Evidence map›Paper›PMID 31771921›Full record

Trial reportJournal of clinical lipidology

Impact on cardiometabolic risk of a weight loss intervention with higher protein from lean red meat: Combined results of 2 randomized controlled trials in obese middle-aged and older adults.

Kathryn N Porter Starr, Margery A Connelly, Melissa C Orenduff, Shelley R McDonald, Richard Sloane, Kim M Huffman, William E Kraus, Connie W Bales

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
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  9. Review
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  12. Article
  13. Dietary protein intake and obesity-associated cardiometabolic function.Current opinion in clinical nutrition and metabolic care · 2020
    Review
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 at 3 institutions in 1 country.

Kathryn N Porter StarrCenter for the Study of Aging, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC, USA. Electronic address: kathryn.starr@dm.duke.edu.
Margery A ConnellyLaboratory Corporation of America Holdings (LabCorp), Morrisville, NC, USA.
Melissa C OrenduffCenter for the Study of Aging, Duke University School of Medicine, Durham, NC, USA.
Shelley R McDonaldCenter for the Study of Aging, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC, USA.
Richard SloaneCenter for the Study of Aging, Duke University School of Medicine, Durham, NC, USA; Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC, USA.
Kim M HuffmanDepartment of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
William E KrausDepartment of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Connie W BalesCenter for the Study of Aging, Duke University School of Medicine, Durham, NC, USA; Department of Medicine, Duke University School of Medicine, Durham, NC, USA; Geriatric Research, Education, and Clinical Center, Durham VA Medical Center, Durham, NC, USA.
Duke University · USGeriatric Research Education and Clinical Center · USLabCorp (United States) · US

Funding

BEHAVIOR AND PHYSIOLOGY IN AGINGT32AG000029 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 1985 to 2026
$9.3M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
Enhanced Protein Intake During Obesity Reduction in Older Male Veterans: Differences in Physical Function and Muscle Quality Responses by RaceI01RX002843 · VA · DURHAM VA MEDICAL CENTER · PI BALES, CONNIE W · 2019 to 2023
–
Nutritional (High Protein) Perihabilitation in Older Veterans Undergoing SurgeryIK2RX002348 · VA · DURHAM VA MEDICAL CENTER · PI STARR, KATHRYN N · 2017 to 2021
–
NCI NIH HHS T32 CA057726NIA NIH HHS T32 AG000029RRD VA I01 RX002843RRD VA IK2 RX002348
6 · The paper itself

Abstract

backgroundThe recognized benefits of a higher protein diet on muscle mass and strength in older adults are tempered by concerns of the potentially negative cardiometabolic impact of dietary sources of animal protein.

objectiveThe aim of this study was to explore the cardiometabolic impact of 2 weight reduction diets: a higher protein diet, providing balanced portions of lean beef and pork throughout the day, vs. a diet following the Recommended Daily Allowance level of protein in obese middle-aged and older adults.

methodsData from Measuring Eating, Activity and Strength: Understanding the Response-Using Protein and Protein Optimization in Women Enables Results-Using Protein were combined for the present analysis. Subjects were randomly assigned to a 6-month weight loss diet (500 kcal deficit) and prescribed a Recommended Daily Allowance level of protein (0.8 g protein/kg BW), control group, or a higher level of protein (1.2 g protein/kg BW), protein group. For the protein group, lean, high-quality protein was evenly distributed between meals or balanced throughout the day (30 g protein/meal). The following cardiometabolic markers were quantified by nuclear magnetic resonance spectroscopy: lipids, lipoproteins, GlycA, trimethylamine-N-oxide, betaine, branched-chain amino acids, and lipoprotein insulin resistance index scores.

resultsIn both groups (control [n = 27] and protein [n = 53]), there were significant (P ≤ .05) changes from baseline in weight loss (-6.2% and -7.2%), distance walked (+53.1 and +75.0 meters), and fasting plasma glucose (-7.5 and -6.2 mg/dL), respectively. At endpoint, protein group had significantly (P ≤ .05) lower triglycerides (-17.3 mg/dL), large very-low-density lipoprotein particle concentration (VLDL-P; -1.2 nmol/L), total low-density lipoprotein particle concentration (LDL-P; -67.8 nmol/L), small LDL-P (-59.4 nmol/L) and lipoprotein insulin resistance index (-5.9), whereas control group had significantly (P ≤ .05) lower GlycA (-13.1 μmol/L), total VLDL-P (-7.9 nmol/L), and small VLDL-P (-7.0 nmol/L). Differences between groups were observed for small VLDL-P (P = .02) and protein intake (P < .0001).

conclusionsThese findings suggest that a hypocaloric diet with either traditional (0.8 g/kg BW/d) or higher protein (1.2 g/kg BW/d; predominantly from lean red meat) content improves risk markers of cardiovascular disease and type II diabetes in obese middle-aged and older adults. Both diets were also associated with improved physical function, and neither had an adverse impact on cardiometabolic outcomes.

Indexed as

Diet, Carbohydrate-RestrictedAgedAged, 80 and overBiomarkersBody WeightCardiovascular DiseasesFemaleHumansInsulin ResistanceLipoproteinsMagnetic Resonance SpectroscopyMaleMiddle AgedObesityRed MeatWeight LossBiomarkersLipoproteinsCardiovascular disease riskInsulin resistanceMiddle-aged adultsObesityOlder adultsProteinRed meatWeight loss intervention

Identifiers

PMID31771921
PMCPMC9336183
OpenAlexW2978175457

What OpenQuestion holds

Textmetadata
LicenceTDM
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.