Evidence map›Paper›PMID 30775706›Full record

ArticleEuropean oral research2018

İsmail Hakkı Baltacıoğlu, Gülbike Demirel, Mehmet Eray Kolsuz, Kaan Orhan

Abstract read
In one paragraph

Article in European oral research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

İsmail Hakkı BaltacıoğluDepartment of Operative Dentistry, Ankara University Faculty of Dentistry, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8134-1760
Gülbike DemirelDepartment of Operative Dentistry, Ankara University Faculty of Dentistry, Ankara, Turkey.ORCID https://orcid.org/0000-0002-0828-0532
Mehmet Eray KolsuzDepartment of Dentomaxillofacial Radiology, Ankara University Faculty of Dentistry, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8872-1897
Kaan OrhanDepartment of Dentomaxillofacial Radiology, Ankara University Faculty of Dentistry, Ankara, Turkey.ORCID https://orcid.org/0000-0001-6768-0176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the differences between the positional relationship of the crown contour and the pulp chamber of left and right maxillary first molars, as well as their morphological characteristics by using micro-CT system with reconstruction from a volumetric rendering software. MATERIALS AND

methodsIn total, 21 extracted maxillary first molars, including 11 left and 10 right teeth, were used. The positional relationship between the crown contour, pulp chamber and morphology of the teeth were investigated three-dimensionally by means of micro-CT imaging.

resultsClosest distance of mesio-buccal pulp horn to enamel surface in mm was calculated as 2.5±0.20 mm for right and 2.29±0.17 mm for left teeth. This difference was statistically significant (p=0.017). The means of closest distance of disto-buccal pulp horn to enamel surface were also significantly different between left and right teeth (p=0.001). The mean pulp volumes of right side and left side teeth were, respectively, 32.94±3.19 mm

conclusionThese results suggest that right and left maxillary first molars should be treated differently during preparation of cavities. Further studies must be done with larger samples as well as for other molar teeth in different populations to reveal the morphology of the molar for further considerations in restorative dentistry.

Indexed as

anatomymaxillary molarsMicro CTpulp dimensionsrestorative dentistry

Identifiers

PMID30775706
PMCPMC6365124

What OpenQuestion holds

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Registered trials

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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.