Accuracy of Death Certificates: A Population-Based, Complete-Coverage, One-Year Autopsy Study in East Germany
The Goerlitz Autopsy Study is a population-based autopsy study, conducted in 1987 in the municipality of Goerlitz, population 78,484, in former East Germany. It is unique in that 1,023 (96.5 percent) of the 1,060 subjects who died in the municipality over a period of one year were investigated by fu...
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Veröffentlicht in: | Cancer causes & control 1992-11, Vol.3 (6), p.541-546 |
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description | The Goerlitz Autopsy Study is a population-based autopsy study, conducted in 1987 in the municipality of Goerlitz, population 78,484, in former East Germany. It is unique in that 1,023 (96.5 percent) of the 1,060 subjects who died in the municipality over a period of one year were investigated by full autopsy. An underlying cause was assigned to every death, using the procedures recommended by the International Classification of Diseases, Injuries and Causes of Death, ninth revision, German edition. Assignment of cause of death was done independently by the attending clinician and the pathology team who performed the autopsy. The data were analyzed through cross-classification of deaths by death certificate diagnosis and autopsy-based diagnosis. Sensitivity and positive predictive values were calculated for the death certificate diagnoses, assuming that the autopsy findings represent the correct reference set. Overall, 47 percent of diagnoses on death certificates differed from those based on autopsy and, for 30 percent of the subjects, the difference crossed a major disease category. The proportion of disagreement was higher for deaths occurring in nursing homes and among the very old, but was unrelated to gender. In the death certificates, diseases of the circulatory system and endocrine and metabolic disorders were over-represented, whereas infectious diseases, neoplasms, and respiratory, digestive, and genitourinary diseases were under-represented. Neoplasms in the death certificates are characterized by relatively high sensitivity and predictive values, even though these were still unsatisfactory, given the chronicity of the clinical course and the opportunities available for correct diagnosis. Infections and respiratory diseases in the death certificates have low sensitivity but comparatively high predictive values, because these disease categories have relatively high diagnostic specificity. In contrast, circulatory diseases in the death certificates have high sensitivity but modest predictive value, because of their relatively low diagnostic specificity. These results reinforce the concern about the accuracy of death certificates and their potential for utilization in epidemiologic studies. |
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It is unique in that 1,023 (96.5 percent) of the 1,060 subjects who died in the municipality over a period of one year were investigated by full autopsy. An underlying cause was assigned to every death, using the procedures recommended by the International Classification of Diseases, Injuries and Causes of Death, ninth revision, German edition. Assignment of cause of death was done independently by the attending clinician and the pathology team who performed the autopsy. The data were analyzed through cross-classification of deaths by death certificate diagnosis and autopsy-based diagnosis. Sensitivity and positive predictive values were calculated for the death certificate diagnoses, assuming that the autopsy findings represent the correct reference set. Overall, 47 percent of diagnoses on death certificates differed from those based on autopsy and, for 30 percent of the subjects, the difference crossed a major disease category. The proportion of disagreement was higher for deaths occurring in nursing homes and among the very old, but was unrelated to gender. In the death certificates, diseases of the circulatory system and endocrine and metabolic disorders were over-represented, whereas infectious diseases, neoplasms, and respiratory, digestive, and genitourinary diseases were under-represented. Neoplasms in the death certificates are characterized by relatively high sensitivity and predictive values, even though these were still unsatisfactory, given the chronicity of the clinical course and the opportunities available for correct diagnosis. Infections and respiratory diseases in the death certificates have low sensitivity but comparatively high predictive values, because these disease categories have relatively high diagnostic specificity. In contrast, circulatory diseases in the death certificates have high sensitivity but modest predictive value, because of their relatively low diagnostic specificity. These results reinforce the concern about the accuracy of death certificates and their potential for utilization in epidemiologic studies.