Evidence map›Paper›PMID 26950901›Full record

Observational studyTropical medicine & international health : TM & IH2016

Effects of unplanned treatment interruptions on HIV treatment failure - results from TAHOD.

Awachana Jiamsakul, Stephen J Kerr, Oon Tek Ng, Man Po Lee, Romanee Chaiwarith, Evy Yunihastuti, Kinh Van Nguyen, Thuy Thanh Pham, Sasisopin Kiertiburanakul, Rossana Ditangco and 16 more

Abstract readObservational Study
In one paragraph

Observational study in Tropical medicine & international health : TM & IH, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. The Social, Behavioral, and Ethical Modalities of COVID-19 on HIV Care in South Africa: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
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  8. Observational
  9. Pharmacy Data as an Alternative Data Source for Implementation of a Data to Care Strategy.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
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  11. Review
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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

26 authors.

Awachana JiamsakulThe Kirby Institute, UNSW Australia, Sydney, Australia.
Stephen J KerrThe Kirby Institute, UNSW Australia, Sydney, Australia.
Oon Tek NgDepartment of Infectious Diseases, Tan Tock Seng Hospital, Singapore City, Singapore.
Man Po LeeQueen Elizabeth Hospital, Hong Kong, China.
Romanee ChaiwarithResearch Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.
Evy YunihastutiWorking Group on AIDS, Faculty of Medicine, University of Indonesia/Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Kinh Van NguyenNational Hospital for Tropical Diseases, Hanoi, Vietnam.
Thuy Thanh PhamBach Mai Hospital, Hanoi, Vietnam.
Sasisopin KiertiburanakulFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Rossana DitangcoResearch Institute for Tropical Medicine, Manila, Philippines.
Vonthanak SaphonnNational Center for HIV/AIDS, Dermatology & STDs and University of Health Sciences, Phnom Penh, Cambodia.
Benedict L H SimHospital Sungai Buloh, Sungai Buloh, Malaysia.
Tuti Parwati MeratiFaculty of Medicine Udayana University & Sanglah Hospital, Bali, Indonesia.
Wingwai WongTaipei Veterans General Hospital, Taipei, Taiwan.
Pacharee KantipongChiangrai Prachanukroh Hospital, Chiang Rai, Thailand.
Fujie ZhangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Jun Yong ChoiDivision of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Sanjay PujariInstitute of Infectious Diseases, Pune, India.
Adeeba KamarulzamanUniversity of Malaya Medical Centre, Kuala Lumpur, Malaysia.
Shinichi OkaNational Center for Global Health and Medicine, Tokyo, Japan.
Mahiran MustafaHospital Raja Perempuan Zainab II, Kota Bharu, Malaysia.
Winai RatanasuwanFaculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Boondarika PetersenTREAT Asia, amfAR - The Foundation for AIDS Research, Bangkok, Thailand.
Matthew LawThe Kirby Institute, UNSW Australia, Sydney, Australia.
Nagalingeswaran KumarasamyYRGCARE Medical Centre, Chennai, India.
TREAT Asia HIV Observational Database (TAHOD)

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

objectivesTreatment interruptions (TIs) of combination antiretroviral therapy (cART) are known to lead to unfavourable treatment outcomes but do still occur in resource-limited settings. We investigated the effects of TI associated with adverse events (AEs) and non-AE-related reasons, including their durations, on treatment failure after cART resumption in HIV-infected individuals in Asia.

methodsPatients initiating cART between 2006 and 2013 were included. TI was defined as stopping cART for >1 day. Treatment failure was defined as confirmed virological, immunological or clinical failure. Time to treatment failure during cART was analysed using Cox regression, not including periods off treatment. Covariables with P < 0.10 in univariable analyses were included in multivariable analyses, where P < 0.05 was considered statistically significant.

resultsOf 4549 patients from 13 countries in Asia, 3176 (69.8%) were male and the median age was 34 years. A total of 111 (2.4%) had TIs due to AEs and 135 (3.0%) had TIs for other reasons. Median interruption times were 22 days for AE and 148 days for non-AE TIs. In multivariable analyses, interruptions >30 days were associated with failure (31-180 days HR = 2.66, 95%CI (1.70-4.16); 181-365 days HR = 6.22, 95%CI (3.26-11.86); and >365 days HR = 9.10, 95% CI (4.27-19.38), all P < 0.001, compared to 0-14 days). Reasons for previous TI were not statistically significant (P = 0.158).

conclusionsDuration of interruptions of more than 30 days was the key factor associated with large increases in subsequent risk of treatment failure. If TI is unavoidable, its duration should be minimised to reduce the risk of failure after treatment resumption.

Indexed as

Drug MonitoringAdultAnti-HIV AgentsAsiaCD4 Lymphocyte CountDisease ProgressionDrug Administration ScheduleDrug Therapy, CombinationFemaleHIV InfectionsHumansMaleMedication AdherenceMiddle AgedProportional Hazards ModelsProspective StudiesAnti-HIV Agentsadverse eventsantiretroviralantirétroviralantirretroviralAsiaAsieeffets indésirableseventos adversosHIVinterrupción del tratamientointerruptions de traitementtreatment interruptionsVIH

Identifiers

PMID26950901
PMCPMC4959847

What OpenQuestion holds

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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.