Evidence map›Paper›PMID 41471171›Full record

ArticlePathogens (Basel, Switzerland)2025

Microbiological Findings and Risk Profiles in Hepatobiliary and Pancreatic Surgery Associated Surgical Site Infections: A Retrospective Cohort Study.

Mehmet Erinmez, Hatice Birgin, Latif Yılmaz, Yasemin Zer

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2025. 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. Article
  2. Review
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.

Mehmet ErinmezDepartment of Medical Microbiology, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0000-0002-3570-3510
Hatice BirginDepartment of Medical Microbiology, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0009-0003-8293-5175
Latif YılmazDepartment of General Surgery, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0000-0003-2528-9691
Yasemin ZerDepartment of Medical Microbiology, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0000-0002-9078-9900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical site infections (SSIs) are among the most frequent healthcare-associated infections, leading to prolonged hospitalization, increased costs, and impaired recovery. This retrospective cohort study aimed to identify the determinants and microbial patterns of SSIs following hepatobiliary and pancreatic (HPB) surgery to inform preventive strategies and optimize clinical outcomes. The patients undergoing hepatobiliary and pancreatic surgery from 2014 to 2024 in a tertiary university hospital are reviewed. SSI was defined according to Centers for Disease Control and Prevention (CDC) criteria, and microbiological isolates were identified through routine culture methods and susceptibility testing. Clinical, operative, and microbiological data of patients who underwent hepatobiliary and pancreatic surgery were extracted, including demographics, comorbidities, operative characteristics, and postoperative outcomes. Among 553 hepatobiliary and pancreatic surgery patients, SSI occurred in 48.6%. Gram-negative bacteria predominated, with

Indexed as

Surgical Wound InfectionAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsEscherichia colihepatobiliary surgerymicrobiological profilepancreatic surgerypredictive risk modelprolonged operative timesurgical site infections

Identifiers

PMID41471171
PMCPMC12736066

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.