Evidence map›Paper›PMID 26679270›Full record

Observational studyAIDS care2015

Treatment and disease outcomes of migrants from low- and middle-income countries in the Australian HIV Observational Database cohort.

Donna M Tilley, Elizabeth Griggs, Jennifer Hoy, Stephen T Wright, Ian Woolley, Michael Burke, Catherine C O'Connor, Australian HIV Observational Database (AHOD)

Abstract readObservational Study
In one paragraph

Observational study in AIDS care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Definitions ofInternational journal of environmental research and public health · 2021
    Review
  3. Observational
  4. Observational
  5. Review
  6. 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

8 authors.

Donna M Tilleya RPA Sexual Health , Camperdown , Australia.
Elizabeth Griggsa RPA Sexual Health , Camperdown , Australia.
Jennifer Hoyc Department of Infectious Diseases , The Alfred Hospital and Monash University , Victoria , Australia.
Stephen T Wrightd The Kirby Institute, UNSW Australia , Sydney , Australia.
Ian Woolleyc Department of Infectious Diseases , The Alfred Hospital and Monash University , Victoria , Australia.
Michael Burkef Nepean Hospital Sexual Health and HIV Clinic , Blacktown , Australia.
Catherine C O'Connora RPA Sexual Health , Camperdown , Australia.
Australian HIV Observational Database (AHOD)

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907NIAID NIH HHS U01-AI069907
6 · The paper itself

Abstract

People from culturally and linguistically diverse backgrounds, including low- and middle-income countries, account for a third of new HIV diagnoses in Australia and are a priority for HIV prevention and treatment programs. We describe the demographic and clinical characteristics of participants in the Australian HIV Observational Database (AHOD) and compare disease outcomes, progression to AIDS and treatment outcomes of those born in low- and middle-income countries, with those born in high-income countries and Australia. All participants enrolled in AHOD sites where country of birth is routinely collected were included in the study. Age, CD4 count, HIV viral load, antiretroviral therapy, hepatitis co-infection, all-cause mortality and AIDS illness were analysed. Of 2403 eligible participants, 77.3% were Australian born, 13.7% born in high-income countries and 9.0% born in middle- or low-income countries. Those born in Australia or high-income countries were more likely to be male (96%) than those from middle- or low-income countries (76%), p < .0001 and more likely to have acquired HIV via male to male sexual contact (77%; 79%) compared with those from middle- or low-income countries (50%), p < .0001. At enrolment, mean CD4 cell count was higher in Australian born (528 cells/µL) than both those born in high-income countries (468 cells/µL) and those born in middle- and low-income countries (451 cells/µL), p < .0001; whereas the mean HIV RNA level (log10 copies/mL) was similar in all three groups (4.44, 4.76 and 4.26, respectively), p = .19.There was no difference in adjusted incidence risk ratios for all-cause mortality and AIDS incidence in all three groups, p = .39. These findings reflect successful outcomes of people born in low- and middle-income countries once engaged in HIV care.

Indexed as

Developing CountriesEmigrants and ImmigrantsAdultAfrica South of the SaharaAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveAsiaAustraliaDisease ProgressionFemaleHIV InfectionsHumansLatin AmericaMalePovertySocioeconomic FactorsAnti-HIV AgentsAIDS incidenceAIDS mortalityCD4 cell countHIVlow- and middle-income countrymigrant

Identifiers

PMID26679270
PMCPMC5924735

What OpenQuestion holds

Textmetadata
LicenceTDM
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.