Evidence map›Paper›PMID 35709252›Full record

ArticlePLoS medicine2022

Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study.

Oleguer Plana-Ripoll, Julie W Dreier, Natalie C Momen, Anders Prior, Nanna Weye, Preben Bo Mortensen, Carsten B Pedersen, Kim Moesgaard Iburg, Maria Klitgaard Christensen, Thomas Munk Laursen and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

17 authors at 2 institutions in 3 countries.

Oleguer Plana-RipollNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-6470-7465
Julie W DreierNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9339-4170
Natalie C MomenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9832-8500
Anders PriorResearch Unit for General Practice, Aarhus, Denmark.ORCID 0000-0003-4053-3701
Nanna WeyeNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Preben Bo MortensenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Carsten B PedersenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-2077-8533
Kim Moesgaard IburgDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-8464-3668
Maria Klitgaard ChristensenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Thomas Munk LaursenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-6934-1784
Esben AgerboNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-2849-524X
Marianne G PedersenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-9707-5441
Jørgen BrandtDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.ORCID 0000-0002-7580-9547
Lise Marie FrohnDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.ORCID 0000-0002-4236-5708
Camilla GeelsDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.ORCID 0000-0003-2549-1750
Jesper H ChristensenDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.ORCID 0000-0002-6741-5839
John J McGrathNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-4792-6068
Aarhus University · DKThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe provision of different types of mortality metrics (e.g., mortality rate ratios [MRRs] and life expectancy) allows the research community to access a more informative set of health metrics. The aim of this study was to provide a panel of mortality metrics associated with a comprehensive range of disorders and to design a web page to visualize all results. METHODS AND

findingsIn a population-based cohort of all 7,378,598 persons living in Denmark at some point between 2000 and 2018, we identified individuals diagnosed at hospitals with 1,803 specific categories of disorders through the International Classification of Diseases-10th Revision (ICD-10) in the National Patient Register. Information on date and cause of death was obtained from the Registry of Causes of Death. For each of the disorders, a panel of epidemiological and mortality metrics was estimated, including incidence rates, age-of-onset distributions, MRRs, and differences in life expectancy (estimated as life years lost [LYLs]). Additionally, we examined models that adjusted for measures of air pollution to explore potential associations with MRRs. We focus on 39 general medical conditions to simplify the presentation of results, which cover 10 broad categories: circulatory, endocrine, pulmonary, gastrointestinal, urogenital, musculoskeletal, hematologic, mental, and neurologic conditions and cancer. A total of 3,676,694 males and 3,701,904 females were followed up for 101.7 million person-years. During the 19-year follow-up period, 1,034,273 persons (14.0%) died. For 37 of the 39 selected medical conditions, mortality rates were larger and life expectancy shorter compared to the Danish general population. For these 37 disorders, MRRs ranged from 1.09 (95% confidence interval [CI]: 1.09 to 1.10) for vision problems to 7.85 (7.77 to 7.93) for chronic liver disease, while LYLs ranged from 0.31 (0.14 to 0.47) years (approximately 16 weeks) for allergy to 17.05 (16.95 to 17.15) years for chronic liver disease. Adjustment for air pollution had very little impact on the estimates; however, a limitation of the study is the possibility that the association between the different disorders and mortality could be explained by other underlying factors associated with both the disorder and mortality.

conclusionsIn this study, we show estimates of incidence, age of onset, age of death, and mortality metrics (both MRRs and LYLs) for a comprehensive range of disorders. The interactive data visualization site (https://nbepi.com/atlas) allows more fine-grained analysis of the link between a range of disorders and key mortality estimates.

Indexed as

Air PollutionBenchmarkingCohort StudiesDenmarkFemaleHumansLife ExpectancyMaleMortality

Identifiers

PMID35709252
PMCPMC9202944
OpenAlexW4282974350

What OpenQuestion holds

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LicenceCC BY
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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.