Evidence map›Paper›PMID 40426568›Full record

ArticleAntibiotics (Basel, Switzerland)2025

Molecular Detection of Antibiotic Resistance Genes Using Respiratory Sample from Pneumonia Patients.

Eman Abdullah Alsuof, Ahmad R Alsayed, Manar Saleh Zraikat, Heba A Khader, Luai Z Hasoun, Mamoon Zihlif, Osama Abu Ata, Malek A Zihlif, Mahmoud Abu-Samak, Mohammed Al Maqbali

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2025. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Observational
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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.

Eman Abdullah AlsuofDepartment of Pharmacology, School of Medicine, The University of Jordan, Amman 11942, Jordan.
Ahmad R AlsayedDepartment of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931, Jordan.ORCID 0000-0002-1324-7884
Manar Saleh ZraikatDepartment of Pharmacology, School of Medicine, The University of Jordan, Amman 11942, Jordan.ORCID 0000-0001-9880-1305
Heba A KhaderDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa 13133, Jordan.
Luai Z HasounDepartment of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931, Jordan.ORCID 0000-0002-5810-0915
Mamoon ZihlifDepartment of Internal Medicine, Section of Pulmonary Diseases, Islamic Hospital, Amman 11181, Jordan.
Osama Abu AtaDepartment of Internal Medicine, Section of Infectious Disease, Islamic Hospital, Amman 11181, Jordan.
Malek A ZihlifDepartment of Pharmacology, School of Medicine, The University of Jordan, Amman 11942, Jordan.
Mahmoud Abu-SamakDepartment of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Applied Science Private University, Amman 11931, Jordan.
Mohammed Al MaqbaliDepartment of Internal Medicine, Fatima College of Health Sciences, Al Ain 999041, United Arab Emirates.ORCID 0000-0003-2023-5627

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

objectivesAntibiotic resistance makes the treatment of pneumonia challenging. Effective management depends on accurate diagnostic techniques to identify resistance genes and customize drugs. This study primarily aimed to identify antibiotic resistance genes in respiratory samples from patients with pneumonia using polymerase chain reaction (PCR) to determine the prevalence of specific resistance genes and analyze clinical factors contributing to antibiotic resistance, as well as to provide actionable insights into resistance patterns in Jordan and support efforts to improve pneumonia management.

methodsThis retrospective observational study included 114 patients who were diagnosed with pneumonia. Clinical data, including prior antibiotic exposure and treatment history, were collected. PCR diagnostics were used to detect resistance genes in respiratory samples. In this study, we evaluated 14 antibiotic resistance genes in pneumonia pathogens, highlighting their diverse resistance mechanisms.

results

conclusionsThis study demonstrates the utility of PCR-based diagnostics for detecting resistance genes and highlights the critical clinical factors associated with antibiotic resistance in patients with pneumonia. These findings underscore the importance of integrating molecular diagnostics into routine care to improve treatment outcomes and combat the growing threat of antibiotic resistance in Jordan. This highlights PCR's value in guiding effective treatment strategies and addressing multidrug-resistant pneumonia.

Indexed as

antibiotic-resistant genesantimicrobialepidemiologyhospitalpneumonia

Identifiers

PMID40426568
PMCPMC12108368

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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.