Evidence map›Paper›PMID 36560510›Full record

ReviewVaccines2022

The Development of Technology to Prevent, Diagnose, and Manage Antimicrobial Resistance in Healthcare-Associated Infections.

Ayman Elbehiry, Eman Marzouk, Adil Abalkhail, Yasmine El-Garawany, Sulaiman Anagreyyah, Yaser Alnafea, Abdulaziz M Almuzaini, Waleed Alwarhi, Mohammed Rawway, Abdelmaged Draz

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  5. Diseases (Basel, Switzerland) · 2024
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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

10 authors at 5 institutions in 2 countries.

Ayman ElbehiryDepartment of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.ORCID 0000-0001-7726-9532
Eman MarzoukDepartment of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.
Adil AbalkhailDepartment of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah 52741, Saudi Arabia.ORCID 0000-0002-2294-9837
Yasmine El-GarawanyClinical Pharmacy Program, Faculty of Pharmacy, Alexandria University, Alexandria 21521, Egypt.
Sulaiman AnagreyyahDepartment of Preventive Medicine, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia.
Yaser AlnafeaDepartment of Statistics, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia.
Abdulaziz M AlmuzainiDepartment of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia.ORCID 0000-0001-9997-7476
Waleed AlwarhiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Mohammed RawwayBiology Department, College of Science, Jouf University, Sakaka 42421, Saudi Arabia.ORCID 0000-0003-0864-5260
Abdelmaged DrazDepartment of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraydah 52571, Saudi Arabia.ORCID 0000-0003-4412-3515
Qassim University · SAKing Fahd Armed Forces Hospital · SAAl-Azhar University · EGAlexandria University · EGKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing risk of antimicrobial resistance (AMR) having an adverse effect on the healthcare system, which results in higher healthcare costs, failed treatments and a higher death rate. A quick diagnostic test that can spot infections resistant to antibiotics is essential for antimicrobial stewardship so physicians and other healthcare professionals can begin treatment as soon as possible. Since the development of antibiotics in the last two decades, traditional, standard antimicrobial treatments have failed to treat healthcare-associated infections (HAIs). These results have led to the development of a variety of cutting-edge alternative methods to combat multidrug-resistant pathogens in healthcare settings. Here, we provide an overview of AMR as well as the technologies being developed to prevent, diagnose, and control healthcare-associated infections (HAIs). As a result of better cleaning and hygiene practices, resistance to bacteria can be reduced, and new, quick, and accurate instruments for diagnosing HAIs must be developed. In addition, we need to explore new therapeutic approaches to combat diseases caused by resistant bacteria. In conclusion, current infection control technologies will be crucial to managing multidrug-resistant infections effectively. As a result of vaccination, antibiotic usage will decrease and new resistance mechanisms will not develop.

Indexed as

alternative therapyantimicrobial resistancemultidrug-resistant bacteriapreventionrapid detection

Identifiers

PMID36560510
PMCPMC9780923
OpenAlexW4311960941

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.