Advanced statistical approaches for predicting pain after pediatric thoracotomy: a cross-sectional study using zero-inflated and Poisson models

The study highlights significant factors influencing post-thoracotomy pain management in pediatric patients. These findings underscore the importance of tailored pain management strategies that consider gender and age to improve post-operative care and outcomes in pediatric thoracotomy patients.

Authors

Institutions

Publication Details

Journal
Journal of Anesthesia Analgesia and Critical Care
Published
2024-08-05
DOI
https://doi.org/10.1186/s44158-024-00188-w
Citations
2
Primary Topic
Anesthesia and Pain Management
Type
article
Field-Weighted Citation Impact
1.15

Funders

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article

Advanced statistical approaches for predicting pain after pediatric thoracotomy: a cross-sectional study using zero-inflated and Poisson models

Giuliano Marchetti, Massimo Antonio Innamorato, Sergio Picardo, Marco Cascella et al.
2 citations
Journal of Anesthesia Analgesia and Critical Care
Anesthesia and Pain Management
1.15
article

Advanced statistical approaches for predicting pain after pediatric thoracotomy: a cross-sectional study using zero-inflated and Poisson models

Giuliano Marchetti, Massimo Antonio Innamorato, Sergio Picardo, Marco Cascella, Elisa Francia, Emiliano Petrucci, Piergiacomo Di Gennaro, Franco Marinangeli, Alessandro Vittori, Sergio Coluccia, Ilaria Mascilini, Riccardo Tarquini
article en
2 citations

Abstract

The study highlights significant factors influencing post-thoracotomy pain management in pediatric patients. These findings underscore the importance of tailored pain management strategies that consider gender and age to improve post-operative care and outcomes in pediatric thoracotomy patients.

Journal of Anesthesia Analgesia and Critical CareVol. 4(1)
University of Salerno (IT), Università Campus Bio-Medico (IT), University of L'Aquila (IT), Ospedale "Santa Maria delle Croci" di Ravenna (IT), San Salvatore Hospital (IT), Bambino Gesù Children's Hospital (IT), Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Ministero della Salute
No poverty
Openalex Percentile: Top 21%
Anesthesia and Pain Management
1.15
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Advanced statistical approaches for predicting pain after pediatric thoracotomy: a cross-sectional study using zero-inflated and Poisson models — Giuliano Marchetti, Massimo Antonio Innamorato, et al. · Journal of Anesthesia Analgesia and Critical Care (2024) | TGRS Research Map | TGRS