Genetic Variation in

Jonathan N Katsukunya, Erika Jones, Nyarai D Soko, Dirk Blom, Phumla Sinxadi, Brian Rayner, Collet Dandara

Abstract read

In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jonathan N KatsukunyaDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa.ORCID 0000-0002-6812-6676

Erika JonesSAMRC/UCT Platform for Pharmacogenomics Research and Translation, South African Medical Research Council, Cape Town 7501, South Africa.

Nyarai D SokoDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa.ORCID 0000-0003-1250-8293

Dirk BlomSAMRC/UCT Platform for Pharmacogenomics Research and Translation, South African Medical Research Council, Cape Town 7501, South Africa.

Phumla SinxadiSAMRC/UCT Platform for Pharmacogenomics Research and Translation, South African Medical Research Council, Cape Town 7501, South Africa.

Brian RaynerSAMRC/UCT Platform for Pharmacogenomics Research and Translation, South African Medical Research Council, Cape Town 7501, South Africa.ORCID 0000-0002-0167-9591

Collet DandaraDivision of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa.ORCID 0000-0002-5925-4895

Funding

South African Medical Research Council Research reported in this publication was supported by the South African Medical Re-search Council (SAMRC) with funds received from the South African Department of Sci-ence and Innovation.

6 · The paper itself

Abstract

Resistant hypertension (RHTN) prevalence ranges from 4 to 19% in Africa. There is a paucity of data on the role of genetic variation on RHTN among Africans. We set out to investigate the role of polymorphisms in

Indexed as

Africansantihypertensive drugshypertensionpharmacogenomicsresistant hypertension

Identifiers

PMID39063918

DOI10.3390/jpm14070664

PMCPMC11277774

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.