Data from The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality Article Swipe

View

Richard Sposto , Theresa H.M. Keegan , Cheryl Vigen , Marilyn L. Kwan , Leslie Bernstein , Esther M. John , Iona Cheng , Juan Yang , Jocelyn Koo , Allison W. Kurian , Bette J. Caan , Yani Lu , Kristine R. Monroe , Salma Shariff‐Marco , Scarlett Lin Gomez , Anna H. Wu ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1158/1055-9965.c.6515452.v1

Background: Racial/ethnic disparity in breast cancer–specific mortality in the United States is well documented. We examined whether accounting for racial/ethnic differences in the prevalence of clinical, patient, and lifestyle and contextual factors that are associated with breast cancer–specific mortality can explain this disparity.Methods: The California Breast Cancer Survivorship Consortium combined interview data from six California-based breast cancer studies with cancer registry data to create a large, racially diverse cohort of women with primary invasive breast cancer. We examined the contribution of variables in a previously reported Cox regression baseline model plus additional contextual, physical activity, body size, and comorbidity variables to the racial/ethnic disparity in breast cancer–specific mortality.Results: The cohort comprised 12,098 women. Fifty-four percent were non-Latina Whites, 17% African Americans, 17% Latinas, and 12% Asian Americans. In a model adjusting only for age and study, breast cancer–specific HRs relative to Whites were 1.69 (95% CI, 1.46–1.96), 1.00 (0.84–1.19), and 0.52 (0.33–0.85) for African Americans, Latinas, and Asian Americans, respectively. Adjusting for baseline-model variables decreased disparity primarily by reducing the HR for African Americans to 1.13 (0.96–1.33). The most influential variables were related to disease characteristics, neighborhood socioeconomic status, and smoking status at diagnosis. Other variables had negligible impact on disparity.Conclusions: Although contextual, physical activity, body size, and comorbidity variables may influence breast cancer–specific mortality, they do not explain racial/ethnic mortality disparity.Impact: Other factors besides those investigated here may explain the existing racial/ethnic disparity in mortality. Cancer Epidemiol Biomarkers Prev; 25(7); 1064–72. ©2016 AACR.

Related Topics

Concepts

Breast cancer Medicine Demography Ethnic group Cohort Socioeconomic status Survivorship curve Proportional hazards model Cancer Cohort study Gerontology Internal medicine Oncology Population Environmental health Sociology Anthropology

Metadata

Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/1055-9965.c.6515452.v1
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4361948707

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4361948707

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1158/1055-9965.c.6515452.v1

Digital Object Identifier
Title: Data from The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2023

Year of publication
Publication date: 2023-03-31

Full publication date if available
Authors: Richard Sposto, Theresa H.M. Keegan, Cheryl Vigen, Marilyn L. Kwan, Leslie Bernstein, Esther M. John, Iona Cheng, Juan Yang, Jocelyn Koo, Allison W. Kurian, Bette J. Caan, Yani Lu, Kristine R. Monroe, Salma Shariff‐Marco, Scarlett Lin Gomez, Anna H. Wu

List of authors in order
Landing page: https://doi.org/10.1158/1055-9965.c.6515452.v1

Publisher landing page
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://doi.org/10.1158/1055-9965.c.6515452.v1

Direct OA link when available
Concepts: Breast cancer, Medicine, Demography, Ethnic group, Cohort, Socioeconomic status, Survivorship curve, Proportional hazards model, Cancer, Cohort study, Gerontology, Internal medicine, Oncology, Population, Environmental health, Sociology, Anthropology

