Evidence map›Paper›PMID 29177754›Full record

ReviewProgress in orthodontics2017

A review of biomarkers in peri-miniscrew implant crevicular fluid (PMICF).

Avinash Kaur, Om P Kharbanda, Priyanka Kapoor, Dinesh Kalyanasundaram

Open access · diamondAbstract readReview
In one paragraph

Review in Progress in orthodontics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

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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 3 institutions in 1 country.

Avinash KaurCentre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Om P KharbandaCentre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India. opk15@hotmail.com.
Priyanka KapoorDepartment of Orthodontics, Faculty of Dentistry, Jamia Millia Islamia, New Delhi, India.
Dinesh KalyanasundaramCentre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Indian Institute of Technology Delhi · INAll India Institute of Medical Sciences · INJamia Millia Islamia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe temporary anchorage devices (TADs) which include miniscrew implants (MSIs) have evolved as useful armamentarium in the management of severe malocclusions and assist in complex tooth movements. Although a multitude of factors is responsible for the primary and secondary stability of miniscrew implants, contemporary research highlights the importance of biological interface of MSI with bone and soft tissue in augmenting the success of implants. The inflammation and remodeling associated with MSI insertion or loading are reflected through biomarkers in peri-miniscrew implant crevicular fluid (PMICF) which is analogous to the gingival crevicular fluid. Analysis of biomarkers in PMICF provides indicators of inflammation at the implant site, osteoclast differentiation and activation, bone resorption activity and bone turnover. The PMICF for assessment of these biomarkers can be collected non-invasively via paper strips, periopaper or micro capillary pipettes and analysed by enzyme-linked immunosorbent assay (ELISA) or immunoassays. The markers and mediators of inflammation have been previously studied in relation to orthodontic tooth movement include interleukins (IL-1β, IL-2, IL-6 and IL-8), growth factors and other proteins like tumour necrosis factor (TNF-α), receptor activator of nuclear factor kappa-B ligand (RANKL), chondroitin sulphate (CS) and osteoprotegerin (OPG). Studies have indicated that successful and failed MSIs have different concentrations of biomarkers in PMICF. However, there is a lack of comprehensive information on this aspect of MSIs. Therefore, a detailed review was conducted on the subject.

resultsA literature search revealed six relevant studies: two on IL-1β; one on IL-2, IL-6 and IL-8; one on TNF-α; one on CS; and one on RANKL/OPG ratio. One study showed an increase in IL-1β levels upon MSI loading, peak in 24 hours (h), followed by a decrease in 21 days to reach baseline in 300 days. A 6.87% decrease in IL-2 levels was seen before loading and a 5.97% increase post-loading. IL-8 showed a 6.31% increase after loading and IL-6 increased by 3.08% before MSI loading and 15.06% after loading. RANKL/OPG ratio increased in loaded compared to unloaded MSIs.

conclusionsCytokines (mainly ILs and TNF-α) and RANKL/OPG ratio showed alteration in PMICF levels upon loading of MSIs as direct or indirect anchorage.

Indexed as

Bone ScrewsBiomarkersBone RemodelingChondroitin SulfatesCytokinesGingival Crevicular FluidHumansInflammationInterleukinsOrthodontic Anchorage ProceduresOsteoprotegerinRANK LigandTooth Movement TechniquesTumor Necrosis Factor-alphaBiomarkersChondroitin SulfatesCytokinesInterleukinsOsteoprotegerinRANK LigandTNFSF11 protein, humanTumor Necrosis Factor-alphaBiomarkerIL-1β, IL-2, IL-6, IL-8OPGOrthodontic tooth movement (OTM)Peri-miniscrew implant crevicular fluid (PMICF)RANKLTNF-α

Identifiers

PMID29177754
PMCPMC5702602
OpenAlexW2767328400

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.