Evidence map›Paper›PMID 38024151›Full record

ReviewFrontiers in oral health2023

Ultraviolet disinfection (UV-D) robots: bridging the gaps in dentistry.

Visha Shailesh Pandya, Mohamed S M Morsy, Ali Abdel-Halim Abdel-Azim Hassan, Hamed A Alshawkani, Abdulelah Sameer Sindi, Khurshid A Mattoo, Vini Mehta, Ankita Mathur, Aida Meto

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 12 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

9 authors at 4 institutions in 4 countries.

Visha Shailesh PandyaDepartment of Public Health Dentistry, Vaidik Dental College & Research Centre, Dadra and Nagar Haveli and Daman and Diu, India.
Mohamed S M MorsyDepartment of Prosthetic Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Ali Abdel-Halim Abdel-Azim HassanDepartment of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Hamed A AlshawkaniDepartment of Restorative Dental Science, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Abdulelah Sameer SindiDepartment of Restorative Dental Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Khurshid A MattooDepartment of Prosthetic Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia.
Vini MehtaDepartment of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India.
Ankita MathurDepartment of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India.
Aida MetoDepartment of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India.
Jazan University · SADr. D.Y. Patil Vidyapeeth, Pune · INDr D Y Patil Dental College & Hospital · INKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintaining a microbe-free environment in healthcare facilities has become increasingly crucial for minimizing virus transmission, especially in the wake of recent epidemics like COVID-19. To meet the urgent need for ongoing sterilization, autonomous ultraviolet disinfection (UV-D) robots have emerged as vital tools. These robots are gaining popularity due to their automated nature, cost advantages, and ability to instantly disinfect rooms and workspaces without relying on human labor. Integrating disinfection robots into medical facilities reduces infection risk, lowers conventional cleaning costs, and instills greater confidence in patient safety. However, UV-D robots should complement rather than replace routine manual cleaning. To optimize the functionality of UV-D robots in medical settings, additional hospital and device design modifications are necessary to address visibility challenges. Achieving seamless integration requires more technical advancements and clinical investigations across various institutions. This mini-review presents an overview of advanced applications that demand disinfection, highlighting their limitations and challenges. Despite their potential, little comprehensive research has been conducted on the sterilizing impact of disinfection robots in the dental industry. By serving as a starting point for future research, this review aims to bridge the gaps in knowledge and identify unresolved issues. Our objective is to provide an extensive guide to UV-D robots, encompassing design requirements, technological breakthroughs, and in-depth use in healthcare and dentistry facilities. Understanding the capabilities and limitations of UV-D robots will aid in harnessing their potential to revolutionize infection control practices in the medical and dental fields.

Indexed as

artificial intelligenceCOVID-19dentistrydisinfection robotrobot sterilizationultraviolet disinfection

Identifiers

PMID38024151
PMCPMC10646406
OpenAlexW4388127129

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.