Cohort study evaluating predictors of therapeutic success after sleeve gastrectomy or Roux-en-Y gastric bypass
Original Article

Cohort study evaluating predictors of therapeutic success after sleeve gastrectomy or Roux-en-Y gastric bypass

Josephine Grandt1,2#, Johannes Chang1#, Andreas Türler3, Christian Jansen1, Robert Schierwagen4, Tatjana Schröder3, Michael Praktiknjo1, Christian P. Strassburg1, Ulrich Spengler1, Jonel Trebicka1,4,5,6,7*, Lise Lotte Gluud2*

1Department of Internal Medicine I, University of Bonn, Bonn, Germany; 2Gastrounit, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; 3Department of Surgery, Johanniter Hospital, Bonn, Germany; 4Department of Internal Medicine I, Goethe University Clinic Frankfurt, Frankfurt, Germany; 5European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain; 6Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; 7European Institute of Bioengineering Catalonia, Barcelona, Spain

Contributions: (I) Conception and design: J Trebicka, LL Gluud, A Türler, CP Strassburg, U Spengler; (II) Administrative support: J Chang, J Trebicka, LL Gluud; (III) Provision of study materials or patients: A Türler, T Schröder, CP Strassburg, U Spengler; (IV) Collection and assembly of data: J Grandt, J Chang, T Schröder, C Jansen, R Schierwagen, M Praktiknjo; (V) Data analysis and interpretation: J Grandt, J Chang, C Jansen, M Praktiknjo, LL Gluud, J Trebicka; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

*These authors contributed equally to this work.

Correspondence to: Josephine Grandt. Gastro Unit, Hvidovre Hospital, Kettegaard Alle 30, 2650 Hvidovre, Denmark. Email: Juliana.Josephine.Vivian.Grandt@regionh.dk.

Background: Bariatric surgery is an effective treatment for several patients, but some may not achieve sufficient weight loss. We therefore evaluated predictors of adequate weight loss defined as ≥50% excess weight loss (EWL).

Methods: Retrospective cohort study including patients who underwent sleeve gastrectomy (SG) or Roux-Y-gastric bypass (RYGB) followed for 12 months.

Results: A total of 170 patients [81.2% female, age 42 years, 19.4% type 2 diabetes (T2D), body mass index (BMI) 49.4 kg/m2] were included. Type of surgery was SG (71.2%) or RYGB (28.8%). After surgery, the median BMI decreased to 34.9 (30.0–40.5) kg/m2. The median %EWL was 57.7 (41.6–69.7). Pre-operative weight loss was not associated with %EWL (P=0.25). Patients who achieved therapeutic success had a lower baseline median BMI of 48.0 (IQR, 42.9–51.6) kg/m2 whereas those who did not had a median BMI of 52.0 (IQR, 48.0–58.5) kg/m2 and the baseline BMI was correlated with the %EWL (P<0.001). Gender, age, and surgical method did not predict therapeutic success. The baseline BMI and T2D were the only predictors in logistic regression analysis.

Conclusions: A lower baseline BMI and absence of T2D predicted therapeutic success and %EWL. RYGB and SG performed equally well, but the proportion of patients with T2D was higher in RYBG what may have influenced the outcome. Additional research is needed to evaluate the findings.

Keywords: Bariatric surgery; weight loss; obesity; liver enzymes


Received: 15 January 2021; Accepted: 22 June 2021; Published: 20 January 2022.

