Objective: To fulfill the requirements for bariatric surgery, patients often need to participate in mandatory preoperative lifestyle interventions. Currently, the efficacy of multi-month preoperative lifestyle intervention programs on body mass index (BMI) reduction from the start of the program (T0) through the immediate preoperative time point (T1) to 1 year post-surgery (T2) and how the amount of preoperative BMI reduction affects postoperative outcome (T1 to T2) is unclear. The aim of this meta-analysis was to analyze the effects of preoperative lifestyle interventions on BMI 1 year post-surgery. Method: A systematic literature search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. Randomized controlled trials that implemented preoperative lifestyle interventions lasting 1–8 months before bariatric surgery were included. The BMI of the intervention group was compared with that of a control group before participation in the preoperative lifestyle interventions (T0), after completion of the program before surgery (T1), and 1 year post-surgery (T2). Finally, the impact of successful BMI reduction at T1 on BMI at T2 was analyzed. Results:N = 345 patients derived from 4 studies undergoing preoperative lifestyle interventions reduced their BMI at T1 by 1.5 units compared to the control group (95% CI: −2.73, −0.28). One year post-surgery, both groups had lost comparable BMI points. The influence of reduced BMI at T1 on weight status at T2 is unclear due to the lack of available studies. Other endpoints and subgroup analyses were rarely examined. Conclusions: Preoperative lifestyle interventions reduce BMI before bariatric surgery more effectively than usual care. These differences are not detectable 1 year post-surgery. Although a short-term energy reduction period before surgery is clearly important to minimize surgery risks, it is currently unclear whether, and if so, under what circumstances, participation in a preoperative lifestyle intervention is beneficial.

Current treatment options for obesity are, on the one hand, conservative weight management methods focusing on reduced energy intake, improved eating behavior, and increased physical activity. Realistic weight loss goals range between 4 and 6% of the initial body weight [1, 2]. On the other hand, there is the possibility of bariatric surgery, which is more effective in reducing body weight, reducing comorbidities, and enhancing quality of life than nonsurgical approaches [3‒5]. Through bariatric surgery procedures, total body weight loss (BWL) of 21–22% can be achieved over the long term which corresponds to a 47–48% loss in excess body weight [6]. Other references indicate a total BWL of about 30% [7, 8]. Because the operation risk is low, bariatric surgery is a safe option for reducing body weight, especially when conservative methods have been exhausted [4, 9, 10].

However, there is still an ongoing debate about the ideal treatment of patients before surgery. It is recommended especially by bariatric surgeons to follow a 2-week very low-calorie diet (VLCD) before surgery to minimize risk of surgical complications by losing weight immediately before surgery and therefore reducing liver mass and abdominal fat [11]. In addition, there are also preoperative programs, so-called lifestyle interventions that last for several months, incorporating multiple aspects to different extents: eating behavior, physical activity, behavior change, education about obesity, and information about bariatric surgery. These programs aim to promote healthy long-term lifestyle changes to support bariatric surgery outcomes. Thus, their focus is not only weight loss. However, the question remains whether such programs impact body weight-related outcomes and/or psychological well-being post-surgery, especially since preoperative lifestyle programs are often mandatory before bariatric surgery [12‒15].

Four systematic reviews have investigated postoperative differences in weight-related outcomes between an intervention group (IG) that participated in a preoperative lifestyle intervention versus a control group (CG) that underwent usual care [16‒19]. Cassie et al. [16] found no differences between the IG and the CG on postoperative weight-related outcomes. Liu [17] reported that in 5 of 8 studies, the IG tended to have a greater weight loss than CG at postoperative endpoints. Stewart et al. included both preoperative and postoperative interventions and concluded that both interventions were able to optimize the post-surgery weight loss. However, the postoperative period appeared to be more favorable for implementation of lifestyle interventions [19]. Marshall et al. [18] found that the IG lost more weight post-surgery through interventions both before and after surgery but also favored the postoperative timing for delivering the program. It is important to note that this analysis included short-term intervention programs with 2-week duration.

None of the reviews examined how the amount of preoperative weight loss achieved through the programs affected postoperative weight loss. Consequently, the impact of multi-month preoperative lifestyle intervention programs on body mass index (BMI) change from the start of the program (T0) to the immediate preoperative time point (T1) and to 1 year post-surgery (T2) and how the success of pre-surgery BWL affects the postoperative outcomes (T1 on T2) are currently unclear. The overall aim of this meta-analysis was to provide a comprehensive overview of the effect of >1-month preoperative lifestyle interventions on BWL 1 year post-bariatric surgery. The following three review questions were examined to evaluate whether or not preoperative interventions in comparison to usual care before bariatric surgery are beneficial.

  • Do lifestyle interventions delivered preoperatively reduce BMI before a bariatric surgery procedure?

  • Do individuals completing a lifestyle intervention program preoperatively decrease their BMI greater post-surgery in comparison to individuals undergoing usual care?

  • Are individuals who have successfully reduced their BMI preoperatively through a lifestyle intervention more successful at decreasing the BMI postoperatively than individuals with no success?

