Evidence map›Paper›PMID 30964906›Full record

ArticlePloS one2019

HIV continues to spread among men who have sex with men in Georgia; time for action.

Ali Mirzazadeh, Atefeh Noori, Natia Shengelia, Ivdity Chikovani

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Prevalence of HIV, HCV and HBV in Central Asia and the Caucasus: A systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  2. Brief Report: HIV Incidence Among People Who Inject Drugs, San Francisco, 2022.Journal of acquired immune deficiency syndromes (1999) · 2025
    Article
  3. Article
  4. 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

4 authors.

Ali MirzazadehDepartment of Epidemiology and Biostatistics, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0002-0478-3220
Atefeh NooriDepartment of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Ontario, Hamilton, Canada.
Natia ShengeliaCuratio International Foundation, Tbilisi, Georgia.ORCID 0000-0002-0817-6196
Ivdity ChikovaniCuratio International Foundation, Tbilisi, Georgia.

Funding

Int'l Traineeships in AIDS Prevention Studies (ITAPS)R25MH064712 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, CHRISTINA P · 2002 to 2018
$3.4M
NIMH NIH HHS R25 MH064712
6 · The paper itself

Abstract

introductionIn order to determine the impact of HIV prevention and care programs, it is essential to look at both HIV incidence and prevalence estimates and trends over time. We estimated the HIV incidence and prevalence and assessed the trend using data from three cross-sectional surveys of men who have sex with men (MSM) in two cities in Georgia.

methodsUsing respondent-driven sampling strategy, a total of 796 eligible MSM (18 years or older men with self-reported oral or anal sex with another man in past 12 months) were recruited in Tbilisi in 2010, 2012 and 2015 and 115 in Batumi 2015 into behavioral surveys and HIV testing. To estimate the HIV incidence, we divided the number MSM tested positive for HIV to the time at risk. We calculated the time at risk as years since age at first anal intercourse to the age at last HIV-negative test or the age at first HIV-positive test, accounted for the interval censorship. We calculated the respondent-driven sampling adjusted estimates for HIV prevalence and assessed the trend in Tbilisi by Chi2 test for trend. For HIV incidence rate, we used Kaplan Meier method to estimate the rates and assessed the subgroup differences by log-rank test.

resultsThe HIV prevalence was 14.9% in Batumi in 2015; it significantly increased in Tbilisi from 6.2% in 2010 to 14.1% in 2012, and to 19.6% in 2015 (p-value for trend < 0.001). Likewise, the HIV incidence rate in Tbilisi significantly increased form 0.45 per 100 person-years (PY) in 2010 to 0.98 per 100 PY in 2012 (p-value 0.01), and to 1.63 per 100 PY in 2015 (p-value < 0.001). HIV incidence rate was 1.37 per 100 PY in Batumi in 2015. In 2015, young MSM (Tbilisi: 3.71, Batumi: 3.92 per 100 PY, p-value< 0.008), single MSM (Tbilisi: 1.99, per 100 PY, p-value 0.03) and less educated MSM (Batumi: 1.86 per 100 PY, p-value 0.03) had higher HIV incidence than other MSM.

conclusionOur findings suggest the continuous transmission of HIV among MSM in Tbilisi and a high prevalence of HIV among MSM in Batumi and the critical need for scaling up the coverage and accessibility of combination prevention packages including rapid HIV diagnosis and treatment.

Indexed as

AdultCross-Sectional StudiesGeorgia (Republic)HIVHIV InfectionsHomosexuality, MaleHumansIncidenceMalePrevalenceRisk-TakingSexual Behavior

Identifiers

PMID30964906
PMCPMC6456173

What OpenQuestion holds

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LicenceCC BY
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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.