CClinicalTrials.gg
Not yet recruitingNCT06901778Updated Apr 3, 2025

Application-Assisted Weight Management in Endometrial Cancer Fertility Preservation

An interventional study of DEAR weight management and Standardized discharge care plan and follow-up schedule in Endometrial Cancer, Mobile Applications and Weight Management, sponsored by Peking University People's Hospital. Not yet recruiting at 1 site in China. Open to female participants aged 18 Years to 60 Years. Per ClinicalTrials.gov, last updated 2025-04-03.

Sponsored by Peking University People's Hospital · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
106
Allocation
Randomized
Ages
18 Years to 60 Years
Sex
Female
01

Study summary

This study is a single-center, prospective, randomized controlled trial targeting endometrial cancer (EC) patients undergoing fertility-sparing treatment at Peking University People's Hospital from March 2025 to March 2027. The aim is to evaluate the efficacy of an intelligent mobile application (APP) based on the Adaptive Behavioral Intervention (ABI) framework in weight management for obese or overweight endometrial cancer patients receiving fertility preservation therapy. Additionally, the study seeks to explore its potential advantages in improving body mass index (BMI), tumor regression, and glucose and lipid metabolism profiles.

Read the detailed description

Endometrial cancer is one of the most common malignancies of the female reproductive tract, with obesity being a closely associated factor in its development and progression. According to the American Cancer Society, 57% of endometrial cancer cases are linked to obesity, and a 5-unit increase in body mass index (BMI) elevates the risk of EC by 50%. Overweight or obesity adversely impacts treatment efficacy and reduces survival rates in EC patients. In recent years, the incidence of EC has shown a trend toward younger populations, posing significant threats to the health and quality of life of patients undergoing fertility-sparing treatment. The Adaptive Behavioral Intervention (ABI) framework emphasizes real-time adjustments based on individual feedback and progress to optimize behavioral change and health outcomes. Integrating smart application (APP) technology can provide more convenient and personalized weight management support for EC patients undergoing fertility preservation. By continuously collecting and analyzing behavioral data, the intervention strategy can be dynamically tailored, thereby enhancing the effectiveness and sustainability of the intervention. Currently, there is a paucity of research on comprehensive weight management interventions incorporating intelligent APPs for obese or overweight EC patients in fertility-sparing treatment. This study aims to investigate the efficacy of an ABI-based smart APP in weight management for this population through a randomized controlled trial (RCT).

02

Conditions studied

  • Endometrial Cancer
  • Mobile Applications
  • Weight Management

Keywords

  • Endometrial Neoplasms
  • Mobile Applications
  • Weight Loss
03

In context

Endometrial Neoplasms

1,325 studies on the registry are indexed under Endometrial Neoplasms; 447 are open to participants now.

This study's planned enrollment of 106 is above the median of 70 across 941 interventional studies indexed under Endometrial Neoplasms.

Browse Endometrial Neoplasms studies →

Lead sponsor

Peking University People's Hospital is the lead sponsor of 584 studies on the registry; 233 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 60 Years
Sexes eligible
Female
Accepts healthy volunteers
No

Inclusion criteria

  • BMI ≥ 25 kg/m²
  • Histologically confirmed endometrial carcinoma via diagnostic curettage, hysteroscopic endometrial biopsy, or needle biopsy
  • Clinical FIGO 2009 stage IA disease: No evidence of extrauterine metastasis or myometrial invasion on imaging (MRI/CT)
  • ECOG \< 2
  • Active desire to preserve fertility
  • Fertility-preserving treatment
  • Willingness to participate and signed informed consent

Exclusion criteria

Exclusion Criteria:

  • High-grade or p53-mutated (p53mut) endometrial cancer
  • Currently using weight-loss medications
  • Pregnant or breastfeeding
  • Presence of communication barriers that prevent understanding and participation in the informed consent process
  • Participation in other weight-loss programs
  • Inability to safely engage in unsupervised physical activities
  • Undergoing anticoagulant therapy that may affect body composition, weight, or energy expenditure
  • Severe comorbidities: urinary system stones, history of renal failure or severe renal insufficiency, familial dyslipidemia, severe liver disease, chronic metabolic acidosis, history of pancreatitis, severe diabetes, active gallbladder disease, fat malabsorption, severe cardiovascular and cerebrovascular diseases
  • Presence of unstable medical conditions: uncontrolled hypertension, diabetes, unstable angina, transient ischemic attack, other cancers currently under treatment, Crohn's disease
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
106 participants (estimated)

Study arms

  • Experimental
    Experimental Group

    ① Implementation of the DEAR weight management model; ② Comprehensive coverage of the intelligent APP on the user end, and reinforcement of the regular interactive feedback and supervision mechanism of the medical team through the APP; ③ Provision of routine post-discharge care plans and follow-up programs.

    Behavioral: DEAR weight management · Behavioral: Standardized discharge care plan and follow-up schedule · Behavioral: Implementation of the weight management mobile health application + Enhance the regular interaction, feedback, and supervision mechanism between medical teams and apps

  • Other
    Control Group

    ① Implementation of the DEAR weight management model; ② Participants autonomously select functional modules of the weight management APP based on individualized health needs; ③ Provision of routine post-discharge care plans and follow-up programs.

    Behavioral: DEAR weight management · Behavioral: Standardized discharge care plan and follow-up schedule · Behavioral: Implementation of the weight management mobile health application

Interventions

  • BehavioralDEAR weight management

    In the DEAR weight management model: D (Diet) refers to dietary management, primarily based on a calorie-restricted balanced diet; E (Exercise) refers to exercise management, guided by the 10th edition of the ACSM Exercise Testing and Prescription Guidelines and the 2017 National Fitness Guidelines. Exercise prescriptions are tailored to the patient's daily activity levels (light, moderate, and vigorous) to match the corresponding intensity levels; A (Accompany) refers to peer education, which involves using peer education methods to provide health education for patients, build confidence, and alleviate anxiety; R (Refresh) refers to rejuvenation, which involves correcting unhealthy dietary and exercise habits and establishing good lifestyle practices.

  • BehavioralStandardized discharge care plan and follow-up schedule

    Standardized discharge care plan and follow-up schedule providing patients and their families with professional and feasible pre-discharge education on disease-related knowledge, dietary and exercise recommendations, daily living advice, and psychological support to help patients establish healthy behaviors. Patients are provided with printed health education materials and a handbook on health and disease knowledge. A WeChat communication group is established to promptly answer patients' questions, encourage peer-to-peer experience sharing, and conduct regular telephone follow-ups and questionnaire surveys after discharge.

  • BehavioralImplementation of the weight management mobile health application

    Patients undergoing weight management are instructed to download the app from the app store (compatible with both iOS and Android platforms). Users in the control group can independently register and log in using their mobile phone numbers to access and use the app. The app will create an electronic health record for weight management for each user. Users can input their weight-related information, and the app features a data analysis function that displays weight trends through charts (e.g., BMI calculation and personal weight change curves). The app interface also provides professional guidance on diet and exercise, such as food calorie information, customized nutritional meal plans, and specialized exercise programs with training courses. By offering educational articles and instructional videos, the app aims to promote correct weight management concepts, disseminate scientific health knowledge, and enhance self-efficacy in weight loss.

  • BehavioralImplementation of the weight management mobile health application + Enhance the regular interaction, feedback, and supervision mechanism between medical teams and apps

    Based on the intelligent app's comprehensive coverage on the user side and integrating the ABI concept, the app dynamically adjusts intervention strategies. This is achieved by real-time collection and analysis of user behavior data, providing users with all around and personalized weight management support across diet, exercise, psychological support, etc., thereby enhancing the effectiveness and sustainability of interventions. The research team has formed a professional and experienced medical team. All members hold a bachelor's degree or above and possess rich clinical weight management experience. Through the app, they provide users with scientific and rigorous supervision and guidance. During weight loss, users can obtain accurate, professional answers and personalized adjustment advice in real-time via the app's question-asking column if they encounter any problems.

