ABSTRACT
There are a number of guidelines on how to manage obesity, but inconsistencies in healthcare access, varying infrastructure, resource constraints and diverse local practices restrict their global applicability. This underscores the need for universal recommendations that address the unique challenges faced by patients and healthcare providers worldwide. Our Global Guidelines emphasise the incorporation of novel therapies while integrating standards of care with the most up‐to‐date evidence to enable clinicians to optimise obesity management. Context‐specific recommendations tailored to individual patient needs are highlighted, providing a thorough evaluation of the risks, benefits and overall value of each therapy, aiming to establish a standard of care that improves patient outcomes and reduces the burden of hospitalisation in this susceptible population. These Global Guidelines provide evidence‐based recommendations that represent a group consensus considering the many other published guidelines that have reviewed many of the issues discussed here, but they also make new recommendations where new evidence has recently emerged, and—most importantly—also provide recommendations on several issues where resource limitations may put constraints on the care provided to patients living with obesity. Such ‘economic adjustment’ recommendations aim to guide situations when ‘Resources are somewhat limited’ or when ‘Resources are severely limited’. Hence, this document presents a comprehensive update to obesity management guidelines, thereby aiming to provide a unified strategy for the pharmacological, non‐pharmacological and invasive management of this significant global health challenge that is applicable to the needs of healthcare around the globe.
Keywords: CARDIO Alliance, cardiometabolic disease, guidelines, obesity
1. Preamble
The International CARDIO Alliance to Improve Disease Outcomes (iCARDIO Alliance: https://icardioalliance.org) aims to gather leading cardiovascular societies around the globe as partner organisations to improve the quality of cardiovascular care, from prevention and diagnosis to treatment and follow‐up. The goal of these global implementation guidelines is to achieve global representation in writing panels and to produce concise and practical guidelines applicable to all cardiovascular care worldwide. In addition to clinical practice guidelines (CPGs) developed by other medical associations, the recommendations by iCARDIO Alliance take into account resource availability on at least three economic levels (with no economic consideration; resources somewhat limited; resources severely limited). They are written by a team including world‐renowned experts with a maximum of 50% of the writing task force representing Europe and North America and 50% or more from the rest of the world. The peer review team is also made up of global experts further enriching these documents and leading to a final phase of public review open to all. Furthermore, we implement a public review process for all our guideline documents. In this way, the viewpoints of many persons with lived experience are embedded within this global implementation guideline process. All guideline documents are published in several journals and open access. Through this innovative approach, iCARDIO Alliance hopes to enhance guideline dissemination and implementation on a global scale.
2. Introduction
Obesity is a chronic, relapsing disease characterised by abnormal or excessive adipose tissue accumulation that impairs, amongst other consequences, physical, metabolic and psychosocial health. It is defined by the World Health Organization (WHO) as a body mass index (BMI) ≥ 30 or 27.5 kg/m2 for Asian populations [1]. It emerged as an epidemic in the United States in the late 1970s [2], before subsequently sweeping across the rest of the world [3]. Recently, there has been a growing debate on the potential limitations of the role of BMI in classifying obesity, as it tends to overestimate and underestimate adiposity, but more research is needed to define the best pragmatic ways to find people at most risk. In the near term, BMI will still be a very important—and in most cases—the leading parameter to assess the presence of obesity fast and simple. The term ‘clinical obesity’ refers to the presence of excess adiposity that is associated with functional impairment or increased risk of cardiometabolic, physical or psychological complications, regardless of BMI [4, 5]. Recent data from the Global Burden of Disease Study 2023 estimate that over 1 billion individuals globally are now living with obesity (504 million adult women, 374 million adult men and 159 million children and adolescents), reflecting a dramatic rise over the past three decades [6]. This staggering figure underscores the growing public health challenge posed by obesity across age groups and geographic regions. Cawley et al. [7] concluded that in the United States alone, the obesity‐related healthcare expenditure amounted to about $260 billion in 2016, constituting between 5% and 10% of overall healthcare‐related spending [8]. The economic impact of overweight and obesity in 2019 is estimated to be circa 2.2% of global gross domestic product, on average ranging from 20 USD per capita in Africa to 872 USD per capita in the Americas and from 6 USD in low‐income countries to 1110 USD in high‐income countries [9]. This underscores the importance of adequate recognition of approaches for early detection, lifestyle modification–based management, drug therapies and surgical modalities quintessential to dealing with the perils of the rapidly increasing prevalence of obesity.
The first comprehensive set of obesity‐related guidelines was published in 1998 by the National Heart, Lung, and Blood Institute (NHLBI) [7]. Since then, a diverse assortment of guidelines, principally from the developed world, has been published in the literature [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28]. However, heterogeneity in the population pool used for devising these recommendations leading to poor generalisability, varying complexities in healthcare infrastructure across institutions, a perceived lack of knowledge amongst providers and a limited availability of resources, especially prevalent in the developing world [29] has been recognised as considerable impediments in their universal adoption and application for obesity diagnosis and management.
The last few decades have recorded a rapid evolution in obesity management through a better understanding of the impact of lifestyle‐based interventions, advancements in therapeutic options and minimally invasive bariatric surgery options. The CPGs have failed to keep pace with this changing landscape of obesity management, underscoring the need for a new and up‐to‐date set of recommendations. In addition, a vast majority of the existing recommendations are derived from CPGs published in other disciplines that mention obesity only very briefly, underlining a paucity of comprehensive consensus statements on obesity management from international committees on obesity and cardio‐metabolic health. Finally, the prevalence of obesity is increasing in both high‐ and low‐middle‐income countries [30], highlighting the urgent need for successful adaptation of recommendations to be more relevant to and implementable in low‐income countries as a step towards curtailing the growth in the obesity epidemic.
Interventional randomised controlled trials (RCTs) over the past 2 years have shown that targeting obesity as an independent risk factor in both people with and without diabetes mitigates the risk of cardiovascular adverse events, including atherosclerotic cardiovascular disease (CVD), heart failure hospitalisations and chronic kidney disease, as well as MASH and obstructive sleep apnoea (OSA) [31, 32].
Hence, this statement aims to establish an up‐to‐date set of CPGs for diagnosing and treating obesity across a wide spectrum of healthcare settings, including both optimal treatment strategies, as well as alternative strategies in resource‐limited settings (in both developed countries and developing countries). These guidelines were drafted in consultation with experts, independent reviewers and members of the general public.
3. Methods
These consensus‐based CPGs for diagnosing and managing obesity were developed per the established methodology for best practices in guideline development. A systematic review of existing literature was conducted to establish a repository of published guideline documents and consensus statements, using the following search strategy: (obesity OR overweight OR "body mass index" OR BMI) AND (guideline OR "clinical practice guideline" OR "practice guideline" OR "consensus" OR "consensus statement"). After discussion amongst experts, the most relevant guidelines for each region were selected and their recommendations were compiled. Following this, redundant/similar recommendations were eliminated.
The remaining recommendations were reviewed by the committee, and over several iterations, outdated and non‐pertinent recommendations were eliminated. New recommendations were added based on emerging data that were not available when source guidelines were drafted. Based on the available evidence and consensus amongst the committee members regarding the risks and benefits of interventions, the recommendations were classified into four tiers: strongly recommended (SR), recommended (R), suggested (Su) and do not do (DND) (Table 1). Lastly, wherever relevant, alternative recommendations were added for low resource settings.
TABLE 1.
Grading and recommendation.

