Evidence map›Paper›PMID 38971917›Full record

ArticleEuropean journal of epidemiology2024

Estimating and displaying population attributable fractions using the R package: graphPAF.

John Ferguson, Maurice O'Connell

Abstract read
In one paragraph

Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  17. Sleep disorders as risk factors for calcific aortic stenosis.American journal of preventive cardiology · 2025
    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

2 authors.

John FergusonBiostatistics Unit, HRB Clinical Research Facility Galway, University of Galway, Galway City, Ireland. john.ferguson@universityofgalway.ie.ORCID http://orcid.org/0000-0001-8475-398X
Maurice O'ConnellBiostatistics Unit, HRB Clinical Research Facility Galway, University of Galway, Galway City, Ireland.

Funding

Health Research Board EIA-2017-017
6 · The paper itself

Abstract

Here we introduce graphPAF, a comprehensive R package designed for estimation, inference and display of population attributable fractions (PAF) and impact fractions. In addition to allowing inference for standard population attributable fractions and impact fractions, graphPAF facilitates display of attributable fractions over multiple risk factors using fan-plots and nomograms, calculations of attributable fractions for continuous exposures, inference for attributable fractions appropriate for specific risk factor

Indexed as

Bayes TheoremHumansRisk AssessmentRisk FactorsSoftwareBayesian networkContinuous exposureDirected acyclic graphImpact fractionPopulation attributable fraction

Identifiers

PMID38971917
PMCPMC11343908

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.