Selecting between pharmacotherapy and bariatric surgery in East Asia

IF 3.6 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Journal of Diabetes Investigation Pub Date : 2026-10-01 Epub Date: 2026-08-24 DOI:10.1111/jdi.70428
Yamato Keidai, Junji Fujikura, Hiroto Minamino, Kohei Takesue, Daisuke Yabe
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At 1 year, the adjusted probabilities of achieving the primary composite outcome of ≥20% weight loss and an HbA1c level below 5.7% were 3.0%, 13.2%, and 24.0% with semaglutide, tirzepatide, and sleeve gastrectomy, respectively<span><sup>1</sup></span>. This study provides an important foundation for reconsidering how obesity treatments should be compared and selected in contemporary clinical practice.</p><p>These findings should not be interpreted as establishing a universal hierarchy of obesity treatments. Treatment assignment was not randomized, and patients who underwent surgery were younger, had a higher BMI, and had a lower baseline HbA1c level than those receiving pharmacotherapy. Moreover, when the weight-loss threshold was lowered from 20% to 10%, the relative ranking of tirzepatide and surgery for the composite outcome was reversed. These observations illustrate that the relative effectiveness of obesity treatments depends both on patient characteristics and the outcomes used to define treatment success. This perspective is particularly relevant to East Asia, where differences in obesity phenotype and clinical priorities may influence how pharmacotherapy and MBS should be compared and selected.</p><p>The relationship between BMI and obesity-related disease differs substantially between East Asian and European-ancestry populations. At the same BMI, East Asians generally exhibit greater visceral and ectopic fat accumulation than individuals of European ancestry<span><sup>2</sup></span>. Consequently, applying the same BMI threshold may identify patient populations with distinct patterns of body-fat distribution, metabolic risk, and obesity-related complications. Accordingly, patients who meet the same BMI criterion may represent biologically distinct obesity phenotypes, underscoring the need for caution when extrapolating comparative treatment data across populations.</p><p>Direct comparisons of fat distribution and body composition between East Asian and European-ancestry populations are limited among individuals with severe obesity, such as those included in the study by Leslie <i>et al</i>.<span><sup>1</sup></span> (mean BMI, 43.0–47.6 kg/m<sup>2</sup>). Nevertheless, potential differences in obesity phenotype should be considered when extrapolating. Even when similar weight loss is achieved, its clinical significance may differ depending on whether the predominant abnormality is subcutaneous fat accumulation or visceral and ectopic fat accumulation. These considerations underscore that obesity treatments should be evaluated not only by the magnitude of weight loss but also by changes in body composition and obesity-related complications.</p><p>The study by Leslie <i>et al</i>.<span><sup>1</sup></span> further highlights that the relative effectiveness of obesity treatments depends on the outcome being evaluated. Sleeve gastrectomy produced the greatest weight loss, whereas tirzepatide achieved the highest probability of achieving HbA1c &lt;5.7%. These findings underscore the importance of evaluating obesity treatments across multiple clinically relevant outcomes, including cardiovascular and kidney disease, heart failure, metabolic dysfunction-associated steatohepatitis (MASH), obstructive sleep apnea, and body composition, rather than focusing solely on weight loss. However, comparable evidence from East Asia remains limited across many of these outcomes, particularly studies directly comparing pharmacotherapy with MBS. Table 1 summarizes the current evidence and highlights priorities for future comparative research in East Asia.</p><p>Direct comparisons are beginning to emerge in East Asia. In a prospective, nonrandomized, single-center study from China, patients with a mean BMI of approximately 32 kg/m<sup>2</sup> chose sleeve gastrectomy or semaglutide through shared decision-making. At 12 months, total weight loss was 28.6% with surgery and 11.3% with semaglutide<span><sup>3</sup></span>. Although this study provides one of the first direct comparisons in an East Asian population, its implications for treatment selection remain limited. The primary outcomes focused on changes in body weight and BMI, without evaluating remission of obesity-related complications. Moreover, semaglutide was administered at a maximum maintenance dose of 1.5 mg once weekly for a planned treatment duration of only 24 weeks, after which most patients discontinued therapy. Consequently, the study provides limited insight into the comparative effectiveness of surgery versus long-term semaglutide treatment at the currently approved dose for obesity. Future comparative studies using contemporary treatment regimens should evaluate not only sustained weight loss but also obesity-related complications, body composition, and long-term treatment durability to better inform individualized treatment selection.