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4361948707
doi	https://doi.org/10.1158/1055-9965.c.6515452.v1
ids.doi	https://doi.org/10.1158/1055-9965.c.6515452.v1
ids.openalex	https://openalex.org/W4361948707
fwci
type	preprint
title	Data from The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T10556
topics[0].field.id	https://openalex.org/fields/27
topics[0].field.display_name	Medicine
topics[0].score	0.9988999962806702
topics[0].domain.id	https://openalex.org/domains/4
topics[0].domain.display_name	Health Sciences
topics[0].subfield.id	https://openalex.org/subfields/2730
topics[0].subfield.display_name	Oncology
topics[0].display_name	Global Cancer Incidence and Screening
topics[1].id	https://openalex.org/T12103
topics[1].field.id	https://openalex.org/fields/27
topics[1].field.display_name	Medicine
topics[1].score	0.9873999953269958
topics[1].domain.id	https://openalex.org/domains/4
topics[1].domain.display_name	Health Sciences
topics[1].subfield.id	https://openalex.org/subfields/2730
topics[1].subfield.display_name	Oncology
topics[1].display_name	Cancer Risks and Factors
topics[2].id	https://openalex.org/T10183
topics[2].field.id	https://openalex.org/fields/13
topics[2].field.display_name	Biochemistry, Genetics and Molecular Biology
topics[2].score	0.9732999801635742
topics[2].domain.id	https://openalex.org/domains/1
topics[2].domain.display_name	Life Sciences
topics[2].subfield.id	https://openalex.org/subfields/1306
topics[2].subfield.display_name	Cancer Research
topics[2].display_name	Breast Cancer Treatment Studies
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C530470458
concepts[0].level	3
concepts[0].score	0.8165382742881775
concepts[0].wikidata	https://www.wikidata.org/wiki/Q128581
concepts[0].display_name	Breast cancer
concepts[1].id	https://openalex.org/C71924100
concepts[1].level	0
concepts[1].score	0.7538982629776001
concepts[1].wikidata	https://www.wikidata.org/wiki/Q11190
concepts[1].display_name	Medicine
concepts[2].id	https://openalex.org/C149923435
concepts[2].level	1
concepts[2].score	0.6723915338516235
concepts[2].wikidata	https://www.wikidata.org/wiki/Q37732
concepts[2].display_name	Demography
concepts[3].id	https://openalex.org/C137403100
concepts[3].level	2
concepts[3].score	0.6666620969772339
concepts[3].wikidata	https://www.wikidata.org/wiki/Q41710
concepts[3].display_name	Ethnic group
concepts[4].id	https://openalex.org/C72563966
concepts[4].level	2
concepts[4].score	0.5425238609313965
concepts[4].wikidata	https://www.wikidata.org/wiki/Q1303415
concepts[4].display_name	Cohort
concepts[5].id	https://openalex.org/C147077947
concepts[5].level	3
concepts[5].score	0.5156689882278442
concepts[5].wikidata	https://www.wikidata.org/wiki/Q1515895
concepts[5].display_name	Socioeconomic status
concepts[6].id	https://openalex.org/C172400760
concepts[6].level	3
concepts[6].score	0.48784375190734863
concepts[6].wikidata	https://www.wikidata.org/wiki/Q332796
concepts[6].display_name	Survivorship curve
concepts[7].id	https://openalex.org/C50382708
concepts[7].level	2
concepts[7].score	0.4774076044559479
concepts[7].wikidata	https://www.wikidata.org/wiki/Q223218
concepts[7].display_name	Proportional hazards model
concepts[8].id	https://openalex.org/C121608353
concepts[8].level	2
concepts[8].score	0.47158944606781006
concepts[8].wikidata	https://www.wikidata.org/wiki/Q12078
concepts[8].display_name	Cancer
concepts[9].id	https://openalex.org/C201903717
concepts[9].level	2
concepts[9].score	0.41193562746047974
concepts[9].wikidata	https://www.wikidata.org/wiki/Q1778788
concepts[9].display_name	Cohort study
concepts[10].id	https://openalex.org/C74909509
concepts[10].level	1
concepts[10].score	0.4025980830192566
concepts[10].wikidata	https://www.wikidata.org/wiki/Q10387
concepts[10].display_name	Gerontology
concepts[11].id	https://openalex.org/C126322002
concepts[11].level	1
concepts[11].score	0.3790295124053955
concepts[11].wikidata	https://www.wikidata.org/wiki/Q11180
concepts[11].display_name	Internal medicine
concepts[12].id	https://openalex.org/C143998085
concepts[12].level	1