We acknowledge that there was uncertainty regarding whether to use the term ‘people with obesity’ or ‘patients with obesity’. In this document, we will mostly use ‘patients with obesity’, as this is more commonly used globally. To make the document more readable and concise, we decided not to reference each recommendation when the evidence is widely known and already repeatedly referenced in other guidelines. When recommendations were made, more recent published evidence was also taken into account, for instance regarding GLP‐1RA‐based therapies.
3.1. Diagnosis
BMI is the most widely used tool for diagnosing obesity. Due to its simplistic nature, it fails to provide a more granular estimate of total body composition, a key metric for calculating obesity‐associated cardiometabolic risk. Moreover, the interracial phenotypic variations in stature and body fat distribution are not accounted for by BMI [33]. Alternative measures of adiposity have been proposed, including waist circumference. A comprehensive account of obesity‐related diagnostic modalities is listed in Table 1.
3.2. Nonjudgmental Language
Individuals living with obesity experience discriminatory behaviours and scrutiny due to excess body weight, a phenomenon termed ‘weight stigma’ [34]. Research has shown that the internalisation of weight stigma is associated with significantly worse weight loss outcomes [35] secondary to a lack of confidence, anxiety, depression and a reduced sense of self‐esteem [36]. Healthcare workers should ascertain the extent of the patient's willingness to discuss weight management, ask open‐ended questions and use nonjudgmental language during patient encounters (e.g., replacing phrases such as ‘obese individuals’ or ‘morbid obesity’ with ‘individuals with obesity’ results in better discussion outcomes).
The 5As framework (ask, assess, advise, agree and assist) provides the foundation for initiating and conducting motivational interviewing for weight management in individuals living with obesity [37].
3.3. BMI and Anthropometric Measures
BMI, calculated as weight/height2 (reported in kg/m2), is a useful first‐line screening tool for identifying patients with obesity. The standard BMI cutoffs for overweight and obesity recommended by the WHO are 25–29.9 kg/m2 and ≥ 30.0 kg/m2, respectively. Despite its widespread adoption, BMI is limited in its ability to discern lean body mass from body fat, thus providing a poor estimation of the total body fat percentage—an important clinical marker for obesity‐related CVD risk prognosis [38]. BMI fails to adjust for age, sex and race‐based differences in body fat composition, especially in adults. Wang et al. demonstrated that Asians recorded higher total body fat percentages at lower BMI values than their Caucasian counterparts [39].
Anthropometric measurements, namely, higher waist circumference (males: ≥ 102 cm [40 in.]; females: ≥ 88 cm [35 in.] with lower cutoffs for Asian men [≥ 90 cm] and women [≥ 80 cm]) and higher waist‐to‐hip ratio (normal limits: < 0.90 for males; < 0.85 for females) [40], or higher waist‐to‐height ratio (≥ 0.50) [41, 42], indicate increased cardiometabolic risk. DEXA and computed tomography (CT) scans provide more comprehensive measures of body fat distribution. Combining BMI with anthropometric measures of central obesity, which have demonstrated superior sensitivity and specificity in CVD risk prognostication, allows for a more robust evaluation of obesity‐related complications. To date, however, BMI remains the primary obesity metric used in many countries, and more work is needed to determine if other measures can aid clinical practice and improve outcomes.
3.4. BMI Evaluation for Individuals of Asian Descent
For a given level of body fat, age and sex, individuals of Asian descent generally exhibit a lower BMI (by approximately 2–3 kg/m2) compared with their White counterparts, likely attributable to variations in body composition and muscularity, mandating the need for using different BMI cutoffs for this cohort for severity and risk estimation [43].
In 2004, a WHO Expert Consultation panel analysed metabolic risk data from Asian countries and recommended lowering BMI thresholds for public health interventions in Asian populations. They proposed defining BMI ranges of 23.0–27.5 kg/m2 as overweight and BMI ≥ 27.5 kg/m2 as obese for this subset [1]. However, it is important to acknowledge that different Asian countries may have established their own BMI cutoffs for the diagnosis of overweight and obesity based on local epidemiological data. Where such country‐specific thresholds exist, they should be used in place of the generalised WHO recommendations to ensure contextually appropriate risk stratification and intervention. Using the standard cutoffs in the United States, Asian Americans have low rates of overweight/obesity compared with the Non‐Hispanic White (NH‐White), African American and Hispanic ethnic groups, yet they suffer from a disproportionately high burden of type 2 diabetes and associated metabolic abnormalities despite normal body weight profiles [44].
3.5. Bioelectrical Impedance Analysis (BIA) for Body fat Estimation
BIA utilises impedance to electric conduction as a surrogate for estimating total body fat percentage and fat‐free mass [45]. The accuracy and precision of this approximation are affected by hydration status, body geometry and body water distribution [46].
The most accurate methods for estimating total body fat percentage are densitometry‐based modalities, namely, underwater plethysmography and DEXA scanning [47]. However, none of these more costly measures is ripe for widespread use.
4. Lifestyle Modifications
Lifestyle‐based interventions have until recently constituted the cornerstone of obesity management to improve health. It is an umbrella phrase encompassing a diverse array of non‐pharmacological interventions that involve inducing a sustained change in habits pertaining mainly to diet and physical activity for risk factor modification and improved survival outcomes. They are recommended as the first‐line treatment modality as a standalone therapy or in conjunction with pharmacological/surgical interventions [48]. Implementing high‐frequency counselling (≥ 16 sessions in 6 months) focusing on nutritional changes, physical activity and behavioural strategies can help achieve long‐term energy deficit goals. Our group's recommendations for lifestyle modification–based interventions targeted at weight loss and maintenance are listed in Tables 2 and 3.
TABLE 2.
Recommendations for the approach to diagnosing obesity.

TABLE 3.
Recommendations for lifestyle interventions for obesity management.

4.1. Dietary Interventions
Calorie restriction through dietary regulation can achieve a net‐negative energy balance required for triggering weight loss but may also be associated with increases in hunger. Energy intake reduction of 500–750 kcal per day can manifest in an initial weight loss of 0.5–1.0 kg (1.0–2.2 lbs) per week, or 2–3 kg (4.4–6.6 lbs) a month, not accounting for interpersonal variability [49]. Weight loss does not continue indefinitely despite continuous calorie restriction.
The Mediterranean diet (MD), inspired by traditional eating habits in Mediterranean countries, emphasises plant‐based foods (fruits, vegetables, legumes, whole grains, nuts and extra virgin olive oil), moderate intake of fish and dairy and limited consumption of red meat. It is deemed to be most effective at not only inducing weight loss [50] but also at maintaining a 5%–10% weight loss over prolonged periods, with or without physical activity [51]. Poulimeneas and colleagues recruited participants from the MedWeight study, and adherence to MD was assessed amongst them. The study reported that the participants adherent to the MD were two times more likely to maintain weight loss of 5%–10% than their non‐adherent counterparts [51].
The dietary approaches to stop hypertension (DASH) diet demonstrated efficacy in inducing and maintaining weight loss as well and recommended as one of the first‐line interventions for individuals with obesity suffering from hypertension. A meta‐analysis underscored an additional −1.4 kg weight loss amongst the cohort consuming the DASH diet over other low‐energy diets [52].
Intermittent fasting (IF) diets entail alternating between 12‐ and 20‐h long periods of fasting and unrestricted eating. The 16:8 method (fasting 16 h a day followed by an 8‐h eating window) and fasting for 24 h twice a week (the 5:2 method) are some of the most commonly adopted approaches for dieters practicing IF. In a meta‐analysis conducted by Almabruk and colleagues [53], the IF fasting group experienced weight reductions ranging from 2 to 6 kg, and BMI decreased between 1 and 4 kg/m2 over 1.5 and 6 months, respectively.
