Evidence map›Paper›PMID 38819553›Full record

ArticleEuropean journal of epidemiology2024

Trends in incidence and mortality of early-onset cancer in Germany between 1999 and 2019.

Dina Voeltz, Kira Baginski, Claudia Hornberg, Annika Hoyer

Erratum issuedAbstract read
In one paragraph

Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Dina VoeltzBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany. dina.voeltz@uni-bielefeld.de.ORCID http://orcid.org/0000-0002-7579-7144
Kira BaginskiBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.ORCID http://orcid.org/0009-0006-6414-9754
Claudia HornbergDepartment of Environmental Health Sciences, Medical School OWL, Bielefeld University, Bielefeld, Germany.ORCID http://orcid.org/0009-0001-8203-9018
Annika HoyerBiostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.ORCID http://orcid.org/0000-0002-0241-9951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence on the recent temporal trend in the incidence and mortality of early-onset cancer, i.e., cancer diagnosed at ages of < 50 years, in Germany is scarce. To estimate the temporal trend in the incidence and mortality of early-onset cancer in Germany between 1999 and 2019. Input data were obtained from the Centre for Cancer Registry Data (Zentrum für Krebsregisterdaten, ZfKD). The analysis comprised all ages until 50 years and all types of cancer classified by the International Classification of Diseases (ICD-10)-codes C00-C97 (excl. C44). Temporal trends were estimated using negative binomial regression, differentiated by sex and cancer type. Between 1999 and 2019 in Germany, we observed stable or slightly increasing trends (0% and 1%) in the incidence of all early-onset cancers combined (C00-C97) for men and women, respectively, and strict declines in the mortality for both, men and women (-2% and - 3%). However, the trends differ largely with respect to sex and the individual cancer types. Early-onset cancer should be closely monitored to see whether stable and decreasing trends in the incidence and mortality continue. Knowing that despite decreasing incidence, the prevalence of a disease can rise due to their interplay with mortality, we recommend to maintain precise surveillance, efforts in prevention and early detection, as well as appropriate investments into healthcare resources, research and development.

Indexed as

Age of OnsetMortalityNeoplasmsRegistriesAdultFemaleGermanyHumansIncidenceMaleMiddle AgedSex DistributionCancerGermanyIncidenceMortality

Identifiers

PMID38819553
PMCPMC11343808

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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.