This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines [20]. The review protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO; CRD42021200524).

Literature Information Sources and Search Strategy

A systematic literature search was conducted on 21 May 2020 and updated on 28 April 2021, in the databases PubMed, Web of Science, and the Cochrane Library. The full search strategy is documented in the online supplementary Material 1 (for all online suppl. material, see www.karger.com/doi/10.1159/000526945) and was based on the five PICOS dimensions, i.e., participants (P), interventions (I), comparators (C), outcome (O), and study design (S) to identify all relevant articles [21]. Studies were included if they had the following characteristics.

Participants

Patients with obesity of both sexes and all ethnicities aged ≥18 years and an indication for bariatric surgery. To avoid selection bias of specific groups, studies conducted exclusively in specific patient groups (e.g., type 2 diabetes, metabolic syndrome) were excluded.

Interventions

Preoperative lifestyle interventions for a mean period of 1–8 months before bariatric surgery consisting of (a) dietary interventions including meal replacement and VLCD (very low-calorie diet), (b) behavioral/psychological interventions, and (c) educational programs preparing for changes post-bariatric surgery combined with or without physical activity were included. Studies only recommending weight loss without further interventions were excluded. The period of 8 months was chosen because many intervention programs are designed for 6 months but are extended due to vacations, catch-up appointments, illness, and program organization. Studies lasting less than 4 weeks were excluded because they were indistinguishable from the 2-week protein diets immediately before surgery.

Comparators

Studies with CGs that underwent usual care before bariatric surgery.

Outcome

The primary outcome was body weight-related parameters including BWL (in % or kg), BMI, change in BMI, and other weight-related parameters. Data were extracted from text, tables, and graphs. Body weight-related parameters were assessed before (T0) and for review question 1 after completing the preoperative lifestyle intervention before surgery (T1) and for review question 2 after a mean duration of 12–36 months post-surgery (T2). Question 3 examines the effects of preoperative (T1) on postoperative body weight change (T2). Studies with self-reported weight post-bariatric surgery were included since self-reported weight after bariatric surgery is similar to the objectively measured body weight [22].

Study Design

Randomized controlled trials (RCTs) published in peer-reviewed journals in English were included.

Study Selection, Data Collection, and Organization

The search results of the three databases were combined and duplicates were removed. Next, titles and abstracts were screened independently by two authors (TL and JC) to identify appropriate studies, and their eligibility was discussed in cases of disagreement. To provide a structured overview, the studies were categorized into three groups according to our research questions. Group 1: Effect of preoperative lifestyle interventions on pre-surgery BMI reduction (T0 to T1); Group 2: Effect of preoperative lifestyle interventions on postoperative BMI reduction (T0 to T2); Group 3: Impact of successful BMI reduction before surgery on postoperative outcome (T1 to T2).

Data Items and Statistics

The following information was extracted from each included article: year of publication, country of origin, study type, sample characterization (including sample size, sex, age), BMI (T0: baseline BMI, T1: preoperative BMI, and T2: postoperative BMI), information on the bridging interventions (type of intervention, duration, frequency, interval to surgery), operation method, and follow-up length. Characteristics across studies are presented as median (interquartile range), minimum and maximum for sample size, intervention length, age, and sex. The analyses were performed using the software package Review Manager (Review Manager [RevMan] [Computer program], Version 5.4. The Cochrane Collaboration, 2020). BMI data at T1 and T2, corresponding standard deviations, and sample sizes are presented separately for the IG and CG, and the difference is expressed as mean difference and 95% confidence interval and displayed in forest plots. Statistical heterogeneity was examined by visual inspection of forest plots and using the I2 statistics to quantify inconsistency between the studies. I2 heterogenity below 40% is considered low. Robustness of the results was tested by repeating the analysis using different statistical models (fixed-effects and random-effects models). In case of missing data, authors were contacted by email. All authors have responded and have provided the most relevant data.

Risk of Bias

A risk of bias assessment was performed for all included studies using the Cochrane risk-of-bias tool RoB 2 for randomized trials [23]. The tool is divided into 5 domains addressing different types of bias: randomization, deviations from the intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result. In each domain, different signaling questions are used to evaluate the risk of bias. With the help of an algorithm, the risks of the individual sections are evaluated, and an overall risk is calculated and expressed as “low” or “high” risk of bias or can be expressed as “some concerns.”

Study Selection and Categorization

A total of 1,092 articles were identified through databases and hand search. Five of the articles met the inclusion criteria [24‒28]. Figure 1 shows the detailed process of the systematic literature search. One trial (Hjelmesæth et al. [26]) was a follow-up publication of another included paper (Gade et al. [25]). Thus, the data of both papers were summarized and analyzed as one study.

Fig. 1.

PRISMA flow diagram. N: number; RCT: randomized controlled trial.

Fig. 1.

PRISMA flow diagram. N: number; RCT: randomized controlled trial.

