Evidence map›Paper›PMID 41556399›Full record

ArticleActa odontologica Scandinavica2026

The effect of age on third molar extraction difficulty: a retrospective cross-sectional cohort study.

Abiel Noro, Johanna Snäll, Irja Ventä

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Abiel NoroDepartment of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, Helsinki, Finland. abiel.noro@helsinki.fi.ORCID 0000-0001-7723-9122
Johanna SnällDepartment of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Oral and Maxillofacial Diseases, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-8514-5764
Irja VentäDepartment of Oral and Maxillofacial Diseases, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2753-8444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to clarify whether third molar extraction becomes more difficult as the patient ages. Previous research results on the topic are contradictory. MATERIALS AND

methodsAll 12,649 third molar extractions in Helsinki's primary care during 2016 were retrieved from electronic records using treatment codes. The primary outcome was extraction difficulty, classified as simple (forceps) or surgical (raising a flap). The secondary outcome was an extraction labelled as demanding. Predictor variables were age, sex, and the jaw (maxilla/mandible). Statistical analyses included χ2 test and binomial logistic regression.

resultsMean age of the patients was 32.2 years (range 12-97 years). Simple extractions in the maxilla (P < 0.001) and all surgical extractions (P < 0.001) were more likely to be demanding at a higher age. In the mandible, simple extractions were easier at a higher age (odds ratio [OR] 0.971; 95% confidence interval [CI] 0.964; 0.978). Surgical extraction was 1.4 times (95% CI 1.145; 1.766) more likely to be demanding in men and twice (95% CI 1.143; 3.462) as demanding in the mandible.

conclusionsSurgical and maxillary simple extractions were more difficult at a higher age. Surprisingly, in the mandible, simple extractions were easier at a higher age.

Indexed as

Molar, ThirdTooth ExtractionAdolescentAdultAgedAged, 80 and overAge FactorsChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID41556399
PMCPMC12831175

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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.