Evidence map›Paper›PMID 29655410›Full record

ReviewThe Kaohsiung journal of medical sciences2018

Non-orthodontic intervention and non-nutritive sucking behaviours: A literature review.

Liyana Tanny, Boyen Huang, Noel Ye Naung, Geoffrey Currie

Abstract readReview
In one paragraph

Review in The Kaohsiung journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Tongue Retraining Appliance: Clear Tongue Crib and Clear Tongue Cage Appliance.International journal of clinical pediatric dentistry · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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.

Liyana TannySchool of Dentistry and Health Sciences, Charles Sturt University, Australia.
Boyen HuangSchool of Dentistry and Health Sciences, Charles Sturt University, Australia. Electronic address: bhuang@csu.edu.au.
Noel Ye NaungSchool of Dentistry and Health Sciences, Charles Sturt University, Australia.
Geoffrey CurrieSchool of Dentistry and Health Sciences, Charles Sturt University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior open bite (AOB) is one of the most complex malocclusions to manage. AOB is caused by either by skeletal, genetic or environmental factors. Numerous treatment options are currently utilised to manage AOB. These vary from non-invasive behavioural shaping to orthodontic and surgical interventions. This paper reviews the available orthodontic and non-orthodontic interventions used in the management of AOB. The literature review was carried out using the PubMed search engine from the first of January 2000 to the first of June 2017. Two major keywords (open bite and anterior open bite) were used in addition to 23 minor keywords in the review. AOB is one of the most complex malocclusions to treat with high relapse rates. Long term outcome in treatments of patients with AOB was substantially low. Relapse rates were not taken into consideration for some of the literature reviewed. Despite limitations of the literature, it is recommended that orofacial myofunctional therapy (OMT) and non-orthodontic intervention (NOI) be used in conjunction as an effective treatment option for Anterior Open Bite.

Indexed as

MagnetsChildChild, PreschoolFemaleFingersuckingHumansMaleMyofunctional TherapyOpen BiteRecurrenceTreatment OutcomeAnterior open biteChildrenMalocclusionNon-orthodontic intervention

Identifiers

PMID29655410
PMCPMC11915694

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.