concepts[12].score	0.37349236011505127
concepts[12].wikidata	https://www.wikidata.org/wiki/Q162555
concepts[12].display_name	Oncology
concepts[13].id	https://openalex.org/C2908647359
concepts[13].level	2
concepts[13].score	0.18597760796546936
concepts[13].wikidata	https://www.wikidata.org/wiki/Q2625603
concepts[13].display_name	Population
concepts[14].id	https://openalex.org/C99454951
concepts[14].level	1
concepts[14].score	0.09967634081840515
concepts[14].wikidata	https://www.wikidata.org/wiki/Q932068
concepts[14].display_name	Environmental health
concepts[15].id	https://openalex.org/C144024400
concepts[15].level	0
concepts[15].score	0.0
concepts[15].wikidata	https://www.wikidata.org/wiki/Q21201
concepts[15].display_name	Sociology
concepts[16].id	https://openalex.org/C19165224
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q23404
concepts[16].display_name	Anthropology
keywords[0].id	https://openalex.org/keywords/breast-cancer
keywords[0].score	0.8165382742881775
keywords[0].display_name	Breast cancer
keywords[1].id	https://openalex.org/keywords/medicine
keywords[1].score	0.7538982629776001
keywords[1].display_name	Medicine
keywords[2].id	https://openalex.org/keywords/demography
keywords[2].score	0.6723915338516235
keywords[2].display_name	Demography
keywords[3].id	https://openalex.org/keywords/ethnic-group
keywords[3].score	0.6666620969772339
keywords[3].display_name	Ethnic group
keywords[4].id	https://openalex.org/keywords/cohort
keywords[4].score	0.5425238609313965
keywords[4].display_name	Cohort
keywords[5].id	https://openalex.org/keywords/socioeconomic-status
keywords[5].score	0.5156689882278442
keywords[5].display_name	Socioeconomic status
keywords[6].id	https://openalex.org/keywords/survivorship-curve
keywords[6].score	0.48784375190734863
keywords[6].display_name	Survivorship curve
keywords[7].id	https://openalex.org/keywords/proportional-hazards-model
keywords[7].score	0.4774076044559479
keywords[7].display_name	Proportional hazards model
keywords[8].id	https://openalex.org/keywords/cancer
keywords[8].score	0.47158944606781006
keywords[8].display_name	Cancer
keywords[9].id	https://openalex.org/keywords/cohort-study
keywords[9].score	0.41193562746047974
keywords[9].display_name	Cohort study
keywords[10].id	https://openalex.org/keywords/gerontology
keywords[10].score	0.4025980830192566
keywords[10].display_name	Gerontology
keywords[11].id	https://openalex.org/keywords/internal-medicine
keywords[11].score	0.3790295124053955
keywords[11].display_name	Internal medicine
keywords[12].id	https://openalex.org/keywords/oncology
keywords[12].score	0.37349236011505127
keywords[12].display_name	Oncology
keywords[13].id	https://openalex.org/keywords/population
keywords[13].score	0.18597760796546936
keywords[13].display_name	Population
keywords[14].id	https://openalex.org/keywords/environmental-health
keywords[14].score	0.09967634081840515
keywords[14].display_name	Environmental health
language	en
locations[0].id	doi:10.1158/1055-9965.c.6515452.v1
locations[0].is_oa	True
locations[0].source
locations[0].license	cc-by
locations[0].pdf_url
locations[0].version	acceptedVersion
locations[0].raw_type	posted-content
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	https://doi.org/10.1158/1055-9965.c.6515452.v1
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5047701227
authorships[0].author.orcid	https://orcid.org/0000-0002-2729-2360
authorships[0].author.display_name	Richard Sposto
authorships[0].author_position	first
authorships[0].raw_author_name	Richard Sposto
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5091575846
authorships[1].author.orcid	https://orcid.org/0000-0002-1961-4008
authorships[1].author.display_name	Theresa H.M. Keegan
authorships[1].author_position	middle
authorships[1].raw_author_name	Theresa H.M. Keegan
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5047243813
authorships[2].author.orcid	https://orcid.org/0000-0002-9789-1502
authorships[2].author.display_name	Cheryl Vigen
authorships[2].author_position	middle
authorships[2].raw_author_name	Cheryl Vigen
