Evidence map›Paper›PMID 30567516›Full record

ArticleBMC cancer2018

Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal.

T Remen, J Pintos, M Abrahamowicz, J Siemiatycki

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  3. Tobacco Smoking and Risk of Second Primary Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2021
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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

4 authors at 2 institutions in 1 country.

T RemenUniversity of Montreal Hospital Research Center (CRCHUM), Montreal, Canada. thomas.remen@gmail.com.ORCID http://orcid.org/0000-0001-8370-7455
J PintosUniversity of Montreal Hospital Research Center (CRCHUM), Montreal, Canada.
M AbrahamowiczDepartment of Epidemiology and Biostatistics, McGill University, Montreal, Canada.
J SiemiatyckiUniversity of Montreal Hospital Research Center (CRCHUM), Montreal, Canada.
Université de Montréal · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew epidemiologic findings are as well established as the association between smoking and lung cancer. It is therefore somewhat surprising that there is not yet a clear consensus about the exposure-response relationships between various metrics of smoking and lung cancer risk. In part this is due to heterogeneity of how exposure-response results have been presented and the relative paucity of published results using any particular metric of exposure. The purposes of this study are: to provide new data on smoking-lung cancer associations and to explore the relative impact of different dimensions of smoking history on lung cancer risk.

methodsBased on a large lung cancer case-control study (1203 cases and 1513 controls) conducted in Montreal in 1996-2000, we estimated the lifetime prevalence of smoking and odds ratios in relation to several smoking metrics, both categorical and continuous based on multivariable unconditional logistic regression.

resultsOdds ratios (ORs) for ever vs never smoking were 7.82 among males and 11.76 among females. ORs increased sharply with every metric of smoking examined, more so for duration than for daily intensity. In models using continuous smoking variables, all metrics had strong effects on OR and mutual adjustment among smoking metrics did not noticeably attenuate the OR estimates, indicating that each metric carries some independent risk-related information. Among all the models tested, the one based on a smoking index that integrates several smoking dimensions, provided the best fitting model. Similar patterns were observed for the different histologic types of lung cancer.

conclusionsThis study provides many estimates of exposure-response relationships between smoking and lung cancer; these can be used in future meta-analyses. Irrespective of the histologic type of lung cancer and the smoking metric examined, high levels of smoking led to high levels of risk, for both men and women.

Indexed as

AdultAgedCanadaCase-Control StudiesFemaleHumansLogistic ModelsLung NeoplasmsMaleMiddle AgedOdds RatioRisk FactorsSmokingCigarettePack-yearsRisk assessmentTobacco

Identifiers

PMID30567516
PMCPMC6299933
OpenAlexW2904183131

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.