Evidence map›Paper›PMID 22225711›Full record

Trial reportBreast cancer research : BCR2012

Effect of dietary patterns differing in carbohydrate and fat content on blood lipid and glucose profiles based on weight-loss success of breast-cancer survivors.

Henry J Thompson, Scot M Sedlacek, Devchand Paul, Pamela Wolfe, John N McGinley, Mary C Playdon, Elizabeth A Daeninck, Sara N Bartels, Mark R Wisthoff

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Breast cancer research : BCR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 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
  5. Article
  6. Article
  7. Impact of Serum Lipid on Breast Cancer Recurrence.Journal of clinical medicine · 2020
    Article
  8. Article
  9. Weight Management and Exercise for Cancer Survivors.Clinical journal of oncology nursing · 2016
    Review
  10. High scavenger receptor class B type I expression is related to tumor aggressiveness and poor prognosis in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  11. Article
  12. Review
  13. Advancing breast cancer survivorship among African-American women.Breast cancer research and treatment · 2015
    Review
  14. Article
  15. Article
  16. Article
  17. 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 3 institutions in 1 country.

Henry J ThompsonCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. henry.thompson@colostate.edu
Scot M Sedlacek
Devchand Paul
Pamela Wolfe
John N McGinley
Mary C Playdon
Elizabeth A Daeninck
Sara N Bartels
Mark R Wisthoff
Colorado State University · USRocky Mountain Cancer Centers · USUniversity of Colorado Denver · US

Funding

NCI NIH HHS CA126704
6 · The paper itself

Abstract

introductionHealthy body weight is an important factor for prevention of breast cancer recurrence. Yet, weight loss and weight gain are not currently included in clinical-practice guidelines for posttreatment of breast cancer. The work reported addresses one of the questions that must be considered in recommending weight loss to patients: does it matter what diet plan is used, a question of particular importance because breast cancer treatment can increase risk for cardiovascular disease.

methodsWomen who completed treatment for breast cancer were enrolled in a nonrandomized, controlled study investigating effects of weight loss achieved by using two dietary patterns at the extremes of macronutrient composition, although both diet arms were equivalent in protein: high fat, low carbohydrate versus low fat, high carbohydrate. A nonintervention group served as the control arm; women were assigned to intervention arms based on dietary preferences. During the 6-month weight-loss program, which was menu and recipe defined, participants had monthly clinical visits at which anthropometric data were collected and fasting blood was obtained for safety monitoring for plasma lipid profiles and fasting glucose. Results from 142 participants are reported.

resultsAdverse effects on fasting blood lipids or glucose were not observed in either dietary arm. A decrease in fasting glucose was observed with progressive weight loss and was greater in participants who lost more weight, but the effect was not statistically significant, even though it was observed across both diet groups (P = 0.21). Beneficial effects of weight loss on cholesterol (4.7%; P = 0.001), triglycerides (21.8%; P = 0.01), and low-density lipoprotein (LDL) cholesterol (5.8%; P = 0.06) were observed in both groups. For cholesterol (P = 0.07) and LDL cholesterol (P = 0.13), greater reduction trends were seen on the low-fat diet pattern; whereas, for triglycerides (P = 0.01) and high-density lipoprotein (HDL) cholesterol (P = 0.08), a decrease or increase, respectively, was greater on the low-carbohydrate diet pattern.

conclusionsBecause an individual's dietary preferences can affect dietary adherence and weight-loss success, the lack of evidence of a negative effect of dietary pattern on biomarkers associated with cardiovascular risk is an important consideration in the development of breast cancer practice guidelines for physicians who recommend that their patients lose weight. Whether dietary pattern affects biomarkers that predict long-term survival is a primary question in this ongoing clinical trial.

Indexed as

Blood GlucoseSurvivorsBody Mass IndexBreast NeoplasmsDietary CarbohydratesDietary FatsDiet, ReducingFemaleHumansLipidsMiddle AgedNeoplasm Recurrence, LocalObesityRegression AnalysisTreatment OutcomeWeight LossBlood GlucoseDietary CarbohydratesDietary FatsLipids

Identifiers

PMID22225711
PMCPMC3496116
OpenAlexW2015948914

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.