Evidence map›Paper›PMID 38107453›Full record

ArticleJournal of advanced pharmaceutical technology & research

Assessment of drug utilization pattern of antimicrobial agents in hospitalized patients with Infectious Diseases: A cross-sectional study in the United Arab Emirates.

Ahmad Ismail Abu Nawa, Javedh Shareef, Padma Guru Madhav Rao, Ain Ur Rashid

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced pharmaceutical technology & research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 1 institution in 2 countries.

Ahmad Ismail Abu NawaDepartment of Clinical Pharmacy and Pharmacology, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Javedh ShareefDepartment of Clinical Pharmacy and Pharmacology, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Padma Guru Madhav RaoRas Al Khaimah College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Ain Ur RashidIbrahim Bin Hamad Obaidullah Hospital, Ras Al Khaimah, United Arab Emirates.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficacious use of antimicrobial agents (AMAs) is paramount to combat a wide range of infections, ensure patient safety, and reduce antimicrobial resistance. To assess the drug utilization patterns of AMAs in hospitalized patients with infectious diseases in a secondary care hospital. A prospective observational study was conducted for 6 months in the internal medicine department. Data were collected, antimicrobial prescription patterns were screened, and drug utilization was assessed using the anatomical therapeutic chemical/defined daily dose methodology. Furthermore, predictors of the prescription of multiple AMAs were also analyzed. A total of 146 patient case records were reviewed and 285 AMAs were prescribed during the study period with a mean patient age of 54.2 ± 24.4 years. The average number of antimicrobials administered per patient was 1.94 ± 0.94. Respiratory tract infection and urinary tract infection were the common indications, and penicillins were the most prescribed class of AMAs. Multivariate analysis showed that the presence of comorbidities (

Indexed as

Anti-infective agentsbacterial resistancecommunicable diseasesdrug utilizationhealth expenditureWorld Health Organization

Identifiers

PMID38107453
PMCPMC10723168
OpenAlexW4388239285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.