Evidence map›Paper›PMID 35010632›Full record

ArticleInternational journal of environmental research and public health2021

Dietary Acid Load, Serum Polychlorinated Biphenyl Levels, and Mortality Following Breast Cancer in the Long Island Breast Cancer Study Project.

Briana N C Chronister, Tianying Wu, Regina M Santella, Alfred I Neugut, Mary S Wolff, Jia Chen, Susan L Teitelbaum, Humberto Parada

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

8 authors.

Briana N C ChronisterHerbert Wertheim School of Public Health, University of California, San Diego, CA 92093, USA.ORCID 0000-0002-8941-3981
Tianying WuSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0003-1679-3511
Regina M SantellaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10027, USA.
Alfred I NeugutDepartment of Medicine, Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10027, USA.
Mary S WolffDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Jia ChenDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Susan L TeitelbaumDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Humberto ParadaSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0001-6562-8577

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
San Diego Resource Center for advancing Alzheimer's Research in Minority Seniors (ARMS)P30AG059299 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Tala Al-Rousan · 2018 to 2026
$7.4M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
Advanced data analytics training for behavioral and social sciences researchT32MH122376 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEKLER, ERIC, POLITIS, DIMITRIS · 2020 to 2024
$1.3M
Red Blood Cell Polyunsaturated Fatty Acids and Breast Cancer Mortality in the Women's Healthy Eating and Living (WHEL) StudyK01CA234317 · NCI · SAN DIEGO STATE UNIVERSITY · PI PARADA, HUMBERTO · 2019 to 2023
$928k
NCI NIH HHS K01 CA234317NCI NIH HHS U01 CA066572NCI NIH HHS U54 CA132379NIA NIH HHS P30 AG059299NIEHS NIH HHS P30 ES009089NIMH NIH HHS T32 MH122376
6 · The paper itself

Abstract

Dietary acid load (DAL) may be associated with all-cause mortality (ACM) and breast cancer-specific mortality (BCM), and these associations may be modified by serum polychlorinated biphenyl (PCB) levels. Participants included 519 women diagnosed with first primary in situ or invasive breast cancer in 1996/1997 with available lipid-corrected PCB data. After a median of 17 years, there were 217 deaths (73 BCM). Potential renal acid load (PRAL) and net endogenous acid production (NEAP) scores calculated from a baseline food frequency questionnaire estimated DAL. Cox regression estimated covariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between PRAL and NEAP with mortality. We evaluated effect measure modification by total serum PCB levels (>median vs. ≤median). PRAL quartile 4 versus quartile 1 was associated with an ACM HR of 1.31 (95%CI = 0.90-1.92). In the upper median of PCBs, ACM HRs were 1.43 (95%CI = 0.96-2.11) and 1.40 (95%CI = 0.94-2.07) for PRAL and NEAP upper medians, respectively. In the lower median of PCBs, the upper median of NEAP was inversely associated with BCM (HR = 0.40, 95%CI = 0.19-0.85). DAL may be associated with increased risk of all-cause mortality following breast cancer among women with high total serum PCB levels, but inversely associated with breast cancer mortality among women with low PCB levels.

Indexed as

Breast NeoplasmsPolychlorinated BiphenylsAcidsDietFemaleHumansProportional Hazards ModelsAcidsPolychlorinated Biphenylsbreast cancerdietary acid loadmortalitynet endogenous acid productionpolychlorinated biphenylspotential renal acid loadsurvival

Identifiers

PMID35010632
PMCPMC8751127

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.