High‐protein (HP) diets include consuming ≥ 1.6 g of protein per kg of body weight or obtaining ≥ 25% of calories from protein [54].
Low‐fat (LF) diets prescribe deriving less than 30% of daily calorie requirements from fats. Evidence on using LF diets as a standalone therapy for weight loss is sparse. Astrup et al. [55] reported a mean weight loss of 3.2 kg (95% CI: 1.9–4.5 kg) in the LF diet group compared with the control in their meta‐analysis of 16 RCTs. On the contrary, the DIRECT trial [56] comparing low‐carbohydrate, Mediterranean and LF diets reported higher weight loss in the low‐carbohydrate and Mediterranean groups (−4.7 and −4.4 kg, respectively). The PREDIMED trial [57] demonstrated better cardiovascular outcomes in the group on the MD supplemented with extra‐virgin olive oil or nuts compared with the LF diet group.
Low‐carb diets (LCDs) and calorie‐restricted diets (CRDs): LCDs are further classified into very low, low, moderate or high‐carb diets based on per diem carbohydrate load (very low; 20–50 g/day, low; ≤ 130 g/day). Ketogenic diets are a type of very LCD. They work by depleting the body's glycogen stores to use fat stores as the primary source for energy production through the generation of ketones. Although effective at inducing weight loss and improving glycaemic control in diabetics, the LCDs have been linked to greater odds of cardiovascular morbidity and mortality [58]. Thus, they warrant caution and careful patient selection when identifying candidates for LCD‐based weight loss intervention.
CRDs are an effective recourse for achieving 5%–10% weight loss. Combined with increased proportions of protein and dairy intake, they may reduce body fat percentage, total cholesterol (TC) and low‐density lipoprotein cholesterol (LDL‐c) levels. However, statins remain the mainstay of pharmacologic therapy for lowering LDL‐c in patients with obesity due to their robust evidence in reducing atherosclerotic cardiovascular risk. Intermittent fasting has gained traction as a potent means for achieving calorie restriction. In a RCT, Sun and colleagues uncovered the synergistic weight loss effect achieved by combining LCDs with CRDs. Compared with those in the calorie‐restricted (CR) only group, participants in the LCD plus CR group lost 55% more BMI [59].
Wycherly et al. [60] performed a meta‐analysis of 95 studies, wherein they established modest decreases in body weight (−0.79 kg; 95% CI, −1.50 to −0.08) and body fat mass (−0.87 kg; 95% CI, −1.26 to −0.48 kg) in the group consuming HP diets in comparison with the LF, low‐carbohydrate, energy‐restricted standard protein diet group.
In conclusion, this consensus statement recognises that there is no universally superior dietary strategy for the management of obesity and that the average effects are modest. Rather, the optimal dietary approach is one that is tailored to the individual's preferences, cultural context and lifestyle and that supports long‐term adherence. Notably, the limited long‐term success of most diets is less often due to the specific macronutrient composition or structure of the diet itself, and more commonly attributable to challenges with sustained adherence over time.
4.2. Physical Activity
Physical activity constitutes the second most important lifestyle intervention directed at inducing a weight loss of 5%–10%. While diet remains the primary driver of weight loss, as most individuals do not achieve substantial or sustained weight reduction through exercise alone, physical activity, in particular resistance training, has been shown to build and preserve lean muscle mass despite energy restriction [61]. Fat‐free mass preservation has been shown to maintain a higher resting metabolic rate, improve strength and aerobic capacity, especially in older adults with obesity, and safeguard against sarcopenia [62]. The duration of exercise training and weight loss through visceral fat reduction exhibit a dose–response relationship [63]. Although there exists a great deal of heterogeneity in the literature with regard to the duration of physical activity per week, the general consensus is that for patients with obesity, ≥ 150 min of exercise training a week is associated with weight loss induction [11] and maintenance, in addition to heralding an improvement in cardiovascular outcomes in the long run, although a reduction in cardiovascular mortality has not been shown. According to the American College of Sports Medicine, 150–225 min and 225–400 min of aerobic exercise per week were associated with 2 to 3 kg and 5 to 7.5 kg of weight loss, respectively, although long‐term maintenance beyond 3 years remains a challenge [64].
Willis et al. [65] concluded that aerobic training demonstrated a more significant decrease in total body fat content than resistance training. They also demonstrated that combining resistance training with aerobic exercise did not lead to incremental weight loss.
It may be helpful to consider the metabolic equivalent of task (MET) values of common aerobic activities. For example, brisk walking typically ranges from 3.5 to 4.5 METs, cycling at a moderate pace yields 4 to 7 METs and jogging or running ranges from 7 to 12 METs, depending on speed and incline. These estimates can help clinicians recommend activity levels that align with the patient's capacity and goals.
Physical activity is a strong predictor of long‐term weight loss maintenance, independent of diet and caloric restriction. The National Weight Control Registry (NWCR) recommends 60 min of moderate‐intensity exercise per day for long‐term weight loss maintenance [66].
In an RCT conducted by Jakicic and colleagues [67], 275 min/week of physical activity when combined with restricted caloric intake was found to be associated with the highest odds of long‐term weight loss maintenance of 5%–10%.
5. Pharmacological Treatment
Recommendations pertaining to optimal pharmacotherapeutic interventions for obesity management are listed in Table 4 as well as in Figures 1 and 2.
TABLE 4.
Recommendations for pharmacological interventions for weight loss.

FIGURE 1.

Treatment principles for obesity.
FIGURE 2.

Weight loss medication recommendation chart for obesity in adults. Note: The format of this figure was informed by a table from the Pharmacotherapy for obesity management in adults: 2025 Clinical Practice Guideline (CMAJ, 2025), as referenced in Acknowledgements.
5.1. Glucagon‐like Peptide (GLP)‐1 Receptor and Dual Agonists
In the last decade, incretin‐based medications with high efficiency of weight loss have emerged. These include liraglutide, semaglutide and tirzepatide. They act on GLP‐1 receptors in the pancreatic β‐cells, increasing intracellular cyclic AMP (cAMP) and triggering endogenous insulin release and appetite suppression. Tirzepatide is a dual GLP‐1RA/glucose‐dependent insulinotropic polypeptide (GIP) agonist that works by modulating insulin release and increasing adiponectin levels.
5.2. Liraglutide
Liraglutide, a GLP‐1 receptor agonist (RA), is approved for chronic weight management in adults with a BMI of 30 kg/m2 or at least 27 kg/m2, if at least one weight‐related comorbid condition is present. Dosing begins at 0.6 mg daily for 1 week and is then titrated up weekly at 0.6 mg intervals until the recommended dose of 3 mg daily is reached. LEADER [68], Satiety and Clinical Adiposity‐Liraglutide Evidence in individuals with and without diabetes (SCALE) [69], SCALE Maintenance [70], SCALE Diabetes [71] and SCALE Sleep Apnea [72] were amongst the most prominent RCTs evaluating liraglutide's safety and efficacy profiles. A meta‐analysis [73] revealed that liraglutide produced a mean 5.2 kg placebo‐subtracted weight loss at 1 year, with 63% of participants achieving a ≥ 5% weight loss, inclusive of 34% of participants who lost ≥ 10% of initial weight. Weight loss of 7% was maintained for 3 years in the SCALE Prediabetes study [74].
