Evidence map›Paper›PMID 40417438›Full record

ArticleInternational journal of clinical pediatric dentistry2025

Association Between Nutritional Status and Tooth Count: A Clinical Study.

Saloni K Kanodia, Abhishek Khairwa, Astha Yadav, Adishree Mahanta

Abstract read
In one paragraph

Article in International journal of clinical pediatric dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Saloni K KanodiaDepartment of Pedodontics, Jaipur Dental College, Jaipur, Rajasthan, India.ORCID https://orcid.org/0000-0001-7567-2774
Abhishek KhairwaDepartment of Pedodontics, Jaipur Dental College, Jaipur, Rajasthan, India.
Astha YadavDepartment of Pediatrics and Preventive Dentistry, Jaipur Dental College, Maharaj Vinayak Global University, Jaipur, Rajasthan, India.ORCID https://orcid.org/0009-0004-4675-0242
Adishree MahantaDepartment of Pedodontics and Preventive Dentistry, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and background: This cross-sectional study investigates the correlation between nutritional status, as indicated by body mass index (BMI), and tooth count among schoolchildren aged 9-12 years. Materials and methods: A total of 400 students from government to private schools participated in the study, with anthropometric measurements and dental examinations conducted to assess BMI and tooth count, respectively. Results: The analysis reveals significant relationships between BMI and the number of primary and permanent teeth, with notable differences observed between boys and girls. Specifically, children with higher BMI tend to have fewer primary teeth but more permanent teeth, reflecting normal dental development and potentially indicating better nutritional status. Gender-specific correlation analyses further elucidate these relationships, highlighting variations in growth and development patterns. Conclusion: The findings underscore the importance of considering both nutritional status and dental health in pediatric health assessments and suggest that interventions aimed at improving children's nutrition could have beneficial effects on their oral health and vice versa. Clinical significance: Integrated strategies addressing both nutrition and oral health are crucial for promoting healthier growth and development in school-aged children. Further research, including longitudinal studies and investigations into specific nutrients' impact on dental health, is warranted to better understand the causal mechanisms underlying these correlations and inform targeted interventions. How to cite this article: Kanodia SK, Khairwa A, Yadav A,

Indexed as

Body mass indexCorrelation of dataNutritional status

Identifiers

PMID40417438
PMCPMC12099252

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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.