Introduction: New techniques require "new" surgeons who are able to apply them safely. The bushfire-like employment of laparoscopic cholecystectomy confronted a community of surgeons totally inexperienced in that technique. Thus, the collective learning curve was paralleled by a temporary increase of postoperative complications. The aim of the following study was to analyze the learning curve for laparoscopic herniorrhaphy with regard to the complication rates during that period.
Methods: A total of 76,499 questionnaires from the external quality assurance of the Westfalia-Lippe physicians board registered between 1993 and 1997 were analyzed retrospectively. The parameters (duration of the operation and hospitalization, ASA classification, rate of obese patients, intra- and postoperative complications) were analyzed and plotted as a synchronized learning curve of the whole group of surgeons.
Results: As for laparoscopic cholecystectomy, a learning curve was found for laparoscopic herniorrhaphy, which could be attributed to a decreasing duration of the procedures and increasing ASA classification and rate of morbid obese patients while complication rates were kept constantly low. After 9 months of application laparoscopic hernia repair seemed to have been introduced to a new collective of surgeons while learning parameters showed inverse trends for a short period of time. The complication rate of laparoscopic hernia repair was constantly lower than in routine open inguinal hernia repair.
Conclusion: Since laparoscopic inguinal hernia repair is a demanding method, surgeons apparently did not forget the lessons learned from the introduction of laparoscopic cholecystectomy as they were able to avoid increasing intra- and postoperative complication rates during their learning curve. Surgeons are learning to learn.
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http://dx.doi.org/10.1007/s00104-003-0612-z | DOI Listing |
JACC Asia
January 2025
Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: Heart failure should be diagnosed as early as possible. Although deep learning models can predict one or more echocardiographic findings from electrocardiograms (ECGs), such analyses are not comprehensive.
Objectives: This study aimed to develop a deep learning model for comprehensive prediction of echocardiographic findings from ECGs.
BMJ Oncol
July 2024
National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Objective: To develop and validate machine-learning models that predict the risk of pan-cancer incidence using demographic, questionnaire and routine health check-up data in a large Asian population.
Methods And Analysis: This study is a prospective cohort study including 433 549 participants from the prospective MJ cohort including a male cohort (n=208 599) and a female cohort (n=224 950).
Results: During an 8-year median follow-up, 5143 cancers occurred in males and 4764 in females.
BMJ Oncol
February 2024
Translational Radiobiology, Department of Radiation Oncology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Objective: Fast progression (FP) represents a desperate situation for advanced non-small cell lung cancer (NSCLC) patients undergoing immune checkpoint inhibitor therapy. We aimed to develop a predictive framework based on machine learning (ML) methods to identify FP in advanced NSCLC patients using blood test biomarkers.
Methods And Analysis: We extracted data of 1546 atezolizumab-treated patients from four multicentre clinical trials.
Front Digit Health
January 2025
Department of Demography & Social Statistics, Federal University, Birnin-Kebbi, Kebbi State, Nigeria.
Background: Fertility preferences refer to the number of children an individual would like to have, regardless of any obstacles that may stand in the way of fulfilling their aspirations. Despite the creation and application of numerous interventions, the overall fertility rate in West African nations, particularly Nigeria, is still high at 5.3% according to 2018 Nigeria Demographic and Health Survey data.
View Article and Find Full Text PDFBMJ Oncol
January 2025
Department of Immunotherapeutics and Biotechnology, Texas Tech University Health Sciences Center, Jerry H Hodge School of Pharmacy, Abilene, Texas, USA.
In 2025, it will be 30 years since the initial clinical approval of pegylated liposomal doxorubicin (PLD) by the Food and Drug Administration. PLD predated the field of nanomedicine and became a model nanomedicine setting key pharmacological principles (prolonged circulation, slow drug release and the enhanced permeability and retention (EPR) effect) for clinical application of other nano-drugs in cancer therapy. The impressive reduction of cardiotoxicity conferred by PLD is the most valuable clinical asset.
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