Evidence map›Paper›PMID 24989841›Full record

ArticleCancer causes & control : CCC2014

Ethnic and geographic variations in corpus uteri cancer burden: evidence based on data from 29 states and the District of Columbia. CI5 IX, X and SEER data (1998-2010).

Dominique Sighoko

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Dominique SighokoDepartment of Medicine, University of Chicago, 900 E, 57th Street, KCBD, HO 8, 8115C, Chicago, IL, 60637, USA, dsighoko@medicine.bsd.uchicago.edu.

Funding

International Partnership for Interdisciplinary Research TrainingD43TW009112 · FIC · UNIVERSITY OF CHICAGO · PI OLOPADE, CHRISTOPHER O, OLOPADE, OLUFUNMILAYO F. · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009112
6 · The paper itself

Abstract

purposeTo assess the pattern of corpus uteri cancer (CUC) in individual states of the USA according to ethnicity.

methodsPopulation-based cancer registries from 29 states and the District of Columbia with information on ethnicity for African-American women (AA) and Caucasian-American women (CA) were extracted from the Cancer Incidence in Five Continents (1998-2002, 2003-2007) and the Surveillance, Epidemiology, and End Results Program (SEER; 2008-2010) databases. Rate ratios (RRs) were calculated with respect to ethnicity, age, state, and region.

resultsIn southern states, AA had a lower CUC burden among women aged <60 years (AA/CA RR = 0.67; 95 % CI 0.64-0.70), whereas it was higher among women aged ≥60 years (AA/CA RR = 1.22; 95 % CI 1.19-1.26). In other regions, the lower CUC burden among AA aged <60 years was true in all states; however, the CUC burden among AA aged ≥60 years was similar to that of CA. Data for the most recent period (2008-2010) indicate that the age-dependent crossover in CUC burden was not anymore restricted to the South, but also occurred in other regions. Overall, women in the South have had the lowest CUC burden compared with that in all other regions, irrespective of ethnicity and age.

conclusionsSignificant geographic and ethnic variations in the CUC burden exist in the USA. The incidence of hysterectomy could be a factor underlying the geographic variations in CUC burden and particular attention should be given to older AA in southern states.

Indexed as

AdultAgedAged, 80 and overAge FactorsDatabases, FactualDemographyDistrict of ColumbiaEthnicityFemaleHumansHysterectomyIncidenceMiddle AgedRegistriesSEER ProgramUnited States

Identifiers

PMID24989841
PMCPMC6261364

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.