Evidence map›Paper›PMID 39056997›Full record

ArticleDentistry journal2024

Demographic and Radiographic Characteristics Associated with the Occurrence of Impacted Third Molars in Indonesian Patients: A Retrospective Study.

Indra Hadikrishna, Melita Sylvyana, Madhuri Pattamatta, Folli Mulyawati, Tantry Maulina

Abstract read
In one paragraph

Article in Dentistry journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Indra HadikrishnaOral and Maxillofacial Surgery Department, Faculty of Dentistry, Universitas Padjadjaran, Bandung 40132, Indonesia.ORCID 0000-0001-8776-1467
Melita SylvyanaOral and Maxillofacial Surgery Department, Hasan Sadikin Hospital, Bandung 40161, Indonesia.ORCID 0000-0003-4312-6028
Madhuri PattamattaDentistry Department, Faculty of Medical Sciences, Radboud University Medical Center, 6525 EX Nijmegen, The Netherlands.
Folli MulyawatiDental Department, Kota Serang Regional Public Hospital, Serang 42124, Indonesia.
Tantry MaulinaOral and Maxillofacial Surgery Department, Faculty of Dentistry, Universitas Padjadjaran, Bandung 40132, Indonesia.ORCID 0000-0002-6975-990X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An impacted third molar is one of the most common abnormalities of the tooth position, impacting patients and their quality of life. Based on the impact and the invasive removal procedure, this study aimed to evaluate the characteristics of impacted third molars based on their radiographic features as well as their association with demographic characteristics. Outpatient dental records of the oral and maxillofacial surgery department of Hasan Sadikin Hospital, Bandung, Indonesia, from 1 January 2018 to 31 December 2019, were sorted, and relevant clinical and demographic data and panoramic radiographic examination results were extracted from these records. All data were then tabulated and analyzed by using SPSS version 29. As many as 3019 impacted third molars were identified. Our findings suggested the association between age to the occurrence of impacted third molars where patients aged between 17 and 29 years old showed high occurrences of impacted third molars. Male patients with impacted third molars are more likely to have multiple impacted third molars, while this risk decreases in females. Radiographic examination showed that the mesioangular position is the most common position for mandibular third molars. The variation in high occurrences of the impacted third molar is associated with several demographic factors.

Indexed as

demographic factorsimpacted toothradiographicthird molarthird molar impaction

Identifiers

PMID39056997
PMCPMC11276140

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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.