Evidence map›Paper›PMID 30018099›Full record

ArticleBMJ open2018

Sex differences in the 1-year risk of dying following all-cause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalised population: a register-based cohort study of the Danish population.

Andreas Höhn, Lisbeth Aagaard Larsen, Daniel Christoph Schneider, Rune Lindahl-Jacobsen, Roland Rau, Kaare Christensen, Anna Oksuzyan

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Antibiotics (Basel, Switzerland) · 2022
    Article
  3. Article
  4. Article
  5. Sex differences in health and mortality by income and income changes.Journal of epidemiology and community health · 2020
    Article
  6. Article
  7. Article
  8. 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 at 3 institutions in 2 countries.

Andreas HöhnMax Planck Institute for Demographic Research, Rostock, Germany.
Lisbeth Aagaard LarsenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.
Daniel Christoph SchneiderMax Planck Institute for Demographic Research, Rostock, Germany.
Rune Lindahl-JacobsenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.
Roland RauMax Planck Institute for Demographic Research, Rostock, Germany.
Kaare ChristensenDepartment of Epidemiology, Biostatistics, and Biodemography, University of Southern Denmark, Odense, Denmark.
Anna OksuzyanMax Planck Institute for Demographic Research, Rostock, Germany.
University of Southern Denmark · DKMax Planck Institute for Demographic Research · DEUniversity of Rostock · DE

Funding

THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2009 to 2020
$10.2M
Biodemography of Disease and Death in MoscowR01AG026786 · NIA · DUKE UNIVERSITY · PI VAUPEL, JAMES W. · 2006 to 2010
$1.9M
NIA NIH HHS P01 AG031719NIA NIH HHS R01 AG026786
6 · The paper itself

Abstract

objectivesWe examine the mortality of men and women within the first year after all-cause and cause-specific hospital admission to investigate whether the sex differences in mortality after hospitalisation are higher than in the corresponding general and non-hospitalised population.

designThis is a population-based, longitudinal study with nationwide coverage. The study population was identified by linking the National Patient Register with the Central Population Register using a 5% random sample of the Danish population.

settingThe population born between 1898 and 1961, who was alive and residing in Denmark after 1977, was followed up between 1977 and 2011 with respect to hospital admissions and mortality while aged 50-79. PRIMARY OUTCOME MEASURES: The absolute sex differences in the 1-year risk of dying after all-cause and cause-specific hospital admission. The hospitalised population sex differentials were then compared with the sex differences in a general and a non-hospitalised population, randomly matched by age, sex and hospitalisation status.

resultsThe risk of dying was consistently higher for hospitalised men and women. At all ages, the absolute sex differences in mortality were largest in the hospitalised population, were smaller in the general population and were smallest in the non-hospitalised population. This pattern was consistent across all-cause admissions, and with respect to admissions for neoplasms, circulatory diseases and respiratory diseases. For all-cause hospital admissions, absolute sex differences in the 1-year risk of dying resulted in 43.8 excess male deaths per 1,000 individuals within the age range 50-79, while the levels were lower in the general and the non-hospitalised population, at levels of 13.5 and 6.6, respectively.

conclusionsThis study indicates a larger male disadvantage in mortality following hospitalisation, pointing towards an association between the health status of a population and the magnitude of the female advantage in mortality.

Indexed as

Health StatusMortalitySex DistributionAgedCase-Control StudiesDenmarkFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedRegistriesRisk FactorsTime Factorsepidemiologyhospitalizationmortalitysex differences

Identifiers

PMID30018099
PMCPMC6059308
OpenAlexW2884216789

What OpenQuestion holds

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LicenceCC BY-NC
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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.