2017
DOI: 10.1016/j.gie.2016.06.049
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Long-term prognosis of expanded-indication differentiated-type early gastric cancer treated with endoscopic submucosal dissection or surgery using propensity score analysis

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Cited by 92 publications
(79 citation statements)
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“…Categorical variables are presented as a mean ± standard deviation (SD) and were evaluated using the Chi-squared or the Fisher exact test, and continuous variables are presented as the median plus interquartile range (IQR) using unpaired t tests. A propensity score matching analysis was performed to reduce the effects of selection bias and potential confounding factors between each group by mathematically refashioning an observational study into a randomized study [18][19][20][21][22]. A propensity score-matched cohort was created by matching ASA-PS 1/2 and ASA-PS 3 patients (a 1:1 match) by using a greedy matching technique.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Categorical variables are presented as a mean ± standard deviation (SD) and were evaluated using the Chi-squared or the Fisher exact test, and continuous variables are presented as the median plus interquartile range (IQR) using unpaired t tests. A propensity score matching analysis was performed to reduce the effects of selection bias and potential confounding factors between each group by mathematically refashioning an observational study into a randomized study [18][19][20][21][22]. A propensity score-matched cohort was created by matching ASA-PS 1/2 and ASA-PS 3 patients (a 1:1 match) by using a greedy matching technique.…”
Section: Discussionmentioning
confidence: 99%
“…Absolute standardized differences (ASD) were calculated for evaluating the matching effectiveness. Additionally, the inverse probability of treatment weighting (IPTW) method was performed to evaluate the sensitivity of the results by estimating propensity scores used to weigh individual observations [22][23][24]. The IPTW method, which is one of the approaches used to adjust the confounding factor, has the advantage of evaluating causal effects without reducing sample size.…”
Section: Discussionmentioning
confidence: 99%
“…Third, after the cut-off value had been determined, we evaluated the incidence of stricture formation using the IPTW method with propensity scoring. 21,22,24,25 Selection bias can persist in retrospective studies, because the relationship between stricture formation and the circumferential mucosal defect may be affected by confounding factors, including age, gender, and clinical characteristics. 23 An IPTW method based on propensity scoring, which can be used without reducing the sample size, was used to assess the sensitivity of the results and to evaluate statistically causal effects that were independent of the confounding effects.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the inverse probability of treatment weighting (IPTW) method based on propensity scoring was used. [21][22][23][24][25] We adjusted for confounding factors by using the estimated propensity scores to assign weights to the data. Analyses involving IPTW linear regressions for stricture formation were carried out.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Surgical resection, especially esophagectomy, has a high mortality rate that often exceeds 2%, with substantial morbidity and no guarantee of curing metastasis [28]. In addition, Fukunaga et al [29] suggested that with or without comorbidities, the difference of surgical technique contributed to long-term survival in patients treated with surgical resection for early gastric cancer. Furthermore, more invasive surgery results in a poorer quality of life, which may influence mortality.…”
Section: Other Treatmentmentioning
confidence: 99%