Evidence map›Paper›PMID 40008254›Full record

ReviewFrontiers in dental medicine2025

Radiographic localization of supernumerary teeth: a narrative review.

Sreekanth Kumar Mallineni, Robert Prashanth Anthonappa, Jayakumar Jayaraman, Nigel Martyn King

Abstract readReview
In one paragraph

Review in Frontiers in dental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Sreekanth Kumar MallineniPediatric Dentistry, Dr. Sulaiman Al Habib Medical Group, Ar Rayyan, Riyadh, Makkah Province, Saudi Arabia.
Robert Prashanth AnthonappaSchool of Dentistry, The University of Western Australia, Nedlands, WA, Australia.
Jayakumar JayaramanDepartment of Pediatric Dentistry, Virginia Commonwealth University School of Dentistry, Richmond, VA, United States.
Nigel Martyn KingSchool of Dentistry, The University of Western Australia, Nedlands, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To conduct a narrative review of the published literature on the localization techniques to identify the best technique for the localization of supernumerary teeth. Methods: An extensive search of literature published in English between January 1966 and May 2024 was conducted using the "Medline via PubMed" and "Cochrane database" databases. The keywords included in the search were "localization" "radiographs", and "impacted teeth", or "un-erupted teeth", or "supernumerary teeth" or "supernumerary tooth". The citation lists from the included articles were examined to identify additional reports and a hand search was also conducted. Kappa statistics were used for intra-examiner reliability. Results: The initial search yielded 4,864 citations, subsequently examined and supplemented by a hand search to find additional studies. Commonly used techniques for the localization of supernumerary teeth are the horizontal tube shift technique, vertical tube shift technique, vertex occlusal technique, and cone-beam computerized tomography. Conclusion: The most commonly used localization techniques for supernumerary teeth are horizontal tube shift, vertex occlusal, vertical tube shift, and cone-beam computerized tomography. Conventional radiographs only provide two-dimensional views of 3-dimensional structures. Three-dimensional imaging alone can provide accurate data on impacted supernumerary teeth but, the need for this film has to be justified because of the higher radiation exposure.

Indexed as

CBCTimpacted teethlocalizationradiographssupernumerary teeth

Identifiers

PMID40008254
PMCPMC11847821

What OpenQuestion holds

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Registered trials

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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.