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Article ; Online: Cancer-predisposing germline variants and subsequent cancer risk.

Ronckers, Cécile M / Kratz, Christian P / Berrington de Gonzalez, Amy

2023 Volume 24, Issue 10, Page(s) 1059–1061

MeSH term(s)	Humans ; Neoplasms/epidemiology ; Neoplasms/genetics ; Germ-Line Mutation ; Risk ; Germ Cells ; Genetic Predisposition to Disease
Language	English
Publishing date	2023-10-05
Publishing country	England
Document type	Journal Article ; Comment
ZDB-ID	2049730-1
ISSN	1474-5488 ; 1470-2045
ISSN (online)	1474-5488
ISSN	1470-2045
DOI	10.1016/S1470-2045(23)00461-8
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Zs.A 5696: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 460: Show issues

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Article ; Online: Leading Causes of Death in the US During the COVID-19 Pandemic, March 2020 to October 2021.

Shiels, Meredith S / Haque, Anika T / Berrington de González, Amy / Freedman, Neal D

JAMA internal medicine

2022 Volume 182, Issue 8, Page(s) 883–886

MeSH term(s)	COVID-19 ; Causality ; Cause of Death ; Humans ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2022-07-18
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Intramural
ZDB-ID	2699338-7
ISSN	2168-6114 ; 2168-6106
ISSN (online)	2168-6114
ISSN	2168-6106
DOI	10.1001/jamainternmed.2022.2476
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Article ; Online: Epidemiological studies of CT scans and cancer risk: the state of the science.

Berrington de Gonzalez, Amy / Pasqual, Elisa / Veiga, Lene

The British journal of radiology

2021 Volume 94, Issue 1126, Page(s) 20210471

Abstract: 20 years ago, 3 manuscripts describing doses and potential cancer risks from CT scans in children raised awareness of a growing public health problem. We reviewed the epidemiological studies that were initiated in response to these concerns that assessed ...

Abstract	20 years ago, 3 manuscripts describing doses and potential cancer risks from CT scans in children raised awareness of a growing public health problem. We reviewed the epidemiological studies that were initiated in response to these concerns that assessed cancer risks from CT scans using medical record linkage. We evaluated the study methodology and findings and provide recommendations for optimal study design for new efforts. We identified 17 eligible studies; 13 with published risk estimates, and 4 in progress. There was wide variability in the study methodology, however, which made comparison of findings challenging. Key differences included whether the study focused on childhood or adulthood exposure, radiosensitive outcomes (
MeSH term(s)	Epidemiologic Studies ; Humans ; Neoplasms, Radiation-Induced/epidemiology ; Organs at Risk ; Radiation Dosage ; Radiation, Ionizing ; Risk Assessment ; Tomography, X-Ray Computed
Language	English
Publishing date	2021-09-20
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2982-8
ISSN	1748-880X ; 0007-1285
ISSN (online)	1748-880X
ISSN	0007-1285
DOI	10.1259/bjr.20210471
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Article ; Online: Opportunities for Achieving the Cancer Moonshot Goal of a 50% Reduction in Cancer Mortality by 2047.

Shiels, Meredith S / Lipkowitz, Stanley / Campos, Nicole G / Schiffman, Mark / Schiller, John T / Freedman, Neal D / Berrington de González, Amy

Cancer discovery

2023 Volume 13, Issue 5, Page(s) 1084–1099

Abstract: On February 2, 2022, President Biden and First Lady Dr. Biden reignited the Cancer Moonshot, setting a new goal to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years in the United States. We estimated trends in U.S. ... ...

Abstract	On February 2, 2022, President Biden and First Lady Dr. Biden reignited the Cancer Moonshot, setting a new goal to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years in the United States. We estimated trends in U.S. cancer mortality during 2000 to 2019 for all cancers and the six leading types (lung, colorectum, pancreas, breast, prostate, liver). Cancer death rates overall declined by 1.4% per year from 2000 to 2015, accelerating to 2.3% per year during 2016 to 2019, driven by strong declines in lung cancer mortality (-4.7%/year, 2014 to 2019). Recent declines in colorectal (-2.0%/year, 2010-2019) and breast cancer death rates (-1.2%/year, 2013-2019) also contributed. However, trends for other cancer types were less promising. To achieve the Moonshot goal, progress against lung, colorectal, and breast cancer deaths needs to be maintained and/or accelerated, and new strategies for prostate, liver, pancreatic, and other cancers are needed. We reviewed opportunities to prevent, detect, and treat these common cancers that could further reduce population-level cancer death rates and also reduce disparities. Significance: We reviewed opportunities to prevent, detect, and treat common cancers, and show that to achieve the Moonshot goal, progress against lung, colorectal, and breast cancer deaths needs to be maintained and/or accelerated, and new strategies for prostate, liver, pancreatic, and other cancers are needed. See related commentary by Bertagnolli et al., p. 1049. This article is highlighted in the In This Issue feature, p. 1027.
MeSH term(s)	Male ; Humans ; United States/epidemiology ; Adult ; Goals ; Neoplasms/mortality ; Breast Neoplasms/mortality ; Lung Neoplasms/mortality ; Colorectal Neoplasms/mortality
Language	English
Publishing date	2023-04-11
Publishing country	United States
Document type	Editorial ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	2625242-9
ISSN	2159-8290 ; 2159-8274
ISSN (online)	2159-8290
ISSN	2159-8274
DOI	10.1158/2159-8290.CD-23-0208
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Article ; Online: Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization.

