CoChat
Sign Up
Cited by 1,280

The DOI matches its Crossref record.

The Swedish cause of death register

Brooke, Hannah Louise, Talbäck, Mats, Hörnblad, Jesper, Johansson, Lars Age, Ludvigsson, Jonas Filip, Druid, Henrik, Feychting, Maria, Ljung, Rickard·2017·European Journal of Epidemiology
DOI 10.1007/s10654-017-0316-1PMC PMC5662659
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10654-017-0316-1

Cites

Statistics

Figures

Fig. 1 Deaths in males and females at each age according to underlying cause, as a proportion of all deaths 2006–2015
Fig. 1 Deaths in males and females at each age according to underlying cause, as a proportion of all deaths 2006–2015CC BY · PubMed Central
Fig. 2 Proportion of deaths in males and females at each age according to underlying cause, 2006–2015
Fig. 2 Proportion of deaths in males and females at each age according to underlying cause, 2006–2015CC BY · PubMed Central
Fig. 3 Time trends from 1969 to 2015 in the proportion of deaths in males and females age 0–39 and 40+ years according to underlying cause (Age-standardised to the Swedish population in 1969)
Fig. 3 Time trends from 1969 to 2015 in the proportion of deaths in males and females age 0–39 and 40+ years according to underlying cause (Age-standardised to the Swedish population in 1969)CC BY · PubMed Central
Fig. 4 Deaths at each age as a proportion of all deaths for 1750, 1800, 1850, 1900, 1950, 2000 and 2015 [Each line (except 2015) represents an aggregated and smoothed 5-year period]
Fig. 4 Deaths at each age as a proportion of all deaths for 1750, 1800, 1850, 1900, 1950, 2000 and 2015 [Each line (except 2015) represents an aggregated and smoothed 5-year period]CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 17

  1. Helweg-Larsen K. The Danish register of causes of death. Scand J Public Health. 2011;39(7 Suppl):26–9. · DOI
  2. Ludvigsson JF, et al. Ethical aspects of registry-based research in the Nordic countries. Clin Epidemiol. 2015;7:491–508. · DOI
  3. World Health Organisation. International statistical classification of diseases and related health problems—10th revision. 5th ed. Geneva: World Health Organisation; 2016.
  4. Druid H, et al. Computer-assisted systems for forensic pathology and forensic toxicology. J Forensic Sci. 1996;41(5):830–6. · DOI
  5. Alperovitch A, et al. Do we really know the cause of death of the very old? Comparison between official mortality statistics and cohort study classification. Eur J Epidemiol. 2009;24(11):669–75. · DOI
  6. Johansson LA, et al. Methodology of studies evaluating death certificate accuracy were flawed. J Clin Epidemiol. 2006;59(2):125–31. · DOI
  7. Johansson LA, et al. Unexplained differences between hospital and mortality data indicated mistakes in death certification: an investigation of 1094 deaths in Sweden during 1995. J Clin Epidemiol. 2009;62(11):1202–9. · DOI
  8. Fall K, et al. Reliability of death certificates in prostate cancer patients. Scand J Urol Nephrol. 2008;42(4):352–7. · DOI
  9. Eriksson A, et al. Accuracy of death certificates of cardiovascular disease in a community intervention in Sweden. Scand J Public Health. 2013;41(8):883–9. · DOI
  10. Shojania KG, et al. Changes in rates of autopsy-detected diagnostic errors over time: a systematic review. JAMA. 2003;289(21):2849–56. · DOI
  11. Lindahl BI, et al. Multiple cause-of-death data as a tool for detecting artificial trends in the underlying cause statistics: a methodological study. Scand J Soc Med. 1994;22(2):145–58. · DOI
  12. Jansson B, et al. National adaptations of the ICD rules for classification-a problem in the evaluation of cause-of-death trends. J Clin Epidemiol. 1997;50(4):367–75. · DOI
  13. Selik RM, et al. Increase in deaths caused by HIV infection due to changes in rules for selecting underlying cause of death. J Acquir Immune Defic Syndr. 2003;32(1):62–9. · DOI
  14. Lutz JM, et al. The impact of coding process on observed cancer mortality trends in Switzerland. Eur J Cancer Prev. 2004;13(1):77–81. · DOI
  15. Danielsson M, Talkbäck M. Public health: an overview. Health in Sweden: the national public health report 2012, chapter 1. Scand J Public Health. 2012;40(Suppl 9):6–22. · DOI
  16. National Board of Health and Welfare (Socialstyrelsen). Dörsorsaker 2010 (Causes of Death 2010), pp. 22–26 http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/18394/2011-7-6.pdf [Swedish] (2010).
  17. Ludvigsson JF, et al. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67. · DOI

Cited by

Sorted by citations

Metadata

Authors
Brooke, H. L., Talbäck, M., Hörnblad, J., Johansson, L. A., Ludvigsson, J. F., Druid, H., Feychting, M., & Ljung, R.
Venue
European Journal of Epidemiology
Publisher
Springer Science and Business Media LLC
Published
2017-09
Volume
32
Issue
9
Pages
765-773
ISSN
  • 0393-2990
  • 1573-7284
DOI
10.1007/s10654-017-0316-1
PMC
PMC5662659
Cited by
1,280
References
0
Language
en
Licence
creativecommons.org/licenses/by/4.0 (unspecified)
Funders
  • Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2015-01228)
  • Karolinska Institutet

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review