Evidence map›Paper›PMID 27169472›Full record

ArticleBMC public health2016

The future excess fraction model for calculating burden of disease.

Lin Fritschi, Jayzii Chan, Sally J Hutchings, Tim R Driscoll, Adrian Y W Wong, Renee N Carey

Abstract read
In one paragraph

Article in BMC public health, 2016. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Validation of Canproj for projecting Canadian cancer incidence data.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2020
    Article
  4. Article
  5. The Global Burden of Occupational Disease.Current environmental health reports · 2017
    Review
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

6 authors.

Lin FritschiSchool of Public Health, Curtin University, Perth, Australia. lin.fritschi@curtin.edu.au.
Jayzii ChanDepartment of Mathematics and Statistics, Curtin University, Perth, Australia.
Sally J HutchingsDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Tim R DriscollSchool of Public Health, University of Sydney, Sydney, Australia.
Adrian Y W WongDepartment of Mathematics and Statistics, Curtin University, Perth, Australia.
Renee N CareySchool of Public Health, Curtin University, Perth, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimates of the burden of disease caused by a particular agent are used to assist in making policy and prioritizing actions. Most estimations have employed the attributable fraction approach, which estimates the proportion of disease cases or deaths in a specific year which are attributable to past exposure to a particular agent. While this approach has proven extremely useful in quantifying health effects, it requires historical data on exposures which are not always available.

methodsWe present an alternative method, the future excess fraction method, which is based on the lifetime risk approach, and which requires current rather than historical exposure data. This method estimates the future number of exposure-related disease cases or deaths occurring in the subgroup of the population who were exposed to the particular agent in a specific year. We explain this method and use publically-available data on current asbestos exposure and mesothelioma incidence to demonstrate the use of the method.

conclusionsOur approach to modelling burden of disease is useful when there are no historical measures of exposure and where future disease rates can be projected on person years at risk.

Indexed as

Cost of IllnessAdolescentAdultAgedAsbestosFemaleHumansIncidenceMaleMesotheliomaMiddle AgedRiskYoung AdultAsbestosBurden of diseaseMethodologyPolicyPrevention

Identifiers

PMID27169472
PMCPMC4865002

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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.