The recent expiration of liraglutide's patent protection in multiple countries opens the door for generic versions, which may become a cost‐effective GLP‐1 RA option in resource‐limited settings. This could enable broader pharmacologic implementation, particularly in LMICs where newer agents like semaglutide and tirzepatide remain cost‐prohibitive.
5.3. Semaglutide
Semaglutide, another GLP‐1RA, works by upregulating the downstream effects of GLP‐1 receptor activation [75]. Once‐weekly subcutaneous semaglutide 1.0 mg was approved by the FDA in 2017 and the European Medicines Agency in 2018 for the treatment of type 2 diabetes [76]. In 2021, the FDA approved 2.4 mg once weekly semaglutide for treating obesity in adults. Ongoing trials of oral semaglutide may result in another option for the treatment of obesity, but at the time of publishing this guideline, oral semaglutide was not yet approved by any regulatory authorities, and hence, it cannot be recommended. Higher doses (7.2 mg) once weekly semaglutide may also become available in the near future, but they are not yet approved for use.
Semaglutide Treatment Effect in People with obesity (STEP) was the first global program to evaluate semaglutide 2.4 mg once weekly for weight management.
STEP 1 [77] was the first large‐scale, double‐blind, randomised controlled study to demonstrate that once‐weekly subcutaneous semaglutide 2.4 mg led to significant weight loss in nondiabetic adults with overweight or obesity. Participants receiving semaglutide lost an average of 14.9% of body weight, compared with 2.4% in the placebo group over 68 weeks.
STEP 2 [78] compared semaglutide 2.4 mg versus1.0 mg with placebo. The 2.4‐mg dose cohort had the highest 9.6% of baseline body weight loss compared with the 1.0‐mg group that experienced 7% of baseline body weight loss.
STEP 3 [79] showed that including intensive lifestyle therapy with semaglutide did not affect weight loss as the weight loss in the drug plus intensive lifestyle arm was 16%, the same as STEP 1, which did not have an intensive lifestyle component.
STEP 4 [80] revealed that discontinuing semaglutide resulted in weight regain, while continuing semaglutide beyond 20 weeks resulted in 16%–18% weight loss.
STEP 5 [81] was the first long‐term study that ran for 104 weeks and corroborated the findings of the previous studies and showed how increased duration of treatment resulted in maintenance of the 16% weight loss achieved at 1 year. No weight regain was observed when the medication was continued.
STEP 8 [82], a phase 3 trial, compared once‐weekly subcutaneous semaglutide (2.4 mg) with once‐daily liraglutide (3.0 mg) in adults with overweight or obesity without diabetes mellitus. Semaglutide resulted in significantly greater weight loss (−15.8%) compared with liraglutide (−6.4%). Semaglutide also showed higher odds of achieving ≥ 10%, ≥ 15% and ≥20% weight loss. Both treatments had similar rates of gastrointestinal adverse events.
In the STEP 9 [83] trial, semaglutide 2.4 mg administered once weekly resulted in significant improvements in knee pain, function and stiffness, as well as weight loss, in individuals with obesity and symptomatic knee osteoarthritis. These findings suggest that semaglutide may have added musculoskeletal benefits, particularly in patients for whom joint pain limits mobility or exercise tolerance.
The recently concluded STEP UP [84] trial compared weekly 7.2 mg semaglutide to 2.4 mg semaglutide and placebo in adults with obesity without diabetes mellitus. People treated with semaglutide 7.2 mg achieved a superior weight loss of 20.7% after 72 weeks compared with a reduction of 17.5% with semaglutide 2.4 mg and 2.4% with placebo. In addition, 33.2% of those who received semaglutide 7.2 mg achieved a weight loss of 25% or more after 72 weeks, compared with 16.7% with semaglutide 2.4 mg and 0.0% with placebo. In the STEP UP T2D [85] trial, results were largely confirmed in adults with obesity with diabetes mellitus using the same treatment approach. People treated with semaglutide 7.2 mg achieved a superior weight loss of 13.2% after 72 weeks compared with a reduction of 3.9% with placebo (p < 0.0001). In patients with semaglutide 2.4 mg, weight loss amounted to 10.4%.
In all these trials, weight losses were generally less in people with type 2 diabetes than without, though recent evidence suggests that weight losses are substantially greater in type 2 diabetes when HbA1c levels are lower [86]. The lower weight losses seen with weight loss therapies at higher HbA1c levels may be partly due to correction of unintentional weight losses due to glucosuria. In SURMOUNT‐2, weight losses in people with type 2 diabetes were similar to those in people without when HbA1c < 7.0% [87].
The SELECT study [88] showed weight maintenance for 4 years without any regain, provided the medication was continued. This is also the only RCT in patients with obesity without diabetes that has shown a reduction in major adverse cardiovascular events (MACE) when an intentional weight loss strategy was used [88].
5.3.1. Cardiovascular Studies With Semaglutide
The SELECT [88] trial was a large, randomised, placebo‐controlled cardiovascular outcomes trial (CVOT) that enrolled 17 604 patients with established atherosclerotic cardiovascular disease (ASCVD) and either obesity or overweight (BMI ≥ 27 kg/m2) but without diabetes. Over a mean follow‐up of 39.8 months, subcutaneous semaglutide 2.4 mg once weekly significantly reduced the incidence of MACE, a composite of cardiovascular death, nonfatal myocardial infarction or nonfatal stroke, by 20% compared with placebo (HR 0.80; 95% CI, 0.72–0.90; p < 0.001). Although hazard ratios for cardiovascular death (HR 0.85; 95% CI, 0.71–1.01) and the composite of cardiovascular death or heart failure events (HR 0.82; 95% CI, 0.71–0.96) favoured semaglutide, these endpoints did not meet the required significance thresholds in hierarchical testing.
STEP HFpEF [89] and STEP HFpEF DM [90] showed that treatment with semaglutide led to a reduction in heart failure events, NT‐proBNP and CRP levels, as well as an improvement in 6‐min walking distance (6MWD) and Kansas City Cardiomyopathy (KCCQ) scores in patients with confirmed HFpEF and the obesity phenotype, over 1 year, compared with placebo [91].
STRIDE [92], a phase 3b randomised placebo‐controlled trial studying the role of semaglutide in peripheral artery disease (PAD), reported that in patients with concomitant diabetes and PAD with intermittent claudication, semaglutide (1.0 mg weekly) significantly improved maximum walking distance at 52 weeks by a mean of 39.9 m versus placebo, a 13% greater median improvement from baseline (estimated treatment ratio: 1.13; 95% CI: 1.06–1.21; p = 0.0004). It also reduced the composite risk of rescue therapy or all‐cause death by 54% (HR 0.46; 95% CI: 0.24–0.85) and improved quality of life.
The ESSENCE trial [93] enrolled adults with metabolic dysfunction‐associated steatohepatitis (MASH) and moderate to advanced fibrosis (stages 2–3). Treatment with weekly semaglutide 2.4 mg for 72 weeks achieved resolution of steatohepatitis with no worsening of fibrosis in ~62.9% versus ~34.3% with placebo, and improvement in fibrosis with no worsening of steatohepatitis in ~36.8% versus ~22.4%. Patients also lost an average of ~10.5% of body weight versus ~2.0% with placebo, with a safety profile consistent with prior semaglutide obesity trials.