doi: 10.21037/ales-21-2


Introduction

Obesity and associated comorbidities including diabetes, cardiovascular disease, and non-alcoholic steatohepatitis are a growing global problem (1). According to the World Health Organization, 650 million people suffer from obesity and each year, at least 4 million people worldwide die prematurely due to the consequences of overweight or obesity (2). Obesity is not only associated with adverse outcomes for patients, but also imposes an enormous economic burden on the health care system (3). In Germany alone, the annual direct cost of obesity for the health care system is about 29.39 billion euro (4). For people with morbid obesity (BMI >40 kg/m2), the impaired mobility reduces chances to lose any excess weight and the chances of achieving and maintaining a sufficient weight loss with lifestyle changes. In fact, many experience an increase in weight over time (5). At present, bariatric surgery is the most effective treatment for morbid obesity (6). Surgery also has beneficial effects on diabetes and other manifestations of the metabolic syndrome (7). Bariatric surgery is a safe procedure and the risk of serious complications is comparable to elective cholecystectomy (8). The two predominant types of procedures performed are the laparoscopic Roux-Y-gastric bypass (RYGB) and sleeve gastrectomy (SG) (9). Adequate weight loss also known as therapeutic success is generally defined as ≥50% excess weight loss (EWL) within the first postoperative year (10,11). Several factors including age, gender, and comorbidities are potential predictors of weight loss, but previous evidence is equivocal (12,13). A more profound knowledge on the characteristics of patients that will sufficiently profit from bariatric surgery is of great importance to not just select patient groups for bariatric surgery, but also to estimate the timepoint when patients profit best from the intervention. This can especially be important in countries where insurance companies grant coverage for bariatric surgery. Furthermore, some patients do not profit form bariatric surgery alone. In these patients, further interventions as intensified nutritional counselling or psychological support may further improve their outcome. It is of major clinical importance to identify these patients as early as possible to improve their outcome Therefore, the primary objective of this study was to evaluate predictors of therapeutic success after bariatric surgery based on a retrospective cohort from a university hospital in Germany. Secondary objective was to compare the outcomes of RYGB and SG. We present the following article in accordance with the STROBE reporting checklist (available at https://ales.amegroups.com/article/view/10.21037/ales-21-2/rc).


Methods

This retrospective cohort study includes data from all patients who were evaluated for bariatric surgery at a university hospital in Germany (University Hospital Bonn) from May 2008 to December 2014 and underwent bariatric surgery at a certified bariatric surgery centre in Bonn (Johanniter Hospital Bonn). The bariatric program at the university hospital Bonn included preoperative counselling and dietary intervention, and postoperative follow-up visits. The cohort consisted of adults who were considered eligible for bariatric surgery with a BMI >35 kg/m2 and at least one obesity-associated comorbidity or a BMI >40 kg/m2. All patients participated in preoperative dietary and counselling groups for 6 months to 1 year before surgery. Patients were encouraged to participate in regular follow-up visits with a dietician within the bariatric surgery program after surgery. At baseline, we collected information about age, gender, anthropometrics, smoking, alcohol intake, use of metformin and insulin, and comorbidities including type 2 diabetes (T2D), ischemic heart disease, sleep apnoea and arthrosis. We also recorded standard laboratory values. Follow-up data collected 1, 6 and 12 months after surgery included anthropometrics and standard laboratory values. All data was collected retrospectively from electronic patient records. The patients consented to all interventions and the local Ethics Committee of the Medical Faculty of the University of Bonn approved of the study (072/18). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).

Statistical analyses

The statistical analyses were performed with STATA version 15 for windows (STATA Corp, Texas, USA). Due to the distribution of data, participant characteristics are summarised using medians with interquartile-ranges (IQR) or %. We used Chi-square or the Mann-Whitney test for unpaired comparisons and Spearman’s test to evaluate correlation between weight loss (%EWL) and metabolic variables (liver enzymes, lipids and glucose). All patients were included in the analyses.

Logistic regression analysis was used to evaluate predictors of treatment success with results expressed as odds ratios (95% confidence intervals). The analysis was undertaken after ensuring that 5 assumptions were met including an assessment of collinearity. Due to the relatively small sample size, the multivariable model only included five predictors selected based on their clinical relevance (age, baseline BMI, gender, T2D and type of surgery). P values <0.05 were considered statistically significant.


