Evidence map›Paper›PMID 33623217›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial.

Avinash Jnaneswar, Kunal Jha, Diplina Barman, Arpita Singh, Mona Pathak, Gunjan Kumar

Erratum issuedAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Erratum: Software Intervention in Smoking Cessation among Engineering Students in Bhubaneswar City: A Randomized Controlled Trial.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Avinash JnaneswarDepartment of Public Health Dentistry, Kalinga Institute of Dental Sciences, KIIT University, BBSR, Odisha, India.
Kunal JhaDepartment of Public Health Dentistry, Kalinga Institute of Dental Sciences, KIIT University, BBSR, Odisha, India.
Diplina BarmanDepartment of Public Health Dentistry, Kalinga Institute of Dental Sciences, KIIT University, BBSR, Odisha, India.
Arpita SinghDepartment of Public Health Dentistry, Kalinga Institute of Dental Sciences, KIIT University, BBSR, Odisha, India.
Mona PathakDepartment of Biostatistics, Kalinga Institute of Medical Sciences, KIIT University, BBSR, Odisha, India.
Gunjan KumarDepartment of Public Health Dentistry, Kalinga Institute of Dental Sciences, KIIT University, BBSR, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study objective was to test the effectiveness of a photoaging software (APRILAGE MATERIALS AND

methodsA total of 204 engineering college students were randomized into two groups: intervention and control. A self-structured questionnaire in the form of Google Form was distributed among the participants. The study group participants were photographed using Aprilage

resultsSignificant reduction in nicotine dependency, was seen in 64.36% of the study population (

conclusionAging software intervention is contemporary, congenial, and admissible and can be espoused to educate youngsters along with the conventional motivational methods. This method successfully delivers smoking cessation advice to young adults. This novel approach can be implemented in motivating young smokers to quit smoking.

Indexed as

Cessationinterventiontobacco

Identifiers

PMID33623217
PMCPMC7877435

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.