5.3.2. Tirzepatide
In the SURPASS 1–5 trials, which evaluated glycaemic lowering efficiency as a primary endpoint, different dosages of tirzepatide (5, 10 and 15 mg once weekly) demonstrated significant weight reduction as a secondary endpoint in patients with type 2 diabetes mellitus (T2DM), especially when compared with placebo (SURPASS 1) [94], semaglutide 1 mg (SURPASS 2) [95], insulin degludec as an add‐on to metformin with or without SGLT2 inhibitor (SURPASS 3) [96], insulin glargine (SURPASS 4) [97] and placebo + insulin glargine (SURPASS 5) [98]. The overall weight loss ranged from 7.6 kg, 10.7 kg, to 12.9 kg with tirzepatide 5, 10 and 15 mg, respectively.
The SURMOUNT 1–4 trials were specifically designed to evaluate the weight‐lowering effectiveness and safety of tirzepatide as an adjunct to lifestyle interventions compared with a placebo in patients with obesity, with or without T2DM.
SURMOUNT 1 [99] compared tirzepatide 5 mg versus 10 mg versus 15 mg versus placebo in patients without diabetes. At the end of 72 weeks, the 5‐, 10‐ and 15‐mg groups experienced a −15%, −19.5% and −20.9% weight reduction versus −3.1% in those receiving placebo. In the 3‐year extension of SURMOUNT‐1 amongst participants with prediabetes, mean weight reductions at 176 weeks were −12.3% with tirzepatide 5 mg, −18.7% with 10 mg and −19.7% with 15 mg, compared with −1.3% in the placebo group [100].
SURMOUNT 2 [87] included patients with concomitant obesity and type 2 diabetes mellitus. Tirzepatide 10 mg, 15 mg and placebo were compared for 72 weeks. The mean change in body weight at the end was −12.8%, −14.7% and −3.2%, respectively.
SURMOUNT 3 [101] patients were subjected to an intensive lifestyle intervention, and only those who lost ≥ 5% weight on it were randomised to either tirzepatide (10 or 15 mg) or placebo. Mean weight change at the end of 72 weeks was −18.4% for tirzepatide, while the group treated with the intensive lifestyle intervention and placebo had a weight increase of 2.5%.
SURMOUNT 4 [102] started as an open‐label trial. Participants experienced a 20.9% weight loss. Then, they were randomised. Those who switched to the placebo experienced a 14% weight gain, whereas those who continued with tirzepatide lost an additional 5.5% of their initial weight.
SURMOUNT 5 [103] trial demonstrated that maximally tolerated tirzepatide (10 mg or 15 mg once weekly) achieved significantly greater weight loss than maximally tolerated semaglutide (1.7 or 2.4 mg) over 72 weeks in adults with obesity or overweight and at least one comorbidity. Specifically, tirzepatide led to a 20.2% mean reduction in body weight versus 13.7% with semaglutide (p < 0.001), along with a greater mean decline in waist circumference (−18.4 cm vs. −13.0 cm).
For patients who plateau on GLP‐1 receptor agonists, switching to an alternative GLP‐1RA‐based drug could offer additional benefit in terms of weight loss. This statement reflects a consensus opinion based on available comparative trial data and clinical experience. However, it is important to note that no dedicated randomised ‘switch’ study currently exists to formally evaluate this strategy. Until further studies are available, such an approach should be considered cautiously, considering safety, patient preference and long‐term goals. Drug accessibility, safety and long‐term adherence remain additional critical factors in therapy selection.
SURMOUNT‐OSA [104] investigated the utility of tirzepatide in patients in two cohorts (Cohort 1 not using CPAP, Cohort 2 using CPAP) with OSA. They found that amongst persons with moderate‐to‐severe OSA and obesity, tirzepatide reduced the AHI, body weight, hypoxic burden, high‐sensitivity C‐reactive protein (hsCRP) concentration and systolic blood pressure and improved sleep‐related patient‐reported outcomes.
SYNERGY‐NASH [105] revealed that in patients with MASH and moderate or severe fibrosis, treatment with tirzepatide for 52 weeks was more effective than placebo with respect to the resolution of MASH without worsening of fibrosis.
5.3.3. Cardiovascular Studies With Tirzepatide
In the SUMMIT trial [106], weekly subcutaneous tirzepatide (up to 15 mg) was compared with placebo over 104 weeks in adults with obesity and heart failure with preserved ejection fraction (HFpEF; LVEF ≥ 50%). Tirzepatide reduced the risk of cardiovascular death or worsening heart failure events by 38% compared with placebo (HR 0.62; 95% CI, 0.41–0.95; p = 0.026) and improved patient‐reported symptom burden and quality of life. Mean Kansas City Cardiomyopathy Questionnaire Clinical Summary Scores increased by 19.5 points compared with 12.7 with placebo (mean difference 6.9; 95% CI, 3.3–10.6; p < 0.001). These findings support tirzepatide's emerging role as a potential disease‐modifying therapy for obesity‐related cardiovascular comorbidities.
In the SURPASS‐CVOT trial [107], in more than 13 000 patients with T2DM, weekly subcutaneous tirzepatide (up to 15 mg) as compared with weekly dulaglutide (1.5 mg) was non‐inferior for the rate of MACE (MACE‐3: hazard ratio 0.92, 95.3%CI: 0.83–1.01, p = 0.086) and was found to nominally lower all‐cause mortality by 16% (p = 0.002). At the time of publication, the trial had not yet been published.
5.4. Resource‐Limited Settings
Consider using biosimilar liraglutide, which is expected to be less expensive than semaglutide or tirzepatide in resource‐limited settings. Hopefully, in a few years, biosimilar semaglutide may become available, as well as multiple small‐molecule non‐peptide GLP‐1RAs currently in development, which may be easier to produce in a more scalable fashion, making them more affordable. Unfortunately, compounded products of GLP‐1RAs of unknown origin are being increasingly used as lower cost alternatives in some countries, despite a lack of data on manufacturing quality control and the absence of RCTs to properly assess their safety and efficacy.
The authors of this guideline recognise the need to address access to obesity medications in lower‐ and middle‐income countries. However, in many parts of the world, these incretin‐related compounded medications are either disallowed or illegal, or are subject to litigation in courts, as they are associated with significant safety and efficacy concerns. We cannot recommend the use of these compounded obesity medications but recognise the fact that they are a reflection of a serious call to the pharmaceutical industry to address the need to improve access and affordability to larger populations of the currently approved, properly tested obesity drugs.
5.5. Cost‐Effectiveness and Access Considerations in Pharmacologic Therapy
When selecting anti‐obesity pharmacologic agents, both efficacy and cost‐effectiveness must be considered. While GLP‐1RAs demonstrate the greatest weight loss benefits, they are also amongst the most expensive options, with annual costs significantly higher than agents like orlistat or phentermine/topiramate. Economic analyses suggest that for populations with established CVD or diabetes, semaglutide may be cost‐effective due to the associated reduction in adverse events. In contrast, orlistat and naltrexone/bupropion may offer more favourable cost–benefit profiles for primary obesity management in lower‐income settings. However, for orlistat and naltrexone/bupropion as well as for phentermine/topiramate, no cardiovascular outcome benefit has been documented.
Additionally, cold chain storage, injectable delivery routes and limited drug approvals in certain countries further constrain accessibility. Health systems should evaluate all these issues when selecting pharmacological interventions.