Results

In total, 644 patients were referred to our department and evaluated for bariatric surgery during the study period. We included all 170 patients who were considered eligible and underwent surgery. The median age was 42 years (IQR, 34–51 years) and the median BMI 49.4 kg/m2 (IQR, 44.3–54.5 kg/m2). Most patients were women (n=138; 81.2%). Forty-nine (28.8%) underwent RYGB and 121 (71.2%) underwent SG. In total, 33 (19.4%) had type 2 diabetes and were treated with metformin. Twelve of these patients (7.1%) were also treated with insulin.

A total of 72 patients (42.4%) were smokers, eight (4.7%) had ischemic heart disease, 43 (25.3%) had sleep apnoea, and 98 (57.7%) had arthrosis. Comparing the two surgical interventions at baseline, patients allocated to RYGB had a lower BMI than those allocated to SG (Table 1). Creatinine was higher in the RYGB compared to the SG group. In addition, 50% of patients in the RYGB group compared to 24% in the SG group had type 2 diabetes (P=0.0075). Accordingly, patients in the SG group had a lower fasting glucose and A1C (P=0.005). We found no other differences between the two groups at baseline (Table 1).

Table 1

Standard laboratory variables of included patients at baseline

RYGB (n=49) SG (n=121) Total (n=170) P
BMI 48.0 (42.9–52.2) 50.4 (44.7–56.1) 49.4 (44.3–54.4) 0.028
Age 42.0 (36.5–53.5) 42.0 (34.0–50.0) 42.0 (34.0–51.2) 0.529
Glucose 115.0 (98.5–158.5) 93.5 (82.0–109.7) 100.0 (83.0–124.0) <0.001
HbA1c 6.1 (5.9–7.2) 5.8 (5.55–6.25) 5.9 (5.6–6.5) 0.005
Creatinine 0.74 (0.64–0.81) 0.80 (0.72–0.9) 0.77 (0.71–0.88) 0.013
Urea 25.5 (23.0–35.5) 31.0 (27.0–39.0) 30.0 (25.0–38.0) 0.051
Bilirubin 0.37 (0.29–0.55) 0.51 (0.42–0.58) 0.46 (0.30–0.56) 0.262
Gamma-GT 42 (30–57) 40 (32–54) 40 (31–55) 0.573
ALT 26.5 (22.5–44.5) 28.5 (23–39.5) 28 (23–41.5) 0.909
AST 19 (15.5–25.5) 21 (15–27) 20 (15–26) 0.807
Triglycerides 172 (108–218) 155.5 (111–206.5) 160.5 (111–213) 0.386
Cholesterol* 196.5 (175–221) 194 (164–219) 194 (168–220) 0.493
HDL 44 (38–51) 44.5 (37–52) 44 (37–52) 0.922
LDL 1 (0–1) 1 (0–1) 1 (0–1) 0.878

*, total cholesterol. Characteristics are summarized using medians with IQR. The analyses compare patients allocated to RYGB or SG. IQR, interquartile range; RYGB, Roux-en-Y-gastric-bypass; SG, sleeve gastrectomy; BMI, body mass index; ALT, alanine aminotransferase; AST, aspartate aminotransferase; HDL, high density lipoprotein; LDL, low density lipoprotein.

The median time duration between the first consultation and bariatric surgery was 387 days (IQR, 315–509 days) and median weight loss during counselling prior to surgery was 0.45 kg (IQR, −4.0 to 6.1 kg).

No major complications occurred during or after surgery. The number of patients lost to follow up was none, 8 and 42 at 1, 6 and 12 months, respectively. In total, 128 patients (75.3%) were followed until the end of the study. Within 1 year, the median BMI decreased from 49.4 (44.3–54.4) to 34.9 (30.0–40.5) kg/m2 as did the %EWL (Figure 1). Metformin was discontinued in 21 (63.0%) of the 33 patients treated with metformin at baseline. Five of 12 (41.7%) patients discontinued both metformin and insulin treatment. Repeated measures ANOVA showed significant changes in weight as well as standard laboratory values (P<0.001 for all analyses). Weight loss was similar in the groups allocated to RYGB or SG. Moreover, weight loss (%EWL) was not statistically significant different in men and women (P=0.79). Pre-operative weight loss was not associated with later %EWL (rho =−0.109, P=0.25). In total, 86 patients (51.8%) achieved the primary outcome therapeutic success. Comparing the two intervention groups, twenty-six patients allocated to RYGB and 62 allocated to SG achieved therapeutic success (53.1% vs. 51.2%; P=0.830).

