Evidence map›Paper›PMID 42746046›Full record

ArticleAddiction & health2026

Comparative Evaluation of the Effect of Pharmacotherapy, Low-Level Laser Therapy, and Behavioral Counseling on Tobacco Cessation: A Parallel Randomized Clinical Trial.

Neha Shukla, Zainab Akram, Mahesh Ravindra Khairnar, Naveen Kumar Pg, Jadhav Sachin Kumar, Savitha Priyadarsini Santhanam

Abstract read
In one paragraph

Article in Addiction & health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neha ShuklaUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.ORCID https://orcid.org/0000-0002-2462-6230
Zainab AkramUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Mahesh Ravindra KhairnarUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.ORCID https://orcid.org/0000-0003-4274-9565
Naveen Kumar PgUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Jadhav Sachin KumarUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Savitha Priyadarsini SanthanamUnit of Public Health Dentistry, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nicotine lozenges help reduce nicotine gradually. They are a discreet NRT alternative. This study compared nicotine dependence, cotinine levels, quit rates, and physical effects before and after one month of NRT lozenges, laser therapy, and counselling. Methods: This randomised controlled trial tested nicotine lozenges, laser therapy, and counselling. This trial included 75 participants (25 per group) over one month. Seventy-five participants were divided into three groups of 25. The "Jus-Check Findings: The results showed a significant decrease in nicotine dependence and cotinine ( Conclusion: Nicotine lozenges are as effective as laser therapy and counselling for quitting smokeless tobacco. This approach reduces dependence, lowers cotinine, increases quit rates, and improves physical effects.

Indexed as

CotinineCounsellingNicotineSmokelessTobacco use cessation

Identifiers

PMID42746046
PMCPMC13575661

What OpenQuestion holds

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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.