Evidence map›Paper›PMID 26949313›Full record

ArticleEthiopian journal of health sciences2016

Immunological Response of Hiv-Infected Children to Highly Active Antiretoviral Therapy at Gondar University Hospital, North-Western Ethiopia.

Mehretie Kokeb, Getu Degu

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Mehretie KokebDepartment of Pediatrics and Child Health, University of Gondar, Ethiopia.
Getu DeguDepartment of Epidemiology and Biostastics, University of Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effectiveness of highly active antiretroviral therapy (HAART) in children has not been well studied specially in developing countries where the burden of HIV is high. This study was aimed to assess the immunologic response of HIV-infected children to HAART at Pediatric ART Clinic Gondar University Hospital.

methodsInstitution based cross-sectional study was conducted at the Pediatric ART Clinic Gondar University Hospital from March 01-April 30, 2014. The study included 283 HIV-infected children who were on HAART for 6 months and above. Medical records of HIV-infected children were reviewed using pre-tested questionnaire. CD4 count/percent was collected every 6 months retrospectively. For all statistical significance tests, the cut-off value was p<0.05. Poison Regression was used for further analysis.

resultsThe mean age of children was 6.9 years with a standard deviation of 3.4 years. The median CD4 count/percent was 232/13%, 450/21%, 540/25% and 608/27% at the time of initiation, 6, 12 and 18 months of ART, respectively. HAART initiated at higher CD4 count, good adherence and HIV status disclosure were found to have positive effects for immunological response.

conclusionThe study revealed that there was good Immunological response to ART, and that the maximum response was in the 1(st) 6 months of ART. Low CD4 count at initiation, undisclosed HIV status and lack of good adherence were found to cause low immunological response to HAART.

Indexed as

Antiretroviral Therapy, Highly ActiveAdolescentAnti-HIV AgentsCD4 Lymphocyte CountChildChild, PreschoolCross-Sectional StudiesEthiopiaFemaleHIV InfectionsHospitals, UniversityHumansInfantMaleMedication AdherenceRegression AnalysisAnti-HIV AgentsCD4HAARTImmunologic response

Identifiers

PMID26949313
PMCPMC4762956

What OpenQuestion holds

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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.