Evidence map›Paper›PMID 21733177›Full record

ArticleBMC cancer2011

Effect of a low fat versus a low carbohydrate weight loss dietary intervention on biomarkers of long term survival in breast cancer patients ('CHOICE'): study protocol.

Scot M Sedlacek, Mary C Playdon, Pamela Wolfe, John N McGinley, Mark R Wisthoff, Elizabeth A Daeninck, Weiqin Jiang, Zongjian Zhu, Henry J Thompson

Open access · goldAbstract readControlled Clinical Trial
In one paragraph

Article in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.9field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Dietary interventions for adult cancer survivors.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
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  9. Review
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  11. Bioavailable insulin-like growth factor-I inversely related to weight gain in postmenopausal women regardless of exogenous estrogen.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  12. Article
  13. Article
  14. Weight change and survival after breast cancer in the after breast cancer pooling project.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    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

9 authors at 2 institutions in 1 country.

Scot M SedlacekCancer Prevention Laboratory, Colorado State University, Fort Collins, CO, USA.
Mary C Playdon
Pamela Wolfe
John N McGinley
Mark R Wisthoff
Elizabeth A Daeninck
Weiqin Jiang
Zongjian Zhu
Henry J Thompson
Colorado State University · USUniversity of Colorado Denver · US

Funding

NCI NIH HHS CA126704
6 · The paper itself

Abstract

backgroundWeight loss in overweight or obese breast cancer patients is associated with an improved prognosis for long term survival. However, it is not clear whether the macronutrient composition of the chosen weight loss dietary plan imparts further prognostic benefit. A study protocol is presented for a dietary intervention to investigate the effects of weight loss dietary patterns that vary markedly in fat and carbohydrate contents on biomarkers of exposure to metabolic processes that may promote tumorigenesis and that are predictive of long term survival. The study will also determine how much weight must be lost for biomarkers to change in a favorable direction. METHODS/

designApproximately 370 overweight or obese postmenopausal breast cancer survivors (body mass index: 25.0 to 34.9 kg/m²) will be accrued and assigned to one of two weight loss intervention programs or a non-intervention control group. The dietary intervention is implemented in a free living population to test the two extremes of popular weight loss dietary patterns: a high carbohydrate, low fat diet versus a low carbohydrate, high fat diet. The effects of these dietary patterns on biomarkers for glucose homeostasis, chronic inflammation, cellular oxidation, and steroid sex hormone metabolism will be measured. Participants will attend 3 screening and dietary education visits, and 7 monthly one-on-one dietary counseling and clinical data measurement visits in addition to 5 group visits in the intervention arms. Participants in the control arm will attend two clinical data measurement visits at baseline and 6 months. The primary outcome is high sensitivity C-reactive protein. Secondary outcomes include interleukin-6, tumor necrosis factor-α, insulin-like growth factor-1 (IGF), IGF binding protein-3, 8-isoprostane-F2-alpha, estrone, estradiol, progesterone, sex hormone binding globulin, adiponectin, and leptin. DISCUSSION: While clinical data indicate that excess weight for height is associated with poor prognosis for long term survival, little attention is paid to weight control in the clinical management of breast cancer. This study will provide information that can be used to answer important patient questions about the effects of dietary pattern and magnitude of weight loss on long term survival following breast cancer treatment. CLINICAL

trial registrationCA125243.

Indexed as

Diet, ReducingSurvivorsAdiponectinAdipose TissueAlgorithmsAnalysis of VarianceBiomarkers, TumorBreast NeoplasmsC-Reactive ProteinDietary CarbohydratesDietary FatsEstrogensFemaleGlucoseHomeostasisHumansAdiponectinBiomarkers, TumorC-Reactive ProteinDietary CarbohydratesDietary FatsEstrogensGlucoseInterleukin-6LeptinReactive Oxygen SpeciesTumor Necrosis Factor-alpha

Identifiers

PMID21733177
PMCPMC3150342
OpenAlexW2042610371

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.