</p><p>Treatment effects may also differ with respect to body composition. In a real-world cohort, both glucagon-like peptide-1 (GLP-1) receptor agonists and bariatric surgery reduced fat mass and fat-free mass, but the relative changes differed between treatments. At 12 months, the percentage reduction in fat-free mass from baseline was smaller in the GLP-1 receptor agonist group than in the surgery group; however, fat-free mass loss accounted for a greater proportion of total weight loss in the GLP-1 receptor agonist group. Surgery was associated with greater fat-mass loss and a larger increase in the fat-free mass-to-fat mass ratio<span><sup>5</sup></span>. However, causal inference is limited by the retrospective study design, baseline differences between treatment groups, use of bioelectrical impedance analysis, and uncertainty regarding drug dose and treatment persistence. Nevertheless, these findings suggest that treatments achieving similar weight loss may produce clinically meaningful differences in body composition, underscoring the need for comparative studies in East Asian populations that evaluate body composition alongside obesity-related complications rather than relying solely on the magnitude of weight loss.</p><p>Treatment effects may also vary across populations according to the outcome evaluated. Although glycemic control and weight reduction with GLP-1 receptor agonists have generally been comparable between Asian and White participants, an updated meta-analysis demonstrated a greater relative reduction in major adverse cardiovascular events among Asian participants than among White participants (HR 0.73 vs. 0.86)<span><sup>6</sup></span>. These observations indicate that treatment effects may differ across populations in an outcome-specific manner. However, because most studies aggregated diverse Asian populations, they do not permit conclusions specific to East Asia, highlighting the need for region-specific comparative evidence. Taken together, these observations reinforce the importance of evaluating obesity treatments according to both population characteristics and clinically relevant outcomes, rather than assuming that findings from one population can be directly generalized to another.</p><p>If obesity phenotypes differ across populations and treatment effects vary according to the outcomes evaluated, weight loss alone cannot determine the optimal treatment for an individual patient. Instead, treatment selection should begin by identifying each patient's obesity-related complications and therapeutic priorities, followed by balancing the expected benefits and risks of pharmacotherapy and MBS for those specific outcomes. This represents a shift from maximizing weight loss to matching treatment strategies with the outcomes that matter most to each individual patient.</p><p>Several clinical prediction models have been developed to predict diabetes remission or weight loss after MBS, whereas comparable pretreatment predictors for incretin-based therapies remain limited. More importantly, existing prediction tools are largely treatment- and outcome-specific, designed to estimate the likelihood of response to a given intervention rather than identifying the optimal intervention for an individual patient. Their performance and generalizability in East Asian populations also remain uncertain. Future prediction models will likely integrate clinical characteristics, fat distribution, body composition, biomarkers, genetic information, and other multi-omics data to support individualized treatment selection as well as outcome prediction. Ultimately, these models should guide individualized treatment selection according to each patient's disease phenotype and therapeutic priorities.</p><p>Treatment selection should not be viewed as a one-time choice between two alternatives. In clinical practice, patients may transition from pharmacotherapy to MBS, require adjunctive pharmacotherapy for residual obesity-related complications or weight regain after surgery, or undergo planned combination therapy. Leslie <i>et al</i>.<span><sup>1</sup></span> excluded patients who crossed over between treatments and therefore could not evaluate treatment transitions, sequencing, or combination strategies. Ultimately, personalized obesity care will require determining not only the most appropriate treatment but also the optimal timing, sequence, and combination of therapies for each patient.</p><p>The study by Leslie <i>et al</i>.<span><sup>1</sup></span> provides an important real-world comparison of contemporary obesity pharmacotherapy and MBS. Future studies from East Asia should build on this framework by directly comparing treatments in populations with similar baseline characteristics, follow-up durations, and clinically relevant outcomes, while accounting for differences from European-ancestry populations in fat distribution, body composition, age, BMI range, and patterns of obesity-related complications. Multidisciplinary centers providing integrated care spanning lifestyle intervention, pharmacotherapy, and surgery will be essential clinical and research platforms for developing individualized, longitudinal treatment strategies. Ultimately, obesity care should move beyond asking which treatment is best to asking which treatment is best for a given patient, at a given stage of disease, and for the clinical outcomes that matter most.</p><p>D.Y. received clinically commissioned/joint research grants from Nippon Boehringer Ingelheim, Tanabe Pharma, Kowa, and ARKRAY. D.Y. also received consulting or speaker fees from Sumitomo Pharma, Tanabe Pharma, Kowa, Nippon Boehringer Ingelheim, Novo Nordisk Pharma, and Eli Lilly Japan K.K. The other authors declare no conflict of interest.</p><p>Approval of the research protocol: N/A.</p><p>Informed consent: N/A.</p><p>Registry and the registration no. of the study/trial: N/A.</p><p>Animal studies: N/A.</p><p>Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.</p>","PeriodicalId":51250,"journal":{"name":"Journal of Diabetes Investigation","volume":"17 10","pages":"1662-1666"},"PeriodicalIF":3.6000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13502144/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Investigation","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jdi.70428","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

