Literature DB >> 26048380

A new method of applying randomised control study data to the individual patient: A novel quantitative patient-centred approach to interpreting composite end points.

Yousif Ahmad1, Sukhjinder Nijjer1, Christopher M Cook1, Majd El-Harasis1, John Graby1, Ricardo Petraco1, Tushar Kotecha1, Christopher S Baker1, Iqbal S Malik1, Michael F Bellamy1, Amarjit Sethi1, Ghada W Mikhail1, Mahmud Al-Bustami1, Masood Khan1, Raffi Kaprielian1, Rodney A Foale1, Jamil Mayet1, Justin E Davies1, Darrel P Francis1, Sayan Sen2.   

Abstract

BACKGROUND: Modern randomised controlled trials typically use composite endpoints. This is only valid if each endpoint is equally important to patients but few trials document patient preference and seek the relative importance of components of combined endpoints. If patients weigh endpoints differentially, our interpretation of trial data needs to be refined. METHODS AND
RESULTS: We derive a quantitative, structured tool to determine the relative importance of each endpoint to patients. We then apply this tool to data comparing angioplasty with drug-eluting stents to bypass surgery. The survey was administered to patients undergoing cardiac catheterisation. A meta-analysis comparing coronary artery bypass grafting (CABG) to percutaneous coronary interventuin (PCI) was then performed using (a) standard MACE and (b) patient-centred MACE. Patients considered stroke worse than death (stroke 102.3 ± 19.6%, p < 0.01), and MI and repeat revascularisation less severe than death (61.9 ± 26.8% and 41.9 ± 25.4% respectively p < 0.01 for both). 7 RCTs (5251 patients) were eligible. Meta-analysis demonstrated that standard MACE occurs more frequently with PCI than surgery (OR 1.44; 95% CI 1.10 to 1.87; p = 0.007). Re-analysis using patient-centred MACE found no significant difference between PCI and CABG (OR 1.22, 95% CI 0.97 to 1.53; p = 0.10).
CONCLUSIONS: Patients do not consider the constituent endpoints of MACE equal. We derive a novel patient-centred metric that recognises and quantifies the differences attributed to each endpoint. When patient preference data are applied to contemporary trial results, there is no significant difference between PCI and CABG. Responses from individual patients in clinic could be used to give individual patients a recommendation that is truly personalised.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Angioplasty; CABG; Drug eluting stents; MACE; Meta-analysis; Randomised control trials

Mesh:

Year:  2015        PMID: 26048380     DOI: 10.1016/j.ijcard.2015.05.109

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

1.  An optimal Wilcoxon-Mann-Whitney test of mortality and a continuous outcome.

Authors:  Roland A Matsouaka; Aneesh B Singhal; Rebecca A Betensky
Journal:  Stat Methods Med Res       Date:  2016-12-29       Impact factor: 3.021

Review 2.  The Application of Preference Elicitation Methods in Clinical Trial Design to Quantify Trade-Offs: A Scoping Review.

Authors:  Megan Thomas; Deborah A Marshall; Daksh Choudhary; Susan J Bartlett; Adalberto Loyola Sanchez; Glen S Hazlewood
Journal:  Patient       Date:  2021-12-20       Impact factor: 3.481

3.  Patent foramen ovale closure vs. medical therapy for cryptogenic stroke: a meta-analysis of randomized controlled trials.

Authors:  Yousif Ahmad; James P Howard; Ahran Arnold; Matthew Shun Shin; Christopher Cook; Ricardo Petraco; Ozan Demir; Luke Williams; Juan F Iglesias; Nilesh Sutaria; Iqbal Malik; Justin Davies; Jamil Mayet; Darrel Francis; Sayan Sen
Journal:  Eur Heart J       Date:  2018-05-07       Impact factor: 35.855

4.  Patient and physician preferences for attributes of coronary revascularization.

Authors:  Carlos Alberto da Silva Magliano; Andrea Liborio Monteiro; Bernardo Rangel Tura; Claudia Silvia Rocha Oliveira; Amanda Rebeca de Oliveira Rebelo; Claudia Cristina de Aguiar Pereira
Journal:  Patient Prefer Adherence       Date:  2018-05-08       Impact factor: 2.711

Review 5.  Patients' preferences for coronary revascularization: a systematic review.

Authors:  Carlos Alberto da Silva Magliano; Andrea Libório Monteiro; Amanda Rebeca de Oliveira Rebelo; Claudia Cristina de Aguiar Pereira
Journal:  Patient Prefer Adherence       Date:  2018-12-24       Impact factor: 2.711

6.  Embolic Protection with the TriGuard 3 System in Nonagenarian Patients Undergoing Transcatheter Aortic Valve Replacement for Severe Aortic Stenosis.

Authors:  Alexander Lind; Rolf Alexander Jánosi; Matthias Totzeck; Arjang Ruhparwar; Tienush Rassaf; Fadi Al-Rashid
Journal:  J Clin Med       Date:  2022-04-02       Impact factor: 4.241

7.  Aortic Valve Calcium Score Is Associated With Acute Stroke in Transcatheter Aortic Valve Replacement Patients.

Authors:  Michael Foley; Kerry Hall; James P Howard; Yousif Ahmad; Manisha Gandhi; Samir Mahboobani; Joseph Okafor; Haseeb Rahman; Nearchos Hadjiloizou; Neil Ruparelia; Ghada Mikhail; Iqbal Malik; Gajen Kanaganayagam; Nilesh Sutaria; Bushra Rana; Ben Ariff; Edward Barden; Jonathan Anderson; Jonathan Afoke; Ricardo Petraco; Rasha Al-Lamee; Sayan Sen
Journal:  J Soc Cardiovasc Angiogr Interv       Date:  2022-05-12

8.  Are component endpoints equal? A preference study into the practice of composite endpoints in clinical trials.

Authors:  Melissa C W Vaanholt; Marlies M Kok; Clemens von Birgelen; Marieke G M Weernink; Janine A van Til
Journal:  Health Expect       Date:  2018-08-14       Impact factor: 3.377

  8 in total

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