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5062761100
authorships[3].author.orcid	https://orcid.org/0000-0001-8863-3950
authorships[3].author.display_name	Marilyn L. Kwan
authorships[3].author_position	middle
authorships[3].raw_author_name	Marilyn L. Kwan
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5047280091
authorships[4].author.orcid	https://orcid.org/0000-0002-7692-6518
authorships[4].author.display_name	Leslie Bernstein
authorships[4].author_position	middle
authorships[4].raw_author_name	Leslie Bernstein
authorships[4].is_corresponding	False
authorships[5].author.id	https://openalex.org/A5050097355
authorships[5].author.orcid	https://orcid.org/0000-0003-3259-8003
authorships[5].author.display_name	Esther M. John
authorships[5].author_position	middle
authorships[5].raw_author_name	Esther M. John
authorships[5].is_corresponding	False
authorships[6].author.id	https://openalex.org/A5071334771
authorships[6].author.orcid	https://orcid.org/0000-0003-4132-2893
authorships[6].author.display_name	Iona Cheng
authorships[6].author_position	middle
authorships[6].raw_author_name	Iona Cheng
authorships[6].is_corresponding	False
authorships[7].author.id	https://openalex.org/A5100603287
authorships[7].author.orcid	https://orcid.org/0000-0003-3098-5413
authorships[7].author.display_name	Juan Yang
authorships[7].author_position	middle
authorships[7].raw_author_name	Juan Yang
authorships[7].is_corresponding	False
authorships[8].author.id	https://openalex.org/A5026288878
authorships[8].author.orcid	https://orcid.org/0000-0001-5532-1934
authorships[8].author.display_name	Jocelyn Koo
authorships[8].author_position	middle
authorships[8].raw_author_name	Jocelyn Koo
authorships[8].is_corresponding	False
authorships[9].author.id	https://openalex.org/A5067783851
authorships[9].author.orcid	https://orcid.org/0000-0002-6175-9470
authorships[9].author.display_name	Allison W. Kurian
authorships[9].author_position	middle
authorships[9].raw_author_name	Allison W. Kurian
authorships[9].is_corresponding	False
authorships[10].author.id	https://openalex.org/A5082578863
authorships[10].author.orcid	https://orcid.org/0000-0002-5803-310X
authorships[10].author.display_name	Bette J. Caan
authorships[10].author_position	middle
authorships[10].raw_author_name	Bette J. Caan
authorships[10].is_corresponding	False
authorships[11].author.id	https://openalex.org/A5024063300
authorships[11].author.orcid	https://orcid.org/0000-0002-5449-6078
authorships[11].author.display_name	Yani Lu
authorships[11].author_position	middle
authorships[11].raw_author_name	Yani Lu
authorships[11].is_corresponding	False
authorships[12].author.id	https://openalex.org/A5018560635
authorships[12].author.orcid	https://orcid.org/0000-0002-3016-2081
authorships[12].author.display_name	Kristine R. Monroe
authorships[12].author_position	middle
authorships[12].raw_author_name	Kristine R. Monroe
authorships[12].is_corresponding	False
authorships[13].author.id	https://openalex.org/A5075671008
authorships[13].author.orcid	https://orcid.org/0000-0002-2541-3333
authorships[13].author.display_name	Salma Shariff‐Marco
authorships[13].author_position	middle
authorships[13].raw_author_name	Salma Shariff-Marco
authorships[13].is_corresponding	False
authorships[14].author.id	https://openalex.org/A5085743511
authorships[14].author.orcid	https://orcid.org/0000-0002-5143-4867
authorships[14].author.display_name	Scarlett Lin Gomez
authorships[14].author_position	middle
authorships[14].raw_author_name	Scarlett Lin Gomez
authorships[14].is_corresponding	False
authorships[15].author.id	https://openalex.org/A5072047782
authorships[15].author.orcid	https://orcid.org/0000-0003-0546-902X
authorships[15].author.display_name	Anna H. Wu
authorships[15].author_position	last
authorships[15].raw_author_name	Anna H. Wu
authorships[15].is_corresponding	False
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://doi.org/10.1158/1055-9965.c.6515452.v1
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Data from The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10556
