ArticleCancer causes & control : CCC2011
The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations.
Article in Cancer causes & control : CCC, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
87 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum.Cancer medicine · 2022Pooled it
- Is Population Density Associated with Non-Communicable Disease in Western Developed Countries? A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Pooled it
- Neighborhood factors associated with time to resolution following an abnormal breast or cervical cancer screening test.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014Trial
- Neighborhood socioeconomic status in relation to mortality rates of gastrointestinal cancers among Asian American, Native Hawaiian, and Pacific Islander populations in California.Cancer causes & control : CCC · 2026Article
- The KPROCS Study: A Real-World and Research Resource to Investigate Multilevel Determinants of Ovarian Cancer Treatment and Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Health Atlas: Tutorial of a Visualization Tool and Data Resource for Place-Based Social and Structural Determinants of Health.Journal of medical Internet research · 2026Article
- Hybrid care engagement phenotypes and glycemic outcomes in diabetes: a cluster analysis across two health systems.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Identifying trajectories across care modalities before and after COVID-19 using sequence analysis.NPJ digital medicine · 2026Article
- Immigration and Social Factors, Tumor Stage, and Risk of Contralateral Breast Cancer in Asian American and Hispanic Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Assessing Upstream Structural and Social Drivers of Health in Breast Cancer Survivorship: The Pathways Study Neighborhood Resource.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Trajectories of In-Person and Remote Care Utilization: A Sequence Analysis of Primary Care Modalities Pre- and Post-COVID-19.Research square · 2025Article
- Historical redlining and mortality in children, adolescents, and young adults with cancer in California, 2000-2019.Journal of the National Cancer Institute · 2025Article
- Ethnic enclaves, neighborhood socioeconomic status, and obesity among Hispanic women in Chicago: a latent profile analysis approach.Cancer causes & control : CCC · 2025Article
- Association between neighborhood stressors and allostatic load in breast cancer survivors: the Pathways Study.American journal of epidemiology · 2025Article
- African Genetic Ancestry, Structural and Social Determinants of Health, and Mortality in Black Adults.JAMA network open · 2025Article
- Differences in Telemedicine Use for Patients With Diabetes in an Academic Versus Safety Net Health System: Retrospective Cohort Study.Journal of medical Internet research · 2025Article
- Disparities in Cancer Stage Shifts Associated with the COVID-19 Pandemic in California, 2020 to 2021.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- The Prognostic Significance of Nativity, Enclave Residence, and Socioeconomic Status Among Hispanic Patients with Hepatocellular Carcinoma.Annals of surgical oncology · 2024Article
- Characterizing Lung Cancer Burden Among Asian-American Communities in Philadelphia.Journal of racial and ethnic health disparities · 2024Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Research on neighborhoods and health has been growing. However, studies have not investigated the association of specific neighborhood measures, including socioeconomic and built environments, with cancer incidence or outcomes. We developed the California Neighborhoods Data System (CNDS), an integrated system of small area-level measures of socioeconomic and built environments for California, which can be readily linked to individual-level geocoded records. The CNDS includes measures such as socioeconomic status, population density, racial residential segregation, ethnic enclaves, distance to hospitals, walkable destinations, and street connectivity. Linking the CNDS to geocoded cancer patient information from the California Cancer Registry, we demonstrate the variability of CNDS measures by neighborhood socioeconomic status and predominant race/ethnicity for the 7,049 California census tracts, as well as by patient race/ethnicity. The CNDS represents an efficient and cost-effective resource for cancer epidemiology and control. It expands our ability to understand the role of neighborhoods with regard to cancer incidence and outcomes. Used in conjunction with cancer registry data, these additional contextual measures enable the type of transdisciplinary, "cells-to-society" research that is now being recognized as necessary for addressing population disparities in cancer incidence and outcomes.
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