Close modal

Summary of Study Characteristics

A detailed description of the characteristics of the single trials is given in Table 1. The trials were published between 2012 and 2019. Two studies were conducted in Norway, one took place in Canada and one in the USA. All studies included behavior change interventions. In total, the four trials included 345 participants. The median sample size was 89 (66–109) and ranged between 25 and 143 participants. The duration of the interventions lasted from 6 to 33 weeks with a median length of 18 (9–28) weeks (4.5 months). The participants had a median age of 43.6 (42.9–44.5) years (min: 42.9, max: 44.9) and 75% of the participants were women.

Table 1.

Characteristics of studies

 Characteristics of studies
 Characteristics of studies

Risk of Bias

Table 2 summarizes the risk of bias assessment. The overall risk of bias for the included trials was low.

Table 2.

Risk of bias

 Risk of bias
 Risk of bias

Bias Arising from the Randomization Process

The randomization and allocation of participants was of low risk of bias in all trials.

Bias due to Deviations from Intended Interventions

For some exposures, such as behavioral interventions including counseling, diet restrictions, and physical activity, it is not possible to entirely blind research staff and participants during the study. However, since no deviations from the study protocols were identified, the performance bias was considered low.

Bias due to Missing Outcome Data

Three of the trials were analyzed per protocol and not per intention-to-treat. The dropout rate of these 3 RCTs was above 20%, with two even exceeding 30%. Consequently, attrition bias was assessed with “some concerns.”

Bias in Measurement of the Outcome

The outcome measurement was of low risk of bias because weight-related parameters like BMI as an outcome are very reliable and objectively measurable.

Bias in Selection of the Reported Result

The adherence to study protocols was of low risk of bias.

Summary of Study Outcome

Group 1: Effect of Pre-Operative Lifestyle Interventions on Pre-Surgery BMI Reduction (T0 to T1)

For the analysis of group 1, three trials were eligible [24‒27]. The baseline BMIs were similar between IG and CG in all RCTs. Two studies demonstrated no effect of bridging on preoperative BMI [24, 27]. In contrast, Gade et al. [25]/Hjelmesæth et al. [26] favored the IG for BWL (mean BMI difference −1.36 kg/m2, 95% CI: − 1.95, −0.77; p < 0.001). Figure 2 shows the quantitative analysis of these three RCT studies and is in favor of preoperative lifestyle interventions. Participants who underwent preoperative intervention had 1.44 BMI units less in comparison to the controls (95% CI: −2.01, −0.86). There is no statistical heterogeneity among the studies (I2 = 0%), and the random-effects and fixed-effect models yielded identical results.

Fig. 2.

Quantitative analysis of BMI at T1. BMI: body mass index; T1: time point at T1 (before bariatric surgery); SD: standard deviation; CI: confidence interval; IV: inverse variance.

Fig. 2.

Quantitative analysis of BMI at T1. BMI: body mass index; T1: time point at T1 (before bariatric surgery); SD: standard deviation; CI: confidence interval; IV: inverse variance.

Close modal

Group 2: Effect of Pre-Operative Lifestyle Interventions on Post-Operative BMI Reduction (T0 to T2)

All four trials were included for analysis [24‒28]. None of the studies reported a significant difference in BMI decrease between the IG and CG 1 year post-surgery. In line, the quantitative analysis (shown in Fig. 3) found no superiority of preoperative bridging intervention in comparison to standard care. One year post-surgery, the IG lost mean −0.05 BMI units [95% CI: −1.39, 1.29] compared to the CG. Statistical heterogeneity among the studies was I2 = 0%, and the random-effects and fixed-effect models displayed identical results.

Fig. 3.

Quantitative analysis of BMI at T2. BMI: body mass index; T2: 12 months after bariatric surgery; SD: standard deviation; CI: confidence interval; IV: inverse variance.

Fig. 3.

Quantitative analysis of BMI at T2. BMI: body mass index; T2: 12 months after bariatric surgery; SD: standard deviation; CI: confidence interval; IV: inverse variance.

Close modal

Group 3: Impact of Successful BMI Reduction before Surgery on the Post-Operative Outcome (T1 to T2)

Kalarchian et al. [27] were the only out of the four RCTs which examined the role of pre-surgery BWL on postoperative BWL outcomes; thus, no quantitative analysis is possible for this group. Participants who lost more than 5% of their initial body weight preoperatively (group ≥5%) and those who lost less than 5% of their initial body weight (group <5%) were distinguished. These two different weight loss groups were compared from 6 months to 24 months post-surgery for their % BWL. Six months after bariatric surgery, the “group ≥5%” lost more than the “group <5%” (25.7% BWL vs. 22.3% BWL, p < 0.0006). This significant difference between these groups disappeared after 12 months (28.5% vs. 28.3% weight loss, p = 0.33) and 24 months (28.1% vs. 27.8% weight loss, p = 0.37) post-surgery, respectively. Besides this RCT by Kalarchian et al. [27], we identified 14 non-RCT studies during our research process covering the topic of the impact of successful BMI reduction before surgery on the postoperative outcome. The findings of these studies are incorporated into the discussion.

