Evidence map›Paper›PMID 41551381›Full record

Trial reportCirculation. Population health and outcomes2026

Estimating the Placebo Effect on Patient-Reported Outcomes in Sham-controlled Device Trials: Insights from REDUCE LAP-HF II.

Andrew A Girard, Uma Mylavarapu, Jan Komtebedde, Suzanne V Arnold, Scott D Solomon, Martin B Leon, Dirk J Van Veldhuisen, Donald E Cutlip, Maja Cikes, Michael R Zile and 15 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation. Population health and outcomes, 2026. 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

25 authors.

Andrew A GirardUniversity of Missouri - Kansas City's Healthcare Institute for Innovations in Quality, Kansas City, MO.
Uma MylavarapuDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Jan KomtebeddeCorvia Medical, Inc. Tewksbury, MA.
Suzanne V ArnoldUniversity of Missouri - Kansas City's Healthcare Institute for Innovations in Quality, Kansas City, MO.
Scott D SolomonDivision of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Martin B LeonDepartment of Internal Medicine, Columbia University, New York City, NY.
Dirk J Van VeldhuisenDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen the Netherlands.
Donald E CutlipBaim Clinical Research Institute, Boston, MA.
Maja CikesDepartment of Cardiovascular Diseases, University of Zagreb School of Medicine, University Hospital Center, Zagreb, Croatia.
Michael R ZileMedical University of South Carolina, Charleston, SC; Ralph H. Johnson Veterans Administration Medical Center, Charleston, SC.
Finn GustafssonDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Scott M LillyDivision of Cardiovascular medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Andrew BoyleCardiology Department, John Hunter Hospital, Hunter New England Local Health District, Newcastle, Australia; School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia.
John G F ClelandSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
David M KayeDepartment of Cardiology - Alfred Health, Melbourne, VIC, Australia.
Sitaramesh EmaniDivision of Cardiovascular medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Deepak K GuptaVanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN.
Elke S HoendermisDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen the Netherlands.
James D FlahertyDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
David W MullerDepartment of Cardiology, St Vincent's Hospital, Sydney, NSW, Australia.
Samir R KapadiaHeart and Vascular Institute, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH.
Howard C HerrmannPerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
David J CohenCardiovascular Research Foundation, New York City, NY.
Sanjiv J ShahDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
John A SpertusUniversity of Missouri - Kansas City's Healthcare Institute for Innovations in Quality, Kansas City, MO.

Funding

HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targetsU54HL160273 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Abel N. Kho, Yuan Luo · 2021 to 2026
$19.0M
Improving Diagnostic Accuracy for Acute Heart FailureR01HL153607 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COLLINS, SEAN PATRICK, GUPTA, DEEPAK · 2021 to 2024
$5.9M
CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
Machine learning for the automated identification and tracking of rare myocardial diseasesR01HL140731 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MACRAE, CALUM A., SHAH, SANJIV J · 2018 to 2021
$2.8M
Tissue Sodium, Inflammation, and Blood Pressure in MESAR01HL133860 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GUPTA, DEEPAK, TITZE, JENS MARC · 2016 to 2019
$2.7M
Precision Medicine for Dilated Cardiomyopathy—Novel Assessment of Cardiac Mechanics via Speckle Tracking Echocardiography to Identify Early PhenotypesR01HL149423 · NHLBI · OHIO STATE UNIVERSITY · PI HERSHBERGER, RAY E., KINNAMON, DANIEL DAVIS · 2019 to 2022
$1.6M
BLRD VA I01 BX005848BLRD VA I01 BX005943NHLBI NIH HHS R01 HL133860NHLBI NIH HHS R01 HL140731NHLBI NIH HHS R01 HL149423NHLBI NIH HHS R01 HL153607NHLBI NIH HHS T32 HL110837NHLBI NIH HHS U54 HL160273
6 · The paper itself

Abstract

Background: Patient-reported outcomes (PROs) are increasingly used as endpoints in clinical trials. However, the magnitude of observed changes in control arms attributable to placebo effects, as compared with other benefits of trial participation, has not been described.This study seeks to estimate the magnitude of the placebo effect by calculating changes in Kansas City Cardiomyopathy Questionnaire Overall Summary (KCCQ-OS) scores, which quantify the impact of heart failure on patients' symptoms, function, and quality of life, after participants were unblinded to treatment. Methods: REDUCE LAP-HF II randomized participants to atrial shunt or sham procedure, with unblinding after 2 years. The KCCQ was collected at baseline, 2, and 3 years after randomization. KCCQ-OS change from baseline to 2 years (placebo effect plus other benefits from trial participation) and the change from 2 to 3 years (placebo effect loss after unblinding) were calculated in sham-treated patients using mean±SD, as were changes from 2 to 3 years in shunt-treated patients (placebo effect benefit). Results: The analytic cohort included 421 participants (median age 72 years, 65.6% female). Among sham-treated participants (N=182), the mean±SD KCCQ-OS 2-year improvement from baseline was +9.3±22.4 points, with a decrement after unblinding of -1.7±18.2 points from 2 to 3 years. Among shunt-treated patients (N=239), mean±SD KCCQ-OS 2-year improvement was +12.7±22.8 points, with an improvement after unblinding of +1.9±18.2 points. In a hypothetical unblinded trial where placebo effect benefit would be expected in the active intervention arm, and none in the untreated arm, the combined effects would be 3.6 points. Conclusions: In a sham-controlled device trial that collected PRO data during blinded allocation to treatment or sham and after unblinding, the estimated mean placebo effect benefit and loss on the KCCQ-OS were small (≤2 points). Finding a modest placebo effect on PROs may increase confidence in their use as clinical trial outcomes.

Indexed as

Heart FailurePatient Reported Outcome MeasuresPlacebo EffectAgedFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesTreatment Outcomedevice trialPatient reported outcomesplacebo effectunblinded

Identifiers

PMID41551381
PMCPMC12811010

What OpenQuestion holds

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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.