Evidence mapPaperPMID 39102880Full record

ArticleJournal of the National Cancer Institute. Monographs2024

Landscape analysis of environmental data sources for linkage with SEER cancer patients database.

Zaria Tatalovich, Amina Chtourou, Li Zhu, Curt Dellavalle, Heidi A Hanson, Kevin A Henry, Lynne Penberthy

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Environmental factors shaping cancer outcomes in Alabama: A scoping review.Journal of cancer survivorship : research and practice · 2026
    Review
  2. The SEER Program's evolution: supporting clinically meaningful population-level research.Journal of the National Cancer Institute. Monographs · 2024
    Article
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

7 authors.

Zaria TatalovichSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.ORCID 0000-0003-2692-7077
Amina ChtourouSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Li ZhuSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Curt DellavalleSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Heidi A HansonComputational Sciences and Engineering Division, Oak Ridge National Laboratory, US Department of Energy, Oakridge, TN, USA.
Kevin A HenryTemple University, Philadelphia, PA, USA.
Lynne PenberthySurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.

Funding

Argonne National Laboratory DE-AC02-06-CH11357Department of EnergyJoint Design of Advanced Computing Solutions for CancerLawrence Livermore National Laboratory DEAC52-07NA27344Los Alamos National Laboratory DE-AC5206NA25396NCI NIH HHSNIH HHSOak Ridge National Laboratory DE-AC05-00OR22725
6 · The paper itself

Abstract

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research.

Indexed as

Environmental ExposureNeoplasmsSEER ProgramDatabases, FactualData CollectionHumansInformation SourcesNational Cancer Institute (U.S.)United States

Identifiers

PMID39102880
PMCPMC11300022

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.