Evidence map›Paper›PMID 30247206›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Testing Differential Associations Between Smoking and Chronic Disease Across Socioeconomic Groups: Pooled Data From 15 Prospective Studies.

Carlos de Mestral, Steven Bell, Emmanuel Stamatakis, G David Batty

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Carlos de MestralFrom the Research Department of Epidemiology and Public Health, University College London, London, United Kingdom.
Steven BellDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Emmanuel StamatakisCharles Perkins Centre, Epidemiology Unit, University of Sydney, Sydney, Australia.
G David BattyFrom the Research Department of Epidemiology and Public Health, University College London, London, United Kingdom.
University College London · GBUniversity of Cambridge · GBUniversity of Sydney · AU

Funding

ARACHIDONATE METABOLISM IN GLOMERULONEPHRITIS/VASCULITISK08HL001313 · NHLBI · WASHINGTON UNIVERSITY · PI LEFKOWITH, JAMES B · 1985 to 1988
–
British Heart Foundation RG/13/13/30194Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

backgroundFor the same quantity of cigarettes smoked, relative to more affluent people, socioeconomically disadvantaged people have higher levels of smoking biomarkers. This may be ascribed to inhaling cigarette smoke more deeply and more frequently and/or choosing higher tar-containing brands. We investigated whether this increased tobacco load, as captured using cotinine measurements, is associated with a greater risk of mortality in lower social groups.

methodsWe used Cox proportional hazards models stratified by socioeconomic position to calculate hazard ratios in a pooled sample of 15 English and Scottish prospective cohort studies (N = 81,476).

resultsDuring a mean (SD) follow-up of 10.3 (4.4) years, 8234 deaths occurred. Risk of total mortality (hazard ratio; 95% confidence interval) for smokers relative to never-smokers in the high (2.5; 2.1, 3.1), intermediate (2.1; 1.8, 2.4), and low (2.0; 1.9, 2.2) educational groups did not differ markedly (P for interaction=0.61). Similar findings emerged when using cause-specific outcomes and occupational social class and housing tenure as socioeconomic indices.

conclusionContrary to our hypothesis, we found no indication that chronic disease mortality associated with smoking was higher in disadvantaged people.

Indexed as

Socioeconomic FactorsAdolescentAdultAgedAged, 80 and overChronic DiseaseCotinineEnglandFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesScotlandSmokingCotinine

Identifiers

PMID30247206
PMCPMC6278911
OpenAlexW2894055717

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.