The emergence of highly effective incretin-based therapies has transformed the treatment landscape for obesity, raising an increasingly important clinical question: which patients should receive pharmacotherapy, and which should undergo metabolic and bariatric surgery (MBS)? Although therapeutic options have expanded substantially, direct comparisons within comparable patient populations remain limited. Leslie et al.1 addressed this question by comparing semaglutide, tirzepatide, and sleeve gastrectomy in a large real-world cohort of adults with type 2 diabetes and a body mass index (BMI) of at least 35 kg/m2. At 1 year, the adjusted probabilities of achieving the primary composite outcome of ≥20% weight loss and an HbA1c level below 5.7% were 3.0%, 13.2%, and 24.0% with semaglutide, tirzepatide, and sleeve gastrectomy, respectively1. This study provides an important foundation for reconsidering how obesity treatments should be compared and selected in contemporary clinical practice.

These findings should not be interpreted as establishing a universal hierarchy of obesity treatments. Treatment assignment was not randomized, and patients who underwent surgery were younger, had a higher BMI, and had a lower baseline HbA1c level than those receiving pharmacotherapy. Moreover, when the weight-loss threshold was lowered from 20% to 10%, the relative ranking of tirzepatide and surgery for the composite outcome was reversed. These observations illustrate that the relative effectiveness of obesity treatments depends both on patient characteristics and the outcomes used to define treatment success. This perspective is particularly relevant to East Asia, where differences in obesity phenotype and clinical priorities may influence how pharmacotherapy and MBS should be compared and selected.

The relationship between BMI and obesity-related disease differs substantially between East Asian and European-ancestry populations. At the same BMI, East Asians generally exhibit greater visceral and ectopic fat accumulation than individuals of European ancestry2. Consequently, applying the same BMI threshold may identify patient populations with distinct patterns of body-fat distribution, metabolic risk, and obesity-related complications. Accordingly, patients who meet the same BMI criterion may represent biologically distinct obesity phenotypes, underscoring the need for caution when extrapolating comparative treatment data across populations.

