Evidence map›Paper›PMID 19130190›Full record

ArticleJournal of community health2009

Trends in lung cancer death rates in Belgium and The Netherlands: a systematic analysis of temporal patterns.

Mieke J J Van Hemelrijck, Zubair Kabir, Gregory N Connolly

Abstract read
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In one paragraph

Article in Journal of community health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Mieke J J Van HemelrijckDivision of Public Health Practice, Harvard School of Public Health, Landmark Center, Boston, MA 02215, USA. mvanheme@post.harvard.edu
Zubair Kabir
Gregory N Connolly
Harvard University · USTobaccoFree Research Institute · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Belgium and The Netherlands have fairly similar smoking prevalence patterns, but distinct tobacco control policies. It is our aim to use lung cancer death rates, especially among the youngest age groups (30-39 years), as indicators of past smoking behavioral patterns to evaluate recent tobacco control efforts in both countries. Lung cancer mortality rates from 1954 to 1997 and from 1950 to 2000 were investigated in Belgium and The Netherlands, respectively, using the joinpoint regression modeling technique (log-linear Poisson models) to calculate annual percent change in death rate. In the most recent period (1984-2000) overall male lung cancer death rates have been declining at a faster rate in The Netherlands than in Belgium. In contrast, overall female lung cancer death rates (between 1950 and 2000) have been increasing at a faster rate in The Netherlands than in Belgium. Since 1988, however, APCs in death rates among Dutch females have begun to level off. Interestingly, during this same period, a significant annual decline of 7.7% among the youngest Dutch women (30-39 years) has been observed. Tobacco use prevention and interventions seem to have an impact on smoking prevalence, especially among younger age groups. In The Netherlands, where aggressive anti-tobacco campaigns were introduced a few years earlier than in Belgium, male lung cancer mortality rates have been declining more rapidly, and female lung cancer mortality rates have begun to level off.

Indexed as

AdultAgedAged, 80 and overBelgiumFemaleHumansLung NeoplasmsMaleMiddle AgedMortalityNetherlandsVital Statistics

Identifiers

PMID19130190
OpenAlexW2089703660

What OpenQuestion holds

Textmetadata
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.