Evidence map›Paper›PMID 27957278›Full record

ReviewJournal of clinical and experimental dentistry2016

Prevention of dental caries: A review of effective treatments.

Claudio Sicca, Elena Bobbio, Natale Quartuccio, Giovanni Nicolò, Angelina Cistaro

Abstract readReview
In one paragraph

Review in Journal of clinical and experimental dentistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Determining the Antibacterial Effect ofJournal of dentistry (Shiraz, Iran) · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Bio-Mechanism Inhibitory Prediction of β-Sitosterol from Kemangi (Advances and applications in bioinformatics and chemistry : AABC · 2021
    Article
  20. 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

5 authors.

Claudio SiccaMD, Indipendent Clinical Dentistry, Forno Canavese and Bruino, Turin, Italy.
Elena BobbioDental University of Turin, Turin, Italy.
Natale QuartuccioMD, Nuclear Medicine Unit Department of Biomedical Sciences and of Mophologic and Functional Images, University of Messina, Italy.
Giovanni NicolòMD, Indipendent Clinical Dentistry, Forno Canavese and Bruino, Turin, Italy.
Angelina CistaroMD, Ph, Positron Emission Tomography Centre IRMET S.p.A., Affidea, Turin, Italy, PET Pediatric AIMN InterGroup, Italy, Institute of Cognitive Sciences and Technologies, CNR, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study is to review medical and non medical treatments for prevention of caries. MATERIAL AND

methodsA comprehensive literature search of the most relevant and updated published studies from 01/01/2002 through December 2015 in PubMed/MEDLINE, Embase and Scopus databases regarding the efficacy of strategies and treatments aiming to prevent the development of caries was performed selecting papers on the basis of the Evidence-based Medicine Criteria.

resultsWe identified thirty systematic reviews on prevention of caries. Analyzing the data the retrieved literature, performance of prevention treatments seems to be high.

conclusionsPrevention treatments may have a relevant impact on the avoiding the development of caries planning.

Identifiers

PMID27957278
PMCPMC5149099

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.