Evidence map›Paper›PMID 40470472›Full record

ArticleArXiv2025

In Silico Trials for Sex-Specific patient Inclusion Criteria in Cardiac Resynchronization Therapy: Advancing Precision in Heart Failure Treatment.

Shuang Qian, Devran Ugurlu, Elliot Fairweather, Richard E Jones, Hassan Zaidi, Sanjay Prasad, Brian P Halliday, Daniel J Hammersley, Gernot Plank, Edward Vigmond and 5 more

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2025. 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

15 authors.

Shuang QianNational Heart and Lung Institute, Imperial College London, London, UK.
Devran UgurluAlan Turing Institute, British Library, 96 Euston Rd, London, UK.
Elliot FairweatherDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Richard E JonesNational Heart and Lung Institute, Imperial College London, London, UK.
Hassan ZaidiDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Sanjay PrasadNational Heart and Lung Institute, Imperial College London, London, UK.
Brian P HallidayNational Heart and Lung Institute, Imperial College London, London, UK.
Daniel J HammersleyDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Gernot PlankGottfried Schatz Research Center, Division of Biophysics, Medical University of Graz, Graz, Austria.
Edward VigmondUniversity of Bordeaux, CNRS, Bordeaux, Talence, France.
Christopher A RinaldiDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Alistair YoungDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Pablo LamataDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Martin BishopDepartment of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, Kings College London, London, UK.
Steven NiedererAlan Turing Institute, British Library, 96 Euston Rd, London, UK.

Funding

Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial FibrillationR01HL152256 · NHLBI · STANFORD UNIVERSITY · PI ENNIS, DANIEL B · 2020 to 2023
$2.8M
NHLBI NIH HHS R01 HL152256Wellcome Trust
6 · The paper itself

Abstract

Cardiac resynchronization therapy (CRT) guidelines are based on clinical trials with limited female representation and inconsistent left bundle branch block (LBBB) definitions. Conventional QRS duration (QRSd) criteria show variable diagnostic accuracy between sexes, partly due to differences in heart size and remodeling. We evaluated the influence of sex, heart size, LBBB, and conduction delay on QRSd and assessed the diagnostic performance of conventional and indexed QRSd criteria using a population-based modelling approach. Simulated QRSd were derived from electrophysiological simulations conducted in 2627 UK Biobank healthy participants and 359 patients with ischemic heart disease, by modelling LBBB and normal activation combined with/without conduction delay. QRSd criteria under-selected LBBB females and over-selected non-LBBB patients. Indexing by LVEDV and LV mass reduced sex disparities but increased the over-selection in non-LBBB patients. Height-indexed QRSd effectively resolved sex differences and maintained low non-LBBB selection rates, demonstrating superior performance and potential for more equitable CRT selection.

Identifiers

PMID40470472
PMCPMC12136476

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.