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如果唯一的工具是锤子,那么每个问题看起来都像钉子——多样化来自原始研究的数据的分析方法,以更好地理解代谢和减重手术的有效性、结果和影响。

If the Only Tool is a Hammer, Every Problem Looks Like a Nail-Diversifying the Analytical Approaches of Data from Primary Research for Better Understanding of Effectiveness, Outcomes and Impacts of Metabolic and Bariatric Surgery.

作者信息

El Ansari Walid, El-Ansari Kareem, Hany Mohamed

机构信息

College of Medicine, Ajman University, Ajman, United Arab Emirates.

Faculty of Medicine, St. George's University, St. George's, Grenada.

出版信息

Obes Surg. 2025 Aug 15. doi: 10.1007/s11695-025-08120-z.

Abstract

BACKGROUND

There is a notable increase in metabolic and bariatric surgery (MBS) procedures, the numbers of patients treated, and volume of scientific articles published. However, it is not clear whether there is a parallel diversification in the analytic approaches employed in published MBS research. The current study appraised this point.

METHODS

Using the Obesity Surgery journal's website, we undertook a rapid scoping review of random recently published original quantitative primary research. The approaches used for data analyses were noted and categorized.

RESULTS

Three main approaches to data analyses were observed, but one approach was much more frequently used across the examined studies. Approach 1-used by most investigations, traditionally examined few or several individual risk factor/s and followed them up post-surgery, i.e., isolated indicators of effectiveness appraised cross-sectionally or longitudinally across timepoint/s, and compared to baseline values. Approach II-employed by much fewer studies, used cluster analysis, i.e., clusters of patients grouped together based on common characteristics or several risk factors considered concurrently (clinical quantitative traits), and appraised cross-sectionally or longitudinally in relation to outcomes. Approach III-again employed by much fewer studies, utilized "composite" indicators, i.e., several conjoined outcomes integrated together, or converted to risk, measured at mid or longer-term timepoint/s to represent impact.

CONCLUSIONS

Analytical approaches employed in quantitative primary bariatric research do not exhibit sufficient diversification. Some data analytical approaches can reach conceptual areas that other approaches cannot reach, to provide different clues to the evidence puzzle. Over-reliance on some analytic approaches can result in tackling MBS research problems in sub-optimal ways that are not always the most advantageous for the research questions being examined. Bariatric research teams need to be aware of the range of possible approaches, and to use the best tool/s subject to the problem being appraised and type of evidence sought. More analytic diversity of data of primary studies can enhance the developing MBS knowledge, provide different perspectives of the puzzle, and reduce "blind spots" in the MBS evidence base.

摘要

背景

代谢和减重手术(MBS)的手术数量、治疗患者数量以及发表的科学文章数量都显著增加。然而,目前尚不清楚已发表的MBS研究中所采用的分析方法是否也呈现出相应的多样化。本研究对这一点进行了评估。

方法

我们利用《肥胖外科》杂志网站,对近期发表的随机原始定量基础研究进行了快速的范围综述。记录并分类了所使用的数据分析方法。

结果

观察到三种主要的数据分析方法,但在所审查的研究中,有一种方法的使用频率要高得多。方法一:大多数研究采用这种方法,传统上只检查少数或几个个体风险因素,并在手术后对其进行随访,即对有效性的孤立指标进行横断面或纵向评估,并与基线值进行比较。方法二:采用该方法的研究较少,使用聚类分析,即根据共同特征或同时考虑的几个风险因素(临床定量特征)将患者分组,并对结果进行横断面或纵向评估。方法三:同样只有较少的研究采用,利用“综合”指标,即将几个联合结果整合在一起,或转换为风险,在中期或长期时间点进行测量以代表影响。

结论

定量基础减重研究中采用的分析方法没有表现出足够的多样性。一些数据分析方法可以触及其他方法无法触及的概念领域,为证据难题提供不同的线索。过度依赖某些分析方法可能导致以次优方式解决MBS研究问题,而这些方式并不总是对所研究的问题最有利。减重研究团队需要了解可能的方法范围,并根据被评估的问题和所寻求的证据类型使用最佳工具。基础研究数据的更多分析多样性可以增强正在发展的MBS知识,提供难题的不同视角,并减少MBS证据基础中的“盲点”。

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