Evidence map›Paper›PMID 30943975›Full record

ArticleBMC public health2019

Noncommunicable disease burden among HIV patients in care: a national retrospective longitudinal analysis of HIV-treatment outcomes in Kenya, 2003-2013.

Dunstan Achwoka, Anthony Waruru, Tai-Ho Chen, Kenneth Masamaro, Evelyn Ngugi, Maureen Kimani, Irene Mukui, Julius O Oyugi, Regina Mutave, Thomas Achia and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
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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

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

52 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

13 authors.

Dunstan AchwokaDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya. yof4@cdc.gov.ORCID http://orcid.org/0000-0003-0267-7544
Anthony WaruruDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Tai-Ho ChenDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Kenneth MasamaroDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Evelyn NgugiDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Maureen KimaniNational AIDS and STI Control Program (NASCOP), Ministry of Health, Nairobi, Kenya.
Irene MukuiNational AIDS and STI Control Program (NASCOP), Ministry of Health, Nairobi, Kenya.
Julius O OyugiUniversity of Nairobi, Institute of Tropical and Infectious Diseases (UNITID), Nairobi, Kenya.
Regina MutaveUniversity of Nairobi, Institute of Tropical and Infectious Diseases (UNITID), Nairobi, Kenya.
Thomas AchiaDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Abraham KatanaDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Lucy Ng'ang'aDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Kevin M De CockDivision of Global HIV & TB, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.

Funding

CGH CDC HHS U19 GH000069CGH CDC HHS U2G GH001520
6 · The paper itself

Abstract

backgroundOver the last decade, the Kenyan HIV treatment program has grown exponentially, with improved survival among people living with HIV (PLHIV). In the same period, noncommunicable diseases (NCDs) have become a leading contributor to disease burden. We sought to characterize the burden of four major NCDs (cardiovascular diseases, cancer, chronic respiratory diseases and diabetes mellitus) among adult PLHIV in Kenya.

methodsWe conducted a nationally representative retrospective medical chart review of HIV-infected adults aged ≥15 years enrolled in HIV care in Kenya from October 1, 2003 through September 30, 2013. We estimated proportions of four NCD categories among PLHIV at enrollment into HIV care, and during subsequent HIV care visits. We compared proportions and assessed distributions of co-morbidities using the Chi-Square test. We calculated NCD incidence rates and their confidence intervals in assessing cofactors for developing NCDs.

resultsWe analyzed 3170 records of HIV-infected patients; 2115 (66.3%) were from women. Slightly over half (51.1%) of patient records were from PLHIVs aged above 35 years. Close to two-thirds (63.9%) of PLHIVs were on ART. Proportion of any documented NCD among PLHIV was 11.5% (95% confidence interval [CI] 9.3, 14.1), with elevated blood pressure as the most common NCD 343 (87.5%) among PLHIV with a diagnosed NCD. Despite this observation, only 17 (4.9%) patients had a corresponding documented diagnosis of hypertension in their medical record. Overall NCD incidence rates for men and women were (42.3 per 1000 person years [95% CI 35.8, 50.1] and 31.6 [95% CI 27.7, 36.1], respectively. Compared to women, the incidence rate ratio for men developing an NCD was 1.3 [95% CI 1.1, 1.7], p = 0.0082). No differences in NCD incidence rates were seen by marital or employment status. At one year of follow up 43.8% of PLHIV not on ART had been diagnosed with an NCD compared to 3.7% of patients on ART; at five years the proportions with a diagnosed NCD were 88.8 and 39.2% (p < 0.001), respectively. 

conclusionsPLHIV in Kenya have a high prevalence of NCD diagnoses. In the absence of systematic, effective screening, NCD burden is likely underestimated in this population. Systematic screening and treatment for NCDs using standard guidelines should be integrated into HIV care and treatment programs in sub-Saharan Africa.

Indexed as

Cardiovascular DiseasesDiabetes MellitusNeoplasmsRespiratory Tract DiseasesAdolescentAdultAgedComorbidityDelivery of Health CareFemaleHIVHIV InfectionsHumansHypertensionKenyaMaleAntiretroviral therapy (ART)ComorbiditiesHIVKenyaNoncommunicable diseases

Identifiers

PMID30943975
PMCPMC6448214

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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.