Evidence map›Paper›PMID 39103959›Full record

ArticleJournal of anesthesia, analgesia and critical care2024

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

Alessandro Vittori, Marco Cascella, Piergiacomo Di Gennaro, Giuliano Marchetti, Elisa Francia, Ilaria Mascilini, Riccardo Tarquini, Massimo Antonio Innamorato, Emiliano Petrucci, Franco Marinangeli and 2 more

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In one paragraph

Article in Journal of anesthesia, analgesia and critical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Alessandro Vittori *Department of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy.
Marco Cascella *Department of Medicine, Surgery, and Dentistry, Unit of Anesthesiology, Intensive Care Medicine, and Pain Medicine, University of Salerno, Baronissi, 84081, Salerno, Italy. mcascella@unisa.it.
Piergiacomo Di GennaroEpidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.
Giuliano MarchettiSurgery Unit, Bios Medical Center, 00197, Rome, Italy.
Elisa FranciaDepartment of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy.
Ilaria MasciliniDepartment of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy.
Riccardo TarquiniDepartment of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy.
Massimo Antonio InnamoratoPain Unit, Department of Neuroscience, Santa Maria Delle Croci Hospital, AUSL Romagna, 48121, Ravenna, Italy.
Emiliano PetrucciDepartment of Anesthesia and Intensive Care Unit, San Salvatore Academic Hospital of L'Aquila, 67100, L'Aquila, Coppito, Italy.
Franco MarinangeliDepartment of Anesthesiology, Intensive Care and Pain Treatment, University of L'Aquila, 67100, L'Aquila, Coppito, Italy.
Sergio Coluccia *Epidemiology and Biostatistics Unit, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, 80100, Naples, Italy.
Sergio Giuseppe Picardo *Department of Anesthesia and Critical Care, ARCO ROMA, Ospedale Pediatrico Bambino Gesù IRCCS, 00165, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThoracotomy is one of the surgical procedures most burdened by chronic post-operative pain. There is poor evidence regarding the possibility that even in pediatric patients, thoracotomy can be followed by post-operative pain. The primary objective of this analysis is to identify associations with home pain therapy, pain intensity, and possible protective factors acting on chronic pain in this population.

methodsA retrospective cross-sectional study was conducted at Ospedale Pediatrico Bambino Gesù IRCCS. The study included pediatric patients undergoing thoracotomy. For statistical analyses, a logistic model and a zero-inflated strategy were implemented to explore associations and predict factors related to home-based analgesic therapy and pain intensity.

resultsGender and age were identified as significant factors in the assignment of home therapy, with males having over seven times the risk compared to females (OR = 7.06, 95% CI = [2.11, 29.7]). At the last measurement, pain intensity was positively associated with age and the number of pain events during the week.

conclusionsThe 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.

Indexed as

Acute painAnesthesiaChildrenChronic painOpioidPainPain managementPediatric painPerioperative painThoracotomy

Identifiers

PMID39103959
PMCPMC11299347

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