Breakthrough Cancer Pain Clinical Features and Differential Opioids Response: A Machine Learning Approach in Patients With Cancer From the IOPS-MS Study | Zendy

Francesco Pantano | Zendy; Paolo Manca | Zendy; Grazia Armento | Zendy; Tea Zeppola | Zendy; Angelo Onorato | Zendy; Michele Iuliani | Zendy; Sonia Simonetti | Zendy; Bruno Vincenzi | Zendy; Daniele Santini | Zendy; Sebastiano Mercadante | Zendy; Paolo Marchetti | Zendy; Arturo Cuomo | Zendy; Augusto Caraceni | Zendy; Rocco Domenico Mediati | Zendy; Renato Vellucci | Zendy; Massimo Mammucari | Zendy; Silvia Natoli | Zendy; Marzia Lazzari | Zendy; Mario Dauri | Zendy; Claudio Adile | Zendy; Mario Airoldi | Zendy; Giuseppe Azzarello | Zendy; Livio Blasi | Zendy; Bruno Chiurazzi | Zendy; Daniela Degiovanni | Zendy; Flavio Fusco | Zendy; Vittorio Guardamagna | Zendy; Simeone Liguori | Zendy; Loredana Palermo | Zendy; Sergio Mameli | Zendy; Francesco Masedu | Zendy; Teresita Mazzei | Zendy; Rita Maria Melotti | Zendy; Valentino Menardo | Zendy; Danilo Miotti | Zendy; S. Moroso | Zendy; Gaetano Pascoletti | Zendy; Stefano De Santis | Zendy; Remo Orsetti | Zendy; Alfonso Papa | Zendy; Sergio Ricci | Zendy; E. Scelzi | Zendy; Michele Sofia | Zendy; Federica Aielli | Zendy; Alessandro Valle | Zendy; Giuseppe Tonini | Zendy

Open Access

Breakthrough Cancer Pain Clinical Features and Differential Opioids Response: A Machine Learning Approach in Patients With Cancer From the IOPS-MS Study

Author(s) -

Francesco Pantano,

Paolo Manca,

Grazia Armento,

Tea Zeppola,

Angelo Onorato,

Michele Iuliani,

Sonia Simonetti,

Bruno Vincenzi,

Daniele Santini,

Sebastiano Mercadante,

Paolo Marchetti,

Arturo Cuomo,

Augusto Caraceni,

Rocco Domenico Mediati,

Renato Vellucci,

Massimo Mammucari,

Silvia Natoli,

Marzia Lazzari,

Mario Dauri,

Claudio Adile,

Mario Airoldi,

Giuseppe Azzarello,

Livio Blasi,

Bruno Chiurazzi,

Daniela Degiovanni,

Flavio Fusco,

Vittorio Guardamagna,

Simeone Liguori,

Loredana Palermo,

Sergio Mameli,

Francesco Masedu,

Teresita Mazzei,

Rita Maria Melotti,

Valentino Menardo,

Danilo Miotti,

S. Moroso,

Gaetano Pascoletti,

Stefano De Santis,

Remo Orsetti,

Alfonso Papa,

Sergio Ricci,

E. Scelzi,

Michele Sofia,

Federica Aielli,

Alessandro Valle,

Giuseppe Tonini

Publication year - 2020

Publication title -

jco precision oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.405

H-Index - 22

ISSN - 2473-4284

DOI - 10.1200/po.20.00158

Subject(s) - cancer pain , opioid , medicine , logistic regression , cancer , machine learning , computer science , receptor

A large proportion of patients with cancer suffer from breakthrough cancer pain (BTcP). Several unmet clinical needs concerning BTcP treatment, such as optimal opioid dosages, are being investigated. In this analysis the hypothesis, we explore with an unsupervised learning algorithm whether distinct subtypes of BTcP exist and whether they can provide new insights into clinical practice.

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