Evidence mapPaperPMID 33917487Full record

ReviewGenes2021

Hypertension in African Populations: Review and Computational Insights.

Sihle E Mabhida, Lebohang Mashatola, Mandeep Kaur, Jyoti R Sharma, Teke Apalata, Babu Muhamed, Mongi Benjeddou, Rabia Johnson

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. No Association BetweenDiabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  8. Genetic Variations inJournal of clinical medicine · 2023
    Article
  9. Review
  10. Review
  11. Article
  12. The association ofFrontiers in genetics · 2022
    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

8 authors at 5 institutions in 2 countries.

Sihle E MabhidaBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.
Lebohang MashatolaSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa.
Mandeep KaurSchool of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa.ORCID 0000-0002-9757-4048
Jyoti R SharmaBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.
Teke ApalataDivision of Medical Microbiology, Department of Laboratory-Medicine and Pathology, Faculty of Health Sciences, Walter Sisulu University and National Health Laboratory Services, Mthatha 5100, South Africa.
Babu MuhamedHatter Institute for Cardiovascular Diseases Research in Africa, Department of Medicine, University of Cape Town, Cape Town 7535, South Africa.ORCID 0000-0003-4832-0671
Mongi BenjeddouDepartment of Biotechnology, Faculty of Natural Science, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa.
Rabia JohnsonBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0002-6328-0789
South African Medical Research Council · ZAUniversity of the Witwatersrand · ZAChildren's National · USNational Health Laboratory Service · ZAUniversity of the Western Cape · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension (HTN) is a persistent public health problem affecting approximately 1.3 billion individuals globally. Treatment-resistant hypertension (TRH) is defined as high blood pressure (BP) in a hypertensive patient that remains above goal despite use of ≥3 antihypertensive agents of different classes including a diuretic. Despite a plethora of treatment options available, only 31.0% of individuals have their HTN controlled. Interindividual genetic variability to drug response might explain this disappointing outcome because of genetic polymorphisms. Additionally, the poor knowledge of pathophysiological mechanisms underlying hypertensive disease and the long-term interaction of antihypertensive drugs with blood pressure control mechanisms further aggravates the problem. Furthermore, in Africa, there is a paucity of pharmacogenomic data on the treatment of resistant hypertension. Therefore, identification of genetic signals having the potential to predict the response of a drug for a given individual in an African population has been the subject of intensive investigation. In this review, we aim to systematically extract and discuss African evidence on the genetic variation, and pharmacogenomics towards the treatment of HTN. Furthermore, in silico methods are utilized to elucidate biological processes that will aid in identifying novel drug targets for the treatment of resistant hypertension in an African population. To provide an expanded view of genetic variants associated with the development of HTN, this study was performed using publicly available databases such as PubMed, Scopus, Web of Science, African Journal Online, PharmGKB searching for relevant papers between 1984 and 2020. A total of 2784 articles were reviewed, and only 42 studies were included following the inclusion criteria. Twenty studies reported associations with HTN and genes such as

Indexed as

Genetic Predisposition to DiseasePharmacogeneticsPolymorphism, GeneticAfricaAntihypertensive AgentsBlack PeopleComputational BiologyHumansHypertensionRisk FactorsAntihypertensive AgentsAfricagenetic variationhypertensionpharmacogenomicssingle-nucleotide polymorphism

Identifiers

PMID33917487
PMCPMC8067483
OpenAlexW3141965948

What Socratic holds

Textmetadata
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 Socratic graph.