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Clinical Evaluation of the Tiaoshen Anti-Cancer Regimen in Treating Psycho-Neurological Symptom Cluster in Ovarian Cancer

S

Shanghai Municipal Hospital of Traditional Chinese Medicine

Status

Not yet enrolling

Conditions

Cancer
Cancer Symptom Clusters

Treatments

Drug: Compound Ciwujia Granules
Combination Product: Standard treatment protocol for ovarian cancer combined with psychological intervention.
Drug: Placebo granules

Study type

Interventional

Funder types

Other

Identifiers

NCT07050563
2024ZD0521402

Details and patient eligibility

About

The academic community generally believes that cancer symptom clusters (CSCs) are not independent diseases, but a group of symptoms that accompany cancer patients. Based on etiology, they can be classified into CSCs related to tumor progression, CSCs related to cancer treatment, or a combination of both. According to symptom manifestations, they can be divided into psychological symptom CSCs, somatic symptom CSCs, and CSCs with coexisting psychological and somatic symptoms. CSCs are universally present during the progression or treatment of cancer. Traditional Chinese medicine (TCM) can leverage its unique characteristics in the intervention of symptom clusters and symptom management. This study is planned to conduct a high-level, prospective, multicenter, randomized, double-blind, placebo-controlled trial to evaluate the efficacy and safety of a TCM regimen for cancer symptom clusters (CSCs), and to simultaneously analyze the characteristics of the population that may benefit most from TCM treatment for CSCs.

Full description

Targeting ovarian cancer patients with psychoneurological symptom clusters, a multicenter, randomized, placebo-controlled, superiority clinical trial was conducted. On the basis of psychological intervention and conventional cancer treatment, the treatment group and the control group respectively received Compound Ciwujia Granules or a placebo. The intervention lasted for three months, with the alleviation of psychoneurological symptoms assessed before and after treatment in both groups.

The primary efficacy endpoint was the mean score of the subscale comprising sleep disturbance, fatigue, distress, and sadness from the Chinese version of the MD Anderson Symptom Inventory for Ovarian Cancer (MDASI-OC). Secondary efficacy endpoints included the EORTC QLQ-C30 quality of life scale, sleep quality assessment, and sleep diaries. Exploratory endpoints included the 1-year overall survival (OS) rate and progression-free survival (PFS) rate. Peripheral blood samples and tumor tissue specimens were collected to investigate common biological targets underlying the psychoneurological symptom cluster in ovarian cancer.

Enrollment

316 estimated patients

Sex

Female

Ages

18 to 70 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Histologically or cytologically confirmed primary epithelial ovarian cancer
  • Meet diagnostic criteria for chronic insomnia defined by the Sleep Disorders Group of the Neurology Branch of the Chinese Medical Association: Pittsburgh Sleep Quality Index (PSQI) total score >8 Piper Fatigue Scale total score >4 and Patient Health Questionnaire-9 (PHQ-9) total score >5
  • Moderate-to-severe symptom severity (average score ≥4 on the MD Anderson Symptom Inventory for Ovarian Cancer [MDASI-OC] subscale assessing sleep disturbance-fatigue-distress-sadness)
  • Eastern Cooperative Oncology Group Performance Status (ECOG-PS) score 0-2;
  • Age 18-70 years
  • Meeting TCM diagnostic criteria for spleen-kidney yang deficiency syndrome;
  • Expected survival >1 year
  • Signed informed consent form with voluntary acceptance of the treatment protocol and ability to independently complete sleep diaries

Exclusion criteria

  • Patients scheduled to undergo radiotherapy within the next 4 treatment cycles
  • Comorbid severe primary diseases of the heart, brain, liver, kidney, or hematopoietic system, including hepatic dysfunction (AST/ALT >1.5 times the upper limit of normal [ULN]) or renal impairment (serum creatinine [Cr] >1.2 times ULN)
  • Pregnant or lactating women, individuals with psychiatric disorders (e.g., schizophrenia, bipolar disorder, mania, depression, anxiety disorders, phobias), intellectual/language impairments, or other mental health conditions;
  • Scores ≥15 on the Patient Health Questionnaire (PHQ-9) for depression or ≥15 on the Generalized Anxiety Disorder-7 (GAD-7) at screening
  • Pre-existing chronic insomnia or depression diagnosed prior to ovarian cancer
  • Comorbid autoimmune diseases, hematologic disorders, or long-term use of corticosteroids/immunosuppressants
  • History of other primary malignancies
  • Participation in other clinical trials within 3 months
  • HIV-positive status, congenital/acquired immunodeficiency disorders, or history of organ transplantation (including autologous bone marrow or peripheral stem cell transplantation)
  • Legally incapacitated individuals, or cases with medical/ethical contraindications to study continuation
  • Active hepatitis B, active tuberculosis, or evidence of severe/uncontrolled systemic inflammatory conditions (e.g., unstable respiratory, cardiovascular, hepatic, or renal diseases)
  • Patients with diabetes

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Quadruple Blind

316 participants in 2 patient groups, including a placebo group

Intervention Group
Experimental group
Description:
Daily Compound Ciwujia granules+ standard treatment protocol for ovarian cancer+ psychological intervention
Treatment:
Combination Product: Standard treatment protocol for ovarian cancer combined with psychological intervention.
Drug: Compound Ciwujia Granules
Control group
Placebo Comparator group
Description:
Daily placebo granules + standard treatment protocol for ovarian cancer+ psychological intervention
Treatment:
Drug: Placebo granules
Combination Product: Standard treatment protocol for ovarian cancer combined with psychological intervention.

Trial contacts and locations

0

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Central trial contact

Ze Liu, Master; Jialiang Yao, Doctor

Data sourced from clinicaltrials.gov

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