Evidence map›Paper›PMID 37711257›Full record

ArticleAging medicine (Milton (N.S.W))2023

Changing patterns of cancer burden among elderly across Indian states: Evidence from the global burden of disease study 1990-2019.

Chandan Kumar Swain, Sourav Padhee, Umakanta Sahoo, Himanshu Sekhar Rout, Prafulla Kumar Swain

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

5 citing papers in PubMed.

  1. Phosphate level changes in oral cancer patients - recognizing the risk for refeeding syndrome.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chandan Kumar SwainDepartment of Analytical & Applied Economics Utkal University Bhubaneswar Odisha India.ORCID https://orcid.org/0000-0002-1360-0043
Sourav PadheeDepartment of Statistics Utkal University Bhubaneswar Odisha India.ORCID https://orcid.org/0009-0003-9683-7808
Umakanta SahooDepartment of Statistics Sambalpur University Sambalpur Odisha India.ORCID https://orcid.org/0000-0002-7988-4587
Himanshu Sekhar RoutDepartment of Analytical & Applied Economics Utkal University Bhubaneswar Odisha India.ORCID https://orcid.org/0000-0001-8445-340X
Prafulla Kumar SwainDepartment of Statistics Utkal University Bhubaneswar Odisha India.ORCID https://orcid.org/0000-0002-1357-501X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the trends and patterns of the cancer burden among the elderly in different regions of India at a subnational level. Methods: Data were extracted from the Global Burden of Disease (GBD) Studies India Compare 2019. Prevalence rate, disability-adjusted life years (DALY), and annual percentage change techniques were used to analyze data. Results: The three age groups with the highest prevalence of cancer were those aged 60-64 years, 65-69 years, and 70-74 years. In 2019, The prevalence of cancer among the elderly ranged from 7048.815 in Karnataka to 5743.040 in Jharkhand. Kerala has the most significant annual percentage change in the cancer prevalence rate of 0.291 between 1990 and 2019. The highest DALY rate was observed among individuals aged 80-84 years in 2019. That year, the DALY rate among the elderly was 8112.283 in India. The top five cancers with higher DALY rates among the elderly in India in 2019 were tracheal, bronchus, and lung cancer (908.473), colon and rectum cancer (752.961), stomach cancer (707.464), breast cancer (597.881), and lip and oral cavity cancer (557.637). Conclusion: Elderly individuals demonstrated a higher vulnerable to cancer compared to other age groups. There is a need for state-specific government intervention to minimize the risk of cancer among the elderly due to the heterogeneity in the burden of cancer across Indian states.

Indexed as

burden of cancerDALYeldersIndian statesprevalence rate

Identifiers

PMID37711257
PMCPMC10498831

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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.