Evidence map›Paper›PMID 40566533›Full record

ReviewLife (Basel, Switzerland)2025

Literature Review of Prognostic Factors in Secondary Generalized Peritonitis.

Valerii Luțenco, Adrian Beznea, Raul Mihailov, George Țocu, Verginia Luțenco, Oana Mariana Mihailov, Mihaela Patriciu, Grigore Pascaru, Liliana Baroiu

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

9 authors.

Valerii LuțencoFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.ORCID 0009-0001-6620-7851
Adrian BezneaFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.
Raul MihailovFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.ORCID 0000-0001-7081-9490
George ȚocuFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.
Verginia LuțencoClinical Children Emergency Hospital "Sf. Ioan", 800487 Galați, Romania.
Oana Mariana MihailovFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.
Mihaela PatriciuFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.
Grigore PascaruClinical Emergency Hospital "Sf. Ap. Andrei", 800578 Galați, Romania.
Liliana BaroiuFaculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galati, 800008 Galați, Romania.ORCID 0000-0002-7602-8435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generalized secondary peritonitis is a life-threatening intra-abdominal infection requiring urgent surgical intervention. Despite advances in surgical and antimicrobial therapy, morbidity and mortality remain high. Identifying key prognostic factors is crucial for improving patient outcomes. This review examines significant prognostic indicators and explores the potential role of scoring systems and artificial intelligence in risk stratification. A review was conducted using PubMed, Web of Science, Scopus, and Medline databases. Studies published from 2000 to 2024 focusing on prognostic factors in secondary peritonitis were included. A total of 145 studies were identified, with 40 selected based on relevance and methodological quality. Data extraction included patient demographics, comorbidities, severity scores, microbiological profiles, and artificial intelligence applications in peritonitis management. Poor prognosis was associated with advanced age, severe sepsis, organ failure, chronic kidney disease, cardiovascular comorbidities, and diabetes mellitus. The Mannheim Peritonitis Index (MPI) remains a widely validated prognostic tool, while APACHE II and SOFA scores also provide valuable risk estimates. Increasing multidrug-resistant infections further complicate management and impact outcomes. Emerging evidence suggests that machine learning algorithms may improve early risk stratification and individualized outcome prediction when integrated with conventional scoring systems. Identifying prognostic factors remains essential for optimizing outcomes in secondary peritonitis, and future research should prioritize the clinical validation and integration of AI-based models into perioperative management protocols.

Indexed as

abdominal sepsiscomorbiditiesperitonitisprognostic

Identifiers

PMID40566533
PMCPMC12194641

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.