Evidence map›Paper›PMID 16410261›Full record

ArticleCarcinogenesis2006

Analysis of epidemiological cohort data on smoking effects and lung cancer with a multi-stage cancer model.

H Schöllnberger, M Manuguerra, H Bijwaard, H Boshuizen, H P Altenburg, S M Rispens, M J P Brugmans, P Vineis

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Carcinogenesis, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

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  12. Association of XRCC3 and XPD751 SNP with efficacy of platinum-based chemotherapy in advanced NSCLC patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2012
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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

8 authors at 4 institutions in 4 countries.

H SchöllnbergerRIVM, Laboratory for Radiation Research (LSO), Bilthoven, The Netherlands. helmut.schoellnberger@sbg.ac.at
M Manuguerra
H Bijwaard
H Boshuizen
H P Altenburg
S M Rispens
M J P Brugmans
P Vineis
German Cancer Research Center · DEImperial College London · GBNational Institute for Public Health and the Environment · NLUniversity of Turin · IT

Funding

Austrian Science Fund FWF P 18055
6 · The paper itself

Abstract

A stochastic two-stage cancer model is used to analyse the relation between lung cancer and cigarette smoking. The model contains the main rate-limiting stages of carcinogenesis, which include initiation, promotion (clonal expansion of initiated cells), malignant transformation and a lag time for tumour formation. Various data sets were used to test the model. These include the data of a large prospective collaborative project carried out in 10 different European countries, the European Prospective Investigation into Cancer and Nutrition (EPIC). This new data set has not been modelled before. The model is also tested on other published data from CPS-II (Cancer Prevention Study II) of the American Cancer Society and the British doctors' study. The analyses indicate that the EPIC data are best described with smoking dependence on the rates of malignant transformation and clonal expansion. With increasing smoking rates, saturation effects in the two exposure rate-dependent model parameters were observed. The results find confirmation in the biological literature, where both mutational effects and promotional effects of cigarette smoke are documented.

Indexed as

Models, BiologicalAdolescentAgedCohort StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedRisk FactorsSex FactorsSmokingStochastic Processes

Identifiers

PMID16410261
PMCPMC3085129
OpenAlexW2096634658

What OpenQuestion holds

Textmetadata
LicenceTDM
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.