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Enregistrement W4211212008 · doi:10.1002/ueg2.12209

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

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

Notice bibliographique

RevueUnited European Gastroenterology Journal · 2022
Typearticle
Langueen
DomaineMedicine
ThématiquePancreatic and Hepatic Oncology Research
Établissements canadiensPancreas Centre (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineClinical PracticeBest practiceHealth careFamily medicineManagementPolitical science

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,436

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,058
Tête enseignante GPT0,328
Écart entre enseignants0,270 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2022
Routes d'admission1
Résumé présentoui

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