Direct comparisons of fat distribution and body composition between East Asian and European-ancestry populations are limited among individuals with severe obesity, such as those included in the study by Leslie et al.1 (mean BMI, 43.0–47.6 kg/m2). Nevertheless, potential differences in obesity phenotype should be considered when extrapolating. Even when similar weight loss is achieved, its clinical significance may differ depending on whether the predominant abnormality is subcutaneous fat accumulation or visceral and ectopic fat accumulation. These considerations underscore that obesity treatments should be evaluated not only by the magnitude of weight loss but also by changes in body composition and obesity-related complications.

The study by Leslie et al.1 further highlights that the relative effectiveness of obesity treatments depends on the outcome being evaluated. Sleeve gastrectomy produced the greatest weight loss, whereas tirzepatide achieved the highest probability of achieving HbA1c <5.7%. These findings underscore the importance of evaluating obesity treatments across multiple clinically relevant outcomes, including cardiovascular and kidney disease, heart failure, metabolic dysfunction-associated steatohepatitis (MASH), obstructive sleep apnea, and body composition, rather than focusing solely on weight loss. However, comparable evidence from East Asia remains limited across many of these outcomes, particularly studies directly comparing pharmacotherapy with MBS. Table 1 summarizes the current evidence and highlights priorities for future comparative research in East Asia.

Direct comparisons are beginning to emerge in East Asia. In a prospective, nonrandomized, single-center study from China, patients with a mean BMI of approximately 32 kg/m2 chose sleeve gastrectomy or semaglutide through shared decision-making. At 12 months, total weight loss was 28.6% with surgery and 11.3% with semaglutide3. Although this study provides one of the first direct comparisons in an East Asian population, its implications for treatment selection remain limited. The primary outcomes focused on changes in body weight and BMI, without evaluating remission of obesity-related complications. Moreover, semaglutide was administered at a maximum maintenance dose of 1.5 mg once weekly for a planned treatment duration of only 24 weeks, after which most patients discontinued therapy. Consequently, the study provides limited insight into the comparative effectiveness of surgery versus long-term semaglutide treatment at the currently approved dose for obesity. Future comparative studies using contemporary treatment regimens should evaluate not only sustained weight loss but also obesity-related complications, body composition, and long-term treatment durability to better inform individualized treatment selection.

Treatment effects may also differ with respect to body composition. In a real-world cohort, both glucagon-like peptide-1 (GLP-1) receptor agonists and bariatric surgery reduced fat mass and fat-free mass, but the relative changes differed between treatments. At 12 months, the percentage reduction in fat-free mass from baseline was smaller in the GLP-1 receptor agonist group than in the surgery group; however, fat-free mass loss accounted for a greater proportion of total weight loss in the GLP-1 receptor agonist group. Surgery was associated with greater fat-mass loss and a larger increase in the fat-free mass-to-fat mass ratio5. However, causal inference is limited by the retrospective study design, baseline differences between treatment groups, use of bioelectrical impedance analysis, and uncertainty regarding drug dose and treatment persistence. Nevertheless, these findings suggest that treatments achieving similar weight loss may produce clinically meaningful differences in body composition, underscoring the need for comparative studies in East Asian populations that evaluate body composition alongside obesity-related complications rather than relying solely on the magnitude of weight loss.

Treatment effects may also vary across populations according to the outcome evaluated. Although glycemic control and weight reduction with GLP-1 receptor agonists have generally been comparable between Asian and White participants, an updated meta-analysis demonstrated a greater relative reduction in major adverse cardiovascular events among Asian participants than among White participants (HR 0.73 vs. 0.86)6. These observations indicate that treatment effects may differ across populations in an outcome-specific manner. However, because most studies aggregated diverse Asian populations, they do not permit conclusions specific to East Asia, highlighting the need for region-specific comparative evidence. Taken together, these observations reinforce the importance of evaluating obesity treatments according to both population characteristics and clinically relevant outcomes, rather than assuming that findings from one population can be directly generalized to another.

