Evidence map›Paper›PMID 35012972›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2022

The Association of Predicted Resting Energy Expenditure with Risk of Breast Cancer among Postmenopausal Women in the Women's Health Initiative Cohort.

Rhonda S Arthur, Yasmin Mossavar-Rahmani, Ross L Prentice, Aladdin H Shadyab, Juhua Luo, Maryam Sattari, Xiaonan Xue, Victor Kamensky, Guo-Chong Chen, Qibin Qi and 4 more

Abstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Rhonda S ArthurDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-3241-2945
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-9214-6124
Ross L PrenticeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California.
Juhua LuoSchool of Public Health, Indiana University, Bloomington, Indiana.
Maryam SattariDepartment of Medicine, University of Florida College of Medicine, Gainesville, Florida.
Xiaonan XueDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.
Victor KamenskyDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.
Guo-Chong ChenDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.
Qibin QiDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.
Garnet L AndersonDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-5087-7837
Sylvia Wassertheil-SmollerDepartment of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.ORCID 0000-0002-5447-4653
Marian L Neuhouser *Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Thomas E Rohan *Department of Epidemiology and Population Health Albert Einstein College of Medicine, Bronx, New York.

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Nutrition and Physical Activity Assessment Study (NPAAS)R01CA119171 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian L Neuhouser · 2006 to 2026
$14.3M
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032111 · WH · EMORY UNIVERSITY · PI WATTS, NELSON · 1993 to 2001
$1.6M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032105 · WH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E · 1993 to 2000
$1.2M
VANGUARD CENTER FOR WOMENS HEALTH INITIATIVEN01WH032100 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BERESFORD, SHIRLEY AA · 1993 to 2001
$1.1M
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032118 · WH · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C · 1993 to 2000
$992k
VANGUARD CENTER FOR WOMEN'S HEALTH INITIATIVEN01WH032122 · WH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI TREVISAN, MAURIZIO · 1993 to 2000
$927k
VANGUARD CENTER FOR WOMENS HEALTH INITIATIVEN01WH032108 · WH · NORTHWESTERN UNIVERSITY · PI GREENLAND, PHILIP · 1993 to 2000
$919k
CLIN CTR CLIN TRIAL/OBSERVATIONAL STUDY OF WHIN01WH042129 · WH · UNIVERSITY OF FLORIDA · PI LIMACHER, MARIAN C. · 1994 to 2000
$868k
NCATS NIH HHS UL1 TR002556NCI NIH HHS R01 CA119171NHLBI NIH HHS N01 WH032105NHLBI NIH HHS N01 WH032118WHI NIH HHS N01 WH022110WHI NIH HHS N01 WH024152WHI NIH HHS N01 WH032100WHI NIH HHS N01 WH032108WHI NIH HHS N01 WH032111WHI NIH HHS N01 WH032122WHI NIH HHS N01 WH042129WHI NIH HHS N01 WH044221
6 · The paper itself

Abstract

Obesity and obesity-related metabolic disorders, such as diabetes and chronic inflammation, have been positively associated both with postmenopausal breast cancer and with resting energy expenditure (REE). However, there is limited epidemiologic evidence on the associations between REE and risk of postmenopausal breast cancer. We used multivariable Cox proportional hazards models to examine the association between predicted REE (calculated using the Ikeda, Livingston, and Mifflin equations) and risk of postmenopausal breast cancer overall and by subtypes, and by level of body fat) among 137,283 postmenopausal women in the Women's Health Initiative (WHI). All predicted REEs were positively associated with risk of invasive breast cancer [HRq5 vs. q1 = 1.69; 95% confidence interval (CI), 1.57-1.81; HR = 1.69; 95% CI, 1.57-1.82; and HR = 1.68; 95% CI, 1.56-1.80 for Ikeda, Livingston, and Mifflin, respectively]. These positive associations were observed irrespective of the hormone receptor subtype, grade, and stage of the tumors, but were most pronounced for estrogen receptor-positive/progesterone receptor-positive tumors. After additional adjustment for body mass index (BMI), the associations were mostly attenuated and remained statistically significant for most of the outcomes. We also observed an interaction between the predicted REEs and BMI, with the associations being somewhat stronger among normal weight and overweight women than among obese women (Pinteractions < 0.05). Our findings indicate that relatively high REE is associated with increased risk of invasive breast cancer among postmenopausal women (particularly for the obesity-related tumor subtypes), irrespective of the equation used. Further studies using more objective measures of REE are, however, needed to confirm our findings. PREVENTION RELEVANCE: This study showed that higher resting energy expenditure (REE) was associated with higher postmenopausal breast cancer risk. REE provides energy to support cancer-associated disorders such as obesity and inflammation. Thus, studies on its association with breast cancer can help to improve our understanding of the pathophysiology of breast cancer.

Indexed as

Breast NeoplasmsBody Mass IndexEnergy MetabolismFemaleHumansPostmenopauseRisk FactorsWomen's Health

Identifiers

PMID35012972
PMCPMC8983492

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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.