| Literature DB >> 25861520 |
Jun-Seok Moon1, Man Sik Park2, Jong-Han Kim1, You-Jin Jang1, Sung-Soo Park1, Young-Jae Mok1, Seung-Joo Kim1, Chong-Suk Kim1, Seong-Heum Park1.
Abstract
PURPOSE: Before expanding our indications for laparoscopic gastrectomy to advanced gastric cancer and adopting reduced port laparoscopic gastrectomy, we analyzed and audited the outcomes of laparoscopy-assisted distal gastrectomy (LADG) for adenocarcinoma; this was done during the adoptive period at our institution through the comparative analysis of short-term surgical outcomes and learning curves (LCs) of two surgeons with different careers.Entities:
Keywords: Gastrectomy; Laparoscopy; Learning curve; Treatment outcome
Year: 2015 PMID: 25861520 PMCID: PMC4389094 DOI: 10.5230/jgc.2015.15.1.29
Source DB: PubMed Journal: J Gastric Cancer ISSN: 1598-1320 Impact factor: 3.720
Fig. 1Four-phase regression model of the learning curves shown in Equation (2) of Materials and Method section. C1, C2, and C3 are cut-off values dividing the learning curves into four phases; β0 denotes the intercept; β1, β2, β3, and β4 denote the partial changes of slope compared to the previous phases.
Comparative analysis of patient demographics and tumor characteristics between patient groups by surgeons
Values are presented as number (%) or mean±standard deviation. BMI = body mass index; ASA = American Society of Anesthesiologists. *The stage was based on the 7th edition of the American Joint Committee on Cancer staging system.
Comparative analysis of operative and surgical outcome data by surgeons
Values are presented as median (interquatile range) or number (%). GD/GJ = gastroduodenostomy/gastrojejunostomy; LN = lymph node; LADG = laparoscopy-assisted distal gastrectomy.
List of complications of laparoscopy-assisted distal gastrectomy
Values are presented as number (%) or number only. Total numbers of intraoperative and postoperative complications exceeded sums of the individual complications because some patients had more than one complications.
Results of statistical analyses of sequential operative times fitted by the non-linear least squares estimation method, based on a nonlinear regression model without adjustment for confounding factors
All the statistics were derived from the non-linear regression (phase-wise linear regression) analysis based on Equation (1) shown in the Materials and Methods section. B0, B1, B2, B3, and B4 stand for the regression parameter estimates; C1, C2, and C3 stand for the structural changing time points. R2: the coefficient of determination (Surgeon A's R2=0.395, Surgeon B's R2=0.402).
Results of statistical analyses of sequential operative times fitted by the non-linear least squares estimation method based on a nonlinear regression model after adjustment for confounding factors
All the statistics were derived from the non-linear regression (phase-wise linear regression) analysis based on Equation (1) shown in the Materials and Methods section. B0, B1, B2, B3, and B4 stand for the regression parameter estimates; C1, C2, and C3 stand for the structural changing time points. R2: the coefficient of determination (Surgeon A's R2=0.460, Surgeon B's R2=0.506).
Fig. 2The phase-wise learning-curve models fitted by non-linear least squares method. The learning curve of the surgeon A had 3 phases (A), while that of the surgeon B had 4 phases (B).
Comparative analysis of operative and surgical outcome data among the learning curve phases by surgeons
Values are presented as median (interquatile range) or number (%). LN = lymph node; LADG = laparoscopy-assisted distal gastrectomy; LND = lymph node dissection. *Each phase was identified by individual learning curve analysis.