Literature DB >> 7867141

Cancer deaths in India: is the model-based approach valid?

P C Gupta1, R Sankaranarayanan, J Ferlay.   

Abstract

The model-based cancer mortality estimates for India (775,800) are nearly double the data-based estimates (433,000), and are higher than even the incidence estimates (612,300). The model-based approach is therefore, at least in the case of India, incorrect. Established practice is to use real data to validate theoretical models, not to reject the data if apparently the model does not fit.

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Year:  1994        PMID： 7867141      PMCID： PMC2486736     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN： 0042-9686            Impact factor:   9.408


  5 in total

1.  An assessment of reliability and completeness of Bombay Cancer Registry data (1963 - 1985).

Authors:  B B Yeole; D J Jussawalla
Journal:  Indian J Cancer       Date:  1988-09       Impact factor: 1.224

2.  Global and regional cause-of-death patterns in 1990.

Authors:  C J Murray; A D Lopez
Journal:  Bull World Health Organ       Date:  1994       Impact factor: 9.408

3.  Estimates of the worldwide mortality from eighteen major cancers in 1985. Implications for prevention and projections of future burden.

Authors:  P Pisani; D M Parkin; J Ferlay
Journal:  Int J Cancer       Date:  1993-12-02       Impact factor: 7.396

4.  Cancer registration in Madras Metropolitan Tumour Registry, India.

Authors:  V Shanta; C K Gajalakshmi; R Swaminathan; K Ravichandran; L Vasanthi
Journal:  Eur J Cancer       Date:  1994       Impact factor: 9.162

5.  Estimates of the worldwide incidence of eighteen major cancers in 1985.

Authors:  D M Parkin; P Pisani; J Ferlay
Journal:  Int J Cancer       Date:  1993-06-19       Impact factor: 7.396
  5 in total
  7 in total

1.  DALYs: the age-weights on balance.

Authors:  J J Barendregt; L Bonneux; P J Van der Maas
Journal:  Bull World Health Organ       Date:  1996       Impact factor: 9.408

Review 2.  Estimating deaths from cardiovascular disease: a review of global methodologies of mortality measurement.

Authors:  Neha Jadeja Pagidipati; Thomas A Gaziano
Journal:  Circulation       Date:  2013-02-12       Impact factor: 29.690

3.  Care of Terminally Ill Cancer Patients: An Intensivist's Dilemma.

Authors:  Sukhminder Jit Singh Bajwa; Sukhwinder Kaur Bajwa; Jasbir Kaur
Journal:  Indian J Palliat Care       Date:  2010-05

4.  Prospective study of one million deaths in India: rationale, design, and validation results.

Authors:  Prabhat Jha; Vendhan Gajalakshmi; Prakash C Gupta; Rajesh Kumar; Prem Mony; Neeraj Dhingra; Richard Peto
Journal:  PLoS Med       Date:  2005-12-20       Impact factor: 11.069

5.  Global and regional estimates of cancer mortality and incidence by site: I. Application of regional cancer survival model to estimate cancer mortality distribution by site.

Authors:  Colin D Mathers; Kenji Shibuya; Cynthia Boschi-Pinto; Alan D Lopez; Christopher J L Murray
Journal:  BMC Cancer       Date:  2002-12-26       Impact factor: 4.430

6.  Global and regional estimates of cancer mortality and incidence by site: II. Results for the global burden of disease 2000.

Authors:  Kenji Shibuya; Colin D Mathers; Cynthia Boschi-Pinto; Alan D Lopez; Christopher J L Murray
Journal:  BMC Cancer       Date:  2002-12-26       Impact factor: 4.430

Review 7.  Reliable direct measurement of causes of death in low- and middle-income countries.

Authors:  Prabhat Jha
Journal:  BMC Med       Date:  2014-02-04       Impact factor: 8.775
  7 in total

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