Evidence map›Paper›PMID 36417391›Full record

ArticlePloS one2022

A national household survey on HIV prevalence and clinical cascade among children aged ≤15 years in Kenya (2018).

Immaculate Mutisya, Evelyn Muthoni, Raphael O Ondondo, Jacques Muthusi, Lennah Omoto, Charlotte Pahe, Abraham Katana, Evelyn Ngugi, Kenneth Masamaro, Leonard Kingwara and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

18 authors at 3 institutions in 2 countries.

Immaculate MutisyaDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID 0000-0002-1341-5374
Evelyn MuthoniNational AIDS & STI Control Programme, Ministry of Health, Nairobi, Kenya.
Raphael O OndondoDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Jacques MuthusiDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Lennah OmotoDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Charlotte PaheNational AIDS & STI Control Programme, Ministry of Health, Nairobi, Kenya.
Abraham KatanaDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Evelyn NgugiDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Kenneth MasamaroDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Leonard KingwaraNational AIDS & STI Control Programme, Ministry of Health, Nairobi, Kenya.
Trudy DobbsDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America.ORCID 0000-0002-3289-6011
Megan BronsonDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Hetal K PatelDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
Nicholas SeweNational AIDS & STI Control Programme, Ministry of Health, Nairobi, Kenya.
Doris NaitoreInternational Center for AIDS Care and Treatment Programs, Nairobi, Kenya.
Kevin De CockDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Catherine NgugiNational AIDS & STI Control Programme, Ministry of Health, Nairobi, Kenya.
Lucy NgangaDivision of Global HIV & TB, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Centers for Disease Control and Prevention · KEMinistry of Health · KECenters for Disease Control and Prevention · US

Funding

CGH CDC HHS U2G GH001226
6 · The paper itself

Abstract

We analyzed data from the 2018 Kenya Population-Based HIV Impact Assessment (KENPHIA), a cross-sectional, nationally representative survey, to estimate the burden and prevalence of pediatric HIV infection, identify associated factors, and describe the clinical cascade among children aged < 15 years in Kenya. Interviewers collected information from caregivers or guardians on child's demographics, HIV testing, and treatment history. Blood specimens were collected for HIV serology and if HIV-positive, the samples were tested for viral load and antiretrovirals (ARV). For participants <18 months TNA PCR is performed. We computed weighted proportions with 95% confidence intervals (CI), accounting for the complex survey design. We used bivariable and multivariable logistic regression to assess factors associated with HIV prevalence. Separate survey weights were developed for interview responses and for biomarker testing to account for the survey design and non-response. HIV burden was estimated by multiplying HIV prevalence by the national population projection by age for 2018. Of 9072 survey participants (< 15 years), 87% (7865) had blood drawn with valid HIV test results. KENPHIA identified 57 HIV-positive children, translating to an HIV prevalence of 0.7%, (95% CI: 0.4%-1.0%) and an estimated 138,900 (95% CI: 84,000-193,800) of HIV among children in Kenya. Specifically, children who were orphaned had about 2 times higher odds of HIV-infection compared to those not orphaned, adjusted Odds Ratio (aOR) 2.2 (95% CI:1.0-4.8). Additionally, children whose caregivers had no knowledge of their HIV status also had 2 times higher odds of HIV-infection compared to whose caregivers had knowledge of their HIV status, aOR 2.4 (95% CI: 1.1-5.4)". From the unconditional analysis; population level estimates, 78.9% of HIV-positive children had known HIV status (95% CI: 67.1%-90.2%), 73.6% (95% CI: 60.9%-86.2%) were receiving ART, and 49% (95% CI: 32.1%-66.7%) were virally suppressed. However, in the clinical cascade for HIV infected children, 92% (95% CI: 84.4%-100%) were receiving ART, and of these, 67.1% (95% CI: 45.1%-89.2%) were virally suppressed. The KENPHIA survey confirms a substantial HIV burden among children in Kenya, especially among orphans.

Indexed as

HIV InfectionsChildCross-Sectional StudiesHIV TestingHumansKenyaPrevalence

Identifiers

PMID36417391
PMCPMC9683548
OpenAlexW4309865503

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.