Evidence map›Paper›PMID 22567314›Full record

ArticleAnatomy research international2012

Imaging an adapted dentoalveolar complex.

Ralf-Peter Herber, Justine Fong, Seth A Lucas, Sunita P Ho

Open access · hybridAbstract read
In one paragraph

Article in Anatomy research international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 1 institution in 1 country.

Ralf-Peter HerberDivision of Orthodontics, Department of Orofacial Sciences, University of California San Francisco, San Francisco, CA 94143, USA.
Justine Fong
Seth A Lucas
Sunita P Ho
University of California, San Francisco · US

Funding

Innate Immunity and KSHVR01DE018281 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAMANIA, BLOSSOM A · 2007 to 2016
$3.5M
Load-mediated Adaptation of the Bone-PDL-Tooth Complex in VertebratesR01DE022032 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HO, SUNITA P · 2012 to 2021
$3.4M
High Resolution Non-Invasive Imaging of Oral and Craniofacial TissuesS10RR026645 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HO, SUNITA P · 2010 to 2010
$500k
NCRR NIH HHS S10 RR026645NIDCR NIH HHS R01 DE018281NIDCR NIH HHS R01 DE022032
6 · The paper itself

Abstract

Adaptation of a rat dentoalveolar complex was illustrated using various imaging modalities. Micro-X-ray computed tomography for 3D modeling, combined with complementary techniques, including image processing, scanning electron microscopy, fluorochrome labeling, conventional histology (H&E, TRAP), and immunohistochemistry (RANKL, OPN) elucidated the dynamic nature of bone, the periodontal ligament-space, and cementum in the rat periodontium. Tomography and electron microscopy illustrated structural adaptation of calcified tissues at a higher resolution. Ongoing biomineralization was analyzed using fluorochrome labeling, and by evaluating attenuation profiles using virtual sections from 3D tomographies. Osteoclastic distribution as a function of anatomical location was illustrated by combining histology, immunohistochemistry, and tomography. While tomography and SEM provided past resorption-related events, future adaptive changes were deduced by identifying matrix biomolecules using immunohistochemistry. Thus, a dynamic picture of the dentoalveolar complex in rats was illustrated.

Identifiers

PMID22567314
PMCPMC3335703
OpenAlexW2043127614

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.