Evidence map›Paper›PMID 26069150›Full record

ArticleAntiviral therapy2016

Tenofovir-based antiretroviral therapy in 
HBV-HIV coinfection: results from the TREAT Asia HIV Observational Database.

David C Boettiger, Stephen Kerr, Rossana Ditangco, Romanee Chaiwarith, Patrick Ck Li, Tuti Parwati Merati, Thuy Thi Thanh Pham, Sasisopin Kiertiburanakul, Nagalingeswaran Kumarasamy, Saphonn Vonthanak and 16 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Antiviral therapy, 2016. 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
0.2field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  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

26 authors at 20 institutions in 13 countries.

David C BoettigerThe Kirby Institute, UNSW Australia, Sydney, Australia. dboettiger@kirby.unsw.edu.au.
Stephen Kerr
Rossana Ditangco
Romanee Chaiwarith
Patrick Ck Li
Tuti Parwati Merati
Thuy Thi Thanh Pham
Sasisopin Kiertiburanakul
Nagalingeswaran Kumarasamy
Saphonn Vonthanak
Christopher Kc Lee
Nguyen Van Kinh
Sanjay Pujari
Wing Wai Wong
Adeeba Kamarulzaman
Fujie Zhang
Evy Yunihastuti
Jun Yong Choi
Shinichi Oka
Oon Tek Ng
Pacharee Kantipong
Mahiran Mustafa
Winai Ratanasuwan
Nicolas Durier
Matthew Law
TREAT Asia HIV Observational Database
Mahidol University · THUNSW Sydney · AUBạch Mai Hospital · VNCapital Medical University · CNChiangRai Prachanukroh Hospital · THHIV Netherlands Australia Thailand Research Collaboration · THHospital for Tropical Diseases · VNHospital Raja Perempuan Zainab II · MYHospital Sungai Buloh · MYNational Center for Global Health and Medicine · JPNational Center for HIV/AIDS, Dermatology and STD · KHQueen Elizabeth Hospital · CNResearch Institute for Tropical Medicine · PHRumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo · IDTaipei Veterans General Hospital · TWTan Tock Seng Hospital · SGUdayana University · IDUniversity of Malaya · MYYonsei University · KRYR Gaitonde Centre for AIDS Research and Education · IN

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

backgroundThe World Health Organization recommends HBV-HIV-coinfected individuals start antiretroviral therapy containing tenofovir. Here we describe first-line tenofovir use and treatment outcomes in coinfected patients in Asia.

methodsHBV surface antigen positive patients enrolled in the TREAT Asia HIV Observational Database who started first-line antiretroviral therapy were included. Logistic regression adjusted for period of treatment initiation was used to determine factors associated with tenofovir use. Generalized estimating equations were used to evaluate factors associated with alanine transaminase levels and CD4(+) T-cell count on treatment.

resultsThere were 548 eligible patients, of whom 149 (27.2%) started tenofovir. Patients treated in high/high-middle income countries (odds ratio 4.4 versus low/low-middle, 95% CI 2.6, 7.4; P<0.001) and those with elevated baseline alanine transaminase (odds ratio 4.2 versus normal, 95% CI 2.4, 7.2; P<0.001) were more likely to receive tenofovir. Hepatitis C antibody positive patients (odds ratio 0.4 versus negative, 95% CI 0.2, 0.8; P=0.008) were less likely. In those starting antiretroviral therapy with elevated alanine transaminase, mean reduction after tenofovir initiation was 11.2 IU/l (95% CI 0.9, 21.6; P=0.034) lower compared with those using a non-tenofovir-based regimen although this did not significantly increase the chance of alanine transaminase normalization. Tenofovir use was not associated with a superior CD4(+) T-cell response.

conclusionsHBV-HIV-coinfected patients in Asia are most likely to receive tenofovir if they are treated in a high/high-middle income country, have elevated alanine transaminase levels and are hepatitis C antibody negative. Compared to other antiretroviral therapies, tenofovir-based regimens more effectively reduce liver inflammation in HBV-HIV-coinfection but do not result in superior CD4(+) T-cell recovery.

Indexed as

CoinfectionAntiretroviral Therapy, Highly ActiveAntiviral AgentsBiomarkersCD4 Lymphocyte CountCohort StudiesDatabases, FactualDrug Therapy, CombinationFemaleHepatitis BHepatitis B virusHIV-1HIV InfectionsHumansKidney Function TestsLiver Function TestsAntiviral AgentsBiomarkersReverse Transcriptase InhibitorsTenofovir

Identifiers

PMID26069150
PMCPMC4757505
OpenAlexW626124626

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.