Evidence map›Paper›PMID 30713133›Full record

ArticleClinical colorectal cancer2019

Trends in Colorectal Cancer Incidence and Survival in Iowa SEER Data: The Timing of It All.

Rachel Carroll, Shanshan Zhao

Abstract readComparative Study
In one paragraph

Article in Clinical colorectal cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

2 authors.

Rachel CarrollNational Institute of Environmental Health Sciences, Durham, NC. Electronic address: rachel.carroll@nih.gov.
Shanshan ZhaoNational Institute of Environmental Health Sciences, Durham, NC.

Funding

Statistical Methods in EpidemiologyZIAES103307 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZHAO, SHANSHAN · 2015 to 2025
$8.5M
Application of Statistical Methods in Epidemiology StudiesZIAES103308 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZHAO, SHANSHAN · 2015 to 2025
$2.2M
Intramural NIH HHS Z99 ES999999Intramural NIH HHS ZIA ES103308
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is common worldwide, with 140,250 diagnoses and 50,630 deaths estimated for the United States in 2018. Guidelines current to the most recent individuals in our analysis suggested regular screenings beginning at age 50 have reduced the incidence of CRC. However, the incidence continues to rise among those under 50. Less is known about survival following CRC diagnosis, but research has suggested that younger cases may also have worse survival. However, we hypothesize that younger individuals are generally healthier with fewer comorbidities, leading to the potential for better survival following diagnosis. MATERIALS AND

methodsWe utilized the Surveillance, Epidemiology, and End Results data to estimate and assess both spatial and temporal variation in age-specific colorectal cancer incidence and survival in Iowa.

resultsBoth overall and older-onset colorectal cancer incidence began to decline in the early 2000s, whereas younger-onset incidences decreased until the late 1980s but then increased steeply through the 2000s. The risk for those younger than 50 years of age first exceeded the risk for those 50 years or older in 2007. Survival times did increase for overall CRC, older-onset CRC, and young-onset CRC throughout the study period, with young-onset CRC increasing at a higher rate. The spatial variation assessment indicated that the survival was positively associated with several variables of interest, most notably disparities including better access to healthcare and higher sociodemographic status.

conclusionIn conclusion, results suggest that regular colorectal screenings could reduce incidence and mortality in people under 50.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overAge FactorsColorectal NeoplasmsFemaleHumansIncidenceIowaMaleMiddle AgedSEER ProgramSpatio-Temporal AnalysisSurvival AnalysisColorectal cancerIncidenceRiskSpatial and temporal modelingSurvival

Identifiers

PMID30713133
PMCPMC7983285

What OpenQuestion holds

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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.