Evidence map›Paper›PMID 41024916›Full record

ArticleCureus2025

Surgical Site Infections in a Tertiary Hospital in Egypt: Bacterial Isolates and Antibiotic Sensitivity Profiles.

Amgad A Ezzat Othman, Esraa R Abu Bakr, Mohamed S Hemeda Mohamed, Mohamed Abdel Basit Ibrahim Mohamed, Gamal G Shimy Mohammed, Ayman S Yassin Alsayed

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Amgad A Ezzat OthmanDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Al-Azhar University, Assiut, EGY.
Esraa R Abu BakrDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Al-Azhar University, Assiut, EGY.
Mohamed S Hemeda MohamedDepartment of Forensic Medicine and Clinical Toxicology, Port Said University, Port Said, EGY.
Mohamed Abdel Basit Ibrahim MohamedDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Al-Azhar University, Assiut, EGY.
Gamal G Shimy MohammedDepartment of General Surgery, Faculty of Medicine, Al-Azhar University, Assiut, EGY.
Ayman S Yassin AlsayedDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Al-Azhar University, Assiut, EGY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Surgical Site Infections (SSIs) are among the most common and costly postoperative complications, significantly impacting patient recovery and healthcare systems. Their burden is especially pronounced in low- and middle-income countries due to limited resources and inconsistent infection control practices. Objective To investigate the prevalence, microbial aetiology, and antimicrobial resistance patterns of SSIs in Al-Azhar University Hospital, Assiut, Egypt. Methods A prospective surveillance study was conducted on 90 patients undergoing general, gynaecological, urological, orthopaedic, and neurosurgical procedures. Patients were monitored for up to 90 days postoperatively. Wound swabs were collected, cultured, and analysed using both conventional microbiological methods and the automated VITEK-2 system (bioMérieux, France). Antibiotic susceptibility was assessed via the Kirby-Bauer disk diffusion method (Thermo Fisher Scientific, Basingstoke, UK) and VITEK-2. Results The most frequently isolated pathogen was

Indexed as

antimicrobial resistanceegyptpostoperative infectionstaphylococcus aureussurgical site infectionsvitek-2

Identifiers

PMID41024916
PMCPMC12476524

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.