Evidence map›Paper›PMID 27023582›Full record

ArticleInternational journal of environmental research and public health2016

Age- and Sex-Specific Trends in Lung Cancer Mortality over 62 Years in a Nation with a Low Effort in Cancer Prevention.

Ulrich John, Monika Hanke

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Lung Cancer Mortality Trends in China from 1988 to 2013: New Challenges and Opportunities for the Government.International journal of environmental research and public health · 2016
    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

2 authors at 1 institution in 1 country.

Ulrich JohnInstitute of Social Medicine and Prevention, University Medicine Greifswald, Greifswald D-17489, Germany. ujohn@uni-greifswald.de.
Monika HankeInstitute of Social Medicine and Prevention, University Medicine Greifswald, Greifswald D-17489, Germany. hanke@uni-greifswald.de.
Universitätsmedizin Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA decrease in lung cancer mortality among females below 50 years of age has been reported for countries with significant tobacco control efforts. The aim of this study was to describe the lung cancer deaths, including the mortality rates and proportions among total deaths, for females and males by age at death in a country with a high smoking prevalence (Germany) over a time period of 62 years.

methodsThe vital statistics data were analyzed using a joinpoint regression analysis stratified by age and sex. An age-period-cohort analysis was used to estimate the potential effects of sex and school education on mortality.

resultsAfter an increase, lung cancer mortality among women aged 35-44 years remained stable from 1989 to 2009 and decreased by 10.8% per year from 2009 to 2013.

conclusionsLung cancer mortality among females aged 35-44 years has decreased. The potential reasons include an increase in the number of never smokers, following significant increases in school education since 1950, particularly among females.

Indexed as

AdultAgedAged, 80 and overAge FactorsCohort StudiesFemaleGermanyHumansLung NeoplasmsMaleMiddle AgedPrevalenceRegression AnalysisSex FactorsSmokingdeath ageeducationfemalelung cancer mortalityvital statistics

Identifiers

PMID27023582
PMCPMC4847024
OpenAlexW2304295007

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.