Evidence map›Paper›PMID 41562029›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Surgical site infections occurrence and associated risk factors: a matched case-control study.

Nassab Fakhreddine, Hani Dimassi, Wissam Kabbara, Rola Husni, Sanaa Zoghbi, Hanine Mansour

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

6 authors.

Nassab FakhreddineLebanese American University School of Pharmacy, Byblos, Lebanon.
Hani DimassiLebanese American University School of Pharmacy, Byblos, Lebanon.ORCID https://orcid.org/0000-0003-1827-2453
Wissam KabbaraLebanese American University School of Pharmacy, Byblos, Lebanon.ORCID https://orcid.org/0000-0002-7310-9192
Rola HusniLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Sanaa ZoghbiLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Hanine MansourLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Surgical site infections (SSIs) pose a significant healthcare challenge, raising patient morbidity, mortality, and costs. Various intrinsic, patient-specific, and perioperative factors contribute to SSIs. This study aims to identify SSI-associated risk factors, microorganism types, and antibiotic susceptibility patterns in surgical patients. Design: This is a matched-case control study. Setting: The Lebanese American University Medical Center - Rizk Hospital, Beirut Lebanon. Patients: The study included surgical patients. Methods: This retrospective case-control study analyzed data from surgical patients over a five-year period, matching 113 SSI cases with controls in a 1:3 ratio by gender and surgery type. Results: Among 324 patients (81 cases vs 243 controls), hypoalbuminemia (<3.5 g/dL) and age ≥65 years were significantly associated with SSIs ( Conclusions: Our findings were consistent with similar studies. Elderly patients and those with hypoalbuminemia were found to be at significantly higher risk of SSIs. Also, antibiotic redosing during prolonged surgeries was associated with reduced SSI risk. In terms of SSI rates, gastrointestinal surgeries (GIs) were the highest with 42.3% of GI cases followed appropriate antibiotic protocols. Like other studies, predominant microorganisms at wound site included

Identifiers

PMID41562029
PMCPMC12813717

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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.