Literature DB >> 31319976

Misclassification of the actual causes of death and its impact on analysis: A case study in non-small cell lung cancer.

Kay See Tan1.   

Abstract

OBJECTIVES: Cumulative incidence of lung cancer deaths (LC-CID) is an important metric to understand cancer prognosis and to determine treatment options. However, credible estimates of LC-CID rely on accurate cause-of-death coding in death certificates. Results from lung cancer screening trials estimated 15% under-reporting and 1% over-reporting of lung cancer deaths due to misclassification. This study investigated the impact of cause-of-death misclassification on the estimation of LC-CID.
MATERIALS AND METHODS: Patients with stage I/II non-small cell lung cancer (NSCLC) from the Surveillance, Epidemiology, and End Results registry were included. LC-CID was estimated using the competing-risk approach in two ways: (1) reporting observed estimates that ignore potential cause-of-death misclassification and (2) correcting for plausible misclassification rates reported in the literature (15% under-reporting and 1% over-reporting). Bias was quantified as the difference between observed and corrected 10-year LC-CIDs: positive values indicated that observed LC-CID overestimated true LC-CID, whereas negative values indicated the opposite.
RESULTS: Among 66,179 patients, the impact of over-reporting on 10-year LC-CID was negligible across all age groups. In contrast, under-reporting resulted in substantial underestimation of 10-year LC-CID. The biases increased as age increased due to higher LC-CIDs: 10-year LC-CIDs among stage I patients 18-44, 45-59, 60-74 and ≥75 years were 25%, 32%, 41%, and 50%, respectively, and the corresponding biases given the plausible misclassification rates were -4.4%, -5.6%, -7.1%, and -8.6%. Because the observed LC-CIDs among patients with stage II disease were higher than those with stage I disease, the biases were greater among stage II patients, up to -12.5% in the oldest age group.
CONCLUSIONS: In lung cancer, LC-CID may be severely underestimated due to under-reporting of lung cancer deaths, particularly among older patients or those with late-stage disease. Future studies that involve such subpopulations should present the corrected LC-CIDs based on plausible misclassification rates alongside the observed LC-CIDs.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Competing risk events; cause of failure; cause-specific survival; cumulative incidence; death certificate

Mesh:

Year:  2019        PMID: 31319976      PMCID: PMC6650158          DOI: 10.1016/j.lungcan.2019.05.016

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  33 in total

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4.  Inaccuracies of death certificate information.

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5.  Measuring cancer survival in populations: relative survival vs cancer-specific survival.

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6.  Death certificates provide an adequate source of cause of death information when evaluating lung cancer mortality: an example from the Mayo Lung Project.

Authors:  V Paul Doria-Rose; Pamela M Marcus
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Review 9.  Screening for lung cancer. A critique of the Mayo Lung Project.

Authors:  R S Fontana; D R Sanderson; L B Woolner; W F Taylor; W E Miller; J R Muhm; P E Bernatz; W S Payne; P C Pairolero; E J Bergstralh
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Review 10.  A note on competing risks in survival data analysis.

Authors:  J M Satagopan; L Ben-Porat; M Berwick; M Robson; D Kutler; A D Auerbach
Journal:  Br J Cancer       Date:  2004-10-04       Impact factor: 7.640

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