Evidence map›Paper›PMID 37461448›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Outcomes of Cardiac Resynchronization Therapy by New York Heart Association Class: A Patient-Level Meta-Analysis.

Nishkala Shivakumar, Daniel J Friedman, Marat Fudim, William T Abraham, John G F Cleland, Anne B Curtis, Michael R Gold, Valentina Kutyifa, Cecilia Linde, James Young and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 4 countries.

Nishkala ShivakumarDepartment of Medicine, Duke University School of Medicine, Durham, NC.
Daniel J FriedmanDivision of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC.
Marat FudimDivision of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC.
William T AbrahamDivision of Cardiovascular Medicine, The Ohio State University, Columbus, OH.
John G F ClelandNational Heart and Lung Institute, Royal Brompton & Harefield Hospitals, Imperial College, London, United Kingdom (J.G.F.C.).
Anne B CurtisDepartment of Medicine, University at Buffalo, Buffalo, NY.
Michael R GoldDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
Valentina KutyifaDivision of Cardiology, Department of Medicine, University of Rochester Medical Center Rochester, NY.
Cecilia LindeKarolinska Institutet and Department of Cardiology, Karolinska University, Stockholm, Sweden.
James YoungCleveland Clinic, Lerner College of Medicine of Case Western Reserve University, Cleveland, OH.
Anthony TangDepartment of Medicine, Western University, Ontario, Canada.
Antonio Olivas-MartinezDepartment of Biostatistics, University of Washington, Seattle, WA.
Lurdes Y T InoueDepartment of Biostatistics, University of Washington, Seattle, WA.
Gillian D SandersDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Sana M Al-KhatibDivision of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC.
Duke University · USUniversity of Washington · USCleveland Clinic Lerner College of Medicine · USHarefield Hospital · GBKarolinska University Hospital · SEMedical University of South Carolina · USThe Ohio State University · USUniversity at Buffalo, State University of New York · USUniversity of Rochester Medical Center · USWestern University · CA

Funding

Power of Bayesian Methods, RCTs, and Decision Models to Inform CRT UncertaintiesR01HL131754 · NHLBI · DUKE UNIVERSITY · PI SCHMIDLER, GILLIAN SANDERS · 2017 to 2020
$2.7M
NHLBI NIH HHS R01 HL131754
6 · The paper itself

Abstract

Data on the benefits of cardiac resynchronization therapy (CRT) in patients with severe heart failure (HF) symptoms are limited. We investigated the relative effects of CRT in patients with ambulatory NYHA IV vs. III functional class at the time of device implantation. In this meta-analysis, we pooled patient-level data from the MIRACLE, MIRACLE-ICD, and COMPANION trials. Outcomes evaluated were time to the composite endpoint of first HF hospitalization (HFH) or all-cause mortality and time to all-cause mortality alone. The association between CRT and outcomes was evaluated using a Bayesian Hierarchical Weibull survival regression model. We assessed if this association differs between NYHA III and IV groups by adding an interaction term between CRT and NYHA class as a random effect. A sensitivity analysis was performed by including data from the RAFT trial. Our pooled analysis included 2309 patients. Overall, CRT was associated with a longer time to HFH or all-cause mortality (adjusted hazard ratio [aHR] 0.79, 95%CI 0.64 - 0.99, p = 0.044), with a similar association with time to all-cause mortality (aHR 0.78, 95% CI 0.59 - 1.03, p = 0.083). Associations of CRT with outcomes were not significantly different for those in NYHA III and IV classes (ratio of aHR 0.72, 95% CI 0.30 - 1.27, p = 0.23 for HFH/mortality; ratio of aHR 0.70, 95% CI 0.35 - 1.34, p = 0.27 for all-cause mortality alone). The sensitivity analysis, including RAFT data, did not show a significant relative CRT benefit between NYHA III and IV classes. Overall, there was no significant difference in the association of CRT with either outcome for patients in NYHA functional class III compared with functional class IV.

Identifiers

PMID37461448
PMCPMC10350149
OpenAlexW4383311941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.