The aim of this systematic review and meta-analysis was to analyze the long-term benefit in BMI reduction of patients with obesity undergoing >1-month preoperative lifestyle interventions versus usual care before bariatric surgery. Our first review question showed that preoperatively delivered lifestyle interventions reduce BMI before a bariatric procedure better than usual care. The purpose of these preoperative interventions is to prepare for surgery and to provide knowledge for a lifelong healthy lifestyle. The results indicate that participation in such preoperative lifestyle interventions before bariatric surgery led to minor BWL, which contribute to decreased risk during the procedure. However, these intervention programs may have their limitations since Bauer et al. [29] recently showed that having a positive attitude toward bariatric surgery per se hinders an individual’s weight loss in a 6-month, multimodal lifestyle intervention. Personal exhaustion toward conservative weight loss programs and a lack of motivation may be underlying factors. Thus, a personalized approach for choosing the appropriate program for weight loss (focus of program, length) before bariatric surgery may achieve the best results. In terms of psychological well-being, the situation is completely unclear. Despite minor weight loss in patients wishing to undergo bariatric surgery in the abovementioned study by Bauer et al. [29], depressive and anxiety symptoms and quality of life had similar improvement in comparison to the patients not wishing to undergo bariatric surgery. Especially for psychologically unstable patients, such lifestyle interventions could help improve compliance post-bariatric surgery, which is known to be critical, e.g., in patients with depression [30]. However, this is speculation at this point since no evidence is available in the literature.

Taking this topic further, the second question examined if individuals completing a lifestyle intervention program preoperatively would decrease their BMI greater post-surgery in comparison to individuals undergoing usual care. Both the IG and CG did not differ in their BMI losses 1 year post-surgery. Bariatric surgery itself is such a strong intervention factor for BWL that it is most likely that other small achievements before surgery are negligible in impacting long-term outcomes when an approximate energy balance is finally achieved post-surgery [31‒34]. After surgery, when BWL occurs naturally, if not counteracted due to severe psychological conditions such as depression, the patients themselves experience the full benefit of weight loss, accompanied by an increase in quality of life and a considerable positive impact on their motivation to change their lifestyle [30, 35]. Although it has been suggested that the postoperative timing for lifestyle intervention may be more favorable than the preoperative timing [18, 19], a high-quality randomized, controlled multicenter study showed that a video-based postoperative treatment was not superior to treatment as usual [35]. However, postoperative support is inevitably important for patients with depression and other psychological problems [30, 35].

Finally, the third review question examined whether or not individuals having successfully reduced their BMI preoperatively through the lifestyle intervention were more successful at decreasing the BMI postoperatively in comparison to individuals with no success. Since only one RCT addressed this question, this did not allow for quantitative analysis. No differences in BWL after 12 and 24 months post-surgery between the preoperative weight loss and non-weight loss group were detected.

These results are supported by 14 other non-RCT addressing this issue [36‒49]. Some of these studies examined preoperative lifestyle modification programs or short educational trainings [37‒44, 47‒49], whereas the other three studies only examined the impact of a certain percentage or amount of weight loss before surgery on postoperative weight loss [36, 45, 46]. All studies examined the impact of successful preoperative BWL on BWL 12 months post-surgery, except for one study which performed a follow-up until 6.3 years [45]. The results of 9 out of the 14 studies were in line with the only RCT existing on this topic, showing that the success of pre-surgery BWL did not influence postoperative weight loss [36, 38‒40, 42‒47, 49]. In contrast, three other studies concluded that patients who either participated in preoperative programs or successfully met the weight loss guidelines preoperatively were more successful in losing weight post-surgery [37, 41, 48].

Since there appears to be no or only minor benefit in undergoing lifestyle intervention programs prior to surgery in terms of body weight reduction, the question arises whether there are other benefits from these interventions for bariatric surgery candidates. As mentioned above, improvement of psychological stability can be expected from such programs independent of attitude toward bariatric surgery, which may be especially important for patients with psychological burden [29, 50].

In this review, three of the included trials examined secondary outcomes in addition to BWL [24‒26, 28]. Lier et al. [28] concluded that preoperative interventions lead to better treatment compliance. Additionally, they examined patient’s satisfaction with the program. However, their results did not show a relation between satisfaction and compliance with the intervention.

Two studies investigated quality of life and reported no differences between IG and CG 1 year post-surgery [24‒26]. Gade et al. [25]/Hjelmasaeth et al. [26] reported a faster improvement of pathological eating patterns and affective symptoms (anxiety and depression symptoms) through pre-surgery lifestyle intervention, but in their follow-up publication at 4 years post-surgery, these improvements were no longer related [26]. These results are not unexpected since initial BWL per se increases quality of life in patients with obesity [51, 52]. In summary, only few studies investigated factors other than BWL. For these, no superiority in the long-term was shown for preoperative lifestyle intervention programs. Nevertheless, it is important to note that no subgroup analyses for vulnerable groups, e.g., with depression, were reported by any of these studies.

This leads to the question to what degree lifestyle intervention and information should be provided preoperatively to (i) educate patients appropriately about the surgery and the consequences and (ii) prepare and initiate an improved lifestyle without unnecessarily lengthening the time to surgery? As pointed out already above, a personalized approach taking into account especially the psychological situation of the patients may be most suitable.