5.6. SGLT2 Inhibitors
SGLT2 inhibitors are not approved to treat obesity per se; that is, they are not drugs for treatment ‘of obesity’. However, they are very effective medicines for patients ‘with obesity’ and cardio‐renal‐metabolic disease. SGLT2 inhibitors work by blocking the re‐uptake of sodium and glucose in the proximal convoluted tubule—a mechanism that is thought to underlie its weight loss effects. Although they cause minimal weight loss and are not considered weight loss agents per se, they are very effective in improving outcomes in chronic conditions that commonly co‐exist with obesity, including heart failure and chronic kidney disease. Mazidi and colleagues [81], in their meta‐analysis of 43 RCTs evaluating the efficacy and safety profile of SGLT2 inhibitors in managing diabetes‐related comorbidities, reported a weighted mean difference of −1.8 kg (95% CI: −2.1 to −1.6 kg) between the SGLT2 inhibitor group and those receiving placebo. In a meta‐analysis of 15 RCTs, Usman and colleagues [108] demonstrated that SGLT2 inhibitors significantly reduced risks for HF‐related hospitalisation and cardiovascular mortality in patients with HF, type 2 diabetes, chronic kidney disease and atherosclerotic CVD.
5.7. Orlistat
Orlistat works by inhibiting the lipase‐mediated breakdown of fats, thus decreasing fatty uptake from the gut. One of the earliest investigations of Orlistat‐mediated weight loss was conducted by Zavoral [109], who performed a pooled analysis of data from five RCTs and reported that at the 1‐year mark, patients taking orlistat 120 mg thrice daily experienced significantly greater weight loss than those on a placebo, with an average reduction of 9.2% compared with 5.8% (p < 0.001). Additionally, a higher percentage of orlistat‐treated patients achieved weight loss of over 5% and over 10% of their initial body weight, compared with those on placebo (69.6% vs 51.9%; p < 0.001 and 42.1% vs 22.7%; p < 0.001, respectively). Since then, several RCTs [110, 111, 112] and prospective observational studies have detailed more comprehensive accounts of orlistat's efficacy in managing obesity and preventing the development of as well as treating its co‐morbidities, namely, dyslipidaemias, MASLD and diabetes.
5.8. Phentermine/Topiramate
Phentermine, an adrenergic stimulant, induces weight loss by appetite suppression. Although the exact mechanisms underlying Topiramate's role in inducing weight loss have not been elucidated, it is hypothesised to reduce total body fat content [113]. The EQUIP‐trial [114] showed a significant decrease in body weight (10.9% of baseline weight) in the group receiving phentermine/topiramate (15 mg/92 mg) when compared with matched controls receiving placebo (1.6% of baseline weight). Phentermine/topiramate is FDA approved for use as a weight loss regimen in the United States since 2012. It is also approved in more than 10 European countries; however, a Europe‐wide general approval of EMA has not been granted. This combination is contraindicated in patients with glaucoma and hyperthyroidism.
5.9. Naltrexone/Bupropion
Naltrexone/bupropion induces weight loss by increasing signalling from the pro‐opiomelanocortin (POMC) neurons in the hypothalamus, consequently decreasing appetite by blunting the hyperphagia pathways in the mesolimbic system [115]. The recommended dose for obesity treatment is a total of 32 mg naltrexone and 360 mg bupropion [116] The Contrave Obesity Research program encompasses a series of four RCTs (COR‐I [117], COR‐II [118], COR‐DM [119] and COR‐BMOD [120]) that form the central body of literature depicting the efficacy of the naltrexone/bupropion combination drug in obesity management. These phase III trials demonstrated that over approximately 56 weeks, naltrexone 32 mg/bupropion 360 mg plus lifestyle intervention led to mean weight loss of 8.1%–8.2% in COR‐I and COR‐II (vs 1.3%–1.7% with placebo), 3.7% in COR‐DM (vs 1.7%) and 9.3% in COR‐BMOD with intensive behavioural modification (vs 5.1%). A history of hypertension, depression, breastfeeding or active substance abuse precludes the use of naltrexone/bupropion [121].
5.10. Lisdexamfetamine
A stimulant medication used very rarely for treating obesity in children and adolescents with underlying eating disorders. It is primarily approved for ADHD and binge eating. To avoid adverse effects (e.g., significant weight gain in a small subgroup of patients), close follow‐up is needed when this treatment is applied.
5.11. The Future of Anti‐Obesity Drug‐Based Therapy
Several novel dual and triple agonists built on a GLP‐1RA backbone are in various stages of clinical trials. In the phase III REDEFINE 1 trial [122], weekly CagriSema (combination of amylin‐based cagrilintide and incretin‐based semaglutide) (2.4 mg each) produced a mean weight loss of 20.4% versus 3.0% with placebo at 68 weeks (difference −17.3 percentage points; p < 0.001). In fully adherent participants, weight loss reached 22.7%, with over 40% achieving ≥ 25% reduction in body weight. Orforglipron, a once‐daily oral nonpeptide GLP‐1RA, demonstrated a placebo‐adjusted weight reduction of up to 5.9% and HbA1c reduction of up to 1.07% over 40 weeks in the phase 3 ACHIEVE‐1 trial [123]. Novel drug therapies acting centrally (setmelanotide; melanocortin 4 [MC4] receptor activator, velneperit; neuropeptide Y antagonist, zonisamide‐bupropion; combination drug comprised of sodium and T‐type calcium channel blocker as well as norepinephrine‐dopamine reuptake inhibitor and cannabinoid type‐1 receptor blockers), and peripherally including amylin mimetics (davalintide), pramlintide‐metreleptin (amylin and leptin analogues working by slowing gastric emptying and inducing early satiety), beloranib (methionine aminopeptidase 2 inhibitors) and novel anti‐obesity vaccines (ghrelin, somatostatin, adenovirus36) are currently under investigation as emerging adjuncts in obesity pharmacotherapy [124].
6. Bariatric Surgery
Since its inception, circa 70 years ago [125], bariatric surgery has become an effective treatment option for patients with obesity, especially in the presence of complications such as diabetes mellitus, metabolic syndrome and metabolic dysfunction‐associated steatotic liver disease (MASLD). The BRAVE trial [126] randomised individuals with MASH to lifestyle modifications plus best medical care group or a bariatric surgery group. The trial concluded that bariatric‐metabolic surgery is more effective than lifestyle interventions and optimised medical therapy in the treatment of MASH.
Roux‐en‐Y gastric bypass, sleeve gastrectomy, endoscopic intragastric balloon (IGB), biliopancreatic diversion (BPD) and gastric banding are amongst the routinely offered options for patients considering undergoing bariatric surgery for achieving weight loss goals [11]. Recommendations pertaining to the use of bariatric surgery as a treatment modality for obesity are listed in Table 4.
6.1. Roux‐en‐Y Gastric Bypass
This is the most widely adopted technique for performing bariatric surgery owing to its superior safety and efficacy profile [127]. Mechanisms are complex—amongst other things, it induces weight loss by increasing signalling from the gut to the brain, including hampering ghrelin release, increasing satiety hormones, bile acids and altering the gut microbiota [128]. It should especially be considered in patients with BMI ≥ 30 kg/m2 (or higher) with diabetes mellitus, hypertension, hyperlipidaemia or other CVD risk factors (Table 5) [129].
TABLE 5.
Recommendations for using bariatric surgery for weight loss in obese individuals.

6.2. Sleeve Gastrectomy
Sleeve gastrectomy is effective and comparable to slightly worse for weight loss, in comparison with the Roux‐en‐Y bypass [130, 131], but with a greater risk of developing gastroesophageal reflux disease (GERD) and Barrett's oesophagus, and the irreversible nature of the procedure [130].
