Evidence map›Paper›PMID 40831462›Full record

ArticleBiosurface and biotribology

On the use of dental microwear texture analysis to determine etiology and assess wear of dental tissues for clinical evaluation.

Peter S Ungar, Anderson T Hara

Abstract read
In one paragraph

Article in Biosurface and biotribology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Peter S UngarDepartment of Anthropology, University of Arkansas, USA.
Anderson T HaraOral Health Research Institute, Department of Biomedical and Applied Sciences, Indiana University School of Dentistry, USA.

Funding

Objective Outcome Measures for the Clinical Assessment of Erosive Tooth WearR21DE026844 · NIDCR · INDIANA UNIVERSITY INDIANAPOLIS · PI HARA, ANDERSON TAKEO · 2018 to 2019
$445k
NIDCR NIH HHS R21 DE026844
6 · The paper itself

Abstract

Here we present and synthesize some recent collaborative efforts in our laboratories to establish protocols for using dental microwear texture analysis, originally developed to reconstruct diets of fossil mammals, to aid in clinical assessment of dental patients today. The idea is to propose a method whereby polyvinylsiloxane impressions, as used in many dental practices, can be combined with surface texture analysis for a rapid, non-invasive, and inexpensive approach to detect and monitor progression of tooth wear at fine scales over short durations and help determine causal agents of dental tissue loss. We employed both in vitro experimentation and in vivo analysis for abrasion and erosion of enamel and dentin surfaces. Three-dimensional point clouds of impression surfaces were generated using a scanning confocal profiler and analyzed using both standard ISO and scale-sensitive fractal analysis approaches. Our results indicate that texture attributes distinguish sound, abraded, and eroded surfaces. Furthermore, microwear textures can parse erosive tooth wear by causal pH level and duration of exposure. These and other related studies indicate that dental microwear texture analysis holds potential for determining etiology of pathological tooth wear, and for clinical assessment and monitoring of dental patients at risk for excessive dental tissue loss at fine scales over short intervals.

Indexed as

abrasionattritionerosionTooth micro-texturetribo-chemical wear

Identifiers

PMID40831462
PMCPMC12360685

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.