Evidence map›Paper›PMID 30615271›Full record

ArticleJournal of the International AIDS Society2019

Trends in mortality among ART-treated HIV-infected adults in the Asia-Pacific region between 1999 and 2017: results from the TREAT Asia HIV Observational Database (TAHOD) and Australian HIV Observational Database (AHOD) of IeDEA Asia-Pacific.

In Young Jung, Dhanushi Rupasinghe, Ian Woolley, Catherine C O'Connor, Michelle Giles, Raja Isr Azwa, Jun Yong Choi, IeDEA Asia-Pacific

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  6. Observational
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  9. Review
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  15. Observational
  16. Recent HIV infection testing algorithms.The Indian journal of medical research · 2020
    Article
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  18. Article
  19. Observational
  20. Immunotherapy in People With HIV and Cancer.Frontiers in immunology · 2019
    Review
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.

In Young JungDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, South Korea.
Dhanushi RupasingheThe Kirby Institute, UNSW Sydney, Sydney, NSW, Australia.
Ian WoolleyMonash Infectious Diseases, Monash Health and Monash University, Clayton, Vic., Australia.
Catherine C O'ConnorThe Kirby Institute, UNSW Sydney, Sydney, NSW, Australia.
Michelle GilesDepartment of Infectious Diseases, The Alfred Hospital and Monash University, Melbourne, Vic., Australia.ORCID 0000-0003-3007-1822
Raja Isr AzwaUniversity of Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia.
Jun Yong ChoiAIDS Research Institute, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-2775-3315
IeDEA Asia-Pacific

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 AI069907
6 · The paper itself

Abstract

introductionAIDS-related deaths in people living with HIV/AIDS have been decreasing in number since the introduction of combination antiretroviral treatment (cART). However, data on recent causes of death in the Asia-Pacific region are limited. Hence, we analysed and compared AIDS-related and non-AIDS-related mortality in high- and low-income settings in the region.

methodsPatients from the TREAT Asia HIV Observational Database (TAHOD) and Australian HIV Observational Database (AHOD) receiving cART between 1999 and 2017 were included. Causes of death verification were based on review of the standardized Cause of Death (CoDe) form designed by the D:A:D group. Cohorts were grouped as AHOD (all high-income sites), TAHOD-high (high/upper-middle income countries) and TAHOD-low (lower-middle income countries). TAHOD sites were split into high/upper-middle income and lower-middle income country settings based on World Bank classifications. Competing risk regression was used to analyse factors associated with AIDS and non-AIDS-related mortality.

resultsOf 10,386 patients, 522 died; 187 from AIDS-related and 335 from non-AIDS-related causes. The overall incidence rate of deaths during follow-up was 0.28 per 100 person-years (/100 PYS) for AIDS and 0.51/100 PYS for non-AIDS. Analysis indicated that the incidence rate of non-AIDS mortality decreased from 0.78/100 PYS to 0.37/100 PYS from year groups 2003 to 2007 to 2013 to 2017 (p < 0.001). Similarly, incidence rates of AIDS-related deaths decreased from 0.51/100 PYS to 0.09/100 PYS from year groups 2003 to 2007 to 2013 to 2017 (p < 0.001). More recent years of follow-up were associated with reduced hazard for non-AIDS mortality (2008 to 2012: aSHR (adjusted sub-hazard ratio) 0.72, 95% confidence interval (CI) 0.54 to 0.96, p = 0.027; 2013 to 2017: aSHR 0.64, 95% CI 0.47 to 0.87, p = 0.004) compared to years 2003 to 2007. The AHOD cohort had almost twice the hazard of non-AIDS mortality compared to TAHOD-low (lower-middle income sites) (aSHR 1.72, 95% CI, 1.20 to 2.46, p = 0.003); there were no differences between cohorts for AIDS-related mortality (p = 0.834).

conclusionAIDS and non-AIDS-related mortality rates have decreased over the past years in the Asia-Pacific region. There is a greater risk for non-AIDS-associated deaths in the AHOD cohort compared to lower-middle income settings in TAHOD.

Indexed as

AdultAnti-HIV AgentsAnti-Retroviral AgentsAsiaAustraliaCause of DeathCohort StudiesDatabases, FactualData ManagementFemaleHIV InfectionsHumansMaleMiddle AgedObservational Studies as TopicProportional Hazards ModelsAnti-HIV AgentsAnti-Retroviral AgentsAsia-Pacificcohort studieshigh-incomelow-incomemortalityrisk factors

Identifiers

PMID30615271
PMCPMC6322485

What OpenQuestion holds

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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.