Evidence map›Paper›PMID 28484509›Full record

ArticleAIDS research and therapy2017

Factors associated with pre-treatment HIV RNA: application for the use of abacavir and rilpivirine as the first-line regimen for HIV-infected patients in resource-limited settings.

Sasisopin Kiertiburanakul, David Boettiger, Oon Tek Ng, Nguyen Van Kinh, Tuti Parwati Merati, Anchalee Avihingsanon, Wing-Wai Wong, Man Po Lee, Romanee Chaiwarith, Adeeba Kamarulzaman and 16 more

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in AIDS research and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 15 institutions in 13 countries.

Sasisopin KiertiburanakulDepartment of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Bangkok, 10400 Thailand.
David BoettigerThe Kirby Institute, University of New South Wales, Sydney, Australia.
Oon Tek NgTan Tock Seng Hospital, Singapore, Singapore.
Nguyen Van KinhNational Hospital of Tropical Diseases, Hanoi, Vietnam.
Tuti Parwati MeratiDepartment of Medicine, Faculty of Medicine, Udayana University & Sanglah Hospital, Bali, Indonesia.
Anchalee AvihingsanonHIV-NAT/Thai Red Cross AIDS Research Centre, Bangkok, Thailand.
Wing-Wai WongTaipei Veterans General Hospital, Taipei, Taiwan.
Man Po LeeQueen Elizabeth Hospital, Hong Kong, China.
Romanee ChaiwarithResearch Institute for Health Sciences, Chiang Mai, Thailand.
Adeeba KamarulzamanUniversity Malaya Medical Centre, Kuala Lumpur, Malaysia.
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.
Nagalingeswaran KumarasamyChennai Antiviral Research and Treatment Clinical Research Site (CART CRS), YRGCARE Medical Centre, VHS, Chennai, India.
Rossana DitangcoResearch Institute for Tropical Medicine, Manila, Philippines.
Do Duy CuongBach Mai Hospital, Hanoi, Vietnam.
Shinichi OkaNational Center for Global Health and Medicine, Tokyo, Japan.
Benedict Lim Heng SimHospital Sungai Buloh, Sungai Buloh, Malaysia.
Winai RatanasuwanFaculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Penh Sun LyNational Center for HIV/AIDS, Dermatology & STDs, University of Health Sciences, Phnom Penh, Cambodia.
Evy YunihastutiFaculty of Medicine Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Sanjay PujariInstitute of Infectious Diseases, Pune, India.
Jeremy L RossTREAT Asia, amfAR, The Foundation for AIDS Research, Bangkok, Thailand.
Matthew LawThe Kirby Institute, University of New South Wales, Sydney, Australia.
Somnuek SungkanuparphDepartment of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 270 Rama VI Road, Bangkok, 10400 Thailand.
TREAT Asia HIV Observational Databases (TAHOD)
Capital Medical University · CNMahidol University · THNational Center for Global Health and Medicine · JPResearch Institute for Tropical Medicine · PHSiriraj Hospital · THTaipei Veterans General Hospital · TWTan Tock Seng Hospital · SGUdayana University · IDUniversity Malaya Medical Centre · MYUNSW Sydney · AUQueen Elizabeth Hospital · CNRamathibodi Hospital · THUniversity of Health Science · KHUniversity of Indonesia · IDYonsei University · KR

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

backgroundAbacavir and rilpivirine are alternative antiretroviral drugs for treatment-naïve HIV-infected patients. However, both drugs are only recommended for the patients who have pre-treatment HIV RNA <100,000 copies/mL. In resource-limited settings, pre-treatment HIV RNA is not routinely performed and not widely available. The aims of this study are to determine factors associated with pre-treatment HIV RNA <100,000 copies/mL and to construct a model to predict this outcome.

methodsHIV-infected adults enrolled in the TREAT Asia HIV Observational Database were eligible if they had an HIV RNA measurement documented at the time of ART initiation. The dataset was randomly split into a derivation data set (75% of patients) and a validation data set (25%). Factors associated with pre-treatment HIV RNA <100,000 copies/mL were evaluated by logistic regression adjusted for study site. A prediction model and prediction scores were created.

resultsA total of 2592 patients were enrolled for the analysis. Median [interquartile range (IQR)] age was 35.8 (29.9-42.5) years; CD4 count was 147 (50-248) cells/mm

conclusionA model prediction for pre-treatment HIV RNA <100,000 copies/mL produced an area under the ROC curve of 0.70. A larger sample size for prediction model development as well as for model validation is warranted.

Indexed as

Decision Support TechniquesViral LoadAbacavirAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveAsiaDeveloping CountriesDideoxynucleosidesFemaleHIV InfectionsHumansMaleProspective StudiesRilpivirineRNA, ViralAbacavirAnti-HIV AgentsDideoxynucleosidesRilpivirineRNA, ViralAbacavirHIV RNAModelPredictionRilpivirine

Identifiers

PMID28484509
PMCPMC5420083
OpenAlexW2611171158

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.