Evidence map›Paper›PMID 40547733›Full record

ReviewJournal of family medicine and primary care2025

Approaches for cessation and elimination of tobacco to atttain sustainable development goal.

Shyamala Ravikoti, Vikas Bhatia, Sekkulandai Kuppuswamy Mohanasundari

Abstract readReview
In one paragraph

Review in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Shyamala RavikotiDepartment of Microbiology, AIIMS Bibinagar, Hyderabad, Telangana, India.
Vikas BhatiaAIIMS Bibinagar, Hyderabad, Telangana, India.
Sekkulandai Kuppuswamy MohanasundariCollege of Nursing, AIIMS Bibinagar, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tobacco use remains a pervasive global health challenge, particularly affecting low- and middle-income countries (LMICs) like India, where it contributes significantly to preventable deaths and economic burdens. This comprehensive review synthesizes current literature from 2010 to 2024 using prominent databases such as PubMed, ScienceDirect, UpToDate, and Embase and extracted 49 full text article focused on tobacco prevalence, health impacts, and control measures in India, emphasizing the urgency of tobacco elimination to achieve sustainable development goals (SDGs). The review includes data from the Global Adult Tobacco Survey (GATS 2), highlighting that 28.6% of Indian adults use tobacco, with variations by gender, urban-rural divide, and product preference. Tobacco use exacerbates health disparities, leading to chronic diseases such as cancer, respiratory conditions, and cardiovascular disorders. Moreover, tobacco compromises immune function, increasing susceptibility to infections like tuberculosis and COVID-19. Effective tobacco control strategies outlined include policy interventions, cessation programs integrating counseling and medication, international collaborations under the WHO Framework Convention on Tobacco Control (FCTC), and leveraging technological advancements like mobile apps and virtual reality for cessation support. This review highlights the importance of coordinated efforts to create a tobacco-free future in India and globally.

Indexed as

Chronic diseaseseconomic burdenhealthcare integration and community engagementpoliciesprevalence of tobaccosustainable development goaltechnological advancementstobacco cessation

Identifiers

PMID40547733
PMCPMC12178532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.