Publications by authors named "P A Bonis"

Study Design: Heterogeneous data collection via a mix of prospective, retrospective, and ambispective methods.

Objective: To evaluate the effect of biological sex on patient-reported outcomes after spinal fusion surgery for lumbar degenerative disease.

Summary Of Background Data: Current literature suggests sex differences regarding clinical outcome after spine surgery may exist.

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Background: A 6-food elimination diet in pediatric eosinophilic esophagitis (EoE) is difficult to implement and may negatively affect quality of life (QoL). Less restrictive elimination diets may balance QoL and efficacy.

Objective: We performed a multisite, randomized comparative efficacy trial of a 1-food (milk) elimination diet (1FED) versus 4-food (milk, egg, wheat, soy) elimination diet (4FED) in pediatric EoE.

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Background: Midline Tremor is defined as an isolated or combined tremor that affects the neck, trunk, jaw, tongue, and/or voice and could be part of Essential Tremor (ET), or dystonic tremor. The clinical efficacy of deep brain stimulation for Midline Tremor has been rarely reported. The Ventral Intermediate Nucleus and Globus Pallidus Internus are the preferred targets, but with variable outcomes.

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Introduction: Surgical approaches for tumors of the orbital apex and the spheno-orbital region (SOR) comprehend medial and lateral corridors. The TransOrbital NeuroEndoscopic (TONE) approach has recently been reported as a possible effective alternative to the classic lateral corridors, but literature about is still underestimated.

Research Question: The aim of this study was to make a critical appraisal of the results of using the lateral TONE approach in a monocentric consecutive series of SOR tumors.

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Background: Clinical prediction models (CPM), such as the SCOAP-CERTAIN tool, can be utilized to enhance decision-making for lumbar spinal fusion surgery by providing quantitative estimates of outcomes, aiding surgeons in assessing potential benefits and risks for each individual patient. External validation is crucial in CPM to assess generalizability beyond the initial dataset. This ensures performance in diverse populations, reliability and real-world applicability of the results.

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