Figure 1 %EWL after 1, 6 and 12 months in RYGB and SG. EWL, excess weight loss; RYGB, Roux-Y-gastric bypass; SG, sleeve gastrectomy.

Fourteen men (43.8%) and 72 women (52.2%) achieved therapeutic success. The proportion of patients who achieved treatment success was lower among patients with diabetes compared to patients without diabetes (39.3% and 53.3%, P=0.009).

As shown in Table 2, the univariable logistic regression analysis showed that the type of surgery (RYGB or SG) was not associated with the odds of therapeutic success in univariable analysis (OR 0.93, 95% CI: 0.40–1.81; P=0.830). The %EWL and BMI were negatively correlated (rho =−0.469, P<0.001). Patients who achieved therapeutic success and those who did not achieve this endpoint had a baseline median BMI of 48.0 (IQR 42.9–51.6) and 52.0 (IQR, 48.0–58.5) kg/m2. The BMI at baseline and T2D were significant negative predictors of therapeutic success in univariable (OR 0.90, 95% CI: 0.86–0.94, P<0.001; and OR 0.32, 95% CI: 0.13–0.77, P=0.005) and multivariable analysis (OR 0.87, 95% CI: 0.82–0.93, P<0.001 and OR 0.21, 95% CI: 0.07–0.62).

Table 2

Univariable and multivariable logistic regression analyses (odds ratios with 95% confidence intervals) of variables associated with therapeutic success defined as % EWL of at least 50% after 12 months

Univariable regression analysis Multivariable regression analysis
Odds ratio (95% CI) P Odds ratio (95% CI) P
Age 0.98 (0.94–1.01) 0.40 0.97 (0.93–1.01) 0.124
Gender 1.27 (0.59–2.75) 0.54 0.96 (0.29–3.20) 0.945
Surgery (RYGB or SG) 0.93 (0.48–1.81) 0.83 0.84 (0.28–2.50 0.759
T2D 0.32 (0.13–0.77) 0.011 0.21 (0.07–0.62) 0.005
BMI 0.90 (0.86–0.94) <0.001 0.87 (0.82–0.93) <0.001

EWL, excess weight loss; BMI, body mass index; RYGB, Roux-en-Y-gastric-bypass; SG, sleeve gastrectomy; T2D, type 2 diabetes.

Regarding patients lost to follow up, no specific reason was giving in case of discontinuation of the bariatric program, and thus reasons for loss to follow up were unknown. 20 % of patients with SG were lost to follow up, while 34.7% of patients with RYGB were lost to follow up. The difference was not statistically significant (P=0.055). There was no statistically significant difference for gender, age, baseline BMI or T2D between patients lost do follow up and those who completed the study.


Discussion

In our study, we found that baseline BMI and T2D were independent predictors of therapeutic success (>50% EWL) after bariatric surgery. A lower BMI and absence of T2D but not age, gender, surgery method and weight loss prior to surgery predicted therapeutic success. The %EWL in our study was similar to the findings of previous studies (14). The findings provide information to support the debate about criteria for bariatric surgery as patients with a lower BMI have a greater chance of achieving the target weight loss. The association of higher BMI with lower %EWL has been documented both for SG and RYGB (13,15-18). Our findings support the data in the current literature. In our cohort, T2D was independent negative predictor for therapeutic success. Of all patients included in the study, only 39.4% with T2D reached treatment success while 53.3% without T2D reached the outcome (P=0.009). However, metformin and insulin treatment was discontinued in 64% and 41% of patients with T2D, respectively. This indicates major metabolic improvements in these patients, despite lower weight loss. These metabolic changes that occur after bariatric surgery and contribute to improvement in T2D are another very important outcome.

