Evidence map›Paper›PMID 38637787›Full record

ReviewJournal of biological engineering2024

Recent advances in nanomaterial-based biosensor for periodontitis detection.

Mohammad Hosseini Hooshiar, Masoud Amiri Moghaddam, Mohammad Kiarashi, Athraa Y Al-Hijazi, Abbas Fadel Hussein, Hareth A Alrikabi, Sara Salari, Samar Esmaelian, Hassan Mesgari, Saman Yasamineh

RetractedAbstract readReview
In one paragraph

Review in Journal of biological engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Mohammad Hosseini HooshiarDepartment of Periodontology, Tehran University of Medical Sciences, Tehran, Iran.
Masoud Amiri MoghaddamAssistant Professor of Periodontics, Dental Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad KiarashiCollege of Dentistry, Lorestan University of Medical Sciences, Khorramabad, Iran.
Athraa Y Al-HijaziCollege of Dentistry, Al-Mustaqbal University, Babylon, 51001, Iraq.
Abbas Fadel HusseinDepartment of Dentistry, Al-Noor University College, Nineveh, Iraq.
Hareth A AlrikabiCollage of Dentist, National University of Science and Technology, Dhi Qar, 64001, Iraq.
Sara SalariDoctor of Dental Surgery, Islamic Azad University of Medical Sciences, Esfahan, Iran.
Samar EsmaelianFaculty of Dentistry, Islamic Azad University, Tehran Branch, Tehran, Iran. Samar.esmaelian@gmail.com.
Hassan MesgariDepartment, Faculty of Dentistry Oral and Maxillofacial Surgery, Islamic Azad University, Tehran Branch, Tehran, Iran. h.mesgari@iautmu.ac.ir.
Saman YasaminehYoung Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontitis, a chronic inflammatory condition caused by bacteria, often causes gradual destruction of the components that support teeth, such as the alveolar bone, cementum, periodontal ligament, and gingiva. This ultimately results in teeth becoming loose and eventually falling out. Timely identification has a crucial role in preventing and controlling its progression. Clinical measures are used to diagnose periodontitis. However, now, there is a hunt for alternative diagnostic and monitoring methods due to the progress of technology. Various biomarkers have been assessed using multiple bodily fluids as sample sources. Furthermore, conventional periodontal categorization factors do not provide significant insights into the present disease activity, severity and amount of tissue damage, future development, and responsiveness to treatment. In recent times, there has been a growing utilization of nanoparticle (NP)-based detection strategies to create quick and efficient detection assays. Every single one of these platforms leverages the distinct characteristics of NPs to identify periodontitis. Plasmonic NPs include metal NPs, quantum dots (QDs), carbon base NPs, and nanozymes, exceptionally potent light absorbers and scatterers. These find application in labeling, surface-enhanced spectroscopy, and color-changing sensors. Fluorescent NPs function as photostable and sensitive instruments capable of labeling various biological targets. This article presents a comprehensive summary of the latest developments in the effective utilization of various NPs to detect periodontitis.

Indexed as

BiomarkersDetectionNanobiosensorsNanoparticlesPeriodontitis

Identifiers

PMID38637787
PMCPMC11027550

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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.