Literature DB >> 8547540

The accuracy of prostate cancer staging in a population-based tumor registry and its impact on the black-white stage difference (Connecticut, United States).

W L Liu1, S Kasl, J T Flannery, A Lindo, R Dubrow.   

Abstract

Stage at diagnosis of prostate cancer is a major determinant of survival. Among Blacks, prostate cancer is diagnosed at a later stage of disease than among Whites. This study examined the accuracy of routine coding of prostate cancer stage in the Connecticut (United States) Tumor Registry (CTR) and its effect on the Black/White stage difference. Medical records were collected for 115 Black and 136 White men with prostate cancer diagnosed between 1987 and 1990. Stage at diagnosis was determined by a panel of two of the study members and compared with the stage in the CTR file. According to the panel, 32 percent of Blacks, but only 15 percent of Whites, were diagnosed with distant stage disease. Fifty-eight cases (26 percent of Whites and 20 percent of Blacks) were staged incorrectly by the CTR. Two-fifths of the errors were due to incomplete medical records at the CTR and three-fifths were due to CTR coding or data management errors. The more accurate staging did not have an appreciable impact on the Black/White stage difference. Further work is needed to characterize the accuracy of routinely coded cancer registry stage data for different cancer sites, to devise ways of improving accuracy, and to determine the impact of staging inaccuracies on research that utilizes these data.

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Year:  1995        PMID: 8547540     DOI: 10.1007/bf00052182

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  14 in total

1.  Black-white differences in stage-specific cancer survival: analysis of seven selected sites.

Authors:  K E Ragland; S Selvin; D W Merrill
Journal:  Am J Epidemiol       Date:  1991-04-01       Impact factor: 4.897

2.  The national survey of prostate cancer in the United States by the American College of Surgeons.

Authors:  G P Murphy; N Natarajan; J E Pontes; R L Schmitz; C R Smart; J D Schmidt; C Mettlin
Journal:  J Urol       Date:  1982-05       Impact factor: 7.450

3.  Current status of classification and staging of prostate cancer.

Authors:  G P Murphy; J F Gaeta; J Pickren; Z Wajsman
Journal:  Cancer       Date:  1980-04-15       Impact factor: 6.860

4.  Accuracy of basic cancer patient data: results from an extensive recoding survey.

Authors:  L Polissar; P Feigl; W W Lane; G Glaefke; S Dahlberg
Journal:  J Natl Cancer Inst       Date:  1984-05       Impact factor: 13.506

5.  Race, socioeconomic status, and other prognostic factors for survival from prostate cancer.

Authors:  H H Dayal; L Polissar; S Dahlberg
Journal:  J Natl Cancer Inst       Date:  1985-05       Impact factor: 13.506

6.  Black versus white racial differences in clinical stage at diagnosis and treatment of prostatic cancer in Connecticut.

Authors:  A P Polednak; J T Flannery
Journal:  Cancer       Date:  1992-10-15       Impact factor: 6.860

7.  Racial and socioeconomic factors in cancer survival. A comparison of Veterans Administration results with selected studies.

Authors:  W F Page; A J Kuntz
Journal:  Cancer       Date:  1980-03-01       Impact factor: 6.860

8.  Prostate cancer: the stage disadvantage in the black male.

Authors:  P V Targonski; P Guinan; C W Phillips
Journal:  J Natl Med Assoc       Date:  1991-12       Impact factor: 1.798

9.  Reliability of basic cancer patient data.

Authors:  P Feigl; L Polissar; W W Lane; V Guinee
Journal:  Stat Med       Date:  1982 Jul-Sep       Impact factor: 2.373

10.  Rural-urban differences in stage at diagnosis. Possible relationship to cancer screening.

Authors:  J M Liff; W H Chow; R S Greenberg
Journal:  Cancer       Date:  1991-03-01       Impact factor: 6.860

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  6 in total

1.  Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports.

Authors:  Wen-Wai Yim; Sharon W Kwan; Guy Johnson; Meliha Yetisgen
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Cancer registries in epidemiologic research.

Authors:  H H Storm
Journal:  Cancer Causes Control       Date:  1996-05       Impact factor: 2.506

3.  Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage.

Authors:  Selen Bozkurt; Christopher J Magnani; Martin G Seneviratne; James D Brooks; Tina Hernandez-Boussard
Journal:  Front Digit Health       Date:  2022-06-02

4.  Collection of cancer stage data by classifying free-text medical reports.

Authors:  Iain A McCowan; Darren C Moore; Anthony N Nguyen; Rayleen V Bowman; Belinda E Clarke; Edwina E Duhig; Mary-Jane Fry
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

5.  Evaluation of a Web-Based App Demonstrating an Exclusionary Algorithmic Approach to TNM Cancer Staging.

Authors:  Matthew Kim
Journal:  JMIR Cancer       Date:  2015-04-02

6.  Automated Extraction and Classification of Cancer Stage Mentions fromUnstructured Text Fields in a Central Cancer Registry.

Authors:  Abdulrahman K AAlAbdulsalam; Jennifer H Garvin; Andrew Redd; Marjorie E Carter; Carol Sweeny; Stephane M Meystre
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2018-05-18
  6 in total

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