Mason, Lee / Berrington de Gonzalez, Amy / Garcia-Closas, Montserrat / Chanock, Stephen J / Hicks, Blànaid / Almeida, Jonas S

PloS one

2023 Volume 18, Issue 4, Page(s) e0277149

Abstract: Forecasting methods are notoriously difficult to interpret, particularly when the relationship between the data and the resulting forecasts is not obvious. Interpretability is an important property of a forecasting method because it allows the user to ... ...

Abstract	Forecasting methods are notoriously difficult to interpret, particularly when the relationship between the data and the resulting forecasts is not obvious. Interpretability is an important property of a forecasting method because it allows the user to complement the forecasts with their own knowledge, a process which leads to more applicable results. In general, mechanistic methods are more interpretable than non-mechanistic methods, but they require explicit knowledge of the underlying dynamics. In this paper, we introduce EpiForecast, a tool which performs interpretable, non-mechanistic forecasts using interactive visualization and a simple, data-focused forecasting technique based on empirical dynamic modelling. EpiForecast's primary feature is a four-plot interactive dashboard which displays a variety of information to help the user understand how the forecasts are generated. In addition to point forecasts, the tool produces distributional forecasts using a kernel density estimation method-these are visualized using color gradients to produce a quick, intuitive visual summary of the estimated future. To ensure the work is FAIR and privacy is ensured, we have released the tool as an entirely in-browser web-application.
Language	English
Publishing date	2023-04-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0277149
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Article ; Online: Evidence does not support benefit of being overweight on mortality.

Willett, Walter / Berrington de Gonzalez, Amy / Hu, Frank B / Patel, Alpa / Manson, JoAnn E

Progress in cardiovascular diseases

2021 Volume 68, Page(s) 102–103

MeSH term(s)	Body Mass Index ; Humans ; Obesity ; Overweight
Language	English
Publishing date	2021-07-21
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	209312-1
ISSN	1873-1740 ; 1532-8643 ; 0033-0620
ISSN (online)	1873-1740 ; 1532-8643
ISSN	0033-0620
DOI	10.1016/j.pcad.2021.07.009
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Zs.A 229: Show issues

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Article ; Online: Computed tomography scan radiation and brain cancer incidence.

Smoll, Nicolas R / Brady, Zoe / Scurrah, Katrina J / Lee, Choonsik / Berrington de González, Amy / Mathews, John D

Neuro-oncology

2023 Volume 25, Issue 7, Page(s) 1368–1376

Abstract: Background: Computed tomography (CT) scans make substantial contributions to low-dose ionizing radiation exposures, raising concerns about excess cancers caused by diagnostic radiation.: Methods: Deidentified medicare records for all Australians aged ...

Abstract	Background: Computed tomography (CT) scans make substantial contributions to low-dose ionizing radiation exposures, raising concerns about excess cancers caused by diagnostic radiation. Methods: Deidentified medicare records for all Australians aged 0-19 years between 1985-2005 were linked to national death and cancer registrations to 2012. The National Cancer Institute CT program was used to estimate radiation doses to the brain from CT exposures in 1985-2005, Poisson regression was used to model the dependence of brain cancer incidence on brain radiation dose, which lagged by 2 years to minimize reverse causation bias. Results: Of 10 524 842 young Australians, 611 544 were CT-exposed before the age of 20 years, with a mean cumulative brain dose of 44 milligrays (mGy) at an average follow-up of 13.5 years after the 2-year lag period. 4472 were diagnosed with brain cancer, of whom only 237 had been CT-exposed. Brain cancer incidence increased with radiation dose to the brain, with an excess relative risk of 0.8 (95% CI 0.57-1.06) per 100 mGy. Approximately 6391 (95% CI 5255, 8155) persons would need to be exposed to cause 1 extra brain cancer. Conclusions: For brain tumors that follow CT exposures in childhood by more than 2 years, we estimate that 40% (95% CI 29%-50%) are attributable to CT Radiation and not due to reverse causation. However, because of relatively low rates of CT exposure in Australia, only 3.7% (95% CI 2.3%-5.4%) of all brain cancers are attributable to CT scans. The population-attributable fraction will be greater in countries with higher rates of pediatric scanning.
MeSH term(s)	Child ; Humans ; Aged ; Incidence ; Neoplasms, Radiation-Induced/epidemiology ; Neoplasms, Radiation-Induced/etiology ; Radiation Dosage ; Australia/epidemiology ; National Health Programs ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/epidemiology ; Brain Neoplasms/etiology ; Tomography, X-Ray Computed/adverse effects ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2023-01-12
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2028601-6
ISSN	1523-5866 ; 1522-8517
ISSN (online)	1523-5866
ISSN	1522-8517
DOI	10.1093/neuonc/noad012
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Article ; Online: Second primary cancer risks according to race and ethnicity among U.S. breast cancer survivors.

