Evidence map›Paper›PMID 40615481›Full record

ArticleScientific reports2025

Assessment of the occurrence of adverse events through the global trigger tool in a university hospital in Italy.

Vincenza Sansone, Giovanna Paduano, Maria Rosaria D'Emma, Maria Pavia

Abstract read
In one paragraph

Article in Scientific reports, 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. Observational
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.

Vincenza SansoneDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Luciano Armanni, 5, Naples, Italy.
Giovanna PaduanoDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Luciano Armanni, 5, Naples, Italy.
Maria Rosaria D'EmmaDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Luciano Armanni, 5, Naples, Italy.
Maria PaviaDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Via Luciano Armanni, 5, Naples, Italy. maria.pavia@unicampania.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reporting of adverse events (AEs) through incident reporting (IR) is considered a valuable tool to ensure their analysis. In addition, the Global Trigger Tool (GTT) methodologies allow a review of clinical records through triggers. The purposes of this study were to assess the occurrence, type and severity of AEs detected by the GTT, comparing the results with the IR system. A retrospective study was conducted between September and November 2023 in Italy on 500 clinical records of patients admitted in 2022 and 2023. A total of 59 AEs were detected in 45 patients (11.8%), and all were associated with at least one trigger. The most frequent AEs were healthcare-associated infections (HAI) (32.2%), medication (27.1%), procedures (23.7%), and healthcare-related AEs (17%). Only 3.4% of the AEs revealed by GTT were also reported in the IR system. Male sex, higher Charlson index, and length of stay were significantly associated with higher results of AE. Significant predictors of in-hospital death were permanence in intensive care units and exposure to central venous catheter. The GTT demonstrated to be feasible and to provide a broader evaluation of the pattern of AEs in the hospital. The findings suggest the need to rely on multiple data sources and methodologies to identify AEs.

Indexed as

Cross InfectionHospitals, UniversityAdultAgedAged, 80 and overFemaleHospital MortalityHumansIntensive Care UnitsItalyLength of StayMaleMiddle AgedRetrospective StudiesAdverse eventsGlobal trigger toolItalyPatient safetyUniversity hospital

Identifiers

PMID40615481
PMCPMC12227586

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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.