Literature DB >> 9578289

Registration of cancer mortality data in a developing area: Chennai (Madras, India) experience.

C K Gajalakshmi1, V Shanta, R Rama.   

Abstract

OBJECTIVES: This study was carried out to evolve a method to improve the registration of cancer mortality data in Chennai (Madras, India).
METHODS: Data on cancer deaths have been collected from the Vital Statistics Department (VSD) by a population-based cancer registry (PBCR) in Chennai only since 1982. The low mortality-to-incidence ratio during 1982-84 suggested under-registration of mortality data. Since 1985, the PBCR has taken special effort to ascertain the vital status of cancer cases by sending reply-paid postcards and/or making house visits. The data on all deaths occurring in Chennai, irrespective of stated cause of death in the death certificate, have been collected from the VSD since 1992.
RESULTS: Deaths that occurred in Chennai and obtained by sending reply-paid postcards and/or making house visits were registered in VSD as non-cancer causes of death; hence, these data were not collected from VSD. The sensitivity and positive predictive values of death certificates on cancer diagnosis based on 1992 and 1993 mortality data were 57 percent and 99.5 percent, respectively.
CONCLUSION: Since the accuracy of death certificate information on cancer diagnosis is relatively low in a developing country such as in India, collecting data on all deaths will improve the mortality data registration in PBCRs.

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Year:  1998        PMID: 9578289     DOI: 10.1023/a:1008822008788

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


  7 in total

1.  Cancer mortality-to-incidence ratios in Georgia: describing racial cancer disparities and potential geographic determinants.

Authors:  Sara E Wagner; Deborah M Hurley; James R Hébert; Chrissy McNamara; A Rana Bayakly; John E Vena
Journal:  Cancer       Date:  2012-01-31       Impact factor: 6.860

2.  Mapping cancer mortality-to-incidence ratios to illustrate racial and sex disparities in a high-risk population.

Authors:  James R Hébert; Virginie G Daguise; Deborah M Hurley; Rebecca C Wilkerson; Catishia M Mosley; Swann A Adams; Robin Puett; James B Burch; Susan E Steck; Susan W Bolick-Aldrich
Journal:  Cancer       Date:  2009-06-01       Impact factor: 6.860

3.  Lack of active follow-up of cancer patients in Chennai, India: implications for population-based survival estimates.

Authors:  Rajaraman Swaminathan; Ranganathan Rama; Viswanathan Shanta
Journal:  Bull World Health Organ       Date:  2008-07       Impact factor: 9.408

4.  Epidemiology, incidence and mortality of lung cancer and their relationship with the development index in the world.

Authors:  Hosein Rafiemanesh; Mojtaba Mehtarpour; Farah Khani; Sayed Mohammadali Hesami; Reza Shamlou; Farhad Towhidi; Hamid Salehiniya; Behnam Reza Makhsosi; Ali Moini
Journal:  J Thorac Dis       Date:  2016-06       Impact factor: 2.895

5.  Verbal autopsy of 48 000 adult deaths attributable to medical causes in Chennai (formerly Madras), India.

Authors:  Vendhan Gajalakshmi; Richard Peto; Santhanakrishnan Kanaka; Sivagurunathan Balasubramanian
Journal:  BMC Public Health       Date:  2002-05-16       Impact factor: 3.295

6.  Verbal autopsy of 80,000 adult deaths in Tamilnadu, South India.

Authors:  Vendhan Gajalakshmi; Richard Peto
Journal:  BMC Public Health       Date:  2004-10-15       Impact factor: 3.295

7.  Economic burden of cancer in India: Evidence from cross-sectional nationally representative household survey, 2014.

Authors:  Sunil Rajpal; Abhishek Kumar; William Joe
Journal:  PLoS One       Date:  2018-02-26       Impact factor: 3.240

  7 in total

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