Evidence map›Paper›PMID 34898616›Full record

ArticlePloS one2021

Prevalence and predictive risk factors of hypertension in patients hospitalized in Kamenge Military hospital and Kamenge University teaching hospital in 2019: A fixed effect modelling study in Burundi.

Arnaud Iradukunda, Emmanuel Nene Odjidja, Stephane Karl Ndayishima, Egide Ngendakumana, Gabin Pacifique Ndayishimiye, Darlene Sinarinzi, Cheilla Izere, Nestor Ntakaburimvo, Arlene Akimana

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. 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

9 authors at 7 institutions in 4 countries.

Arnaud IradukundaDepartment of Medicine, University of Burundi, Bujumbura, Burundi.ORCID 0000-0002-0995-800X
Emmanuel Nene OdjidjaRoyal Society of Tropical Medicine and Hygiene, London, United Kingdom.
Stephane Karl NdayishimaDepartemend de Medecine, université Paris-Est-Créteil-Val-de-Marne, Créteil, France.
Egide NgendakumanaDepartment of Applied Econometrics, University of Lille, Villeneuve-d'Ascq, France.
Gabin Pacifique NdayishimiyeDepartment of Statistics, Lake Tanganyika University, Mutanga, Burundi.
Darlene SinarinziDepartment of Statistics, Lake Tanganyika University, Mutanga, Burundi.
Cheilla IzereDepartment of Research and Innovation, ARNECH Research and Consulting Office, Bujumbura, Burundi.
Nestor NtakaburimvoDepartment of Statistics, Lake Tanganyika University, Mutanga, Burundi.
Arlene AkimanaInstitut Universitaire des Sciences de la Santé et du Développement, Bujumbura, Burundi.
Lake Tanganyika Authority · BIUniversité du Burundi · BIRepublic of Burundi · BIRoyal Society of Tropical Medicine and Hygiene · GBUniversité Clermont Auvergne · FRUniversité de Lille · FRUniversité Paris-Est Créteil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertension is a major threat to public health globally. Especially in sub-Saharan African countries, this coexists with high burden of other infectious diseases, creating a complex public health situation which is difficult to address. Tackling this will require targeted public health intervention based on evidence that well defines the at risk population. In this study, using retrospective data from two referral hospitals in Burundi, we model the risk factors of hypertension in Burundi. MATERIALS AND

methodsRetrospective data of a sample of 353 randomly selected from a population of 4,380 patients admitted in 2019 in two referral hospitals in Burundi: Military and University teaching hospital of Kamenge. The predictive risk factors were carried out by fixed effect logistic regression. Model performance was assessed with Area under Curve (AUC) method. Model was internally validated using bootstrapping method with 2000 replications. Both data processing and data analysis were done using R software.

resultsOverall, 16.7% of the patients were found to be hypertensive. This study didn't showed any significant difference of hypertension's prevalences among women (16%) and men (17.7%). After adjustment of the model for cofounding covariates, associated risk factors found were advanced age (40-59 years) and above 60 years, high education level, chronic kidney failure, high body mass index, familial history of hypertension. In absence of these highlighted risk factors, the risk of hypertension occurrence was about 2 per 1000 persons. This probability is more than 90% in patients with more than three risk factors.

conclusionThe relatively high prevalence and associated risk factors of hypertension in Burundi raises a call for concern especially in this context where there exist an equally high burden of infectious diseases, other chronic diseases including chronic malnutrition. Targeting interventions based on these identified risk factors will allow judicious channel of resources and effective public health planning.

Indexed as

AdolescentAdultAge FactorsArea Under CurveBody Mass IndexBurundiEducational StatusFemaleHospitals, MilitaryHospitals, TeachingHumansHypertensionLogistic ModelsMaleMiddle AgedPrevalence

Identifiers

PMID34898616
PMCPMC8668094
OpenAlexW4200217388

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.