Evidence map›Paper›PMID 37083306›Full record

ArticleCancer medicine2023

Effect modification of age and hypertension on cancer and prevalence of self-reported stroke - A cross-sectional study.

Ronda Lun, Joseph R Shaw, Danielle Carole Roy, Deborah Siegal, Tim Ramsay, Yue Chen, Dar Dowlatshahi

Abstract read
In one paragraph

Article in Cancer medicine, 2023. 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
–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

2 citing papers in PubMed.

  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

7 authors.

Ronda LunDivision of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0001-8455-8201
Joseph R ShawUniversity of Ottawa, School of Epidemiology, Ottawa, Ontario, Canada.
Danielle Carole RoyUniversity of Ottawa, School of Epidemiology, Ottawa, Ontario, Canada.ORCID 0000-0001-9154-4123
Deborah SiegalUniversity of Ottawa, School of Epidemiology, Ottawa, Ontario, Canada.
Tim RamsayUniversity of Ottawa, School of Epidemiology, Ottawa, Ontario, Canada.
Yue ChenUniversity of Ottawa, School of Epidemiology, Ottawa, Ontario, Canada.
Dar DowlatshahiDivision of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to examine the effect modification of age on the relationship between cancer and prevalence of self-reported stroke. We used cross-sectional data from the 2015-2016 iteration of the Canadian Community Health Survey. A multivariable logistic regression model was used to assess the association between cancer and self-reported stroke. Covariates were assessed for effect modification using the maximum likelihood estimation method. We analyzed 86,809 subjects; the prevalence of self-reported stroke was 1.11%. The odds ratio for the association between cancer and self-reported stroke was 1.26 (95% CI 0.98-1.61) after adjusting for age, sex, dyslipidemia, hypertension, diabetes, heart disease, education, and household income. Age and hypertension were found to be effect modifiers, and the association between cancer and self-reported stroke was stronger in younger adults and in those without hypertension. These results suggest that cancer-associated strokes may have unique underlying mechanisms compared to conventional strokes.

Indexed as

HypertensionNeoplasmsStrokeAdultCanadaCross-Sectional StudiesHumansPrevalenceRisk FactorsSelf Reportcancercerebrovascular diseaseeffect modificationprevalencestroke

Identifiers

PMID37083306
PMCPMC10278503

What OpenQuestion holds

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Registered trials

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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.