6.3. IGB and Banding
Abu Dayyeh et al. [132] conducted an RCT to demonstrate that, when used in conjunction with lifestyle interventions, adjustable IGB resulted in significant weight loss (15% in the aIGB group vs 3% in the control group; p < 0.0001), which maintained for 6 months following balloon removal. Most other studies suggested weight regain when the balloon is removed.
Gastric banding utilises a laparoscopic approach to modulate gastric filling. The overall weight loss effect is achieved by invoking the early satiety mechanisms. There are a number of well‐conducted RCTs showing the safety and superior efficacy of gastric banding in comparison to lifestyle changes. The only long‐term RCT comparing Roux‐en‐Y gastric bypass with gastric banding reported significantly superior weight loss outcomes for the former [133].
6.4. BPD With Duodenal Switch (BPD/DS)
The BPD/DS is another effective bariatric surgery procedure, characterised by a sleeve gastrectomy followed by gastroileal and ileoileal anastomoses [134]. In a longitudinal analysis of the weight loss effects of this procedure, Sorribas and colleagues reported 15%, 18% and 18% initial body weight loss at 2‐, 5‐ and 10‐year intervals [135]. In a meta‐analysis estimating the efficacy of bariatric surgery procedures, Buchwald et al. reported that the percentage of extra body weight lost (calculated as [preoperative BMI − current BMI)/(preoperative BMI − 25] × 100) at 2 years of follow‐up was the highest (73%) for the BPD/DS subgroup, followed by the gastric bypass (63%), gastroplasty (56%) and gastric banding (49%) subgroups [136].
7. Considerations Regarding Special Populations
7.1. Children and Young Adolescents
A forecasting study from the Global Burden of Disease Study 2021 [6] examined the prevalence, trends and future projections of overweight and obesity in children and adolescents across 180 countries from 1990 to 2021, with projections extending to 2050. The study reported that between 1990 and 2021, the global prevalence of overweight and obesity in youth doubled, while obesity alone tripled. In 2021, an estimated 93.1 million children (5–14 years) and 80.6 million adolescents (15–24 years) were living with obesity. The highest prevalence was noted in North Africa, the Middle East and parts of Oceania, with the greatest increases observed in Southeast Asia, East Asia and Oceania. By 2050, obesity rates are expected to rise further, particularly in South Asia, surpassing historical trends globally. Routine screening for overweight and obesity should begin at age 6 years, using BMI‐for‐age percentiles based on WHO or CDC growth charts. Earlier screening may be warranted in children with risk factors such as a family history of obesity, rapid weight gain in infancy, or comorbid conditions such as sleep‐disordered breathing or insulin resistance [137]. As with adults, effective weight management in children and adolescents requires more than dietary changes alone; it should include physical activity and psychosocial support, with dietary strategies tailored to the child's preferences, comorbidities, food restrictions and personal context as part of a comprehensive care plan [138].
School‐based interventions such as healthier meal offerings, physical activity programs and culturally relevant nutrition awareness talks can help foster healthier habits at a young age and prevent obesity, especially in resource‐limited settings with limited healthcare access.
Recent evidence supports the use of GLP‐1RAs in children and adolescents with obesity. In children aged 6 to < 12 years, liraglutide 3.0 mg daily reduced BMI by 7.3% at 52 weeks (vs 1.5% with placebo) [139]. Amongst adolescents, semaglutide 2.4 mg weekly achieved a 16.1% BMI reduction at 68 weeks (vs 0.6%) [140] and liraglutide 3.0 mg daily reduced BMI by 4.6% at 56 weeks (vs a 1.6% increase) [141]. These trials support the adjunctive use of GLP‐1RAs with lifestyle therapy in paediatric obesity (Table 6).
TABLE 6.
Recommendations for managing obesity in children and young adolescents.

8. Pregnant Females
The detrimental impact of gestational obesity on both maternal and foetal well‐being has been well documented in the literature, making adequate weight control both in the antenatal period and during pregnancy of paramount importance. A holistic approach consisting of nutritional support, physical activity guidance and supervision can optimise obesity management during pregnancy, improving health outcomes for both the foetus and the mother [138].
The detrimental impact of gestational obesity on both maternal and foetal well‐being has been well documented in the literature, making adequate weight control both in the antenatal period and during pregnancy of paramount importance. A holistic approach consisting of nutritional support, physical activity guidance and supervision can optimise obesity management during pregnancy, improving health outcomes for both the foetus and the mother. Balanced dietary intake in line with gestational calorie requirements remains key. Restrictive or very‐low‐calorie diets are strongly discouraged [142, 143, 144, 145]. Moderate‐intensity physical activity, such as brisk walking or swimming, is generally safe and encouraged in the absence of contraindications and has been shown to be associated with better outcomes [142, 146, 147]. Early screening for gestational diabetes should be offered to all pregnant individuals with obesity, with repeat testing at 24 to 28 weeks where appropriate [144, 148]. All obesity medications, including GLP‐1 receptor agonists of any kind, orlistat and phentermine/topiramate, are contraindicated during pregnancy, and women of reproductive age on such therapies should receive counselling on contraception and medication discontinuation if pregnancy occurs (Table 7) [143, 144, 148, 149].
TABLE 7.
Recommendations for managing obesity in pregnant females.

8.1. Obesity and Psychiatric Illnesses
Recommendations pertaining to interventions for obesity in patients with psychiatric illnesses are listed in Table 8.
TABLE 8.
Recommendations for managing obesity in individuals with depression and eating disorders.

9. Emerging Role of Artificial Intelligence in Obesity
Artificial intelligence and machine learning tools are being increasingly utilised due to their growing utility in detecting early obesity‐related comorbidity risks, creating individualised treatment plans and monitoring [150, 151]. The ability of machine‐learning (ML) algorithms to analyse large deposits of multimodal data abstracted from electronic health records (EHRs) enables the identification of patients at high risk and can even anticipate treatment response [150].
This can especially be useful in resource‐limited settings where targeted intervention in at‐risk patients can help alleviate the high obesity‐related comorbidity and mortality burden.
10. Conclusions
This global consensus document provides an integrated, evidence‐based framework for the diagnosis and management of obesity for implementation across diverse healthcare systems.
To ensure relevance across global contexts, the guidelines feature scalable interventions, including lifestyle and behavioural strategies, as well as flexible pathways for the incorporation of pharmacologic and surgical therapies where feasible. Recent therapeutic advances, such as GLP‐1 receptor agonists and dual GIP/GLP‐1 agents, hold substantial promise, but concerns around affordability, accessibility and regulatory status represent a major hurdle in global adoption of these therapies.
The writing committee offers feasible alternatives after taking into account the individual‐level variability in comorbidities, health status, cultural beliefs, healthcare access and adherence barriers and the social determinants of health. Clinical judgment forms the cornerstone of adapting recommendations to the circumstances of each patient, especially in resource‐constrained environments.
Ultimately, these guidelines aim not only to support evidence‐based practice but also to advance equity, feasibility and contextual sensitivity in obesity care across a wide range of health systems. Given the rapidly changing evidence base, we anticipate updating these guidelines within 2 years, with a focused update in between.
Conflicts of Interest
See Appendix.
Supporting information
Data S1: Supporting Information
Data S2: Supporting Information
Acknowledgements
The format of Figure 2 was informed by a table from the Pharmacotherapy for obesity management in adults: 2025 Adult Obesity Clinical Practice Guideline (CMAJ, 2025) [152]. The work towards this document is supported by the Translational Medicine Academy [153], as well as by the iCARDIO Alliance and the iCARDIO Alliance Partner Societies (https://icardioalliance.org/partnersocieties/).
