Evidence map›Paper›PMID 35363673›Full record

ArticleJournal of registry management2020

Visualizing Cancer Incidence and Mortality Estimates by Congressional Districts, United States 2012-2016.

Virginia Senkomago, Trevor D Thompson, Lia C Scott, Simple D Singh, Mary Elizabeth O'Neil, Reda Wilson, Jessica B King, Melissa M Jim, Hua Lu, Manxia Wu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of registry management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors.

Virginia Senkomago
Trevor D Thompson
Lia C Scott
Simple D Singh
Mary Elizabeth O'Neil
Reda Wilson
Jessica B King
Melissa M Jim
Hua Lu
Manxia Wu
Vicki B Benard
Lisa C Richardson

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundCancer incidence and death rates in the United States are often published at the county or statelevels; examining cancer statistics at the congressional district (CD) level allows decision makers to better understand how cancer is impacting the specific populations they represent.

methodsCancer incidence data were obtained from the Centers for Disease Control and Prevention's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. Mortality data were obtained from the National Center for Health Statistics. CD rates were estimated by assigning the county-level age-adjusted rates to the census block and weighting those by the block population proportion of the CD. Those weighted rates were then aggregated over the blocks within the CD to estimate the district rate. Incidence rate estimates for 406 CDs and death rate estimates for 436 CDs were reported according to the boundaries for the 115th Congress of the United States. Maps showing rate estimates for all cancers combined, lung/bronchus, colorectal, female breast, cervical, and prostate cancer are presented by sex and race/ethnicity.

resultsThe distribution of cancer incidence and death rates by CDs show similar patterns to those that have been observed at the county and state levels, with the highest cancer incidence and death rates observed in CDs in the South and Eastern regions.

conclusionThis examination of cancer rates at the CD-level provides data that can be used to inform cancer control strategies at the local and national levels. Displaying the data with the Data Visualizations tool makes it easily accessible to the public and decision makers.

Indexed as

cancercancer incidencecancer mortalitycongressional districtsmall-area estimates

Identifiers

PMID35363673
PMCPMC8978538
OpenAlexW4287943857

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.