Evidence map›Paper›PMID 28160044›Full record

ArticleInternational journal of public health2017

Clinical characteristics of pediatric HIV-1 patients treated with first-line antiretroviral therapy in Vietnam: a nested case-control study.

Minh Diem Dang, Duc Minh Nguyen, Huu Bich Tran, Viet Hung Pham, Daryl Spak, Linh Chi Pham, Thi Quynh Phan, Thi Thanh Dinh, Thi Kim Anh Le, Van Lam Nguyen and 3 more

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Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Minh Diem DangHanoi University of Public Health, Hanoi, Vietnam.
Duc Minh NguyenNational Hospital of Acupuncture, Hanoi, Vietnam.
Huu Bich TranHanoi University of Public Health, Hanoi, Vietnam.
Viet Hung PhamVietnam National Hospital of Pediatrics, Hanoi, Vietnam.
Daryl SpakUniversity of Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
Linh Chi PhamUniversity of Washington, Seattle, Washington, USA.
Thi Quynh PhanHanoi University of Public Health, Hanoi, Vietnam.
Thi Thanh DinhHanoi University of Public Health, Hanoi, Vietnam.
Thi Kim Anh LeHanoi University of Public Health, Hanoi, Vietnam.
Van Lam NguyenNational Hospital of Acupuncture, Hanoi, Vietnam.
Thanh Hai LeNational Hospital of Acupuncture, Hanoi, Vietnam.
Son Ngoc HoangViet Duc Hospital, Hanoi, Vietnam.
Vu Phuong Linh DangHanoi University of Public Health, Hanoi, Vietnam. dvpl@huph.edu.vn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOver the past decades, Vietnam has made great strides in reducing the rate of mortality in HIV-related deaths, due to increased access of antiretroviral therapy (ART); however, given the significantly high level of treatment failure (TF), it is essential to identify markers that describe the failure of ART in HIV-1 infected children.

methodsA nested case-control study was conducted with clinical data collected from 101 HIV-infected children [26 TF and 75 treatment success (TS)] at National Hospital of Pediatrics, Vietnam (2008-2012).

resultsThe results showed that certain factors including height, weight, vaccination with Hepatitis B, and platelet were significantly different between TF and TS before starting the treatment. In addition, age to start the treatment, CD4 percentage, and opportunistic infection were found to significantly predict treatment outcome most frequently, implying the importance of clinical markers in the treatment response by Cox regression analysis.

conclusionsThere is an inherent complexity within clinical markers that is challenging to determine HIV-pediatric failure and further research is needed to build a complete picture to guide clinical, evidence-based practice.

Indexed as

HIV-1Treatment FailureAge FactorsAIDS-Related Opportunistic InfectionsAnti-HIV AgentsCase-Control StudiesCD4 Lymphocyte CountChildChild, PreschoolFemaleHepatitis B VaccinesHIV InfectionsHumansInfantMalePlatelet CountAnti-HIV AgentsHepatitis B VaccinesARTHIV-1PediatricTreatment failure

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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.