Overall, although not a topic of this review, the short-term VLCD immediately before the operation to lose weight and therefore minimize surgery complications is efficient and has been widely used with success [11, 53]. In addition, patients need a thorough education about the surgery and its consequences to allow them to feel secure and have realistic expectations regarding the amount of weight loss and resolution of comorbidities following surgery [54]. This period should not last too long in order to allow a fast transfer to surgery [55]. Under which circumstances a preoperative lifestyle intervention is advantageous is not clear at the current stage of evidence. However, after bariatric surgery, vulnerable groups, e.g., with depression, need support for compliance and favorable outcomes [35, 56].

This study has several strengths and limitations. Most importantly, this meta-analysis showed minimal heterogeneity among the studies, allowing to conclude that the results of the quantitative analyses are reliable. However, the findings are based on only four RCTs which differed in content and extent of their interventions, and the used I2 statistics should be treated with caution when a meta-analysis includes only a few studies [57]. Secondary outcomes like psychological well-being were rarely investigated, and no subgroup analysis for vulnerable groups, e.g., with depression, was reported. In this review, only postop periods of 1 year could be considered due to a lack of long-term data exceeding this time period.

Preoperative lifestyle programs are often mandatory before bariatric surgery. However, although preoperative lifestyle interventions reduce body weight before bariatric surgery more effectively than usual care, this difference disappears 1 year post-surgery. Although a short-term energy reduction period before surgery is clearly important to minimize risk, it is currently unclear whether, and if so under what circumstances, participation in a preoperative lifestyle intervention is beneficial.

  • Preoperative lifestyle interventions reduce BMI before bariatric surgery.

  • BMI reduction post-surgery is independent of preoperative lifestyle intervention.

  • Influence of pre-surgery BMI reduction on postoperative weight success is unclear.

  • Secondary outcomes and psychological well-being are rarely investigated.

An ethics statement is not applicable because this study is based exclusively on published literature.

The authors declare no conflicts of interest.

Isabelle Mack received a grant from the Ministry of Science, Baden-Württemberg, and the European Social Fund.

Conceptualization: Isabelle Mack, Teresa Lau, Jessica Cook, and Rami Archid; methodology and validation: Teresa Lau, Jessica Cook, and Isabelle Mack; software and data curation: Teresa Lau and Jessica Cook; formal analysis and visualization: Teresa Lau; supervision: Isabelle Mack; discussion of results and interpretation: Teresa Lau, Jessica Cook, Stephan Zipfel, Rami Archid, Andreas Stengel, and Isabelle Mack; writing – original draft preparation: Teresa Lau and Isabelle Mack; writing – review and editing and approval of the final version: Teresa Lau, Jessica Cook, Stephan Zipfel, Rami Archid, Andreas Stengel, and Isabelle Mack.

All data generated or analyzed during this study are included in this article and its supplementary material files. Further inquiries can be directed to the corresponding author.