If obesity phenotypes differ across populations and treatment effects vary according to the outcomes evaluated, weight loss alone cannot determine the optimal treatment for an individual patient. Instead, treatment selection should begin by identifying each patient's obesity-related complications and therapeutic priorities, followed by balancing the expected benefits and risks of pharmacotherapy and MBS for those specific outcomes. This represents a shift from maximizing weight loss to matching treatment strategies with the outcomes that matter most to each individual patient.

Several clinical prediction models have been developed to predict diabetes remission or weight loss after MBS, whereas comparable pretreatment predictors for incretin-based therapies remain limited. More importantly, existing prediction tools are largely treatment- and outcome-specific, designed to estimate the likelihood of response to a given intervention rather than identifying the optimal intervention for an individual patient. Their performance and generalizability in East Asian populations also remain uncertain. Future prediction models will likely integrate clinical characteristics, fat distribution, body composition, biomarkers, genetic information, and other multi-omics data to support individualized treatment selection as well as outcome prediction. Ultimately, these models should guide individualized treatment selection according to each patient's disease phenotype and therapeutic priorities.

Treatment selection should not be viewed as a one-time choice between two alternatives. In clinical practice, patients may transition from pharmacotherapy to MBS, require adjunctive pharmacotherapy for residual obesity-related complications or weight regain after surgery, or undergo planned combination therapy. Leslie et al.1 excluded patients who crossed over between treatments and therefore could not evaluate treatment transitions, sequencing, or combination strategies. Ultimately, personalized obesity care will require determining not only the most appropriate treatment but also the optimal timing, sequence, and combination of therapies for each patient.

The study by Leslie et al.1 provides an important real-world comparison of contemporary obesity pharmacotherapy and MBS. Future studies from East Asia should build on this framework by directly comparing treatments in populations with similar baseline characteristics, follow-up durations, and clinically relevant outcomes, while accounting for differences from European-ancestry populations in fat distribution, body composition, age, BMI range, and patterns of obesity-related complications. Multidisciplinary centers providing integrated care spanning lifestyle intervention, pharmacotherapy, and surgery will be essential clinical and research platforms for developing individualized, longitudinal treatment strategies. Ultimately, obesity care should move beyond asking which treatment is best to asking which treatment is best for a given patient, at a given stage of disease, and for the clinical outcomes that matter most.

D.Y. received clinically commissioned/joint research grants from Nippon Boehringer Ingelheim, Tanabe Pharma, Kowa, and ARKRAY. D.Y. also received consulting or speaker fees from Sumitomo Pharma, Tanabe Pharma, Kowa, Nippon Boehringer Ingelheim, Novo Nordisk Pharma, and Eli Lilly Japan K.K. The other authors declare no conflict of interest.

Approval of the research protocol: N/A.

Informed consent: N/A.

Registry and the registration no. of the study/trial: N/A.

Animal studies: N/A.

