Evidence map›Paper›PMID 33551594›Full record

ArticleJournal of conservative dentistry : JCD

Micro-computed tomographic evaluation of smear layer and accumulated hard tissue debris removal.

Giovani Antonio Ortigara, Maíra Prado, Ricardo Tadeu Lopes, Bernardo Camargo Dos Santos, Heloisa Gusman

Open access · greenAbstract read
In one paragraph

Article in Journal of conservative dentistry : JCD. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Giovani Antonio OrtigaraDepartment of Dental Clinic, School of Dentistry, Federal University of Rio de Janeiro, Brazil.
Maíra PradoDepartment of Dental Clinic, School of Dentistry, Federal University of Rio de Janeiro, Brazil.
Ricardo Tadeu LopesDepartment of Nuclear Instrumentation Laboratory, Technology Center, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Bernardo Camargo Dos SantosDepartment of Dental Clinic, School of Dentistry, Federal University of Rio de Janeiro, Brazil.
Heloisa GusmanDepartment of Dental Clinic, School of Dentistry, Federal University of Rio de Janeiro, Brazil.
Universidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe isthmus and irregularities present in the root canal system are potential areas for debris accumulation areas and therefore the seach for devices and solutions to improve cleaning of these areas is of utmust importance. This study evaluated, by micro-computed tomography, the efficiency of 37% phosphoric acid solution with that of 17% EDTA in the removal of smear layer and accumulated hard tissue debris (AHTD) after canal preparation. METHODS AND MATERIALS: Twenty-six mesial roots of mandibular molars were subjected to microtomographic scanning using the SkyScan 1173 X-ray microtomograph at a resolution of 14,97 µm. The canals were prepared using Reciproc R40 instruments, 6% NaOCl and EndoVac System® to irrigation/aspiration. After instrumentation, the specimens were divided into two groups: 37% phosphoric acid solution or 17% EDTA.

resultsThe results demonstrated that 37% phosphoric acid was significantly more effective in removing smear layer and AHTD than 17% EDTA (Mann-Whitney,

conclusionThe results suggest that this solution can be a potential alternative to remove smear layer after root canal preparation.

Indexed as

Mandibular molarsmicro-computed tomographyphosphoric acidroot canal irrigantssmear layer

Identifiers

PMID33551594
PMCPMC7861076
OpenAlexW3110768681

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.