Publications by authors named "H Sunada"

Introduction: Antimicrobial treatment disrupts human microbiota. The effects of lascufloxacin (LSFX), a new fluoroquinolone, on human microbiota remains unknown. Therefore, in this study, we aimed to evaluate the effects of LSFX administration on the gut and salivary microbiota of healthy participants and those with pneumonia.

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Article Synopsis
  • The study investigates the relationship between age, ovarian endometrioma size, and pain levels in women with endometriosis, finding that age affects pain scores but cyst size does not.
  • Based on data from 491 patients across six clinical trials, the study reported average scores for dysmenorrhea, menstrual pain, and pelvic pain, with pelvic pain decreasing as age increased.
  • Limitations include a lack of data on participants' previous treatments and the challenge of accurately assessing pain due to psychological factors.
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Background: To investigate the impact of different urinary diversion (UD) techniques on the peri- and postoperative complications of robot-assisted radical cystectomy (RARC) with ileal conduit.

Methods: We retrospectively analyzed 373 patients undergoing RARC with ileal conduit at 11 institutions in Japan between April 2018 and December 2021. Propensity score weighting was performed to adjust for confounding factors such as age, sex, body mass index, performance status, American Society of Anesthesiologists score, previous abdominal surgery, neoadjuvant chemotherapy, and preoperative high T stage (≥ cT3) and high N stage (≥ cN1).

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Objective: The employment outcomes of childhood-onset drug-resistant epilepsy (DRE) has not been studied enough. The aim of this retrospective cohort study is to investigate the employment outcomes of childhood-onset DRE in June 2022 and identify the risk factors associated with non-employment.

Materials And Methods: The sample consisted of 65 participants ≥18 years of age with a history of childhood-onset DRE.

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Introduction: Children with infantile epileptic spasms syndrome (IESS) are likely to experience poor outcomes. Researchers have investigated the factors related to its long-term prognosis; however, none of them developed a predictive model.

Objective: This study aimed to clarify the factors that influence the long-term prognosis of seizures and their development and to create a prediction model for IESS.

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