Evidence map›Paper›PMID 30763366›Full record

ArticlePloS one2019

HIV diagnoses in migrant populations in Australia-A changing epidemiology.

Praveena Gunaratnam, Anita Elizabeth Heywood, Skye McGregor, Muhammad Shahid Jamil, Hamish McManus, Limin Mao, Roanna Lobo, Graham Brown, Margaret Hellard, Tafireyi Marukutira and 6 more

Open access · goldAbstract 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 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 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

16 authors at 6 institutions in 1 country.

Praveena GunaratnamKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.ORCID 0000-0003-3280-5658
Anita Elizabeth HeywoodSchool of Public Health and Community Medicine, UNSW Sydney, Sydney, Australia.
Skye McGregorKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Muhammad Shahid JamilKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Hamish McManusKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Limin MaoCentre for Social Research in Health, UNSW Sydney, Sydney, Australia.ORCID 0000-0003-0995-5789
Roanna LoboSchool of Public Health, Curtin University, Perth, Australia.
Graham BrownAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Margaret HellardBurnet Institute, Melbourne, Australia.
Tafireyi MarukutiraBurnet Institute, Melbourne, Australia.ORCID 0000-0003-1142-6114
Neil Arvin BretañaKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Carolyn LangCommunicable Diseases Branch, Queensland Department of Health, Brisbane, Australia.
Nicholas MedlandMelbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
Benjamin BavintonKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Andrew GrulichKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Rebecca GuyKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
UNSW Sydney · AUBurnet Institute · AUCurtin University · AULa Trobe University · AUMelbourne Sexual Health Centre · AUQueensland Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe conducted a detailed analysis of trends in new HIV diagnoses in Australia by country of birth, to understand any changes in epidemiology, relationship to migration patterns and implications for public health programs.

methodsPoisson regression analyses were performed, comparing the age-standardised HIV diagnosis rates per 100,000 estimated resident population between 2006-2010 and 2011-2015 by region of birth, with stratification by exposure (male-to-male sex, heterosexual sex-males and females). Correlation between the number of permanent and long-term arrivals was also explored using linear regression models.

resultsBetween 2006 and 2015, there were 6,741 new HIV diagnoses attributed to male-to-male sex and 2,093 attributed to heterosexual sex, with the proportion of diagnoses attributed to male-to-male sex who were Australian-born decreasing from 72.5% to 66.5%. Compared with 2006-2010, the average annual HIV diagnosis rate per 100,000 in 2011-15 attributed to male-to-male sex was significantly higher in men born in South-East Asia (summary rate ratio (SRR) = 1.37, p = 0.001), North-East Asia (SRR = 2.18, p<0.001) and the Americas (SRR = 1.37, p = 0.025), but significantly lower as a result of heterosexual sex in men born in South-East Asia (SRR = 0.49, p = 0.002), Southern and Central Asia (SRR = 0.50, p = 0.014) and Sub-Saharan Africa (SRR = 0.39, p<0.001) and women born in South-East Asia (SRR = 0.61, p = 0.002) and Sub-Saharan Africa (SRR = 0.61, p<0.001). Positive associations were observed between the number of permanent and long-term arrivals and HIV diagnoses particularly in relation to diagnoses associated with male-to-male sex in men from North Africa and the Middle East, North Asia, Southern and Central Asia and the Americas.

conclusionThe epidemiology of HIV in Australia is changing, with an increase in HIV diagnosis rates attributed to male-to-male sex amongst men born in Asia and the Americas. Tailored strategies must be developed to increase access to, and uptake of, prevention, testing and treatment in this group.

Indexed as

AdultAustraliaFemaleHeterosexualityHIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedRisk FactorsSexual BehaviorTransients and MigrantsYoung Adult

Identifiers

PMID30763366
PMCPMC6375626
OpenAlexW2914909240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.