Evidence map›Paper›PMID 42605951›Full record

ArticleActa odontologica Scandinavica2026

Orthodontic emergencies in a postgraduate clinic: a retrospective analysis.

Vegard B Vårum, Vaska Vandevska-Radunovic, Helen Pullisaar

Abstract read
In one paragraph

Article in Acta odontologica Scandinavica, 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
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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

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

3 authors.

Vegard B VårumTrøndelag County Authority, Steinkjer, Norway. vegva@trondelagfylke.no.
Vaska Vandevska-RadunovicDepartment of Orthodontics, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway.
Helen PullisaarDepartment of Orthodontics, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis retrospective study aimed to investigate the frequency, causes, and temporal distribution of orthodontic emergencies at the Department of Orthodontics, University of Oslo.

methodsAll appointments coded as emergencies from 2015 to 2022 were reviewed and manually screened. Emergencies were classified into three categories: (1) during active treatment, (2) during retention, and (3) miscellaneous. A negative binomial generalized linear regression model was used to assess annual and monthly variations. Chi-square tests for independence were applied to analyze relationships between age group and year, gender and year, and reason for emergency. The significance level was set at p < 0.05.

resultsOut of 7206 records screened, 3592 met the inclusion criteria, involving 1657 patients - 685 males (41.3%) and 972 females (58.7%). The mean number of emergencies per patient was 2.2, with no significant year-to-year variation in gender distribution. The most common age groups were 10-14 years and over 20 years. Annual emergency numbers ranged from 313 in 2015 to 638 in 2022, with statistically significant variation. Monthly variation was also significant, with July consistently having the fewest emergencies (p < 0.001). Most emergencies occurred during active treatment (n = 2021), followed by the retention phase (n = 1353), and miscellaneous reasons (n = 218). The most frequent causes were issues related to full fixed appliances and fixed retainers.

conclusionsNo consistent pattern of orthodontic emergencies was observed, indicating that operator experience, the stage of postgraduate training, and seasonal fluctuations are likely the key influencing factors.

Indexed as

EmergenciesOrthodonticsAdolescentAdultChildFemaleHumansMaleNorwayRetrospective StudiesYoung Adult

Identifiers

PMID42605951
PMCPMC13492297

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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.