Evidence map›Paper›PMID 35342886›Full record

ArticleKidney3602022

Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study.

Michael T Eadon, Judith Maddatu, Sharon M Moe, Arjun D Sinha, Ricardo Melo Ferreira, Brent W Miller, S Jawad Sher, Jing Su, Victoria M Pratt, Arlene B Chapman and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Kidney360, 2022. 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
2.8field-weighted citation impact, top 10% 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, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Michael T EadonDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-3066-2876
Judith MaddatuDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-0119-097X
Sharon M MoeDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Arjun D SinhaDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Ricardo Melo FerreiraDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Brent W MillerDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
S Jawad SherDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-4917-6173
Victoria M PrattDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-2871-5051
Arlene B ChapmanDepartment of Medicine, University of Chicago, Chicago, Illinois.
Todd C SkaarDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Ranjani N MoorthiDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Indiana University School of MedicineRichard L. Roudebush VA Medical Center · USUniversity of Chicago · US

Funding

Resource CoreP30AR072581 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Sharon M Moe · 2017 to 2026
$8.3M
Longitudinal Assessment of Skeletal Muscle Physiology in Dialysis PatientsK23DK102824 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORTHI, RANJANI N. · 2015 to 2019
$892k
Acute inhibition of renal gene expression to prevent nephrotoxicity.K08DK107864 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EADON, MICHAEL THOMAS · 2016 to 2020
$772k
Sarcopenia: computable phenotypes and clinical outcomes.R01AR077273 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI IMEL, ERIK ALLEN · 2020 to 2022
$577k
NIAMS NIH HHS P30 AR072581NIAMS NIH HHS R01 AR077273NIDDK NIH HHS K08 DK107864NIDDK NIH HHS K23 DK102824
6 · The paper itself

Abstract

Background: Patients with CKD often have uncontrolled hypertension despite polypharmacy. Pharmacogenomic drug-gene interactions (DGIs) may affect the metabolism or efficacy of antihypertensive agents. We report changes in hypertension control after providing a panel of 11 pharmacogenomic predictors of antihypertensive response. Methods: A prospective cohort with CKD and hypertension was followed to assess feasibility of pharmacogenomic testing implementation, self-reported provider utilization, and BP control. The analysis population included 382 subjects with hypertension who were genotyped for cross-sectional assessment of DGIs, and 335 subjects followed for 1 year to assess systolic BP (SBP) and diastolic BP (DBP). Results: Most participants (58%) with uncontrolled hypertension had a DGI reducing the efficacy of one or more antihypertensive agents. Subjects with a DGI had 1.85-fold (95% CI, 1.2- to 2.8-fold) higher odds of uncontrolled hypertension, as compared with those without a DGI, adjusted for race, health system (safety-net hospital versus other locations), and advanced CKD (eGFR <30 ml/min). Conclusions: There is a potential role for the addition of pharmacogenomic testing to optimize antihypertensive regimens in patients with CKD.

Indexed as

HypertensionRenal Insufficiency, ChronicCross-Sectional StudiesHumansPharmacogeneticsProspective Studies

Identifiers

PMID35342886
PMCPMC8953763
OpenAlexW4220780624

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.