Evidence map›Paper›PMID 33502122›Full record

Trial reportESC heart failure2021

High-protein vs. standard-protein diets in overweight and obese patients with heart failure and diabetes mellitus: findings of the Pro-HEART trial.

Lorraine S Evangelista, Mini M Jose, Hanaa Sallam, Hani Serag, George Golovko, Kamil Khanipov, Michele A Hamilton, Gregg C Fonarow

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 7 pooled it
–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

25 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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

8 authors.

Lorraine S EvangelistaSchool of Nursing, University of Texas Medical Branch, Galveston, TX, 77555-1132, USA.
Mini M JoseSchool of Nursing, University of Texas Medical Branch, Galveston, TX, 77555-1132, USA.
Hanaa SallamDiabetes Prevention and Care Program, University of Texas Medical Branch, Galveston, TX, USA.
Hani SeragDiabetes Prevention and Care Program, University of Texas Medical Branch, Galveston, TX, USA.
George GolovkoDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Kamil KhanipovDepartment of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Michele A HamiltonDepartment of Medicine/Cardiology, University of California, Los Angeles, Los Angeles, CA, USA.
Gregg C FonarowAhmanson-UCLA Cardiomyopathy Center and Cardiology, University of California, Los Angeles, Los Angeles, CA, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
Examining the Effects of High Protein Diet on Outcomes in Heart Failure PatientsR01HL093466 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EVANGELISTA, LORRAINE S · 2009 to 2013
$1.9M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001414NCATS NIH HHS UL1 TR001881NHLBI NIH HHS R01 HL093466
6 · The paper itself

Abstract

aimsThe intermediate-term effects of dietary protein on cardiometabolic risk factors in overweight and obese patients with heart failure and diabetes mellitus are unknown. We compared the effect of two calorie-restricted diets on cardiometabolic risk factors in this population. METHODS AND

resultsIn this randomized controlled study, 76 overweight and obese (mean weight, 107.8 ± 20.8 kg) patients aged 57.7 ± 9.7 years, 72.4% male, were randomized to a high-protein (30% protein, 40% carbohydrates, and 30% fat) or standard-protein diet (15% protein, 55% carbohydrates, and 30% fat) for 3 months. Reductions in weight and cardiometabolic risks were evaluated at 3 months. Both diets were equally effective in reducing weight (3.6 vs. 2.9 kg) and waist circumference (1.9 vs. 1.3 cm), but the high-protein diet decreased to a greater extent glycosylated haemoglobin levels (0.7% vs. 0.1%, P = 0.002), cholesterol (16.8 vs. 0.9 mg/dL, P = 0.031), and triglyceride (25.7 vs. 5.7 mg/dL, P = 0.032), when compared with the standard-protein diet. The high-protein diet also significantly improved both systolic and diastolic blood pressure than the standard-protein diet (P < 0.001 and P = 0.040, respectively).

conclusionsBoth energy-restricted diets reduced weight and visceral fat. However, the high-protein diet resulted in greater reductions in cardiometabolic risks relative to a standard-protein diet. These results suggest that a high-protein diet may be more effective in reducing cardiometabolic risk in this population, but further trials of longer duration are needed.

Indexed as

Diabetes MellitusHeart FailureFemaleHumansMaleObesityOverweightWeight LossCalorie-restricted dietDiabetesHeart failureHigh-protein dietObesityWeight loss

Identifiers

PMID33502122
PMCPMC8006643

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.