06

What researchers measure

Primary outcomes

  1. Body mass index (BMI)

    Use the Inbody720 to measure height and weight and calculate BMI according to the formula "BMI (= weight (kg)/height² (m²)"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

Secondary outcomes

  1. Waist circumference (WC)

    Physiological parameter measured with the subject's body upright, abdomen relaxed, both arms hanging down naturally, feet together, and the tape measure placed around the waist; the height was adjusted to the horizontal plane passing through the midpoint of the line between the lower edge of the rib arch and the iliac crest in the mid-axillary line

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  2. Hip circumference (HC)

    Measured with the subject's body upright, taking the circumference of the body at the horizontal position of the uppermost point of the hip

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  3. Waist-to-height ratio (WHtR)

    Calculate WHtR according to the formula "WHtR= waist circumference (cm)/height (cm)= waist circumference (cm)/height (cm)"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  4. Waist-to-hip ratio (WHR)

    Calculate WHR according to the formula "WHR=waist circumference (cm)/hip circumference (cm)"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  5. Body shape index (ABSI)

    Calculate ABSI according to the formula "ABSI= (waist)/(\[BMI\]\^2/3×height\^1/2)"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  6. Body roundness index (BRI)

    Calculate BRI according to the formula "BRI= waist/BMI"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  7. Visceral fat index (VAI)

    Calculate VAI according to the formula "VAI= waist/(36.58 + 1.89 × BMI) × triglyceride (TG) level/0.81 × 1.52/high density lipoprotein (HDL) level"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  8. Lipid accumulation index (LAP)

    Calculate LAP according to the formula "LAP= = (waist circumference - 58) × TG level"

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  9. Triglycerides

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  10. Cholesterol

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  11. High density lipoprotein (HDL)

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  12. Low density lipoprotein (LDL)

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  13. Fasting glucose

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  14. Fasting insulin (FINS)

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  15. Glycated hemoglobin

    About 5 ml of venous blood was drawn from the study subjects in the fasting state in the morning and sent to the Laboratory Department of the People's Hospital of Peking University, where it was measured by Beckman AU5800 biochemical analyzer

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  16. Weight efficacy

    The Weight Efficacy Lifestyle Questionnaire-Short Form (WEL-SF) was utilized to assess Weight Efficacy. This validated instrument comprises 8 items, scored on a scale of 0 to 80, with higher scores indicating greater self-efficacy in weight management

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  17. Exercise adherence

    The Chinese-translated version of the Exercise Adherence Rating Scale (EARS) was employed to evaluate Exercise Adherence. The EARS consists of 16 items, scored from 0 to 64, with higher scores reflecting stronger exercise adherence. Items 1, 3, 5, 9, 13, 14, and 16 are reverse-scored to ensure psychometric accuracy

    Time frame: Baseline / Month 3 of intervention / Month 6 of intervention / Month 9 of intervention / Month 12 of intervention

  18. Complete response (CR)

    Complete remission indicated by complete endometrial regression and interstitial metaplasia-like changes on histopathology after treatment (without any endometrial atypical hyperplasia or endometrioid adenocarcinoma lesions, as clarified by pathologists)

    Time frame: One year of intervention

  19. Application usage frequency

    The backend retrieves user application usage days data within a year, defining application usage frequency by the number of application usage days.

    Time frame: one year of intervention

07

Study locations

1 site
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 3, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT06901778
Lead sponsor
Peking University People's Hospital
Responsible party
Xiaodan Li (associate professor, Peking University People's Hospital) — Principal investigator
First posted
Mar 30, 2025
Start date
Mar 31, 2025 (estimated)
Primary completion
Mar 31, 2027 (estimated)
Completion
Mar 31, 2027 (estimated)
Last update
Apr 3, 2025

Study contacts

Xiaodan Li
Contact
lixiaodan@pkuph.edu.cn
+8615010305099
Hui Zeng
Contact
zenghui5678@163.com
+8615665269558
Xiaodan Li
study chair · Peking University People's Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Mar 2025. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion