Evidence map›Paper›PMID 39529924›Full record

ReviewCureus2024

Accuracy of 3D Virtual Surgical Planning Compared to the Traditional Two-Dimensional Method in Orthognathic Surgery: A Literature Review.

Mohammed Mahmoud Shalabi, Khaldoun M A Darwich, Mohammad N Kheshfeh, Mohammad Y Hajeer

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. 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.

Mohammed Mahmoud ShalabiDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Damascus, Damascus, SYR.
Khaldoun M A DarwichDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Damascus, Damascus, SYR.
Mohammad N KheshfehDepartment of Orthodontics, Faculty of Dentistry, University of Damascus, Damascus, SYR.
Mohammad Y HajeerDepartment of Orthodontics, Faculty of Dentistry, University of Damascus, Damascus, SYR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the innovation of three-dimensional imaging and printing techniques, computer-aided surgical planning, also known as virtual surgical planning (VSP), has revolutionized orthognathic surgery. Designing and manufacturing patient-specific surgical guides using three-dimensional printing techniques to improve surgical outcomes is now possible. This article presents an overview of VSP in orthognathic surgery and discusses the advantages and accuracy of this technique compared to traditional surgical planning (TSP). A PubMed and Google Scholar search was conducted to find relevant articles published over the past 10 years. The search revealed 2,581 articles, of which 36 full-text articles specifically addressed the topic of this study. The review concludes that VSP in orthognathic surgery provides optimal functional and aesthetic results, enhances patient satisfaction, ensures precise translation of the treatment plan, and facilitates intraoperative manipulation.

Indexed as

3d printing in orthognathic surgeryaccuracy of prediction for hard tissue changesaccuracy of prediction for soft tissue changesorthognathic surgerysurgical guidessurgical predictiontraditional surgical planningvirtual orthognathic patientvirtual surgical planning

Identifiers

PMID39529924
PMCPMC11554385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.