Brandt, Carolyn / Vo, Jacqueline B / Gierach, Gretchen L / Cheng, Iona / Torres, Vanessa N / Lawrence, Wayne R / McCullough, Lauren E / Veiga, Lene H S / Berrington de González, Amy / Ramin, Cody

International journal of cancer

2024

Abstract: Breast cancer survivors have an increased risk of developing second primary cancers, yet risks by race and ethnicity have not been comprehensively described. We evaluated second primary cancer risks among 717,335 women diagnosed with first primary breast ...

Abstract	Breast cancer survivors have an increased risk of developing second primary cancers, yet risks by race and ethnicity have not been comprehensively described. We evaluated second primary cancer risks among 717,335 women diagnosed with first primary breast cancer (aged 20-84 years and survived ≥1-year) in the SEER registries using standardized incidence ratios (SIRs; observed/expected). SIRs were estimated by race and ethnicity compared with the racial- and ethnic-matched general population, and further stratified by clinical characteristics of the index breast cancer. Poisson regression was used to test for heterogeneity by race and ethnicity. SIRs for second primary cancer differed by race and ethnicity with the highest risks observed among non-Hispanic/Latina Asian American, Native Hawaiian, or other Pacific Islander (AANHPI), non-Hispanic/Latina Black (Black), and Hispanic/Latina (Latina) survivors and attenuated risk among non-Hispanic/Latina White (White) survivors (SIR
Language	English
Publishing date	2024-04-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	218257-9
ISSN	1097-0215 ; 0020-7136
ISSN (online)	1097-0215
ISSN	0020-7136
DOI	10.1002/ijc.34971
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Zs.MO 576: Show issues

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Article ; Online: Reply to P. Petranović Ovčariček et al.

Pasqual, Elisa / Schonfeld, Sara / Morton, Lindsay M / Villoing, Daphnée / Lee, Choonsik / Berrington de González, Amy / Kitahara, Cari M

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

2022 Volume 40, Issue 29, Page(s) 3465–3466

Language	English
Publishing date	2022-06-16
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	604914-x
ISSN	1527-7755 ; 0732-183X
ISSN (online)	1527-7755
ISSN	0732-183X
DOI	10.1200/JCO.22.00735
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Article ; Online: Trends in heart disease mortality among breast cancer survivors in the US, 1975-2017.

Vo, Jacqueline B / Ramin, Cody / Barac, Ana / Berrington de Gonzalez, Amy / Veiga, Lene

Breast cancer research and treatment

2022 Volume 192, Issue 3, Page(s) 611–622

Abstract: Purpose: Heart disease is a significant concern among breast cancer survivors, in part due to cardiotoxic treatments including chemotherapy and radiotherapy. Long-term trends in heart disease mortality have not been well characterized. We examined heart ...

Abstract	Purpose: Heart disease is a significant concern among breast cancer survivors, in part due to cardiotoxic treatments including chemotherapy and radiotherapy. Long-term trends in heart disease mortality have not been well characterized. We examined heart disease mortality trends among US breast cancer survivors by treatment type. Methods: We included first primary invasive breast cancer survivors diagnosed between 1975 and 2016 (aged 18-84; survived 12 + months; received initial chemotherapy, radiotherapy, or surgery) in the SEER-9 Database. Standardized mortality ratios (SMRs) and 10-year cumulative heart disease mortality estimates accounting for competing events were calculated by calendar year of diagnosis and initial treatment regimen. P Results: Of 516,916 breast cancer survivors, 40,812 died of heart disease through 2017. Heart disease SMRs declined overall from 1975-1979 to 2010-2016 (SMR 1.01 [95%CI: 0.98, 1.03] to 0.74 [0.69, 0.79], p Conclusions: We observed declining heart disease mortality trends by most treatment types yet increasing for regional stage patients treated with chemotherapy alone, highlighting a need for additional studies with detailed treatment data and cardiovascular management throughout cancer survivorship.
MeSH term(s)	Adolescent ; Adult ; Aged ; Aged, 80 and over ; Breast Neoplasms ; Cancer Survivors ; Female ; Heart ; Heart Diseases/epidemiology ; Heart Diseases/etiology ; Humans ; Middle Aged ; Survivors ; Young Adult
Language	English
Publishing date	2022-02-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	604563-7
ISSN	1573-7217 ; 0167-6806
ISSN (online)	1573-7217
ISSN	0167-6806
DOI	10.1007/s10549-022-06515-5
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