primary_topic.field.id	https://openalex.org/fields/27
primary_topic.field.display_name	Medicine
primary_topic.score	0.9988999962806702
primary_topic.domain.id	https://openalex.org/domains/4
primary_topic.domain.display_name	Health Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2730
primary_topic.subfield.display_name	Oncology
primary_topic.display_name	Global Cancer Incidence and Screening
related_works	https://openalex.org/W2080595199, https://openalex.org/W4253054937, https://openalex.org/W1970986626, https://openalex.org/W3101293115, https://openalex.org/W4220659419, https://openalex.org/W2045553337, https://openalex.org/W1940147302, https://openalex.org/W2076762411, https://openalex.org/W2133735819, https://openalex.org/W3117294067
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.1158/1055-9965.c.6515452.v1
best_oa_location.is_oa	True
best_oa_location.source
best_oa_location.license	cc-by
best_oa_location.pdf_url
best_oa_location.version	acceptedVersion
best_oa_location.raw_type	posted-content
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	https://doi.org/10.1158/1055-9965.c.6515452.v1
primary_location.id	doi:10.1158/1055-9965.c.6515452.v1
primary_location.is_oa	True
primary_location.source
primary_location.license	cc-by
primary_location.pdf_url
primary_location.version	acceptedVersion
primary_location.raw_type	posted-content
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	https://doi.org/10.1158/1055-9965.c.6515452.v1
publication_date	2023-03-31
publication_year	2023
referenced_works_count	0
abstract_inverted_index.a	64, 83, 128
abstract_inverted_index.HR	170
abstract_inverted_index.In	127
abstract_inverted_index.We	14, 76
abstract_inverted_index.at	192
abstract_inverted_index.by	167
abstract_inverted_index.do	216
abstract_inverted_index.in	3, 7, 21, 82, 104, 234
abstract_inverted_index.is	11
abstract_inverted_index.of	24, 69, 80
abstract_inverted_index.on	199
abstract_inverted_index.to	62, 100, 140, 174, 183
abstract_inverted_index.12%	124
abstract_inverted_index.17%	118, 121
abstract_inverted_index.CI,	145
abstract_inverted_index.Cox	86
abstract_inverted_index.HRs	138
abstract_inverted_index.The	43, 108, 177
abstract_inverted_index.age	133
abstract_inverted_index.and	27, 29, 97, 123, 134, 149, 156, 189, 207
abstract_inverted_index.are	33
abstract_inverted_index.can	39
abstract_inverted_index.for	18, 132, 152, 161, 171
abstract_inverted_index.had	196
abstract_inverted_index.may	210, 228
abstract_inverted_index.not	217
abstract_inverted_index.six	53
abstract_inverted_index.the	8, 22, 78, 101, 169, 230
abstract_inverted_index.(95%	144
abstract_inverted_index.0.52	150
abstract_inverted_index.1.00	147
abstract_inverted_index.1.13	175
abstract_inverted_index.1.69	143
abstract_inverted_index.body	95, 205
abstract_inverted_index.data	51, 61
abstract_inverted_index.from	52
abstract_inverted_index.here	227
abstract_inverted_index.most	178
abstract_inverted_index.only	131
abstract_inverted_index.plus	90
abstract_inverted_index.that	32
abstract_inverted_index.they	215
abstract_inverted_index.this	41
abstract_inverted_index.well	12
abstract_inverted_index.were	115, 142, 181
abstract_inverted_index.with	35, 58, 71
abstract_inverted_index.Asian	125, 157
abstract_inverted_index.Other	194, 222
abstract_inverted_index.Prev;	239
abstract_inverted_index.model	89, 129
abstract_inverted_index.size,	96, 206
abstract_inverted_index.those	225
abstract_inverted_index.women	70
abstract_inverted_index.12,098	111
abstract_inverted_index.25(7);	240
abstract_inverted_index.Breast	45
abstract_inverted_index.Cancer	46
abstract_inverted_index.States	10
abstract_inverted_index.United	9
abstract_inverted_index.Whites	141
abstract_inverted_index.breast	4, 36, 55, 74, 105, 136, 212
abstract_inverted_index.cancer	56, 59
abstract_inverted_index.cohort	68, 109
abstract_inverted_index.create	63
abstract_inverted_index.impact	198
abstract_inverted_index.large,	65
abstract_inverted_index.status	191
abstract_inverted_index.study,	135
abstract_inverted_index.women.	112
abstract_inverted_index.©2016	242
