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Record W4211212008 · doi:10.1002/ueg2.12209

The use of a smartphone application to disseminate guidelines on pancreatic cystic neoplasms

2022· article· en· W4211212008 on OpenAlexaff
Alberto Balduzzi, Giovanni Marchegiani, Marco Zampese, Roberto Salvia

Bibliographic record

VenueUnited European Gastroenterology Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicineClinical PracticeBest practiceHealth careFamily medicineManagementPolitical science

Abstract

fetched live from OpenAlex

Notwithstanding the existence of expert consensus policies1-3 regarding the management of pancreatic cystic neoplasms (PCNs) for more than a decade, the lack of data on guidelines application in the real word is a matter of concern.4, 5 If guidelines are not enforced in clinical practice, this can result in serious inequalities in terms of PCNs' management. Indeed, whereas most practitioners dealing with PCNs allege to know the available guidelines for their clinical practice,6 which guidelines are chosen in specific clinical scenarios is yet unknown. Smartphone applications are becoming increasingly popular in the modern era and have proven to be useful tools in routine clinical practice. There are currently more than 50,000 healthcare applications for smartphones available in online stores (https://www.statista.com/), steadily increasing over previous years. A smartphone application for both iOS and Android, named “iCyst”, was developed aiming to implement the dissemination of available guidelines and reducing possible discrepancies in PCNs management. Officially release in October 2019, iCyst was developed as part of the project entitled “Current application of the European evidence-based guidelines on pancreatic cystic tumors”, which was promoted by the Department of General and pancreatic Surgery – The Pancreas Institute, University of Verona Hospital Trust (Institutional Review Board approval number 2390CESC – Comitato Etico delle Province di Verona e Rovigo), and received funding from the United European Gastroenterology Activity Grants – Support of Standards & Guidelines initiatives, dissemination of existing clinical practice 2019 (endorse by the European Digestive Surgery – EDS). The app consists of two discrete sections (Figure 1). The “guideline consultation section” was designed for users to navigate through the European evidence-based,1 International Association of Pancreatology (IAP),2 and American Gastroenterological Association (AGA)3 guidelines and to browse the flow charts of each set of guidelines. Both a digitalized format of the actual guideline papers and a standardized form of the guideline flowcharts are displayed. In the simulation section, the user can simulate a specific case scenario and obtain the recommendations of the three guidelines based on the clinical and radiological features entered in the app. iCyst download A specific algorithm (Figure 2) was created based on the PCN classifications and definitions of both the clinical and radiological features derived from the included guidelines.1-3 According to the specific characteristics entered, iCyst can provide advice based on each guideline. The users can select the management of their choice or the “none” button, in the case of disagreement with each of the guidelines' recommendations. The simulations are safely saved in the user profile in a deidentified fashion, and a datasheet including all the entered simulations is available for extraction from the app itself. iCyst algorithm iCyst collects information including the users' name, surname, email, specialty, country, and affiliation. All data collection procedures are in line with the requirements of the European Union's General Data Protection Regulation (GDPR) (https://gdpr-info.eu). iCyst did not collect sensitive data about patients. In the “add new patients” section, the user can simulate several clinical cases by entering age, sex and all the clinical and radiological features covered in the guidelines for PCN management. Each case entered is assigned with a unique alphanumeric code to allow the user to retrieve the entered data. The information provided and the app utilization data were used to improve the iCyst user experience, to periodically update iCyst and to achieve the purpose of the project by improving evidence about the application and dissemination of guidelines on PCNs in clinical practice. iCyst was first developed in the English language. Further updates have also been made available in Russian, Romanian and Italian to increase its use among non-English-speaking users. To allow for data analysis, all inserted case simulations were eventually accrued into 6 discrete representative scenarios. One year after the release, iCyst app appeared on online stores more than 7000 times and was downloaded more than 1000 times. Most of the downloads were from Spain (258), Italy (212), Germany (106), the USA (68), and Russia (64) (Figure 3). iCyst download distribution A total of 1020 complete simulations were entered by 276 iCyst users (Table 1). The number of downloads increased consistently throughout the year. iCyst users were mostly European (88%) and were either surgeons (69%) or gastroenterologists (29%). Most of those who declared it were employed in teaching/academic institutions (66%). Overall, 52% of users selected the European guidelines, 21% selected the IAP, and 11% selected the AGA. By contrast, 16% selected the “none” option (Table 1). Table 2 shows the features of the case simulations. Overall, 59.6% of the simulated cases involved females with a median age of 66 (SD 12.6) years. Most simulated cases were fit for surgery (91.2%) and did not have relevant comorbidities (75.9%). Small asymptomatic presumed branch duct intraductal papillary mucinous neoplasm (BD-IPMN). Asymptomatic presumed BD-IPMN larger than 2 cm. Presumed IPMN with main pancreatic duct (MPD) 5–9.9 mm. Presumed IPMN with worrisome features (WF) in younger patients (<60 years). Presumed IPMN with WF in older patients (>60 years). Presumed IPMN with high-risk stigmata. Of the 1020 total scenarios, users selected a guideline in 557 cases (55%); in 106 cases (10%), they selected “none” of the guidelines, and they did not respond in 357 cases (35%). After excluding the missing answers and comparing simulations in which the users selected any of the guidelines' recommendations with those in which “none” was selected, the users tended to choose any of the guidelines if the case simulation referred to a patient fit for surgery or without a cyst growth rate >5 mm (Table 3). We endeavored to investigate which specific guidelines were followed for the management of PCNs through a simulation-based model built in a digital app. Although we found that most users of the iCyst app followed the European Evidence-based Guidelines, some gray areas exist, specifically in situations involving a patient who is deemed unfit for surgery or when a cyst grows rapidly during surveillance. This snapshot study aimed to capture the actual application of guideline policies in “real world” case scenarios.6 In the first scenario considering a presumed small BD-IPMN (<1 cm) without specific symptoms, 17.3% of users disagreed with a conservative recommendation and likely supported a more aggressive approach. Since a more aggressive policy in such benign-looking lesions is not supported at all by the available evidence, these data suggest that further guideline dissemination is urgently required to avoid disparities in the treatment of presumably benign PCN.7 Likewise, in the presence of a BD-IPMN with a larger diameter (>2 cm) and no associated symptoms, most of the users followed the European guidelines whereas 19% chose none of the guidelines' recommendations. This is again a surrogate metric of a lack of trust in the available policies and the need to increase the evidence in this specific matter. Consequently, not following such conservative policies can be harmful in asymptomatic individuals who can be candidates for long-term follow-up.8-10 Further implementation of guideline awareness is urgently needed as a relevant number of iCyst users did not follow any of the available guidelines on several specific conditions. These findings could serve as the basis for future research lines, in which the level of evidence should be elevated to eventually provide reliable recommendations in future guideline updates. The authors have no conflicts of interest to declare. Not applicable.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.328
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes1
Has abstractyes

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