A randomized controlled trial of cognitive behavioral therapy compared with diabetes education for diabetic peripheral neuropathic pain

Higgins, Diana M.; Heapy, Alicia; Buta, Eugenia; LaChappelle, K.; Serowik, Kristin L.; Czlapinski, Rebecca; Kerns, Robert D.

doi:10.1177/1359105320962262

Cited by 18 publications

(19 citation statements)

References 36 publications

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“…In recent 2 years, a large number of clinical studies had taken CBT as a management measure of different kinds of pain, including mixed unlocated chronic pain [ 7 – 18 ], back pain [ 19 , 20 ], low back pain [ 21 – 26 ], chronic pancreatitis [ 27 ], fibromyalgia [ 28 , 29 ], functional abdominal pain [ 30 ], trigeminal neuralgia [ 31 ], haemophilia pain [ 32 ], osteoarthritis pain [ 33 – 35 ], perioperative pain [ 36 – 39 ], orofacial pain [ 40 ], diabetic peripheral neuropathic pain [ 41 ], and provoked vestibulodynia [ 42 ]. Previous studies on structural changes in the brain of patients with chronic pain indicated the presence of neuroplasticity in areas associated with the experience and anticipation of pain [ 43 ].…”

Section: Structural and Functional Changes Of The Brain Due To Cbtmentioning

confidence: 99%

Neuroimaging Mechanism of Cognitive Behavioral Therapy in Pain Management

Bao

Qiao

et al. 2022

Pain Research and Management

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Purpose. To review the recent neuroimaging studies on cognitive-behavioral therapy (CBT) for pain management, with the aim of exploring possible mechanisms of CBT. Recent Findings. Current studies can be divided into four categories, mixed pain, fibromyalgia, migraine, and experimental pain, based on the type of disease included, with the same or different changes of brain regions after CBT intervention. According to structural and functional MRI analyses, changes of brain gray matter volume, activation and deactivation of brain regions, and intrinsic connectivity between brain regions were observed after CBT sessions. The brain regions involved mainly included some areas related to cognitive and emotional regulation. After comparison, the DLPFC, OFC, VLPFC, PCC and amygdala were found to be recurrent in multiple studies and may be key regions for CBT intervention in pain management. In the treatment of mixed chronic pain, CBT may decrease the gray matter volume of DLPFC, reduce ICN connection of OFC within the DAN network, and increase fALFF of the PCC. For FM intervention, CBT may activate the bilateral OFC and VLPFC, while in migraine, only the right OFC, VLPFC, and DLPFC were found to be more activated after CBT. In addition, the differential action of the left and right amygdala has also been shown in the latest study of migraine. In heat-evoked pain, CBT may increase the deactivation of the PCC, the connectivity between the DMN and right VLPFC, while diminishing the deactivation of VLPFC. Summary. After CBT, the brain showed stronger top-down pain control, cognitive reassessment, and altered perception of stimulus signals (chronic pain and repeated acute pain). The DLPFC, OFC, VLPFC, PCC, and amygdala may be the key brain regions in CBT intervention of pain.

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Section: Structural and Functional Changes Of The Brain Due To Cbtmentioning

confidence: 99%

Neuroimaging Mechanism of Cognitive Behavioral Therapy in Pain Management

Bao

Qiao

et al. 2022

Pain Research and Management

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“…Otis，2013 [20] 12 8 62.8 CBT treatment as usual / 4months ② Higgins，2020 [21] 24 23 62.3 CBT Education 12weeks 36weeks ② Evans，2003 [26] 12 21 46.5 CBT SPI 6weeks / ② Gale，2002 [18] 4 21 / CBT Nerve block 7weeks / Wetherell，2011 [19] 57 57 54.9 ACT CBT 4weeks 6months ② Hasenbring，1999 [27] 11 12 42.7 RCBT biofeedback / 18months ② Heutink，2012 [25] 24 30 39.5 CBT Waiting list control 3months 6months 纳入研究&发表时间例数(n) 年龄/岁干预措施治疗时间随访时间结局指标试验组对照组实验组对照组 Dehestani，2019 [28] 15 15 39.7 CBT Blank control 10weeks 19weeks 常国胜，2016 [30] 22 22 69.3 认知行为疗法暗示疗法 8周 6个月王平，2015 [31] 19 18 51.3 认知行为疗法睡眠卫生教育 5周 / 武绍远，2006 [29] 30 34 46.3 认知药物治疗药物治疗 / 2年 ③ 朱莲芳，2019 [23] 48 48 48.92 认知行为疗法常规干预 / 3个月杨亚娟，2015 [24] 40 41 49.4 认知行为疗法常规护理 1个月 / 冯丽娜，2019 [32] 100 100 49.9 认知行为疗法常规护理 / / ③ 刘振东，2011 [22]…”

