Evidence map›Paper›PMID 42284089›Full record

ArticleJMIR research protocols2026

Evaluation of the TiaoShenZhiAi Regimen for Patients With Ovarian Cancer Experiencing a Psychoneurological Symptom Cluster: Protocol for a Multicenter, Double-Blind, Randomized Controlled Trial.

Ze Liu, Jialiang Yao, Xinyi Lu, Yun Yang, Bin Luo, Yanhong Wang, Xi Cheng, Wei Jiang, Guowang Yang, Jing Xiao and 2 more

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ze Liu *Clinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0009-0009-8929-7608
Jialiang Yao *Clinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0000-0002-5563-8007
Xinyi LuClinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0009-0006-4545-9247
Yun YangClinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0009-0000-4098-8496
Bin LuoClinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0000-0001-9864-4004
Yanhong WangClinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0009-0004-0992-635X
Xi ChengGynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, Shanghai, China.ORCID 0009-0002-6761-7569
Wei JiangDepartment of Gynecologic Oncology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, Shanghai, China.ORCID 0009-0005-9656-9262
Guowang YangDepartment of Oncology, Beijing Hospital of Traditional Chinese Medicine, Beijing, Beijing, China.ORCID 0009-0006-1492-7001
Jing XiaoDepartment of Gynecology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, China.ORCID 0000-0002-0927-2323
Jiuda ZhaoBreast Disease Diagnosis and Treatment Center, Qinghai University Affiliated Hospital, Xi'ning, Qinghai, China.ORCID 0000-0002-1266-8943
Jianhui TianClinical Cancer Center, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274, Zhijiang Middle Road, Jing'an District, Shanghai, 200071, China, +86 13761351319.ORCID 0000-0003-1577-9179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psychoneurological symptom clusters (PNSCs) are common in patients with ovarian cancer and are associated with reduced quality of life, treatment interruption, and poor prognosis. However, effective interventions for PNSCs remain limited. Traditional Chinese medicine may provide comprehensive benefits for symptom management. Objective: This study aims to evaluate the efficacy and safety of the TiaoShenZhiAi (TSZA) regimen in alleviating PNSCs in patients with ovarian cancer and to assess its effects on quality of life and survival outcomes. Methods: A total of 316 patients with ovarian cancer aged 18 to 70 years with PNSCs will be included and randomly divided into 2 parallel groups. Both groups will receive standard treatment for ovarian cancer as the basic treatment. The intervention group will receive the TSZA regimen, that is, Compound Ciwujia Granules (containing Acanthopanax senticosus and Schisandra chinensis) combined with psychological intervention. The control group will receive a low-dose active control (simulated Compound Ciwujia Granules) combined with psychological intervention. The primary outcome is the remission rate of PNSCs at 3 months. The secondary outcome measures include the Pittsburgh Sleep Quality Index, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 scale, the revised Piper Fatigue Scale, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 Quality of Life Scale, the traditional Chinese medicine syndrome scale, sleep quality, sleep diary, and the 1-year survival analysis. In addition, this study also includes a series of exploratory indicators (including functional magnetic resonance imaging, biomarkers of peripheral blood and tumor tissue, proportion of immune cells, cytokine levels, hypothalamic-pituitary-adrenal axis function, and immune gene expression analysis) and safety indicators (including vital signs, liver and kidney function, and electrocardiogram). The study outcomes will be evaluated based on different indicators during the treatment period (baseline and the 1st, 2nd, and 3rd mo of enrollment) and the follow-up period (the 6th, 9th, and 12th mo of enrollment). Data analysis will be conducted using R (version 4.5.3) software. A one-sided P value of <.03 will be considered statistically significant. Results: This study is designed to enroll a total of 316 participants. Participant enrollment is set to commence in October 2025, with no recruitment having occurred as of April 2026. The recruitment period will extend until September 2028 or until the target enrollment is met. Data analysis is scheduled for November 2028, with submission of the trial results to a peer-reviewed journal anticipated by May 2029. Conclusions: This study will evaluate the efficacy of the TSZA regimen in managing PNSCs in patients with ovarian cancer and generate clinical evidence for a new therapeutic option that improves quality of life and alleviates the symptom burden.

Indexed as

Drugs, Chinese HerbalOvarian NeoplasmsAdolescentAdultAgedDouble-Blind MethodFemaleHumansMedicine, Chinese TraditionalMiddle AgedMulticenter Studies as TopicQuality of LifeRandomized Controlled Trials as TopicYoung AdultDrugs, Chinese Herbalclinical trial protocolovarian cancerpsychoneurological symptom clusterrandomized controlled trialTiaoShenZhiAitraditional Chinese medicineTSZA regimen

Identifiers

PMID42284089
PMCPMC13266004

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.