Evidence map›Paper›PMID 37560082›Full record

ArticleAddiction & health2023

Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment.

Yogesh Kumar Jain, Pankaj Bhardwaj, Nitin Kumar Joshi, Manoj Kumar Gupta, Akhil Dhanesh Goel, Prem Prakash Sharma

Abstract read
In one paragraph

Article in Addiction & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Tobacco Control Scale (TCS) for Tobacco Control Policy Analysis of India.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
  4. Article
  5. Article
  6. Article
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

6 authors.

Yogesh Kumar JainPhD Scholar, Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-1385-4692
Pankaj BhardwajDepartment of Community Medicine and Family Medicine, School of Public Health, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0001-9960-3060
Nitin Kumar JoshiSchool of Public Health, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-5106-0455
Manoj Kumar GuptaDepartment of Community Medicine and Family Medicine, School of Public Health, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-5367-5795
Akhil Dhanesh GoelDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-6156-7903
Prem Prakash SharmaDepartment of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Jodhpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the staggering number of tobacco users in India, it is important to determine the exact mortality and morbidity rates due to tobacco use. This study aimed to estimate deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) attributable to cigarettes, bidis, and smokeless tobacco (SLT) in India. Methods: Data pooling and meta-analysis were done using case-control studies available on the three types of tobacco products. Health burden was estimated by applying the population attributable fraction (PAF) value to the total disease burden. Findings: A total of 33 studies were included. PAF was calculated for oral and lung cancer as well as ischemic heart disease (IHD) due to cigarettes, oral and lung cancer, IHD, and chronic obstructive pulmonary disease due to bidi, and oral and stomach cancer and IHD due to SLT. Cigarettes resulted in 8.4 million DALYs, 8.26 million YLLs, and 341 deaths; bidis led to 11.7 million DALYs, 10.7 million YLLs, and 478 thousand deaths, and SLTs accounted for 4.38 million DALYs, 4.3 million YLLs, and 171 thousand deaths annually. Conclusion: Evidence of measurable health burden and methodology for calculation for individual states was provided in the study. The generated evidence could be utilized for policy recommendations and revision of the existing taxation norms.

Indexed as

Disability-adjusted life yearsLung diseasesMorbidityMouth neoplasmsPolicyTobacco

Identifiers

PMID37560082
PMCPMC10408737

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Registered trials

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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.