Evidence map›Paper›PMID 41607733›Full record

ReviewDental research journal2025

Revolutionizing dental restorations: Insights into computer-aided design/computer-aided manufacturing materials - A systematic review.

B K Ramnarayan, Suresh M Nagral, Pallavi Nanaiah, Krishnanand P Satelur, R Venkatasubramanian, J Avinash

Abstract readReview
In one paragraph

Review in Dental research journal, 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
  3. Article
  4. Article
  5. Review
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

6 authors.

B K RamnarayanDepartment of Oral Medicine and Radiology, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.
Suresh M NagralDepartment of Prosthodontics, Crown and Bridge, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.
Pallavi NanaiahDepartment of Periodontics, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.
Krishnanand P SatelurDepartment of Oral and Maxillofacial Pathology, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.
R VenkatasubramanianDepartment of Pedodontics, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.
J AvinashDepartment of Public Health Dentistry, Dayananda Sagar College of Dental Sciences, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of computer-aided design (CAD) and computer-aided manufacturing (CAM) technology has significantly transformed restorative dentistry. This review explores the game-changing influence of CAD/CAM systems in restorative dentistry, emphasizing the clinical performance, mechanical attributes, and esthetic potential of contemporary materials such as zirconia, lithium disilicate, polyetheretherketone, polymethylmethacrylate, and advanced resin composites.This systematic review, conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and structured using the PICO framework, comprehensively explored evidence on CAD/CAM dental materials. A thorough search of PubMed, Scopus, Cochrane Library, Web of Science, and Google Scholar (2015-2025) initially identified 1300 records. After rigorous screening and eligibility assessment, studies addressing clinical indications, mechanical performance, and material-specific outcomes of CAD/CAM restorations were included for qualitative synthesis. Lithium disilicate and zirconia emerged as frontrunners in fracture resistance, marginal adaptation, and long-term esthetics. Glass-ceramics and nanohybrid composites demonstrated high performance in posterior and veneer applications. Comparative trials favored CAD/CAM over conventional restorations in precision, fit, and durability. Risk-of-bias assessment indicated predominantly low bias across key domains, ensuring reliability of findings. CAD/CAM materials combine digital precision with clinical excellence, offering strong mechanical performance and refined esthetics for optimal functional outcomes. Clinical evidence highlights their accuracy, efficiency, and long-term success compared to traditional restorative techniques.

Indexed as

Computer-aided design/computer-aided manufacturinglithium disilicatepolyetheretherketonepolymethylmethacrylateresinzirconia

Identifiers

PMID41607733
PMCPMC12844550

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.