Evidence map›Paper›PMID 41120158›Full record

ArticleBMJ open2025

Projection of age-standardised mortality rates for 23 cancer types in India: a nationwide projection until 2030 using autoregressive integrated moving average (ARIMA) models.

Ajil Shaji, M S Narassima, Keechilat Pavithran, Dehannathparambil Kottarathil Vijaykumar, Vivek Verma, Denny John

Abstract read
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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ajil ShajiAmrita Institute of Medical Sciences and Research Centre, Kochi, Kerala, India.ORCID http://orcid.org/0000-0002-1078-9792
M S NarassimaGreat Lakes Institute of Management, Manamai Village, India.ORCID http://orcid.org/0000-0002-4113-430X
Keechilat PavithranAmrita Institute of Medical Sciences and Research Centre, Kochi, Kerala, India pavithrank@aims.amrita.edu djohn1976@gmail.com.ORCID http://orcid.org/0000-0002-6129-5709
Dehannathparambil Kottarathil VijaykumarAmrita Institute of Medical Sciences and Research Centre, Kochi, Kerala, India.ORCID http://orcid.org/0000-0002-3684-8834
Vivek VermaDepartment of Statistics, Assam University, Silchar, Assam, India.ORCID http://orcid.org/0000-0003-2537-4431
Denny JohnMS Ramaiah University of Applied Sciences, Bangalore, India pavithrank@aims.amrita.edu djohn1976@gmail.com.ORCID http://orcid.org/0000-0002-4486-632X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence for long-term health planning and resource allocation.

designA retrospective analysis and time-series forecasting study. Participants Aggregated, national-level cancer mortality data for the population of India from 2000 to 2019 were used.

participantsAggregated, national-level cancer mortality data for the population of India from 2000 to 2019 were used.

methodsAnnual ASMR data for 23 cancer types were obtained from the Global Cancer Observatory. Autoregressive Integrated Moving Average was employed to forecast ASMR until 2030. For each cancer site, the model with the minimum Bayesian Information Criterion was chosen for males, females and both sexes combined.

resultsThe projections reveal diverging mortality patterns across different cancer types. For both genders, the ASMR for mouth oropharynx had the highest estimation of 13.75 (95% CI: 12.69 to 14.81) per 100000 population by 2030 from a baseline of 10.21 in 2000. Breast and cervical cancer showed estimations of 6.62 and 6.03 in 2030, respectively. Conversely, mortality rate projections for several cancers declined, most notably cervical cancer and stomach cancer

conclusionsOur projections indicate a rise linked lifestyle and metabolic factors and a decline in infection-related and tobacco-related cancers. These underscore the need for strengthening preventive and screening programmes for the former, while continuing to invest in successful interventions for the latter.

Indexed as

NeoplasmsAdultAgedBayes TheoremFemaleForecastingHumansIndiaMaleMiddle AgedMortalityRetrospective StudiesEPIDEMIOLOGYMortalityONCOLOGY

Identifiers

PMID41120158
PMCPMC12551512

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.