Evidence map›Paper›PMID 33143592›Full record

ArticleJournal of the Royal Society, Interface2020

Phytoliths can cause tooth wear.

Fernando Rodriguez-Rojas, Oscar Borrero-Lopez, Paul J Constantino, Amanda G Henry, Brian R Lawn

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
18.8field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Macroscopic dental measures in guinea pigs (Journal of the Royal Society, Interface · 2023
    Article
  5. Article
  6. Review
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 4 institutions in 3 countries.

Fernando Rodriguez-RojasDepartamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, 06006 Badajoz, Spain.
Oscar Borrero-LopezDepartamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, 06006 Badajoz, Spain.
Paul J ConstantinoDepartment of Biology, Saint Michael's College, Colchester, VT 05439, USA.
Amanda G HenryDepartment of Archaeological Sciences, Faculty of Archaeology, Leiden University, 2333CC Leiden, The Netherlands.
Brian R LawnMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Universidad de Extremadura · ESLeiden University · NLNational Institute of Standards and Technology · USSaint Michael's College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative laboratory sliding wear tests on extracted human molar teeth in artificial saliva with third-body particulates demonstrate that phytoliths can be as effective as silica grit in the abrasion of enamel. A pin-on-disc wear testing configuration is employed, with an extracted molar cusp as a pin on a hard disc antagonist, under loading conditions representative of normal chewing forces. Concentrations and sizes of phytoliths in the wear test media match those of silica particles. Cusp geometries and ensuing abrasion volumes are measured by digital profilometry. The wear data are considered in relation to a debate by evolutionary biologists concerning the relative capacities of intrinsic mineral bodies within plant tissue and exogenous grit in the atmosphere to act as agents of tooth wear in various animal species.

Indexed as

Tooth WearAnimalsHumansMasticationMolarPlantsSilicon DioxideSilicon Dioxidephytolithssilica grittooth enamelwear rate

Identifiers

PMID33143592
PMCPMC7729037
OpenAlexW3095036756

What OpenQuestion holds

Textmetadata
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.