Evidence map›Paper›PMID 30092411›Full record

Trial reportAmerican heart journal2018

A randomized controlled crossover trial evaluating differential responses to antihypertensive drugs (used as mono- or dual therapy) on the basis of ethnicity: The comparIsoN oF Optimal Hypertension RegiMens; part of the Ancestry Informative Markers in HYpertension program-AIM-HY INFORM trial.

Omar Mukhtar, Joseph Cheriyan, John R Cockcroft, David Collier, James M Coulson, Indranil Dasgupta, Luca Faconti, Mark Glover, Anthony M Heagerty, Teck K Khong and 13 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in American heart journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. How useful is a casual BP measurement?Clinical medicine (London, England) · 2026
    Review
  3. Pitfalls in the pharmacotherapy of hypertension.Clinical medicine (London, England) · 2026
    Review
  4. Article
  5. Personalized hypertension treatment recommendations by a data-driven model.BMC medical informatics and decision making · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Observational
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
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

23 authors.

Omar MukhtarExperimental Medicine & Immunotherapeutics Division, Department of Medicine, University of Cambridge, Cambridge, United Kingdom. Electronic address: om319@medschl.cam.ac.uk.
Joseph CheriyanExperimental Medicine & Immunotherapeutics Division, Department of Medicine, University of Cambridge, and Cambridge, and Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
John R CockcroftDepartment of Cardiology, Columbia University Medical Center, New York.
David CollierWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, London, United Kingdom.
James M CoulsonSchool of Medicine, Cardiff University, Heath Park Campus, Cardiff, United Kingdom.
Indranil DasguptaDepartment of Renal Medicine, Heartlands Hospital, Birmingham, United Kingdom.
Luca FacontiDepartment of Clinical Pharmacology, King's College London, British Heart Foundation Centre, London, United Kingdom.
Mark GloverDivision of Therapeutics and Molecular Medicine, University of Nottingham, and NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom.
Anthony M HeagertyDivision of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom.
Teck K KhongBlood Pressure Unit, Cardiology Clinical Academic Group, St George's University of London, Cranmer Terrace, London, United Kingdom.
Gregory Y H LipInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.
Adrian P ManderMedical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Mellone N MarchongOffice for Translational Research, Cambridge University Health Partners and University of Cambridge, Cambridge, United Kingdom.
Una MartinInstitute of Clinical Sciences, University of Birmingham, Birmingham, United Kingdom.
Barry J McDonnellDepartment of Biomedical Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom.
Carmel M McEnieryExperimental Medicine & Immunotherapeutics Division, Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
Sandosh PadmanabhanInstitute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Manish SaxenaWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, London, United Kingdom.
Peter J SeverFaculty of Medicine, National Heart & Lung Institute, Imperial College London, London, United Kingdom.
Julian I ShielWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry, London, United Kingdom.
Julie WychMedical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Phil J ChowienczykDepartment of Clinical Pharmacology, King's College London, British Heart Foundation Centre, London, United Kingdom.
Ian B WilkinsonExperimental Medicine & Immunotherapeutics Division, Department of Medicine, University of Cambridge, and Cambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.

Funding

British Heart Foundation FS/07/001/21990British Heart Foundation FS/12/33/29561British Heart Foundation FS/12/8/29377British Heart Foundation SP/14/8/31352Medical Research Council G510364Medical Research Council MC_UU_00002/3Medical Research Council MR/L006162/1Medical Research Council MR/M016560/1
6 · The paper itself

Abstract

backgroundEthnicity, along with a variety of genetic and environmental factors, is thought to influence the efficacy of antihypertensive therapies. Current UK guidelines use a "black versus white" approach; in doing so, they ignore the United Kingdom's largest ethnic minority: Asians from South Asia. STUDY

designThe primary purpose of the AIM-HY INFORM trial is to identify potential differences in response to antihypertensive drugs used as mono- or dual therapy on the basis of self-defined ethnicity. A multicenter, prospective, open-label, randomized study with 2 parallel, independent trial arms (mono- and dual therapy), AIM-HY INFORM plans to enroll a total of 1,320 patients from across the United Kingdom. Those receiving monotherapy (n = 660) will enter a 3-treatment (amlodipine 10 mg od; lisinopril 20 mg od; chlorthalidone 25 mg od), 3-period crossover, lasting 24 weeks, whereas those receiving dual therapy (n = 660) will enter a 4-treatment (amlodipine 5 mg od and lisinopril 20 mg od; amlodipine 5 mg od and chlorthalidone 25 mg od; lisinopril 20 mg od and chlorthalidone 25 mg od; amiloride 10 mg od and chlorthalidone 25 mg od), 4-period crossover, lasting 32 weeks. Equal numbers of 3 ethnic groups (white, black/black British, and Asian/Asian British) will ultimately be recruited to each of the trial arms (ie, 220 participants per ethnic group per arm). Seated, automated, unattended, office, systolic blood pressure measured 8 weeks after each treatment period begins will serve as the primary outcome measure.

conclusionAIM-HY INFORM is a prospective, open-label, randomized trial which aims to evaluate first- and second-line antihypertensive therapies for multiethnic populations.

Indexed as

AdolescentAdultAgedAmlodipineAntihypertensive AgentsAsian PeopleBlack PeopleChlorthalidoneCross-Over StudiesDrug Administration ScheduleDrug Therapy, CombinationHemodynamicsHumansHypertensionLisinoprilMiddle AgedAmlodipineAntihypertensive AgentsChlorthalidoneLisinopril

Identifiers

PMID30092411
PMCPMC6234107

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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.