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

东亚地区药物治疗和减肥手术的选择。
高效的以肠促胰岛素为基础的治疗方法的出现改变了肥胖的治疗前景,提出了一个日益重要的临床问题:哪些患者应该接受药物治疗,哪些患者应该接受代谢和减肥手术(MBS)?虽然治疗选择已经大大扩大,但在可比患者群体中的直接比较仍然有限。Leslie et al.1通过比较西马鲁肽、替西帕肽和袖式胃切除术对体重指数(BMI)至少为35 kg/m2的成人2型糖尿病患者的影响,解决了这个问题。1年后,西马鲁肽、替西帕肽和袖式胃切除术达到≥20%体重减轻和HbA1c水平低于5.7%的主要综合结果的调整概率分别为3.0%、13.2%和24.0% 1。本研究为在当代临床实践中重新思考如何比较和选择肥胖治疗方法提供了重要的基础。这些发现不应该被解释为建立一个普遍的肥胖治疗等级。治疗分配不是随机的,接受手术的患者比接受药物治疗的患者更年轻,BMI更高,基线HbA1c水平更低。此外,当减重阈值从20%降低到10%时,替西帕肽和手术对复合结果的相对排名相反。这些观察结果表明,肥胖治疗的相对有效性取决于患者特征和用于定义治疗成功的结果。这一观点与东亚特别相关,在东亚,肥胖表型和临床优先级的差异可能会影响药物治疗和MBS的比较和选择。体质指数与肥胖相关疾病之间的关系在东亚和欧洲血统人群中存在很大差异。在相同的体重指数下,东亚人通常比欧洲血统的人表现出更大的内脏和异位脂肪堆积。因此,应用相同的BMI阈值可以识别出具有不同体脂分布、代谢风险和肥胖相关并发症模式的患者群体。因此,符合相同BMI标准的患者可能代表生物学上不同的肥胖表型,强调在跨人群推断比较治疗数据时需要谨慎。东亚和欧洲血统人群之间的脂肪分布和身体组成的直接比较在严重肥胖个体中是有限的,例如Leslie等人的研究中包括的个体1(平均BMI为40.3 - 47.6 kg/m2)。然而,在推断时应考虑肥胖表型的潜在差异。即使达到类似的体重减轻,其临床意义也可能因主要异常是皮下脂肪堆积还是内脏和异位脂肪堆积而有所不同。这些考虑强调,评估肥胖治疗不仅要看体重减轻的程度,还要看身体成分的变化和肥胖相关的并发症。Leslie等人的研究进一步强调了肥胖治疗的相对有效性取决于被评估的结果。套筒胃切除术的减重效果最大,而替西帕肽达到HbA1c的概率最高,为5.7%。这些发现强调了从多种临床相关结果评估肥胖治疗的重要性,包括心血管和肾脏疾病、心力衰竭、代谢功能障碍相关脂肪性肝炎(MASH)、阻塞性睡眠呼吸暂停和身体组成,而不是仅仅关注体重减轻。然而,来自东亚的可比较证据仍然有限,特别是直接比较药物治疗与MBS的研究。表1总结了目前的证据,并强调了未来东亚比较研究的重点。东亚开始出现直接的比较。在一项来自中国的前瞻性、非随机、单中心研究中,平均BMI约为32 kg/m2的患者通过共同决策选择袖式胃切除术或semaglutide。在12个月时,手术组的总体重减轻了28.6%,而semaglutide组的总体重减轻了11.3%。虽然这项研究首次在东亚人群中进行了直接比较,但其对治疗选择的影响仍然有限。主要结局集中在体重和BMI的变化,没有评估肥胖相关并发症的缓解。此外,西马鲁肽的最大维持剂量为1.5 mg,每周一次,计划治疗持续时间仅为24周,之后大多数患者停止治疗。 因此,该研究对手术与目前批准剂量的长期西马鲁肽治疗肥胖症的比较有效性提供了有限的见解。未来使用当代治疗方案的比较研究不仅要评估持续的体重减轻,还要评估肥胖相关的并发症、身体成分和长期治疗的持久性,以便更好地为个性化治疗选择提供信息。治疗效果也可能因身体成分不同而不同。在现实世界的队列中,胰高血糖素样肽-1 (GLP-1)受体激动剂和减肥手术都能减少脂肪量和无脂肪量,但治疗之间的相对变化有所不同。在12个月时,GLP-1受体激动剂组的无脂质量较基线减少的百分比小于手术组;然而,在GLP-1受体激动剂组中,无脂肪体重减轻占总体重减轻的比例更大。手术与更大的脂肪量减少和更大的无脂质量与脂肪质量比的增加有关。