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Table 3 Summary of findings table and GRADE evidence profile for safety tools in IR. The study design is already given in Table 2 and was included in the assessment of the quality

From: Avoiding adverse events in interventional radiology – a systematic review on the instruments

Study

Study subject

N

Effect

Outcome measure

Limitation

Quality according to GRADE

Simulator training

 Cates et al. (2016) [19]

Intraoperative errors for carotid artery angiography

6 study subjects (simulator trained operators) vs. 6 controls (traditional training)

49% less intraoperative errors (p < 0.001)

Objectively classified intraoperative error

Small sample size

High

 Nawka et al. (2020) [20]

Dangerous maneuvers in 3 different aneurysm models

3 experienced vs. 3 inexperienced operators

Less dangerous maneuvers in experienced group (median 0.0; 0.0–1.0 IQR) vs. inexperienced group (1.0; 0.0–1.5) (p = 0.014)

Dangerous maneuversa

In vitro study, small sample size

Very low

 Zaika et al. (2020) [21]

Time spent in incorrect vessel in simulation of R-MCA aneurysm

8 clinical anatomy graduate students and 6 residents in neurosurgery and radiology specialties

Significant drop of time spent in incorrect vessel over 8 sessions (p < 0.05)

Pre-defined errors (any deviation from correct pathway)a

In vitro study, small sample size

Very low

 Zaika et al. (2023) [22]

Coiling mistakes in simulation of R-MCA aneurysm

12 participants with minimal or no knowledge of endovascular skills and basic vascular background

Improvement after 6 sessions, but not statistically significant

Coiling errors (protrusion, perforation)a

In vitro study, small sample size

Low

Team training

 Ramjeeawon et al. (2020) [23]

Errors during simulation of TEVAR before and after team training

One team simulation before and after training

No decrease of errors

(p = 0.109)

Pre-defined errors

In vitro, small study sample

Low

Checklist

 Fargen et al. (2013) [25]

Number of adverse events or near-misses before/ after implementation of a checklist in a neurointerventional department

71 procedures before vs. 60 after implementation of checklist

Significant reduction of total number of adverse events or near-misses

(p = 0.001)

Adverse events or near-misses

 

Low

 Lutjeboer et al. (2015) [26]

Number of process deviations in pre-procedural planning and sign in for IR procedures when performing an appointment prior to procedure

110 controls vs. experimental group

Reduction of mean number of process deviations from 0.39 to 0.06 (p < 0.001)

None

EVAR and neuro-interventions were excluded

Very low

 Siewert et al. (2022) [27]

Evaluation of effects after implementation of a postprocedural checkout list

34 safety reports

Reduction of AEs (0.069% to 0.034%; 43% decrease, p = .05)

Reduction of repeat procedures (0.040% to 0.007%; 80% decrease, p = 0.003)

Rate of AEs and repeat procedures

Very short pre-implementation period

Low

Team Time Out

 Morbi et al. (2012) [24]

Number of failures before/ after implementation of a preprocedural team rehearsal for vascular interventional procedures

55 procedures before and 33 after implementation of preprocedural team rehearsal

Decrease of preventable failures (54.6% vs. 27.3%) and failures per hour (18.8 vs. 9.2)

(p < 0.001 for both)

Pre-defined failures

Assessed by a medical student with no prior technical knowledge

Low

  1. Abbreviations: IQR interquartile range, (T)EVAR (thoracic) endovascular aortic repair, R-MCA right middle cerebral artery
  2. aIndirect measure for patient outcome