Evidence map›Paper›PMID 34092957›Full record

ArticleJournal of maxillofacial and oral surgery2021

Is Tele-Dentistry an Effective Approach for Patient Follow-up in Maxillofacial Surgery.

Damla Torul, Kadircan Kahveci, Cigdem Kahveci

Abstract read
In one paragraph

Article in Journal of maxillofacial and oral surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Impact of the COVID-19 Pandemic on Dentistry and Dental Education: A Narrative Review.International journal of environmental research and public health · 2022
    Review
  10. 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

3 authors.

Damla TorulDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ordu University, 52200 Ordu, Turkey.ORCID 0000-0003-2323-606X
Kadircan KahveciDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ordu University, 52200 Ordu, Turkey.
Cigdem KahveciDepartment of Prosthodontics, Ordu University, 52200 Ordu, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the feasibility and diagnostic accuracy of the tele-dentistry for the follow-up of different diagnostic groups of Turkish patients in maxillofacial surgery. MATERIALS AND

methodsIn this study, follow-up patients were allocated to four groups as dental implant, minor surgical procedure, infection-medication-related osteonecrosis of the jaws (MRONJ) and temporomandibular joint disorder (TMD). In all groups, remote examination via video call and subsequently face-to-face clinic examination were performed. The quality and accuracy of the video call were scored by the same investigator. Also, patient satisfaction regarding the video call was evaluated with a questionnaire.

resultsTwenty-one patients (12 females, 9 males) between 18 and 71 years (38.90 ± 17.88) participated in the study. A strong preference of 71% and 95% toward video call by patients was seen in the questionnaires performed after video call and face-to-face examination, respectively. Regarding the rating of the clinician, no significant differences were found between groups in terms of the quality and accuracy of video call (

conclusionRemote follow up of diagnostic groups which can benefit from tele-dentistry pose a promising remedy that is reliable as in-person visits and also can reduce the clinical visits in routine clinical practice.

Indexed as

Oral surgerySmartphoneVideo call

Identifiers

PMID34092957
PMCPMC8166361

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.