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      Retrospective study on the trajectories of lower limb volume after outpatient-based complex decongestive therapy in post-operative gynecological cancer patients with lymphedema

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          Abstract

          Purpose

          To determine the effect of outpatient-based complex decongestive therapy in patients with secondary lower limb lymphedema (LLL) after gynecologic cancer surgery using group-based trajectory modeling (GBTM), and to examine factors predictive of the treatment course.

          Methods

          This retrospective study included participants who underwent surgery for gynecological cancer with pelvic lymph node dissection and subsequently visited the outpatient clinic for the treatment of stage II LLL according to the International Society of Lymphology. The improvement rate of edema at the initial visit and 3, 6, and 12 months later was assessed by calculating the volume of the lower extremity using the circumferential method. For evaluation of the patterns of treatment course, logistic regression analysis was performed after group estimation by the trend of the treatment course using GBTM.

          Results

          A total of 148 women (mean age 60.6 years (standard deviation: 13.4 years)) were analyzed. Three improvement trajectories were identified: (1) no response group, with worsening rather than improvement ( n = 26); (2) moderate response group, with a slow improvement rate ( n = 89); and (3) high response group, with a high improvement rate ( n = 33). In addition, adherence to compression therapy at 3 months post-intervention was found to be a predictor in the no response group.

          Conclusions

          GBTM estimated that there are three patterns of the treatment course in patients with LLL after gynecologic cancer surgery. Adherence to compression therapy at 3 months post-intervention is a predictor of the treatment effectiveness.

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          Most cited references26

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          A Test of Missing Completely at Random for Multivariate Data with Missing Values

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            Group-based trajectory modeling in clinical research.

            Group-based trajectory models are increasingly being applied in clinical research to map the developmental course of symptoms and assess heterogeneity in response to clinical interventions. In this review, we provide a nontechnical overview of group-based trajectory and growth mixture modeling alongside a sampling of how these models have been applied in clinical research. We discuss the challenges associated with the application of both types of group-based models and propose a set of preliminary guidelines for applied researchers to follow when reporting model results. Future directions in group-based modeling applications are discussed, including the use of trajectory models to facilitate causal inference when random assignment to treatment condition is not possible.
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              Group-Based Modeling of Development

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                Author and article information

                Contributors
                cxa01423@nifty.com
                Journal
                Support Care Cancer
                Support Care Cancer
                Supportive Care in Cancer
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0941-4355
                1433-7339
                6 May 2023
                6 May 2023
                2023
                : 31
                : 6
                : 318
                Affiliations
                [1 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Department of Rehabilitation Medicine, , Keio University Graduate School of Medicine, ; Shinjuku, Tokyo, Japan
                [2 ]GRID grid.497282.2, Department of Rehabilitation Medicine, , National Cancer Center Hospital East, ; Kashiwa, Chiba Japan
                [3 ]GRID grid.26091.3c, ISNI 0000 0004 1936 9959, Department of Neuropsychiatry, , Keio University School of Medicine, ; Shinjuku, Tokyo, Japan
                [4 ]Department of Rehabilitation, Tsurumaki-Onsen Hospital, Hadano, Kanagawa Japan
                [5 ]GRID grid.26091.3c, ISNI 0000 0004 1936 9959, Department of Rehabilitation Medicine, , Keio University School of Medicine, ; 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 Japan
                [6 ]GRID grid.412096.8, ISNI 0000 0001 0633 2119, Lymphedema Treatment Center at, , Keio University Hospital, ; Shinjuku, Tokyo, Japan
                Article
                7783
                10.1007/s00520-023-07783-7
                10164007
                37148389
                245cf422-1bd6-4ec8-8fbc-705a6dbfee66
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 December 2022
                : 26 April 2023
                Funding
                Funded by: the Japan Society for the Promotion of Science KAKENHI
                Award ID: JP20K11192
                Award Recipient :
                Categories
                Research
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2023

                Oncology & Radiotherapy
                rehabilitation,group-based trajectory modeling,cancer survivors,outpatient

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