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Intra-subject Variability in High Resolution Anorectal Manometry Using the London Classification: Diagnostic and Therapeutic Implications.

George TriadafilopoulosJohn O ClarkeAfrin KamalLeila Neshatian
Published in: Digestive diseases and sciences (2022)
This retrospective pilot study conducted on a community-based cohort of both men and women of various ages and underlying clinical presentations examined the durability and reproducibility of HR-ARM findings influencing their potential impact on clinical decision-making at the point of care (Jameson et al. in Br J Surg 81:1689-1692, 1994). The key finding of our study was that only a minority of patients who underwent repeat anorectal manometry as analyzed by the London Classification had stable manometric findings, raising questions regarding the validity of a single manometric measurement, as currently analyzed, for clinical decision-making.
Keyphrases
  • decision making
  • high resolution
  • end stage renal disease
  • machine learning
  • deep learning
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • prognostic factors
  • risk assessment