories among all HIV diagnostic laboratories was recruited. Residual blood from HIV diagnostic tests was spotted on filter paper as dried serum or dried plasma spots and was sent along with the notification form of the HIV cases. The BED-CEIA test was performed. A case was defined as recent HIV infection with a BED-CEIA test result of less than 0.8 normalized optical density, with the exclusion of CDC stage C. The proportion of recent newly diagnosed HIV infections among different groups (such as transmission groups, gender or age groups) was calculated. We used logistic regression to identify factors associated with recent HIV infection and to identify subpopulations with high proportions of recent HIV infections.

resultsApproximately 10,257 newly diagnosed cases were tested for recency using the BED-CEIA. In total, 3084 (30.4%) of those were recently infected with HIV. The highest proportion of recent HIV infections was found among men who had sex with men (MSM) (35%) and persons between 18 and 25 years of age (43.0%). Logistic regression revealed that female German intravenous drug users with a recent HIV infection had a higher chance of being detected than German MSM (OR 2.27).

conclusionsSurveillance of recent HIV infection is a useful additional tool to monitor the HIV epidemic in Germany. We could observe ongoing HIV transmission in Germany in general and in different subgroups, and we could identify factors associated with recent HIV infection in Germany.

Indexed as

AdultDried Blood Spot TestingFemaleGermanyHIV InfectionsHumansImmunoenzyme TechniquesLaboratoriesMaleMiddle AgedSexual and Gender MinoritiesYoung AdultBed-CEIAGermanyHIVRecent HIV infectionSurveillanceTest for recency of infection

Identifiers

PMID28693564
PMCPMC5504740
OpenAlexW2734940340

What OpenQuestion holds

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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.