abstract_inverted_index.African	119, 153, 172
abstract_inverted_index.Whites,	117
abstract_inverted_index.besides	224
abstract_inverted_index.cancer.	75
abstract_inverted_index.disease	184
abstract_inverted_index.diverse	67
abstract_inverted_index.explain	40, 218, 229
abstract_inverted_index.factors	31, 223
abstract_inverted_index.percent	114
abstract_inverted_index.primary	72
abstract_inverted_index.related	182
abstract_inverted_index.smoking	190
abstract_inverted_index.status,	188
abstract_inverted_index.studies	57
abstract_inverted_index.whether	16
abstract_inverted_index.Although	201
abstract_inverted_index.Latinas,	122, 155
abstract_inverted_index.baseline	88
abstract_inverted_index.combined	49
abstract_inverted_index.examined	15, 77
abstract_inverted_index.existing	231
abstract_inverted_index.invasive	73
abstract_inverted_index.patient,	26
abstract_inverted_index.physical	93, 203
abstract_inverted_index.racially	66
abstract_inverted_index.reducing	168
abstract_inverted_index.registry	60
abstract_inverted_index.relative	139
abstract_inverted_index.reported	85
abstract_inverted_index.Adjusting	160
abstract_inverted_index.Americans	173
abstract_inverted_index.Epidemiol	237
abstract_inverted_index.activity,	94, 204
abstract_inverted_index.adjusting	130
abstract_inverted_index.clinical,	25
abstract_inverted_index.comprised	110
abstract_inverted_index.decreased	164
abstract_inverted_index.disparity	2, 103, 165, 233
abstract_inverted_index.influence	211
abstract_inverted_index.interview	50
abstract_inverted_index.lifestyle	28
abstract_inverted_index.mortality	6, 38, 220
abstract_inverted_index.primarily	166
abstract_inverted_index.variables	81, 99, 163, 180, 195, 209
abstract_inverted_index.1064–72.	241
abstract_inverted_index.Americans,	120, 154, 158
abstract_inverted_index.Americans.	126
abstract_inverted_index.Biomarkers	238
abstract_inverted_index.California	44
abstract_inverted_index.Consortium	48
abstract_inverted_index.Fifty-four	113
abstract_inverted_index.accounting	17
abstract_inverted_index.additional	91
abstract_inverted_index.associated	34
abstract_inverted_index.contextual	30
abstract_inverted_index.diagnosis.	193
abstract_inverted_index.mortality,	214
abstract_inverted_index.mortality.	235
abstract_inverted_index.negligible	197
abstract_inverted_index.non-Latina	116
abstract_inverted_index.prevalence	23
abstract_inverted_index.previously	84
abstract_inverted_index.regression	87
abstract_inverted_index.comorbidity	98, 208
abstract_inverted_index.contextual,	92, 202
abstract_inverted_index.differences	20
abstract_inverted_index.documented.	13
abstract_inverted_index.influential	179
abstract_inverted_index.Survivorship	47
abstract_inverted_index.contribution	79
abstract_inverted_index.investigated	226
abstract_inverted_index.neighborhood	186
abstract_inverted_index.(0.33–0.85)	151
abstract_inverted_index.1.46–1.96),	146
abstract_inverted_index.Racial/ethnic	1
abstract_inverted_index.racial/ethnic	19, 102, 219, 232
abstract_inverted_index.respectively.	159
abstract_inverted_index.socioeconomic	187
abstract_inverted_index.(0.84–1.19),	148
abstract_inverted_index.(0.96–1.33).	176
abstract_inverted_index.baseline-model	162
abstract_inverted_index.<i>Cancer	236
abstract_inverted_index.California-based	54
abstract_inverted_index.characteristics,	185
abstract_inverted_index.cancer–specific	5, 37, 106, 137, 213
abstract_inverted_index.AACR</i>.</p></div>	243
abstract_inverted_index.disparity.</p><p><b>Impact:</b>	221
abstract_inverted_index.disparity.</p><p><b>Methods:</b>	42
abstract_inverted_index.mortality.</p><p><b>Results:</b>	107
abstract_inverted_index.<div>Abstract<p><b>Background:</b>	0
abstract_inverted_index.disparity.</p><p><b>Conclusions:</b>	200
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	16
sustainable_development_goals[0].id	https://metadata.un.org/sdg/3
sustainable_development_goals[0].score	0.8600000143051147
sustainable_development_goals[0].display_name	Good health and well-being
citation_normalized_percentile.value	0.17740992
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False