1.
Bauer
K
,
Lau
T
,
Schwille-Kiuntke
J
,
Schild
S
,
Hauner
H
,
Stengel
A
,
.
Conventional weight loss interventions across the different BMI obesity classes: a systematic review and quantitative comparative analysis
.
Eur Eat Disord Rev
.
2020
;
28
(
5
):
492
512
.
2.
Yumuk
V
,
Tsigos
C
,
Fried
M
,
Schindler
K
,
Busetto
L
,
Micic
D
,
.
European guidelines for obesity management in adults
.
Obes Facts
.
2015
;
8
(
6
):
402
24
.
3.
Boido
A
,
Ceriani
V
,
Cetta
F
,
Lombardi
F
,
Pontiroli
AE
.
Bariatric surgery and prevention of cardiovascular events and mortality in morbid obesity: mechanisms of action and choice of surgery
.
Nutr Metab Cardiovasc Dis
.
2015
;
25
(
5
):
437
43
.
4.
Chang
S-H
,
Stoll
CRT
,
Song
J
,
Varela
JE
,
Eagon
CJ
,
Colditz
GA
.
The effectiveness and risks of bariatric surgery: an updated systematic review and meta-analysis, 2003-2012
.
JAMA Surg
.
2014
;
149
(
3
):
275
87
.
5.
Colquitt
JL
,
Pickett
K
,
Loveman
E
,
Frampton
GK
.
Surgery for weight loss in adults
.
Cochrane Database Syst Rev
.
2014
;
8
.
6.
O’Brien
PE
,
Hindle
A
,
Brennan
L
,
Skinner
S
,
Burton
P
,
Smith
A
,
.
Long-term outcomes after bariatric surgery: a systematic review and meta-analysis of weight loss at 10 or more years for all bariatric procedures and a single-centre review of 20-year outcomes after adjustable gastric banding
.
Obes Surg
.
2019
;
29
(
1
):
3
14
.
7.
Corcelles
R
,
Boules
M
,
Froylich
D
,
Hag
A
,
Daigle
CR
,
Aminian
A
,
.
Total weight loss as the outcome measure of choice after roux-en-Y gastric bypass
.
Obes Surg
.
2016
;
26
(
8
):
1794
8
.
8.
Wolfe
BM
,
Kvach
E
,
Eckel
RH
.
Treatment of obesity
.
Circ Res
.
2016
;
118
(
11
):
1844
55
.
9.
Arterburn
DE
,
Telem
DA
,
Kushner
RF
,
Courcoulas
AP
.
Benefits and risks of bariatric surgery in adults: a review
.
JAMA
.
2020
;
324
(
9
):
879
87
.
10.
De Luca
M
,
Angrisani
L
,
Himpens
J
,
Busetto
L
,
Scopinaro
N
,
Weiner
R
.
Indications for surgery for obesity and weight-related diseases: position statements from the international federation for the surgery of obesity and metabolic disorders (IFSO)
.
Obes Surg
.
2016
;
26
(
8
):
1659
96
.
11.
Mechanick
JI
,
Apovian
C
,
Brethauer
S
,
Garvey
WT
,
Joffe
AM
,
Kim
J
.
Clinical practice guidelines for the perioperative nutrition, metabolic, and nonsurgical support of patients undergoing bariatric procedures: 2019 update – cosponsored by American Association of Clinical Endocrinologists/American College of Endocrinology, The Obesity Society, American Society for Metabolic & Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists
.
Endocr Pract
.
2019
;
25
(
2
):
1
75
.
12.
Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie e.V. (DGAV). S3-Leitlinie: Chirurgie der Adipositas und metabolischer Erkrankungen. Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e.V. (AWMF). 2018. Nr. 088-001. Available from: https://www.awmf.org/uploads/tx_szleitlinien/088-001L_S3_Chirurgie-Adipositas-metabolische-Erkrankugen_2018-02.pdf.
13.
National Institute of Health (NICE)
.
Clinical Guideline [CG189]. Obesity: identification, assessment and management
. Available from: https://www.nice.org.uk/guidance/cg189.
14.
National Institute of Diabetes and Digestive and Kidney Diseases
.
“Definition and facts of weight-loss surgery” [homepage on the Internet]
. Available from: https://www.niddk.nih.gov/health-information/weight-management/bariatric-surgery/definition-facts.
15.
American Society for Metabolic and Bariatric Surgery (ASMBS)
.
“Who is a candidate for bariatric surgery”? [homepage on the Internet]
. Available from: https://asmbs.org/patients/who-is-a-candidate-for-bariatric-surgery.
16.
Cassie
S
,
Menezes
C
,
Birch
DW
,
Shi
X
,
Karmali
S
.
Effect of preoperative weight loss in bariatric surgical patients: a systematic review
.
Surg Obes Relat Dis
.
2011
;
7
(
6
):
760
7
.
17.
Liu
RH
.
Do behavioral interventions delivered before bariatric surgery impact weight loss in adults? A systematic scoping review
.
Bariatr Surg Pract Patient Care
.
2016
;
11
(
2
):
39
48
.
18.
Marshall
S
,
Mackay
H
,
Matthews
C
,
Maimone
IR
,
Isenring
E
.
Does intensive multidisciplinary intervention for adults who elect bariatric surgery improve post-operative weight loss, co-morbidities, and quality of life? A systematic review and meta-analysis