</description><identifier>ISSN: 0957-5243</identifier><identifier>EISSN: 1573-7225</identifier><identifier>DOI: 10.1007/BF00052751</identifier><identifier>PMID: 1420857</identifier><language>eng</language><publisher>Netherlands: Rapid Communications of Oxford Ltd</publisher><subject>Aged ; Aged, 80 and over ; Autopsies ; Autopsy - statistics & numerical data ; Cardiovascular Diseases - mortality ; Cause of Death ; Causes of death ; Death Certificates ; Epidemiology ; Female ; Germany, East - epidemiology ; Humans ; Infectious diseases ; International Statistical Classification of Diseases ; Male ; Mental illness ; Metabolic diseases ; Neoplasia ; Neoplasms - mortality ; Predictive Value of Tests ; Reproducibility of Results ; Research Papers ; Respiratory diseases ; Sensitivity and Specificity</subject><ispartof>Cancer causes & control, 1992-11, Vol.3 (6), p.541-546</ispartof><rights>Copyright 1992 Rapid Communications of Oxford Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c303t-9e9148edd64b65a25eddbc94326d99fa816fb97d5c9ebc7a305629d2a42849953</citedby><cites>FETCH-LOGICAL-c303t-9e9148edd64b65a25eddbc94326d99fa816fb97d5c9ebc7a305629d2a42849953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3552863$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3552863$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57995,58228</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/1420857$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Modelmog, Dieter</creatorcontrib><creatorcontrib>Rahlenbeck, Sibylle</creatorcontrib><creatorcontrib>Trichopoulos, Dimitrios</creatorcontrib><title>Accuracy of Death Certificates: A Population-Based, Complete-Coverage, One-Year Autopsy Study in East Germany</title><title>Cancer causes & control</title><addtitle>Cancer Causes Control</addtitle><description>The Goerlitz Autopsy Study is a population-based autopsy study, conducted in 1987 in the municipality of Goerlitz, population 78,484, in former East Germany. It is unique in that 1,023 (96.5 percent) of the 1,060 subjects who died in the municipality over a period of one year were investigated by full autopsy. An underlying cause was assigned to every death, using the procedures recommended by the International Classification of Diseases, Injuries and Causes of Death, ninth revision, German edition. Assignment of cause of death was done independently by the attending clinician and the pathology team who performed the autopsy. The data were analyzed through cross-classification of deaths by death certificate diagnosis and autopsy-based diagnosis. Sensitivity and positive predictive values were calculated for the death certificate diagnoses, assuming that the autopsy findings represent the correct reference set. Overall, 47 percent of diagnoses on death certificates differed from those based on autopsy and, for 30 percent of the subjects, the difference crossed a major disease category. The proportion of disagreement was higher for deaths occurring in nursing homes and among the very old, but was unrelated to gender. In the death certificates, diseases of the circulatory system and endocrine and metabolic disorders were over-represented, whereas infectious diseases, neoplasms, and respiratory, digestive, and genitourinary diseases were under-represented. Neoplasms in the death certificates are characterized by relatively high sensitivity and predictive values, even though these were still unsatisfactory, given the chronicity of the clinical course and the opportunities available for correct diagnosis. Infections and respiratory diseases in the death certificates have low sensitivity but comparatively high predictive values, because these disease categories have relatively high diagnostic specificity. In contrast, circulatory diseases in the death certificates have high sensitivity but modest predictive value, because of their relatively low diagnostic specificity. These results reinforce the concern about the accuracy of death certificates and their potential for utilization in epidemiologic studies.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Autopsies</subject><subject>Autopsy - statistics & numerical data</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cause of Death</subject><subject>Causes of death</subject><subject>Death Certificates</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Germany, East - epidemiology</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>International Statistical Classification of Diseases</subject><subject>Male</subject><subject>Mental illness</subject><subject>Metabolic diseases</subject><subject>Neoplasia</subject><subject>Neoplasms - mortality</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>Research Papers</subject><subject>Respiratory diseases</subject><subject>Sensitivity and Specificity</subject><issn>0957-5243</issn><issn>1573-7225</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkEtLxDAUhYMo4_jYuFbIyoVYzaNpGncz9QnCCOrCVUnTW-3QNjVJhf57Z5hBV_fA93HgHoROKLmihMjr-T0hRDAp6A6aUiF5JBkTu2hKlJCRYDHfRwfeL9dWwsgETWjMSCrkFLUzYwanzYhthW9Bhy-cgQt1VRsdwN_gGX6x_dDoUNsummsP5SXObNs3ECDK7A84_QmXeNFB9AHa4dkQbO9H_BqGcsR1h--0D_gBXKu78QjtVbrxcLy9h-j9_u4te4yeFw9P2ew5MpzwEClQNE6hLJO4SIRmYhULo2LOklKpSqc0qQolS2EUFEZqvn5LlUzHLI2VEvwQnW96e2e_B_Ahb2tvoGl0B3bwueQspakiK_FiIxpnvXdQ5b2rW-3GnJJ8vW3-v-1KPtu2DkUL5b-6GXPFTzd86YN1f5gLwdKE818IKHxa</recordid><startdate>19921101</startdate><enddate>19921101</enddate><creator>Modelmog, Dieter</creator><creator>Rahlenbeck, Sibylle</creator><creator>Trichopoulos, Dimitrios</creator><general>Rapid