Evidence map›Paper›PMID 28643029›Full record

ArticleInternational journal of public health2017

Impact of preventable risk factors on stroke in the EPICOR study: does gender matter?

Slavica Trajkova, Angelo d'Errico, Fulvio Ricceri, Francesca Fasanelli, Valeria Pala, Claudia Agnoli, Rosario Tumino, Graziella Frasca, Giovanna Masala, Calogero Saieva and 4 more

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Article in International journal of public health, 2017. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
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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

14 authors.

Slavica TrajkovaUnit of Cancer Epidemiology, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza University-Hospital Center for Cancer Prevention (CPO), Turin, Italy.
Angelo d'ErricoUnit of Epidemiology, Regional Health Service, Grugliasco, Turin, Italy.
Fulvio RicceriUnit of Cancer Epidemiology, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza University-Hospital Center for Cancer Prevention (CPO), Turin, Italy.
Francesca FasanelliUnit of Cancer Epidemiology, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza University-Hospital Center for Cancer Prevention (CPO), Turin, Italy.
Valeria PalaEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Claudia AgnoliEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Rosario TuminoCancer Registry, Department of Prevention, ASP, Ragusa, Italy.
Graziella FrascaCancer Registry, Department of Prevention, ASP, Ragusa, Italy.
Giovanna MasalaCancer Risk Factors and Lifestyle Epidemiology Unit Cancer Research and Prevention Institute-ISPO, Florence, Italy.
Calogero SaievaCancer Risk Factors and Lifestyle Epidemiology Unit Cancer Research and Prevention Institute-ISPO, Florence, Italy.
Paolo ChiodiniDepartment of Physical and Mental Health and Prevention, Second University of Naples, Naples, Italy.
Amalia MattielloDepartment of Clinical Medicine and Surgery, Federico II University, Naples, Italy.
Carlotta SacerdoteUnit of Cancer Epidemiology, Department of Medical Sciences, University of Turin and Città della Salute e della Scienza University-Hospital Center for Cancer Prevention (CPO), Turin, Italy. carlotta.sacerdote@cpo.it.
Salvatore PanicoDepartment of Clinical Medicine and Surgery, Federico II University, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe effect of modifiable stroke risk factors in terms of prevented cases remains unclear due to sex-specific disease rate and risk factors prevalence. Our aim was to estimate their impact on stroke by gender through population-attributable fraction (PAF), preventive fraction (PF) and their combination in EPIC-Italian cohort.

methods43,976 participants, age 34-75, and free of cardiovascular disease at baseline (1993-1998) were followed up for almost 11 years. Adjusted hazard ratios and PAF were estimated using Cox models.

resultsWe identified 386 cases. In males, the burden for stroke was 17% (95% CI 4-28%) for smoking and 14% (95% CI 5-22%) for alcohol consumption. In females, hypertension was carrying the biggest burden with 18% (95% CI 9-26%) followed by smoking 15% (95% CI 7-22%). Their combination was 46% (95% CI 32-58%) in males and 48% (95% CI 35-59%) in females. PF for current smokers was gender unequal [males 21% (95% CI 15-27%) females 9% (95% CI 1-17%)].

conclusionsHalf of strokes are attributable to potentially modifiable factors. The proportion of prevented cases is gender unbalanced, encouraging sex-specific intervention.

Indexed as

AdultAgedCohort StudiesFemaleHumansItalyMaleMiddle AgedRisk FactorsSex DistributionStrokeCohort studyGender medicinePopulation-attributable fractionPreventive fractionRisk factorsStroke

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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.