2021
DOI: 10.1002/oby.23183
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Patient‐provider discussions of bariatric surgery and subsequent weight changes and receipt of bariatric surgery

Abstract: Research suggests that patient-provider discussions have a significant impact on patient decisions to undergo procedures (1,2). Therefore, counseling the patient about bariatric surgery as a treatment option in outpatient settings is expected to be a crucial step in a patient's decision to undergo the procedure (3,4), and survey studies have found that patients are more likely to undergo bariatric surgery when it is recommended by their health care provider (5). However, little is known about how often provide… Show more

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Cited by 4 publications
(6 citation statements)
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“…While Tables 2 and 3 provide overall summarization of the results, we present a comparison of point estimates derived from the original data and synthetic data simulations using boxplots ( Figures 2 , 3A and 3B , and 4 ), allowing us to inspect the impact of NLP errors on the point estimation for each coefficient. Figure 2 provides the comparison of point estimates of hazard ratios for the relationship with time to HbA1c <7.0% in the simulations of possible NLP errors vs the original study in Turchin et al 14 Figure 3A provides the comparison of point estimates of regression coefficients for the relationship with BMI change in the simulations of possible NLP errors vs the original study in Chang et al 15 Figure 4 provides the comparison of point estimates of hazard ratios for the relationship with time to LDL <100 mg/dL in the simulations of possible NLP errors vs the original study in Brown et al 16 The variability of the point estimates obtained from the 500 synthetic data simulations is represented by the range of the boxplots. Discrepancies can be observed by comparing these results to the red line, which represents the estimates from the original data.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…While Tables 2 and 3 provide overall summarization of the results, we present a comparison of point estimates derived from the original data and synthetic data simulations using boxplots ( Figures 2 , 3A and 3B , and 4 ), allowing us to inspect the impact of NLP errors on the point estimation for each coefficient. Figure 2 provides the comparison of point estimates of hazard ratios for the relationship with time to HbA1c <7.0% in the simulations of possible NLP errors vs the original study in Turchin et al 14 Figure 3A provides the comparison of point estimates of regression coefficients for the relationship with BMI change in the simulations of possible NLP errors vs the original study in Chang et al 15 Figure 4 provides the comparison of point estimates of hazard ratios for the relationship with time to LDL <100 mg/dL in the simulations of possible NLP errors vs the original study in Brown et al 16 The variability of the point estimates obtained from the 500 synthetic data simulations is represented by the range of the boxplots. Discrepancies can be observed by comparing these results to the red line, which represents the estimates from the original data.…”
Section: Resultsmentioning
confidence: 99%
“…The present study used data from three previous studies: Turchin et al 14 , Chang et al 15 , and Brown et al 16 ( Table 1 ). Turchin et al 14 investigated the association between non-acceptance (decline) of insulin therapy recommendation by patients and time to glycemic control (defined as HbA1c <7.0%).…”
Section: Methodsmentioning
confidence: 99%
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“…It is thought that overweight and obesity play a significant role in the lag of life expectancy in the U.S. compared to many other developed countries. 35 Nevertheless, this major health problem is often not addressed by treating clinicians 36 and potential treatments are not being discussed with patients, 37 reflecting possibly a mix of social stigma and therapeutic inertia.…”
Section: Discussionmentioning
confidence: 99%