Evidence map›Paper›PMID 41202037›Full record

ArticlePloS one2025

Development and Validation of a Tobacco Testing Laboratories Assessment Tool.

Sonu Goel, Chirag Goel, Diksha Walia, Avinash Sunthlia, Leimapokpam Swasticharan, Rajendra P Joshi, Atul Goel

Abstract readValidation Study
In one paragraph

Article in PloS one, 2025. 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

7 authors.

Sonu GoelPublic Health Master's Program, School of Medicine, University of Limerick, Limerick, Ireland.ORCID https://orcid.org/0000-0001-5231-7083
Chirag GoelDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Diksha WaliaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Avinash SunthliaDeputy Additional Director General- NTCP, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Leimapokpam SwasticharanAdditional Deputy Director General of Health Services, Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Rajendra P JoshiAdditional Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Atul GoelDGHS, Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective regulation and control of tobacco products require robust laboratory testing capabilities to ensure quality, safety and compliance with relevant standards. Currently, no standardized assessment tool exists globally to evaluate the tobacco testing laboratories. This study aims to address this gap by developing the Tobacco Testing Laboratory Assessment Tool (TTLAT). This tool aligns with the WHO-FCTC on Tobacco Control's Article 9, which calls for the adoption and implementation of effective testing, measuring, and regulation measures. METHODOLOGY: The TTLAT was developed through a systematic literature review and a two-round Delphi technique involving 24 experts. The tool was then validated in four National Tobacco Testing Laboratories in India. Content validity was assessed using the Item-Content Validity Index (I-CVI) and Scale-Content Validity Index (S-CVI). Construct validity was evaluated through exploratory and confirmatory factor analyses. Internal consistency reliability was measured using Cronbach's alpha.

resultsThe final TTLAT comprises 213 items across 11 critical domains including General Information (17), Documents (37), Organization and Management (10), Human Resources (28), Infrastructure (7), Equipment (23), Consumables and Reagents (10), Sample Handling (17), Tobacco Product Analytes (8), Data Management (36), and Biosafety and Biosecurity (20). Content validity analysis showed excellent results. Exploratory factor analysis identified six factors accounting for 52.5% of the total variance. Confirmatory factor analysis demonstrated good model fit (CFI = 0.91; TLI = 0.90; RMSEA = 0.05; SRMR = 0.06). The tool showed high internal consistency reliability across factors (Cronbach's alpha 0.72-0.92).

conclusionThe TTLAT demonstrates strong psychometric properties and provides a comprehensive, standardised approach for assessing tobacco testing laboratory capacity.

Indexed as

LaboratoriesTobacco ProductsDelphi TechniqueHumansIndiaReproducibility of Results

Identifiers

PMID41202037
PMCPMC12594407

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.