Communications of Oxford Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>19921101</creationdate><title>Accuracy of Death Certificates: A Population-Based, Complete-Coverage, One-Year Autopsy Study in East Germany</title><author>Modelmog, Dieter ; Rahlenbeck, Sibylle ; Trichopoulos, Dimitrios</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-9e9148edd64b65a25eddbc94326d99fa816fb97d5c9ebc7a305629d2a42849953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Autopsies</topic><topic>Autopsy - statistics & numerical data</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cause of Death</topic><topic>Causes of death</topic><topic>Death Certificates</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Germany, East - epidemiology</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>International Statistical Classification of Diseases</topic><topic>Male</topic><topic>Mental illness</topic><topic>Metabolic diseases</topic><topic>Neoplasia</topic><topic>Neoplasms - mortality</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>Research Papers</topic><topic>Respiratory diseases</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Modelmog, Dieter</creatorcontrib><creatorcontrib>Rahlenbeck, Sibylle</creatorcontrib><creatorcontrib>Trichopoulos, Dimitrios</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer causes & control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Modelmog, Dieter</au><au>Rahlenbeck, Sibylle</au><au>Trichopoulos, Dimitrios</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy of Death Certificates: A Population-Based, Complete-Coverage, One-Year Autopsy Study in East Germany</atitle><jtitle>Cancer causes & control</jtitle><addtitle>Cancer Causes Control</addtitle><date>1992-11-01</date><risdate>1992</risdate><volume>3</volume><issue>6</issue><spage>541</spage><epage>546</epage><pages>541-546</pages><issn>0957-5243</issn><eissn>1573-7225</eissn><abstract>The Goerlitz Autopsy Study is a population-based autopsy study, conducted in 1987 in the municipality of Goerlitz, population 78,484, in former East Germany. It is unique in that 1,023 (96.5 percent) of the 1,060 subjects who died in the municipality over a period of one year were investigated by full autopsy. An underlying cause was assigned to every death, using the procedures recommended by the International Classification of Diseases, Injuries and Causes of Death, ninth revision, German edition. Assignment of cause of death was done independently by the attending clinician and the pathology team who performed the autopsy. The data were analyzed through cross-classification of deaths by death certificate diagnosis and autopsy-based diagnosis. Sensitivity and positive predictive values were calculated for the death certificate diagnoses, assuming that the autopsy findings represent the correct reference set. Overall, 47 percent of diagnoses on death certificates differed from those based on autopsy and, for 30 percent of the subjects, the difference crossed a major disease category. The proportion of disagreement was higher for deaths occurring in nursing homes and among the very old, but was unrelated to gender. In the death certificates, diseases of the circulatory system and endocrine and metabolic disorders were over-represented, whereas infectious diseases, neoplasms, and respiratory, digestive, and genitourinary diseases were under-represented. Neoplasms in the death certificates are characterized by relatively high sensitivity and predictive values, even though these were still unsatisfactory, given the chronicity of the clinical course and the opportunities available for correct diagnosis. Infections and respiratory diseases in the death certificates have low sensitivity but comparatively high predictive values, because these disease categories have relatively high diagnostic specificity. In contrast, circulatory diseases in the death certificates have high sensitivity but modest predictive value, because of their relatively low diagnostic specificity. These results reinforce the concern about the accuracy of death certificates and their potential for utilization in epidemiologic studies.</abstract><cop>Netherlands</cop><pub>Rapid Communications of Oxford Ltd</pub><pmid>1420857</pmid><doi>10.1007/BF00052751</doi><tpages>6</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Autopsies Autopsy - statistics & numerical data Cardiovascular Diseases - mortality Cause of Death Causes of death Death Certificates Epidemiology Female Germany, East - epidemiology Humans Infectious diseases International Statistical Classification of Diseases Male Mental illness Metabolic diseases Neoplasia Neoplasms - mortality Predictive Value of Tests Reproducibility of Results Research Papers Respiratory diseases Sensitivity and Specificity |
title | Accuracy of Death Certificates: A Population-Based, Complete-Coverage, One-Year Autopsy Study in East Germany |
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