A Meta-Analysis of Remote Monitoring of Heart Failure Patients
Catherine Klersy, MD, MSc*,*,
Annalisa De Silvestri, MSc*,
Gabriella Gabutti, MA ,
François Regoli, MD*, and
Angelo Auricchio, MD
* Service of Biometry and Clinical Epidemiology, Scientific Direction Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
Scientific Documentation Center, Scientific Direction Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
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Figure 3 Forrest Plots for the Analysis of the Primary End Point
(A) Association of remote patient monitoring (RPM) and death. (B) Association of RPM and hospitalization. (C) Association of RPM and hospitalization for heart failure. (D) Association of RPM and the combined end point of death and first hospitalization. The vertical line corresponds to a relative risk (RR) of 1 (no effect); RRs to the left indicate that RPM reduces risk; RRs to the right indicate that RPM increases risk. The pooled estimates are indicated by a diamond (fixed effects above; random effects below). CI = confidence interval; D+L = DerSimoniam and Laird random-effects method; M-H = Mantel and Haenszel fixed-effects method.
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Figure 4 Forrest Plots for the Analysis of the Primary End Point in a Between-Arm Design Cohort
(A) Association of RPM and death. (B) Association of RPM and hospitalization. See Figure 3 for explanation.
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