Early weight loss after surgery appears to be of great importance, as a recent multicentre-study with 1,456 patients demonstrated (19). We found considerable early weight loss during the first 6 months after surgery. The beneficial effect on weight loss was similar for SG and RYGB. The proportion of T2D was higher in RYGB, and patients with T2D were less likely to reach treatment success (OR 0.21, 95% CI: 0.07–0.62). The high proportion of T2D might have influenced the performance of RYGB. Patients that underwent SG had a higher baseline BMI. However, the two methods had an equally high proportion of patients who achieved therapeutic success. In the literature, RYGB is shown to perform slightly better than SG in terms of long-term weight loss, nevertheless, both procedures are very beneficial for patients with morbid obesity. Patients in our study underwent SG or RYGB according to shared decision of patient and surgeon. SG was has become increasingly popular during the past decade (20). Both RYGB and SG are recommended in morbid obesity (21,22). Some studies found better metabolic outcomes for RYGB and superior long-term weight reduction (23,24), but adverse events including hypoglycaemia occur more often with RYGB than with SG (25). Based on the beneficial metabolic effects, patients with a high risk of cardiovascular disease could benefit from RYGB rather than SG (26,27). We found no clear difference between the two groups but cannot exclude the possibility that long-term differences may arise. In agreement with previous findings, our data revealed a beneficial effect on post-surgery weight loss and lipids (28). This may reflect different diets (29) , but changes in gut hormone are also likely to be important (30). The changes occur in patients undergoing SG as well as those undergoing RYGB (31).

Out of the 644 patients considered for bariatric surgery, 170 were found eligible and underwent surgery. In Germany, bariatric surgery is considered last resort in the treatment of obesity and covered by the health insurances only after a thorough multimodal assessment. Most of the patients evaluated for bariatric surgery stopped their participation in the counselling group prematurely and were therefore not considered eligible for bariatric surgery. Others were considered “not emotional stable enough” to undergo bariatric surgery, and some patients showed sufficient response to conservative weight loss, and therefore decided not to undergo bariatric surgery.

Our study has also several limitations. The study population was relatively small and may be not representative in all aspects. Furthermore, our dataset is not complete as several patients were lost to follow-up. These limitations are typical for retrospective studies (32).


Conclusions

We found that a high baseline BMI and presence of T2D may have a negative impact on the therapeutic success, defined as >50% EWL. Age, gender, surgery method and weight loss prior to surgery were no predictors for therapeutic success. There was a similar beneficial effect of SG and RYGB on weight loss. This study contributes to the evidence assuming that obese patients fulfilling criteria for bariatric surgery should be considered to undergo surgery at an early time point.


Acknowledgments

Funding: None.


Footnote

Provenance and Peer Review: This article was commissioned by the Guest Editors (Philipp Lingohr and Jonas Dohmen) for the series “Immunologic Implications of Minimal Invasive Surgery” published in Annals of Laparoscopic and Endoscopic Surgery. The article has undergone external peer review.

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://ales.amegroups.com/article/view/10.21037/ales-21-2/rc

Data Sharing Statement: Available at https://ales.amegroups.com/article/view/10.21037/ales-21-2/dss

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://ales.amegroups.com/article/view/10.21037/ales-21-2/coif). The series “Immunologic Implications of Minimal Invasive Surgery” was commissioned by the editorial office without any funding or sponsorship. AT reports Staplers of J&J were used in bariatric operations. The company is not mentioned in the manuscript. The authors have no other conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The patients consented to all interventions and the local Ethics Committee of the Medical Faculty of the University of Bonn approved of the study (072/18).

