Evidence map›Paper›PMID 26939050›Full record

ArticlePloS one2016

Incidence of AIDS-Defining Opportunistic Infections and Mortality during Antiretroviral Therapy in a Cohort of Adult HIV-Infected Individuals in Hanoi, 2007-2014.

Junko Tanuma, Kyu Ha Lee, Sebastien Haneuse, Shoko Matsumoto, Dung Thi Nguyen, Dung Thi Hoai Nguyen, Cuong Duy Do, Thuy Thanh Pham, Kinh Van Nguyen, Shinichi Oka

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05153005 (Comprehensive Diagnosis and Treatment Strategy for Opportunistic Fungal Infections in AIDS Patients), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 26% 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.

NCT05153005 unknown statusnot on this mapstarted 2021, after this paper: background citation

Comprehensive Diagnosis and Treatment Strategy for Opportunistic Fungal Infections in AIDS Patients

TypeobservationalSponsorGuangzhou 8th People's HospitalRan2021 to 2023Enrolled600ConditionsOpportunistic Fungal InfectionsArmsexamination methods
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Observational
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  4. Review
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  9. Observational
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  12. Risk ofIn vivo (Athens, Greece)
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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

10 authors at 5 institutions in 3 countries.

Junko TanumaAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Kyu Ha LeeEpidemiology and Biostatistics Core, The Forsyth Institute, Cambridge, Massachusetts, United States of America.
Sebastien HaneuseBiostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Shoko MatsumotoAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Dung Thi NguyenHIV Department, National Hospital of Tropical Disease, Hanoi, Vietnam.
Dung Thi Hoai NguyenHIV Department, National Hospital of Tropical Disease, Hanoi, Vietnam.
Cuong Duy DoInfectious Disease Department, Bach Mai Hospital, Hanoi, Vietnam.
Thuy Thanh PhamInfectious Disease Department, Bach Mai Hospital, Hanoi, Vietnam.
Kinh Van NguyenHIV Department, National Hospital of Tropical Disease, Hanoi, Vietnam.
Shinichi OkaAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Hospital for Tropical Diseases · VNBạch Mai Hospital · VNNational Center for Global Health and Medicine · JPHarvard Global Health Institute · USHarvard University · US

Funding

Clustered semi-competing risks analysis in quality of end-of-life care studiesR01CA181360 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN · 2014 to 2017
$1.8M
NCI NIH HHS R01 CA181360
6 · The paper itself

Abstract

backgroundAlthough the prognosis for HIV-infected individuals has improved after antiretroviral therapy (ART) scale-up, limited data exist on the incidence of AIDS-defining opportunistic infections (ADIs) and mortality during ART in resource-limited settings.

methodsHIV-infected adults in two large hospitals in urban Hanoi were enrolled to the prospective cohort, from October 2007 through December 2013. Those who started ART less than one year before enrollment were assigned to the survival analysis. Data on ART history and ADIs were collected retrospectively at enrollment and followed-up prospectively until April 2014.

resultsOf 2,070 cohort participants, 1,197 were eligible for analysis and provided 3,446 person-years (PYs) of being on ART. Overall, 161 ADIs episodes were noted at a median of 3.20 months after ART initiation (range 0.03-75.8) with an incidence 46.7/1,000 PYs (95% confidence interval [CI] 39.8-54.5). The most common ADI was tuberculosis with an incidence of 29.9/1,000 PYs. Mortality after ART initiation was 8.68/1,000 PYs and 45% (19/45) died of AIDS-related illnesses. Age over 50 years at ART initiation was significantly associated with shorter survival after controlling for baseline CD4 count, but neither having injection drug use (IDU) history nor previous ADIs were associated with poor survival. Semi-competing risks analysis in 951 patients without ADIs history prior to ART showed those who developed ADIs after starting ART were at higher risk of death in the first six months than after six months.

conclusionADIs were not rare in spite of being on effective ART. Age over 50 years, but not IDU history, was associated with shorter survival in the cohort. This study provides in-depth data on the prognosis of patients on ART in Vietnam during the first decade of ART scale-up.

Indexed as

AdolescentAdultAgedAIDS-Related Opportunistic InfectionsAnti-HIV AgentsCause of DeathFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRetrospective StudiesVietnamAnti-HIV Agents

Identifiers

PMID26939050
PMCPMC4777554
OpenAlexW2290187994

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Registered trials

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.