.
Obes Rev
.
2020
;
21
(
7
):
e13012
.
19.
Stewart
F
,
Avenell
A
.
Behavioural interventions for severe obesity before and/or after bariatric surgery: a systematic review and meta-analysis
.
Obes Surg
.
2016
;
26
(
6
):
1203
14
.
20.
Liberati
A
,
Altman
DG
,
Tetzlaff
J
,
Mulrow
C
,
Gøtzsche
PC
,
Ioannidis
JPA
.
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
.
BMJ
.
2009
;
339
:
b2700
.
21.
Schardt
C
,
Adams
MB
,
Owens
T
,
Keitz
S
,
Fontelo
P
.
Utilization of the PICO framework to improve searching PubMed for clinical questions
.
BMC Med Inform Decis Mak
.
2007
;
7
(
1
):
16
.
22.
Christian
NJ
,
King
WC
,
Yanovski
SZ
,
Courcoulas
AP
,
Belle
SH
.
Validity of self-reported weights following bariatric surgery
.
JAMA
.
2013
;
310
(
22
):
2454
6
.
23.
Sterne
JAC
,
Savović
J
,
Page
MJ
,
Elbers
RG
,
Blencowe
NS
,
Boutron
I
.
RoB 2: a revised tool for assessing risk of bias in randomised trials
.
BMJ
.
2019
;
366
:
l4898
.
24.
Baillot
A
,
Vallée
CA
,
Mampuya
WM
,
Dionne
IJ
,
Comeau
E
,
Méziat-Burdin
A
,
.
Effects of a pre-surgery supervised exercise training 1 year after bariatric surgery: a randomized controlled study
.
Obes Surg
.
2018
;
28
(
4
):
955
62
.
25.
Gade
H
,
Friborg
O
,
Rosenvinge
JH
,
Småstuen
MC
,
Hjelmesæth
J
.
The impact of a preoperative cognitive behavioural therapy (CBT) on dysfunctional eating behaviours, affective symptoms and body weight 1 year after bariatric surgery: a randomised controlled trial
.
Obes Surg
.
2015
;
25
(
11
):
2112
9
.
26.
Hjelmesæth
J
,
Rosenvinge
JH
,
Gade
H
,
Friborg
O
.
Effects of cognitive behavioral therapy on eating behaviors, affective symptoms, and weight loss after bariatric surgery: a randomized clinical trial
.
Obes Surg
.
2019
;
29
(
1
):
61
9
.
27.
Kalarchian
MA
,
Marcus
MD
,
Courcoulas
AP
,
Cheng
Y
,
Levine
MD
.
Preoperative lifestyle intervention in bariatric surgery: a randomized clinical trial
.
Surg Obes Relat Dis
.
2016
;
12
(
1
):
180
7
.
28.
Lier
,
Biringer
E
,
Stubhaug
B
,
Tangen
T
.
The impact of preoperative counseling on postoperative treatment adherence in bariatric surgery patients: a randomized controlled trial
.
Patient Educ Couns
.
2012
;
87
(
3
):
336
42
.
29.
Bauer
K
,
Schild
S
,
Sauer
H
,
Teufel
M
,
Stengel
A
,
Giel
KE
.
Attitude matters! How attitude towards bariatric surgery influences the effects of behavioural weight loss treatment
.
Obes Facts
.
2021
;
14
(
5
):
531
42
.
30.
Mack
I
,
Ölschläger
S
,
Sauer
H
,
von Feilitzsch
M
,
Weimer
K
,
Junne
F
.
Does laparoscopic sleeve gastrectomy improve depression, stress and eating behaviour? A 4-year follow-up study
.
Obes Surg
.
2016
;
26
(
12
):
2967
73
.
31.
Akalestou
E
,
Miras
AD
,
Rutter
GA
,
le Roux
CW
.
Mechanisms of weight loss after obesity surgery
.
Endocr Rev
.
2022
;
43
(
1
):
19
34
.
32.
Li
W
,
Richard
D
.
Effects of bariatric surgery on energy homeostasis
.
Can J Diabetes
.
2017
;
41
(
4
):
426
31
.
33.
Müller
MJ
,
Enderle
J
,
Bosy-Westphal
A
.
Changes in energy expenditure with weight gain and weight loss in humans
.
Curr Obes Rep
.
2016
;
5
(
4
):
413
23
.
34.
Thivel
D
,
Brakonieki
K
,
Duche
P
,
Béatrice
M
,
Yves
B
,
Laferrère
B
.
Surgical weight loss: impact on energy expenditure
.
Obes Surg
.
2013
;
23
(
2
):
255
66
.
35.
Wild
B
,
Hünnemeyer
K
,
Sauer
H
,
Hain
B
,
Mack
I
,
Schellberg
D
.
A 1-year videoconferencing-based psychoeducational group intervention following bariatric surgery: results of a randomized controlled study
.
Surg Obes Relat Dis
.
2015
;
11
(
6
):
1349
60
.
36.
Alami
RS
,
Morton
JM
,
Schuster
R
,
Lie
J
,
Sanchez
BR
,
Peters
A
,
.
Is there a benefit to preoperative weight loss in gastric bypass patients? A prospective randomized trial
.
Surg Obes Relat Dis
.
2007
;
3
(
2
):
141
5
; discussion 5–6. https://doi.org/10.1016/j.soard.2006.11.006.
37.
Brown
WA
,
Burton
PR
,
Shaw
K
,
Smith
B
,
Maffescioni
S
,
Comitti
B
.
A pre-hospital patient education program improves outcomes of bariatric surgery
.
Obes Surg
.
2016
;
26
(
9
):
2074
81
.
38.
Carlin
AM
,
O'Connor
EA
,
Genaw
JA
,
Kawar
S
.
Preoperative weight loss is not a predictor of postoperative weight loss after laparoscopic Roux-en-Y gastric bypass