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. James WPT. Obesity: A Global Public Health Challenge. Clin Chem 2018;64:24-9. [Crossref] [PubMed]
  2. James WP. WHO recognition of the global obesity epidemic. Int J Obes (Lond) 2008;32:S120-6. [Crossref] [PubMed]
  3. Tremmel M, Gerdtham UG, Nilsson PM, et al. Economic Burden of Obesity: A Systematic Literature Review. Int J Environ Res Public Health 2017;14:435. [Crossref] [PubMed]
  4. Effertz T, Engel S, Verheyen F, et al. The costs and consequences of obesity in Germany: a new approach from a prevalence and life-cycle perspective. Eur J Health Econ 2016;17:1141-58. [Crossref] [PubMed]
  5. Owen-Smith A, Donovan J, Coast J. "Vicious circles": the development of morbid obesity. Qual Health Res 2014;24:1212-20. [Crossref] [PubMed]
  6. Sowemimo OA, Yood SM, Courtney J, et al. Natural history of morbid obesity without surgical intervention. Surg Obes Relat Dis 2007;3:73-7; discussion 77. [Crossref] [PubMed]
  7. Schauer PR, Bhatt DL, Kirwan JP, et al. Bariatric Surgery versus Intensive Medical Therapy for Diabetes - 5-Year Outcomes. N Engl J Med 2017;376:641-51. [Crossref] [PubMed]
  8. Sundbom M. Laparoscopic revolution in bariatric surgery. World J Gastroenterol 2014;20:15135-43. [Crossref] [PubMed]
  9. Buchwald H, Oien DM. Metabolic/bariatric surgery worldwide 2011. Obes Surg 2013;23:427-36. [Crossref] [PubMed]
  10. Frühbeck G. Bariatric and metabolic surgery: a shift in eligibility and success criteria. Nat Rev Endocrinol 2015;11:465-77. [Crossref] [PubMed]
  11. Landecho MF, Valentí V, Moncada R, et al. Eligibility and Success Criteria for Bariatric/Metabolic Surgery. Adv Exp Med Biol 2017;960:529-43. [Crossref] [PubMed]
  12. da Cruz MRR, Branco-Filho AJ, Zaparolli MR, et al. Predictors of Success in Bariatric Surgery: the Role of BMI and Pre-operative Comorbidities. Obes Surg 2018;28:1335-41. [Crossref] [PubMed]
  13. Livhits M, Mercado C, Yermilov I, et al. Preoperative predictors of weight loss following bariatric surgery: systematic review. Obes Surg 2012;22:70-89. [Crossref] [PubMed]
  14. van de Laar AW, Acherman YI. Weight loss percentile charts of large representative series: a benchmark defining sufficient weight loss challenging current criteria for success of bariatric surgery. Obes Surg 2014;24:727-34. [Crossref] [PubMed]
  15. Nickel F, de la Garza JR, Werthmann FS, et al. Predictors of Risk and Success of Obesity Surgery. Obes Facts 2019;12:427-39. [Crossref] [PubMed]
  16. Barhouch AS, Padoin AV, Casagrande DS, et al. Predictors of Excess Weight Loss in Obese Patients After Gastric Bypass: a 60-Month Follow-up. Obes Surg 2016;26:1178-85. [Crossref] [PubMed]
  17. Vennapusa A, Panchangam RB, Kesara C, et al. Factors Predicting Weight Loss after "Sleeve Gastrectomy with Loop Duodenojejunal Bypass" Surgery for Obesity. J Obes Metab Syndr 2020;29:208-14. [Crossref] [PubMed]
  18. Sisik A, Basak F. Presurgical Predictive Factors of Excess Weight Loss After Laparoscopic Sleeve Gastrectomy. Obes Surg 2020;30:2905-12. [Crossref] [PubMed]
  19. Manning S, Pucci A, Carter NC, et al. Early postoperative weight loss predicts maximal weight loss after sleeve gastrectomy and Roux-en-Y gastric bypass. Surg Endosc 2015;29:1484-91. [Crossref] [PubMed]
