# Vizzielli’s Score Calculator

> Predicts major postoperative complications in ovarian cancer surgery. (iPhone/iPad app by Software Engineering Research and Practices.)

- Source: https://appshunter.io/ios/app/vizziellis-score-calculator/id1200496988 (this page in markdown: same URL + `.md`)
- Developer: [Software Engineering Research and Practices](https://appshunter.io/developer/826510402)
- Category: Medical, Health & Fitness
- Price: Free
- Age rating: 12+
- Requires: iOS 10.0 · 4 MB
- Languages: American English
- Released: 2017-02-03
- Data updated: 2026-06-01
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/vizziellis-score-calculator/id1200496988/reviews.md

## What is Vizzielli’s Score Calculator?

The patient's ability to tolerate surgery without significant morbidity is an important factor in triaging advanced epithelial ovarian cancer (AEOC) patients for initial surgical management. Indeed, the clinician could use this information to personalize decisions regarding upfront surgical cytoreduction versus neoadjuvant chemotherapy. The aim of our model is to develop and validate a simple adjusted laparoscopic score to predict major postoperative complications after primary debulking surgery (PDS) in AEOC.
To obtain a simple and easily applicable pre-operative score, the number of potential predictors
was a priori restricted to the parameters with the best performance (p less than 0.2) at multivariate analysis. Overlapping factors were removed based on their strong correlation and subsequent overfitting risk. The study population was randomly divided in a “derivation group” (n = 370) representing two-thirds of overall patients, and in a “validation group” (n= 185). 
The multivariate model to predict major complications was developed in the derivation group. The regression coefficients of the predictive parameters were shrunk by the calculated constant shrinkage factor (0.94) and then transformed the results into simple points. The mean risk for each point was calculated, and a scale to associate the predicted risk to each score was developed. Significant predictors included in the scoring system were: poor performance status, presence of ascites (N greater than 500 cm3), CA125 serum level (N greater than 1000 U/ml), and high laparoscopic tumor load (predictive index value, PIV=8). The sum of each value for each variable made the overall predictive risk score, which ranged between 0 and 8.  Then, the score and the predicted risk were computed for each patient in the validation population, and these new variables were tested using the c-statistic and the Hosmer–Lemeshow test. Since our model was developed and validated on the same data, the performance could be too optimistic. However, to correct for the optimism in discriminative ability, the steps taken into Cox regression were internally validated by 200 random bootstrap samples and a subsequent correction for optimism in the c-statistic was performed. Moreover, since the model reflects a continuum of risk assessment, women were equally categorized a priori into three different classes: high risk group for score between 6 and 8, intermediate risk group for score between 3 and 5, and low risk group for score between 0 and 2. The prediction of risk of major complications using the score as progressive values is:
2.2% for score 0
3.5% for score 1
5.4% for score 2
8.4% for score 3
12.7% for score 4
18.7% for score 5
26.7% for score 6
36.7% for score 7
47.9% for score 8
The mean risk of developing major postoperative complications was 3.7%, 13.2% and 37.1% for low risk group, intermediate risk group and high risk group, respectively. 
To make more user-friendly this model, we have thought to develop an application for mobile devices. Indeed, despite the accuracy of internal validation by using a randomly selected 33% of the study cohort, a limitation of our model is the lack of validation in other centers and healthcare systems, which is a prerequisite for large-scale adoption of this score. In this context, although we acknowledge that laparoscopy is not adopted in many international centers, our results increase its indications and call for a larger use as valuable diagnostic tool in AEOC. Moreover, this application for mobile devices increase its reproducibility. Lastly, through this app, the surgeon may accurately and easily predict a patient's postoperative outcome with an early identification of high-risk woman, thus adopting tailored strategies on individual basis. 
* Vizzielli G, et al. A laparoscopic risk-adjusted model to predict major complications after primary debulking surgery in ovarian cancer: A single-institution assessment. Gynec Oncol. 2016 Jul;142(1):19-24.

## Key features

- Pre-operative risk score calculation
- Predicts major postoperative complications
- Personalizes surgical decisions
- Assesses surgical risk for AEOC patients
- Categorizes risk into low, intermediate, and high groups

## Recent user reviews (3 of 3)

All indexed reviews: https://appshunter.io/ios/app/vizziellis-score-calculator/id1200496988/reviews.md

### 5/5 — Fondamentale

*2017-03-02, version 1.0*

Fondamentale per ogni specialista gyn-onco . 5 stelle

### 5/5 — Geniale

*2017-02-25, version 1.0*

Uno strumento rapido e preziosissimo per la gestione intraoperatoria del carcinoma ovarico avanzato. GENIALE !

### 5/5 — Yeahh

*2017-02-25, version 1.0*

Very usefull tool for gyn onco surgeon!!

## Frequently asked questions about Vizzielli’s Score Calculator

### What is Vizzielli’s Score Calculator used for?

Vizzielli’s Score Calculator is used to predict the likelihood of major postoperative complications in patients with advanced epithelial ovarian cancer (AEOC) undergoing primary debulking surgery. It assists clinicians in making personalized decisions regarding upfront surgical cytoreduction versus neoadjuvant chemotherapy.

### What factors are included in the Vizzielli’s Score Calculator?

The score incorporates significant predictors such as poor performance status, presence of ascites (N > 500 cm3), CA125 serum level (N > 1000 U/ml), and high laparoscopic tumor load (PIV=8). The sum of these values generates the overall predictive risk score.

### How does Vizzielli’s Score Calculator categorize risk?

Patients are categorized into three risk groups based on their score: low risk (score 0-2), intermediate risk (score 3-5), and high risk (score 6-8). The mean risk of major complications is 3.7% for low risk, 13.2% for intermediate risk, and 37.1% for high risk groups.

### What is the predicted risk of complications for each score in Vizzielli’s Score Calculator?

The predicted risk ranges from 2.2% for a score of 0 up to 47.9% for a score of 8. For example, a score of 4 has a predicted risk of 12.7% for major postoperative complications.

### On which devices can Vizzielli’s Score Calculator be used?

Vizzielli’s Score Calculator is available for iPhone, iPad, and iPod devices. It is designed for use on Apple's mobile operating system.

### When was Vizzielli’s Score Calculator last updated?

The latest version of Vizzielli’s Score Calculator was released on October 30, 2020. The initial release date was February 3, 2017.

### Is Vizzielli’s Score Calculator suitable for all ages?

Vizzielli’s Score Calculator has an age rating of 12+, indicating it is suitable for users aged 12 and older. This rating is based on general content appropriateness.

### Does Vizzielli’s Score Calculator have ads?

No, Vizzielli’s Score Calculator does not contain advertisements. It is a free application designed without ad interruptions.

## Version history (last 2 releases)

### 1.1 — 2020-10-30

Added disclaimer for FAGOTTI'S SCORE (PIV)
Update resolution for new iPhone

### 1.0 — 2017-02-03

No release notes.

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-01.*