.
Surg Obes Relat Dis
.
2008
;
4
(
4
):
481
5
.
39.
Conaty
EA
,
Bonamici
NJ
,
Gitelis
ME
,
Johnson
BJ
,
Deasis
F
,
Carbray
JM
.
Efficacy of a required preoperative weight loss program for patients undergoing bariatric surgery
.
J Gastrointest Surg
.
2016
;
20
(
4
):
667
73
.
40.
Horwitz
D
,
Saunders
JK
,
Ude-Welcome
A
,
Parikh
M
.
Insurance-mandated medical weight management before bariatric surgery
.
Surg Obes Relat Dis
.
2016
;
12
(
3
):
496
9
.
41.
Hutcheon
DA
,
Hale
AL
,
Ewing
JA
,
Miller
M
,
Couto
F
,
Bour
ES
,
.
Short-term preoperative weight loss and postoperative outcomes in bariatric surgery
.
J Am Coll Surg
.
2018
;
226
(
4
):
514
24
.
42.
Jamal
MK
,
DeMaria
EJ
,
Johnson
JM
,
Carmody
BJ
,
Wolfe
LG
,
Kellum
JM
,
.
Insurance-mandated preoperative dietary counseling does not improve outcome and increases dropout rates in patients considering gastric bypass surgery for morbid obesity
.
Surg Obes Relat Dis
.
2006
;
2
(
2
):
122
7
.
43.
Kuwada
TS
,
Richardson
S
,
Chaar
ME
,
Norton
HJ
,
Cleek
J
,
Tomcho
J
,
.
Insurance-mandated medical programs before bariatric surgery: do good things come to those who wait
.
Surg Obes Relat Dis
.
2011
;
7
(
4
):
526
30
.
44.
Martin
LF
,
Tan
T-L
,
Holmes
PA
,
Backer
DA
,
Horn
J
,
Bixler
EO
.
Can morbidly obese patients safely lose weight preoperatively
.
Am J Surg
.
1995
;
169
(
2
):
245
53
.
45.
Samaan
JS
,
Zhao
J
,
Qian
E
,
Hernandez
A
,
Toubat
O
,
Alicuben
ET
.
Preoperative weight loss as a predictor of bariatric surgery postoperative weight loss and complications
.
J Gastrointest Surg
.
2022
;
26
(
1
):
86
93
.
46.
Sherman
WE
,
Lane
AE
,
Mangieri
CW
,
Choi
YU
,
Faler
BJ
.
Does preoperative weight change predict postoperative weight loss after laparoscopic sleeve gastrectomy
.
Bariatr Surg Pract Patient Care
.
2015
;
10
(
3
):
126
9
.
47.
Still
CD
,
Benotti
P
,
Wood
GC
,
Gerhard
GS
,
Petrick
A
,
Reed
M
.
Outcomes of preoperative weight loss in high-risk patients undergoing gastric bypass surgery
.
Arch Surg
.
2007
;
142
(
10
):
994
8
.
48.
Talarico
JA
,
Torquati
A
,
McCarthy
EM
,
Bonomo
S
,
Lutfi
RE
.
Pre-Lap-Band group education in Medicaid population: does it really make a difference
.
Surg Obes Relat Dis
.
2010
;
6
(
4
):
356
60
.
49.
Watanabe
A
,
Seki
Y
,
Haruta
H
,
Kikkawa
E
,
Kasama
K
.
Preoperative weight loss and operative outcome after laparoscopic sleeve gastrectomy
.
Obes Surg
.
2017
;
27
(
10
):
2515
21
.
50.
Wimmelmann
CL
,
Dela
F
,
Mortensen
EL
.
Psychological predictors of mental health and health-related quality of life after bariatric surgery: a review of the recent research
.
Obes Res Clin Pract
.
2014
;
8
(
4
):
e314
24
.
51.
Andersen
JR
,
Aasprang
A
,
Karlsen
TI
,
Karin Natvig
G
,
Våge
V
,
Kolotkin
RL
.
Health-related quality of life after bariatric surgery: a systematic review of prospective long-term studies
.
Surg Obes Relat Dis
.
2015
;
11
(
2
):
466
73
.
52.
Faulconbridge
LF
,
Wadden
TA
,
Thomas
JG
,
Jones-Corneille
LR
,
Sarwer
DB
,
Fabricatore
AN
.
Changes in depression and quality of life in obese individuals with binge eating disorder: bariatric surgery versus lifestyle modification
.
Surg Obes Relat Dis
.
2013
;
9
(
5
):
790
6
.
53.
Tabesh
MR
,
Maleklou
F
,
Ejtehadi
F
,
Alizadeh
Z
.
Nutrition, physical activity, and prescription of supplements in pre- and post-bariatric surgery patients: a practical guideline
.
Obes Surg
.
2019
;
29
(
10
):
3385
400
.
54.
Kaly
P
,
Orellana
S
,
Torrella
T
,
Takagishi
C
,
Saff-Koche
L
,
Murr
MM
.
Unrealistic weight loss expectations in candidates for bariatric surgery
.
Surg Obes Relat Dis
.
2008
;
4
(
1
):
6
10
.
55.
Eng
V
,
Garcia
L
,
Khoury
H
,
Morton
J
,
Azagury
D
.
Preoperative weight loss: is waiting longer before bariatric surgery more effective
.
Surg Obes Relat Dis
.
2019
;
15
(
6
):
951
7
.
56.
Wild
B
,
Hünnemeyer
K
,
Sauer
H
,
Schellberg
D
,
Müller-Stich
BP
,
Königsrainer
A
.
Sustained effects of a psychoeducational group intervention following bariatric surgery: follow-up of the randomized controlled BaSE study
.
Surg Obes Relat Dis
.
2017
;
13
(
9
):
1612
8
.
57.
von Hippel
PT
.
The heterogeneity statistic I2 can be biased in small meta-analyses
.
BMC Med Res Methodol
.
2015
;
15
(
1
):
35
.