Task Force Member Affiliations
Stefan D. Anker, Department of Cardiology (CVK) of German Heart Center Charité; German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin, Berlin, Germany; Linong Ji, Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China; Tammy Kindel, Medical College of Wisconsin, Milwaukee, WI, USA; Andrew Coats, Heart Research Institute, Sydney, Australia; Dike Ojji, Department of Internal Medicine, Faculty of Clinical Sciences, University of Abuja, Nigeria; Adriana Puente Barragán, Centro Medico Nacional 20 de Noviembre, ISSSTE, Mexico City, Mexico; Peter Rossing, Steno Diabetes Center Copenhagen; Department of Clinical Medicine, University of Copenhagen, Denmark; Shelley Zieroth, University of Manitoba, St. Boniface Hospital, Cardiac Sciences Manitoba, Canada; Shaaf Ahmad, Division of Cardiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Shariq Usman, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA; Geeta Appannah, Division of Nutrition, Dietetics and Food Science, School of Health Sciences, IMU University, Bukit Jalil, Kuala Lumpur, Malaysia; Centre for Transformative Nutrition and Health, Institute for Research, Development and Innovation (IRDI), IMU University, Bukit Jalil, Kuala Lumpur, Malaysia; Alison L. Bailey, Centennial Heart at Parkridge, Parkridge Medical Center, Chattanooga, TN, USA; Ahmed Bennis, Center of Cardiology, Ibn Rochd University Hospital, Casablanca, Morocco; Andrea Brandao, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil; Javed Butler, Department of Medicine, University of Mississippi Medical Centre, Jackson, MS; Baylor Scott and White Research Institute, Dallas, TX, USA; Melanie J Davies, Diabetes Research Centre, University of Leicester, UK; NIHR Leicester Biomedical Research Centre, Leicester, UK; Lubomira Fabryova, MetabolKLINIK sro; Department for Diabetes and Metabolic Disorders, Lipid Clinic, MED PED Centre, Biomedical Research Centre of Slovak Academy of Sciences, Slovak Medical University, Bratislava, Slovakia; Yuan‐Lin Guo, Cardiometabolic Medicine Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China; Hidetaka Itoh, Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Japan; Uday M. Jadhav, Consultant in Cardiology at the Department of Cardiology and Cardiac CT, MGM New Bombay Hospital, Mumbai, India; Carel W. Le Roux, Diabetes Complications Research Centre, University College Dublin, Ireland; Diabetes Research Centre, Ulster University, UK; Fausto J. Pinto, Centro Academico de Medicina de Lisboa, CCUL@RISE, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal; Julio Rosenstock, Velocity Clinical Research at Medical City, Dallas, TX, USA; Banshi Saboo, Diacare‐Diabetes Care and Hormone Clinic, Ahmedabad, India; Hani Sabbour, Cardiology Department, Mediclinic Airport Road Hospital, Abu Dhabi, United Arab Emirates; Mangesh Tiwaskar, Consultant Physician and Diabetologist, Shilpa Medical Research Centre, Mumbai, Maharashtra, India; Karol E. Watson, David Geffen School of Medicine at University of California, Los Angeles, CA, USA; Kwang Wei Tham, Department of Endocrinology, Woodlands Health, National Healthcare Group, Singapore; Fernando Stuardo Wyss, Guatemala Cardiovascular Services and Technology, Guatemala City, Guatemala.
Reviewer Affiliations
Walter P. Abhayaratna, School of Medicine and Psychology, The Australian National University, Canberra, Australia; William T. Abraham, Division of Cardiovascular Medicine and The Davis Heart and Vascular Research Institute, The Ohio State University (OSU) College of Medicine and OSU Wexner Medical Center, Columbus, OH, USA; Wael Al Mahmeed, Heart, Vascular and Thoracic Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates; Alessia Argirò, Cardiomyopathy Unit, University of Florence, Italy; John J. Atherton, Faculty of Medicine, University of Queensland; Cardiology Department, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, Australia; Danielle Belardo, Precision Preventive Cardiology, Los Angeles, CA, USA; Raquel Campuzano, Department of Cardiology, Alcorcon Foundation University Hospital, Madrid, Spain; Nandini Chatterjee, Department of Medicine, Institute of Post Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital, Kolkata, West Bengal, India; Marc‐André Cornier, Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA; Sarah Davies, GP Woodlands Medical Centre, Cardiff, Wales Primary Care lead for Diabetes, UK; Clemencia de Rueda Panadero, Department of Cardiology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Anastase Dzudie, Department of Internal Medicine and Subspecialties, Douala General Hospital, Douala, Cameroon; Ty J. Gluckman, Center for Cardiovascular Analytics, Research, and Data Science (CARDS), Providence Heart Institute, Providence Health System, Portland, Oregon, USA; Muhammad Shahzeb Khan, Baylor Scott and White Research Institute, Dallas, TX; Baylor Scott and White The Heart Hospital‐Plano, Plano, TX; Department of Medicine, Baylor College of Medicine, Temple, TX, USA; Kamlesh Khunti, Diabetes Research Centre, University of Leicester, Leicester, UK; Yuri Lopatin, Volgograd Medical University, Cardiology Centre, Volgograd, Russian Federation; Zhiyi Ma, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, China; Okechukwu S. Ogah, Cardiology Unit, Department of Medicine, University of Ibadan; University College Hospital, Ibadan, Nigeria; Abraham Oomman, Senior consultant cardiologist, Apollo Hospital, Chennai, India; Emilio S. Peralta Lopez, Instituto Nacional Cardiopulmonar, Tegucigalpa, Honduras; Ping Li, Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, China; Paul Poirier, Faculty of Pharmacy, Laval University; Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada; Julie Redfern, Institute for Evidence‐Based Healthcare, Bond University; Faculty of Medicine and Health, University of Sydney, Australia; Giuseppe M.C. Rosano, Department of Human Sciences and Promotion of Quality of Life, San Raffaele Open University of Rome, Rome, Italy; IRCCS San Raffaele, Rome, Italy; Donna Ryan, Pennington Biomedical Research Center, Baton Rouge, Louisiana USA; Amit Saraf, Department of Orthopaedics, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India; Sameh Shaheen, Faculty of Medicine, Ain‐Shams University, Cairo, Egypt; Subodh Verma, Division of Cardiovascular Surgery, St. Michael's Hospital and University of Toronto, ON, Canada; Stephan von Haehling, Department of Cardiology and Pneumology, University of Göttingen Medical Center, Göttingen; German Center for Cardiovascular Research (DZHK), Partner Site Lower Saxony, Germany; Martha Gulati, Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA; Naveed Sattar, School of Cardiovascular and Metabolic Health, University of Glasgow, UK; Jose Luis Zamorano, Cardiology Department, University Hospital Ramon y Cajal, Madrid, Spain.
Anker S. D., Ji L., Kindel T., et al., “iCARDIO Alliance Global Implementation Guidelines for the Management of Obesity 2025,” Journal of Cachexia, Sarcopenia and Muscle 17, no. 1 (2026): e70167, 10.1002/jcsm.70167.
All authors were either writing task force members or active guideline reviewers. The author affiliations are listed in the Acknowledgments section.
No commercial use of any part of this document, in any language, is allowed without written permission, which can be obtained upon submission of a written request to the Chief External Affairs and Education Officer of Translational Medicine Academy, which is the party authorised to handle such permissions on behalf of iCARDIO Alliance (Email: permissions@icardio.org).
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Data S2: Supporting Information
