Evidence map›Paper›PMID 27832250›Full record

ArticleJAMA oncology2017

Association of Serum Level of Vitamin D at Diagnosis With Breast Cancer Survival: A Case-Cohort Analysis in the Pathways Study.

Song Yao, Marilyn L Kwan, Isaac J Ergas, Janise M Roh, Ting-Yuan David Cheng, Chi-Chen Hong, Susan E McCann, Li Tang, Warren Davis, Song Liu and 4 more

Open access · greenAbstract read
In one paragraph

Article in JAMA oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 7 pooled it
13.3field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 7 syntheses or guidelines pooled it, 128 citations in OpenAlex.

  1. Efficacy of vitamin DAgeing research reviews · 2023
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Song YaoDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland.
Isaac J ErgasDivision of Research, Kaiser Permanente Northern California, Oakland.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Oakland.
Ting-Yuan David ChengDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Chi-Chen HongDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Susan E McCannDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Li TangDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Warren DavisDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Song LiuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, Oakland.
Marion M LeeDepartment of Epidemiology and Biostatistics, University of California, San Francisco.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland.
Roswell Park Comprehensive Cancer Center · USKaiser Permanente · USUniversity of California, San Francisco · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
The HMO Cancer Research Network (CRN)U19CA079689 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MAZOR, KATHLEEN MICHELE · 1999 to 2011
$62.6M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
Lifestyle and Molecular Factors of Bone Health in Breast Cancer SurvivorsR01CA166701 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KWAN, MARILYN L, YAO, SONG · 2012 to 2015
$2.5M
Predicting Pulmonary Function Change to Improve Radiation Planning and OutcomeR01CA166703 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BAYOUTH, JOHN · 2013 to 2017
$1.9M
mTOR pathway in breast cancer subtypes by race: A molecular pathological studyK07CA201334 · NCI · UNIVERSITY OF FLORIDA · PI CHENG, TING-YUAN · 2016 to 2020
$693k
NCI NIH HHS K07 CA201334NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA105274NCI NIH HHS R01 CA166701NCI NIH HHS R01 CA166703NCI NIH HHS U01 CA195565NCI NIH HHS U19 CA079689NCI NIH HHS U24 CA171524
6 · The paper itself

Abstract

importanceThere are long-standing interests in the potential benefits of vitamin D for preventing breast cancer recurrence and mortality, yet data from prospective cohort studies are limited.

objectiveTo investigate a serum biomarker of vitamin D status, 25-hydroxyvitamin D (25OHD) measured at the time of breast cancer diagnosis, to determine the association with prognosis. DESIGN, SETTING, AND

participantsThe Pathways Study is a prospective cohort study of breast cancer survivors established in 2006. Enrollment was completed in 2013; follow-up is ongoing. The cohort was established in Kaiser Permanente Northern California, a large integrated health care delivery system in northern California. Women with a diagnosis of incident invasive breast cancer were typically consented and enrolled within 2 months of diagnosis. The overall enrollment rate was 46% (4505 of 9820). Participants are followed for health outcomes and comorbidities at 12, 24, 48, 72, and 96 months after baseline interview. A case-cohort design was used for efficiency assay of 25OHD, selecting 1666 cohort members with serum samples and ensuring representation in the subcohort of races and clinical subtypes. The data analysis was performed from January 5, 2014, to March 15, 2015. MAIN OUTCOMES AND MEASURES: Primary outcomes are breast cancer recurrence, second primary cancer, and death.

resultsMean (SD) age was 58.7 (12.4) years. Serum 25OHD concentrations were lower in women with advanced-stage tumors, and the lowest in premenopausal women with triple-negative cancer. Levels were also inversely associated with hazards of disease progression and death. Compared with the lowest tertile, women with the highest tertile of 25OHD levels had superior overall survival (OS). This association remained after adjustment for clinical prognostic factors (hazard ratio [HR], 0.72; 95% CI, 0.54-0.98). Among premenopausal women, the association with OS was stronger, and there were also associations with breast cancer-specific survival and invasive disease-free survival (OS: HR, 0.45; 95% CI, 0.21-0.96; breast cancer-specific survival: HR, 0.37; 95% CI, 0.15-0.93; invasive disease-free survival: HR, 0.58; 95% CI, 0.34-1.01; all after full adjustment). CONCLUSIONS AND RELEVANCE: Serum 25OHD levels were independently associated with breast cancer prognostic characteristics and patient prognosis, most prominently among premenopausal women. Our findings from a large, well-characterized prospective cohort provide compelling observational evidence on associations of vitamin D with lower risk of breast cancer morbidity and mortality.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleHumansMiddle AgedNeoplasm StagingPremenopausePrognosisProspective StudiesSurvival AnalysisSurvivorsVitamin D25-hydroxyvitamin DBiomarkers, TumorVitamin D

Identifiers

PMID27832250
PMCPMC5473032
OpenAlexW2553777464

What OpenQuestion holds

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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.