Evidence map›Paper›PMID 27501489›Full record

ReviewPeriodontology 20002016

From restoration to regeneration: periodontal aging and opportunities for therapeutic intervention.

Lan Huang, Benjamin Salmon, Xing Yin, Jill A Helms

Open access · bronzeAbstract readReview
In one paragraph

Review in Periodontology 2000, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
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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

4 authors at 4 institutions in 3 countries.

Lan Huang
Benjamin Salmon
Xing Yin
Jill A Helms
Sichuan University · CNStanford Medicine · USStomatological Hospital of Chongqing Medical University · CNUniversité Paris Cité · FR

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

With the march of time our bodies start to wear out: eyesight fades, skin loses its elasticity, teeth and bones become more brittle and injuries heal more slowly. These universal features of aging can be traced back to our stem cells. Aging has a profound effect on stem cells: DNA mutations naturally accumulate over time and our bodies have evolved highly specialized mechanisms to remove these damaged cells. Whilst obviously beneficial, this repair mechanism also reduces the pool of available stem cells and this, in turn, has a dramatic effect on tissue homeostasis and on our rate of healing. Simply put: fewer stem cells means a decline in tissue function and slower healing. Despite this seemingly intractable situation, research over the past decade now demonstrates that some of the effects of aging are reversible. Nobel prize-winning research demonstrates that old cells can become young again, and lessons learned from these experiments-in-a-dish are now being translated into human therapies. Scientists and clinicians around the world are identifying and characterizing methods to activate stem cells to reinvigorate the body's natural regenerative process. If this research in dental regenerative medicine pans out, the end result will be tissue homeostasis and healing back to the levels we appreciated when we were young.

Indexed as

AgingAlveolar Bone LossAnimalsBone RegenerationDental CementumHumansMutationPeriodontal LigamentPeriodontiumRegenerationRegenerative MedicineStem CellsWound Healing

Identifiers

PMID27501489
PMCPMC6190904
OpenAlexW2507749653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.