Section: 3．文献筛选与资料提取unclassified

The Effect of Cognitive Behavioral Therapy on Neuropathic Pain: A Meta-analysis

Ding¹,

Anqin²,

Zhang³

et al. 2022

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Objective: A systematic review of the effectiveness of cognitive behavioral therapy (CBT) and traditional non-drug methods in the treatment of neuropathic pain and anxiety. Method: PubMed, Embase, Cochrane, PsycINFO, Wanfang Database (WANFANG), China Knowledge Network (CNKI), VIP (VIP) and China Biomedical Literature Database (CBM) were electronically searched from the establishment of the database to March 2021 to collect randomized controlled trials (RCT) of the treatment of neuropathic pain. Two researchers independently carried out literature screening, data extraction and methodological quality evaluation, and cross-checked, and used RevMan5.3 software for Meta analysis. Results: A total of 15 RCTs with 1274 subjects were included, including 606 cases in the CBT group and 668 cases in the traditional treatment group. Meta-analysis results show that, compared with traditional non-drug treatments, CBT can significantly reduce neuropathic pain scores (MD=-0.55, 95%CI=-0.81~-0.29), and improve patients' depression and anxiety (Baker Depression Scale), MD=-2.23, 95%CI=-3.84~-0.82; Hamilton Anxiety Scale, MD=-4.25, 95%CI=-6.20~-2.29). Conclusion: Current evidence shows that CBT has a good clinical effect on reducing neuropathic pain and improving patients' depression and anxiety. It can be used as a non-drug treatment for neuropathic pain in clinics, communities and families.

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“…First, the premise of the interpolation estimation of the Kriging sensor information is that the regional characteristic z is continuous, uniform, and unique. For any sensing information sampling point (x, y) in the area, the expectation c and the variance σ 2 are consistent [17,18]. For any sensing information sampling point, formulas (7) and ( 8) can be obtained:…”

Section: Sensing Information Kriging Interpolationmentioning

confidence: 99%

Construction of Teaching and Education Quality Improvement Model Based on Distributed Information Fusion

Zhang

2022

Mobile Information Systems

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Following the growth of educational informatization, the integrated adoption of the Internet in classroom teaching has facilitated the change of instructional pattern from the conventional instructional pattern to a novel information-based instructional pattern. Based on the background of “Internet+,” a variety of new information-based classroom teaching models have emerged. However, in practice, there are still many deficiencies due to the immature application of the model. This paper proposes to use the design-based research paradigm to construct and optimize the teaching mode, and to clarify the design principles of the teaching mode. This paper analyses and designs the English lesson instruction pattern in the distributed information convergence condition from five dimensions: theoretical foundation, online instructional setting, instructional targets, instructional events, and instructional assessment, which construct an instructional pattern. It adopts the method of combining quantitative research with qualitative research and combines the experimental method, questionnaire survey method, classroom observation method, and interview method to assist the research. Through the investigation of 122 valid data, it is shown that the overall amount of classroom codes before the experiment is 57, and the overall amount of classroom codes after the experiment is 150. There is a big difference between the two. It validates the effectiveness of the English lesson instruction pattern in distributed information integration terms in improving students’ English achievement, cooperative learning ability, information literacy, and problem-solving ability.

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A randomized controlled trial of cognitive behavioral therapy compared with diabetes education for diabetic peripheral neuropathic pain

Cited by 18 publications

References 36 publications

Neuroimaging Mechanism of Cognitive Behavioral Therapy in Pain Management

Neuroimaging Mechanism of Cognitive Behavioral Therapy in Pain Management

The Effect of Cognitive Behavioral Therapy on Neuropathic Pain: A Meta-analysis

Construction of Teaching and Education Quality Improvement Model Based on Distributed Information Fusion

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