Evidence map›Paper›PMID 28571512›Full record

ArticleJournal of dental research2017

Relationships among Bone Quality, Implant Osseointegration, and Wnt Signaling.

J Li, X Yin, L Huang, S Mouraret, J B Brunski, L Cordova, B Salmon, J A Helms

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of dental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Relationship Between Primary/Mechanical and Secondary/Biological Implant Stability.The International journal of oral & maxillofacial implants
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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

8 authors at 3 institutions in 4 countries.

J Li1 State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
X Yin1 State Key Laboratory of Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
L Huang2 Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
S Mouraret2 Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
J B Brunski2 Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
L Cordova2 Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
B Salmon5 EA 2496, Orofacial Pathologies, Imaging and Biothérapies Laboratoire, L'Université Paris Descartes, Sorbonne Paris Cité, Montrouge, France.
J A Helms2 Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USAssistance Publique – Hôpitaux de Paris · FRState Key Laboratory of Oral Diseases

Funding

Mechanobiology at Healing Bone-Implant InterfacesR01DE024000 · NIDCR · STANFORD UNIVERSITY · PI BRUNSKI, JOHN BEYER, HELMS, JILL A · 2014 to 2018
$3.4M
NIDCR NIH HHS R01 DE024000
6 · The paper itself

Abstract

A variety of clinical classification schemes have been proposed as a means to identify sites in the oral cavity where implant osseointegration is likely to be successful. Most schemes are based on structural characteristics of the bone, for example, the relative proportion of densely compact, homogenous (type I) bone versus more trabeculated, cancellous (type III) bone. None of these schemes, however, consider potential biological characteristics of the bone. Here, we employed multiscale analyses to identify and characterize type I and type III bones in murine jaws. We then combined these analytical tools with in vivo models of osteotomy healing and implant osseointegration to determine if one type of bone healed faster and supported osseointegration better than another. Collectively, these studies revealed a strong positive correlation between bone remodeling rates, mitotic activity, and osteotomy site healing in type III bone and high endogenous Wnt signaling. This positive correlation was strengthened by observations showing that the osteoid matrix that is responsible for implant osseointegration originates from Wnt-responsive cells and their progeny. The potential application of this knowledge to clinical practice is discussed, along with a theory unifying the role that biology and mechanics play in implant osseointegration.

Indexed as

Bone DensityDental Implantation, EndosseousDental ImplantsAlveolar ProcessAnimalsBone RemodelingMiceOsseointegrationOsteotomyRandom AllocationReal-Time Polymerase Chain ReactionSignal TransductionTooth ExtractionWnt Signaling PathwayWound HealingX-Ray MicrotomographyDental Implantsalveolar ridgebone densitybone mineralizationdental implantsosteotomystem cell

Identifiers

PMID28571512
PMCPMC5480808
OpenAlexW2601594867

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.