Evidence map›Paper›PMID 24760261›Full record

Trial reportDiabetes care2014

Weight loss, glycemic control, and cardiovascular disease risk factors in response to differential diet composition in a weight loss program in type 2 diabetes: a randomized controlled trial.

Cheryl L Rock, Shirley W Flatt, Bilge Pakiz, Kenneth S Taylor, Angela F Leone, Kerrin Brelje, Dennis D Heath, Elizabeth L Quintana, Nancy E Sherwood

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 14 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

72 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  6. Effects of vegan diets on cardiometabolic health: A systematic review and meta-analysis of randomized controlled trials.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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  10. A systematic review and meta-analysis of the effectiveness of meal replacements for weight loss.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
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12 more citing papers are in PubMed but not listed here.

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

9 authors.

Cheryl L RockDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA clrock@ucsd.edu.
Shirley W FlattDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Bilge PakizDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Kenneth S TaylorDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Angela F LeoneDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Kerrin BreljeHealthPartners Research Institute for Education and Research and Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Dennis D HeathDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Elizabeth L QuintanaDepartment of Family and Preventive Medicine, School of Medicine, University of California, San Diego, La Jolla, CA.
Nancy E SherwoodHealthPartners Research Institute for Education and Research and Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

objectiveTo test whether a weight loss program promotes greater weight loss, glycemic control, and improved cardiovascular disease risk factors compared with control conditions and whether there is a differential response to higher versus lower carbohydrate intake. RESEARCH DESIGN AND

methodsThis randomized controlled trial at two university medical centers enrolled 227 overweight or obese adults with type 2 diabetes and assigned them to parallel in-person diet and exercise counseling, with prepackaged foods in a planned menu during the initial phase, or to usual care (UC; two weight loss counseling sessions and monthly contacts).

resultsRelative weight loss was 7.4% (95% CI 5.7-9.2%), 9.0% (7.1-10.9%), and 2.5% (1.3-3.8%) for the lower fat, lower carbohydrate, and UC groups (P < 0.001 intervention effect). Glycemic control markers and triglyceride levels were lower in the intervention groups compared with UC group at 1 year (fasting glucose 141 [95% CI 133-149] vs. 159 [144-174] mg/dL, P = 0.023; hemoglobin A1c 6.9% [6.6-7.1%] vs. 7.5% [7.1-7.9%] or 52 [49-54] vs. 58 [54-63] mmol/mol, P = 0.001; triglycerides 148 [134-163] vs. 204 [173-234] mg/dL, P < 0.001). The lower versus higher carbohydrate groups maintained lower hemoglobin A1c (6.6% [95% CI 6.3-6.8%] vs. 7.2% [6.8-7.5%] or 49 [45-51] vs. 55 [51-58] mmol/mol) at 1 year (P = 0.008).

conclusionsThe weight loss program resulted in greater weight loss and improved glycemic control in type 2 diabetes.

Indexed as

Diet, Carbohydrate-RestrictedDiet, Fat-RestrictedWeight Reduction ProgramsAdultAgedBlood GlucoseBody WeightCardiovascular DiseasesCase-Control StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated Hemoglobin

Identifiers

PMID24760261
PMCPMC4392939

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.