Evidence map›Paper›PMID 37999014›Full record

ReviewDentistry journal2023

Digital Shade Matching in Dentistry: A Systematic Review.

Farah Rashid, Taseef Hasan Farook, James Dudley

Registry-linked trialAbstract readReview
In one paragraph

Review in Dentistry journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06884787 (Clinical and Subjective Evaluations of a Universal-Shade, Color Adjusting Resin Composite in Anterior Tooth Restorations), which is not on this 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.

NCT06884787 narecruitingnot on this mapstarted 2025, after this paper: background citation

Clinical and Subjective Evaluations of a Universal-Shade, Color Adjusting Resin Composite in Anterior Tooth Restorations: A Randomized Controlled Trial

TypeinterventionalSponsorKing Abdullah University HospitalRan2025 to 2026Enrolled120ConditionsComposite ResinsArmsConventional nanohybrid multishade composite, Single shade nanohybrid composite
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Objective Measurement of Tooth Color Using Spectrophotometry and ICDAS: Quantifying CIELAB Color Changes Across Caries Severity.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Current trends in digital shade matching - A scoping review.The Japanese dental science review · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  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

3 authors.

Farah RashidAdelaide Dental School, The University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0002-2017-2454
Taseef Hasan FarookAdelaide Dental School, The University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0001-5905-1572
James DudleyAdelaide Dental School, The University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0002-2004-0531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of aesthetic excellence in dentistry, shaped by societal trends and digital advancements, highlights the critical role of precise shade matching in restorative procedures. Although conventional methods are prevalent, challenges such as shade guide variability and subjective interpretation necessitate a re-evaluation in the face of emerging non-proximity digital instruments. This systematic review employs PRISMA protocols and keyword-based search strategies spanning the Scopus

Indexed as

aesthetic dentistrycolour analysisdigital shade matchingmetamerismphotography

Identifiers

PMID37999014
PMCPMC10670912

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.