  20. Emile SH, Elfeki H, Elalfy K, et al. Laparoscopic Sleeve Gastrectomy Then and Now: An Updated Systematic Review of the Progress and Short-term Outcomes Over the Last 5 Years. Surg Laparosc Endosc Percutan Tech 2017;27:307-17. [Crossref] [PubMed]
  21. Climent E, Benaiges D, Pedro-Botet J, et al. Laparoscopic Roux-en-Y gastric bypass vs. laparoscopic sleeve gastrectomy for morbid obesity: a systematic review and meta-analysis of lipid effects at one year postsurgery. Minerva Endocrinol 2018;43:87-100. [PubMed]
  22. Osland E, Yunus RM, Khan S, et al. Weight Loss Outcomes in Laparoscopic Vertical Sleeve Gastrectomy (LVSG) Versus Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) Procedures: A Meta-Analysis and Systematic Review of Randomized Controlled Trials. Surg Laparosc Endosc Percutan Tech 2017;27:8-18. [Crossref] [PubMed]
  23. de Barros F, Setúbal S, Martinho JM, et al. Early Endocrine and Metabolic Changes After Bariatric Surgery in Grade III Morbidly Obese Patients: A Randomized Clinical Trial Comparing Sleeve Gastrectomy and Gastric Bypass. Metab Syndr Relat Disord 2015;13:264-71. [Crossref] [PubMed]
  24. Torgersen Z, Osmolak A, Forse RA. Sleeve gastrectomy and Roux En Y gastric bypass: current state of metabolic surgery. Curr Opin Endocrinol Diabetes Obes 2014;21:352-7. [Crossref] [PubMed]
  25. Foster-Schubert KE. Hypoglycemia complicating bariatric surgery: incidence and mechanisms. Curr Opin Endocrinol Diabetes Obes 2011;18:129-33. [Crossref] [PubMed]
  26. Cazzo E, Jimenez LS, Pareja JC, et al. Effect of Roux-en-Y gastric bypass on nonalcoholic fatty liver disease evaluated through NAFLD fibrosis score: a prospective study. Obes Surg 2015;25:982-5. [Crossref] [PubMed]
  27. Cazzo E, Pareja JC, Chaim EA. Nonalcoholic fatty liver disease and bariatric surgery: a comprehensive review. Sao Paulo Med J 2017;135:277-95. [Crossref] [PubMed]
  28. Sirbu A, Copăescu C, Martin S, Barbu C, Olaru R, Fica S. Six months results of laparoscopic sleeve gastrectomy in treatment of obesity and its metabolic complications. Chirurgia (Bucur) 2012;107:469-75. [PubMed]
  29. Sioka E, Tzovaras G, Oikonomou K, et al. Influence of eating profile on the outcome of laparoscopic sleeve gastrectomy. Obes Surg 2013;23:501-8. [Crossref] [PubMed]
  30. Patriti A, Facchiano E, Gullà N, et al. Gut hormone profiles following bariatric surgery favor an anorectic state, facilitate weight loss, and improve metabolic parameters. Ann Surg 2007;245:157-8. [Crossref] [PubMed]
  31. Menenakos E, Doulami G, Tzanetakou IP, et al. The use of serum uric acid concentration as an indicator of laparoscopic sleeve gastrectomy success. Int Surg 2015;100:173-9. [Crossref] [PubMed]
  32. Vidal P, Ramón JM, Goday A, et al. Lack of adherence to follow-up visits after bariatric surgery: reasons and outcome. Obes Surg 2014;24:179-83. [Crossref] [PubMed]
doi: 10.21037/ales-21-2
Cite this article as: Grandt J, Chang J, Türler A, Jansen C, Schierwagen R, Schröder T, Praktiknjo M, Strassburg CP, Spengler U, Trebicka J, Gluud LL. Cohort study evaluating predictors of therapeutic success after sleeve gastrectomy or Roux-en-Y gastric bypass. Ann Laparosc Endosc Surg 2022;7:1.