Evidence map›Paper›PMID 29509274›Full record

ArticleCancer2018

Early estimates of cancer incidence for 2015: Expanding to include estimates for white and black races.

Denise Riedel Lewis, Huann-Sheng Chen, Myles G Cockburn, Xiao-Cheng Wu, Antoinette M Stroup, Douglas N Midthune, Zhaohui Zou, Martin F Krapcho, Daniel G Miller, Eric J Feuer

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Modeling Reporting Delay in Cancer Incidence Counts in the Evolving US and Canadian Population-Based Cancer Registry Environment.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

10 authors.

Denise Riedel LewisSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-3385-2958
Huann-Sheng ChenSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Myles G CockburnDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Xiao-Cheng WuLouisiana Tumor Registry, Louisiana State University, New Orleans, Louisiana.
Antoinette M StroupNew Jersey State Cancer Registry, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
Douglas N MidthuneBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland.
Zhaohui ZouInformation Management Systems Incorporated, Calverton, Maryland.
Martin F KrapchoInformation Management Systems Incorporated, Calverton, Maryland.
Daniel G MillerInformation Management Systems Incorporated, Calverton, Maryland.
Eric J FeuerSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundThe National Cancer Institute's cancer incidence estimates through 2015 from the Surveillance, Epidemiology, and End Results (SEER) registries' November 2017 submission are released in April 2018.

methodsEarly estimates (February 2017) of cancer incidence rates and trends from the SEER 18 registries for diagnoses in 2000 through 2015 were evaluated with a revised delay-adjustment model, which was used to adjust for the undercount of cases in the early release. For the first time, early estimates were produced for race (whites and blacks) along with estimates for new sites: the oral cavity and pharynx, leukemia, and myeloma.

resultsModel validation comparing delay-adjusted rates and trends through 2014 and using 2016 submissions showed good agreement. Differences in trends through 2015 in comparison with those through 2014 were evident. The rate of female breast cancer rose significantly from 2004 to 2015 by 0.3% per year (annual percent change [APC] = 0.3%); the prior trend through 2014 (the same magnitude) was not yet significant. The female colon and rectum cancer trend for whites became flat after previously declining. Lung and bronchus cancer for whites showed a significant decline (APC for males = -2.3%, 2012-2015; APC for females = -0.7%, 2011-2015). Thyroid cancer for black females changed from a continuous rise to a flat final segment (APC = 1.6%, not significant, 2011-2015). Both kidney and renal pelvis cancer (APC = 1.5%, 2011-2015) and childhood cancers (APC = 0.5%, 2000-2015) for white males showed a significant rise in the final segments from previously flat trends. Kidney and renal pelvis cancer for black males showed a change from a significant rise to a flat trend.

conclusionsThe early release of SEER data continues to be useful as a preliminary estimate of the most current cancer incidence trends. Cancer 2018;124:2192-204. © 2018 American Cancer Society.

Indexed as

AdolescentAgedBlack or African AmericanChildChild, PreschoolFemaleForecastingHumansIncidenceInfantInfant, NewbornMaleMiddle AgedNeoplasmsSEER ProgramUnited Statesannual percent changedelay adjustmentearly cancer rate estimates by raceearly estimates of cancer incidence ratespopulation-based registry data

Identifiers

PMID29509274
PMCPMC7505027

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Registered trials

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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.