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A prospective study of 1152 hospital autopsies: I. Inaccuracies in death certification

Cameron, H. M., McGoogan, E.·1981·The Journal of Pathology

Abstract

Comparison of certified clinical diagnoses with autopsy findings showed that, while the major cause of death was confirmed in 61 per cent. of cases, many diagnoses—both major and contributory—were wrong; many clinical diagnoses were either disproved or relegated to a less important role, and many autopsy findings had not apparently been anticipated. Accuracy was particularly poor in some clinical categories: notably cerebro‐vascular disease and infections. In these, the diagnosis was more often wrong than right. Thus, death certificates are unreliable as a source of diagnostic data. The clinician's confidence in his major diagnosis bore a fairly close relationship to the frequency of its confirmation. Nevertheless, even when certified as “fairly certain”, the major diagnosis was wrong in about one‐quarter of these cases. An attempt was made to assess the significance of incorrect diagnoses; one half of these might be clinically significant. Diagnostic accuracy did not improve with the time spent in hospital, and it bore an inverse relationship to the patient's age.

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Metadata

Authors
Cameron, H. M., & McGoogan, E.
Venue
The Journal of Pathology
Publisher
Wiley
Published
1981-04
Volume
133
Issue
4
Pages
273-283
ISSN
  • 0022-3417 (ISSN-L)
  • 1096-9896
OpenAlex
W2004570282
Cited by
303
References
0
FWCI
14.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A prospective study of 1152 hospital autopsies: I. Inaccuracies in death certification. https://app.cochat.ai/papers/10.1002/path.1711330402
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Cameron, H. M., & McGoogan, E. (1981). A prospective study of 1152 hospital autopsies: I. Inaccuracies in death certification. The Journal of Pathology. https://doi.org/10.1002/path.1711330402

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.