然而,由于回顾性研究设计、治疗组之间的基线差异、生物电阻抗分析的使用以及药物剂量和治疗持久性的不确定性,因果推理受到限制。然而,这些研究结果表明,达到类似体重减轻的治疗可能会产生临床意义上的身体组成差异,强调需要在东亚人群中进行比较研究,以评估身体组成和肥胖相关并发症,而不是仅仅依赖于体重减轻的程度。根据评估的结果,治疗效果也可能因人群而异。虽然GLP-1受体激动剂的血糖控制和体重减轻在亚洲和白人参与者之间通常具有可比性,但一项最新的荟萃分析表明,亚洲参与者的主要不良心血管事件的相对减少程度高于白人参与者(HR 0.73 vs. 0.86)6。这些观察结果表明,治疗效果可能以结果特定的方式在人群中有所不同。然而,由于大多数研究集中了不同的亚洲人口,它们不能得出针对东亚的结论,这突出了需要针对特定区域的比较证据。综上所述,这些观察结果强调了根据人群特征和临床相关结果评估肥胖治疗的重要性,而不是假设一个人群的发现可以直接推广到另一个人群。如果肥胖表型在人群中不同,治疗效果根据评估的结果而变化,那么仅靠减肥不能确定个体患者的最佳治疗方法。相反,治疗选择应该首先确定每个患者的肥胖相关并发症和治疗重点,然后平衡药物治疗和MBS对这些特定结果的预期收益和风险。这代表了从最大限度地减轻体重到匹配治疗策略与每个患者最重要的结果的转变。已经开发了几种临床预测模型来预测MBS后糖尿病缓解或体重减轻,而基于肠促胰岛素的治疗的可比预处理预测仍然有限。更重要的是,现有的预测工具在很大程度上是针对治疗和结果的,旨在估计对给定干预措施的反应可能性,而不是为单个患者确定最佳干预措施。它们在东亚人群中的表现和普遍性仍不确定。未来的预测模型可能会整合临床特征、脂肪分布、身体组成、生物标志物、遗传信息和其他多组学数据,以支持个性化治疗选择和结果预测。最终,这些模型应该根据每个患者的疾病表型和治疗优先级来指导个性化的治疗选择。治疗选择不应被视为在两种备选方案之间的一次性选择。在临床实践中,患者可能会从药物治疗过渡到MBS,对于残留的肥胖相关并发症或术后体重恢复需要辅助药物治疗,或者进行计划的联合治疗。Leslie等人1排除了在不同治疗之间交叉的患者,因此无法评估治疗转换、顺序或联合策略。最终,个性化的肥胖护理不仅需要确定最合适的治疗方法,还需要确定每个患者的最佳治疗时间、顺序和组合。Leslie等人的研究1为当代肥胖药物治疗和MBS提供了一个重要的现实对比。 东亚地区的未来研究应以这一框架为基础,通过直接比较具有相似基线特征、随访时间和临床相关结果的人群的治疗,同时考虑欧洲血统人群在脂肪分布、身体组成、年龄、BMI范围和肥胖相关并发症模式方面的差异。提供生活方式干预、药物治疗和手术综合护理的多学科中心将成为发展个性化、纵向治疗策略的重要临床和研究平台。最终,肥胖护理应该超越询问哪种治疗方法是最好的,而是询问哪种治疗方法对特定患者、疾病的特定阶段以及最重要的临床结果是最好的。获得Nippon Boehringer Ingelheim, Tanabe Pharma, Kowa和ARKRAY的临床委托/联合研究资助。D.Y.还从住友制药、田边制药、和田制药、Nippon勃林格殷格翰、诺和诺德制药和礼来日本K.K.获得了咨询或演讲费。其他作者声明没有利益冲突。研究方案的批准:无。知情同意:无。注册表及注册编号研究/试验:无。动物研究:无。数据共享不适用于本文,因为在本研究中没有生成或分析数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Diabetes Investigation
Journal of Diabetes Investigation ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
9.40%
发文量
218
审稿时长
6-12 weeks
期刊介绍: Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).
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