Gallbladder Diseases

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Review clinical trials related to Gallbladder Diseases. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Not yet recruiting

Endoscopic vs Non-endoscopic Drainage for Benign Gallbladder Diseases in High-risk Patients or Patients Desiring Gallbladder Preservation

Common gallbladder conditions like gallstones, polyps, and gallbladder inflammation are typically treated by surgically removing the gallbladder. However, surgery may be too risky for elderly patients or those with severe medical conditions, and some patients strongly prefer to keep their gallbladder. Newer, less-invasive endoscopic treatments can drain the gallbladder to treat inflammation without surgery. However, after successful drainage, doctors currently do not know whether it is better to leave a stent inside for long-term drainage or to actively remove the gallbladder stones using an endoscope. This multicenter study will follow patients in a real-world setting to compare these two approaches: the endoscopic treatment group (stone removal after drainage) and the non-endoscopic treatment group (long-term drainage alone). The goal is to evaluate which method is safer and more effective over the long term, helping doctors make better clinical decisions and improve patients' quality of life.

Participants needed: 220
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Air Force Military Medical University, ChinaUpdated: Jun 16, 2026Locations: 1
Eligibility criteria

Age ≥ 18 years, and voluntarily signed the informed consent form; [+2]

Suspected or confirmed gallbladder malignancy; [+8]

Status: Recruiting

Seattle Spatial Transcriptomic Research in Inflammatory Bowel Disease Evaluation (STRIDE)

This is a prospective observational study collecting long-term clinical data and samples for research in pediatric inflammatory bowel disease (IBD) patients with gut inflammation and a control cohort of pediatric patients with disorders of the brain-gut interactions (DBGI) with no detectable gut inflammation.

Participants needed: 200
Trial details
Age: 6-21Biological sex: AllType: ObservationalSponsor: Seattle Children's HospitalUpdated: Apr 24, 2026Locations: 1Duration: 3 Years
Eligibility criteria

Suspected diagnosis of CD (Crohn's Disease), UC (Ulcerative Colitis) or Indeterm...

Other serious medical conditions, such as neurological, liver, kidney, or system... [+2]

Status: Recruiting

Impact of Pringle Maneuver on Postoperative Gallbladder Diseases After Hepatectomy

The liver is an organ with a rich blood supply. During liver surgery (hepatectomy), surgeons often temporarily clamp the blood vessels supplying the liver to maintain a clear surgical field and reduce bleeding. This common technique is known as the Pringle maneuver. However, this maneuver also temporarily cuts off the blood supply to the gallbladder. Currently, doctors debate whether to routinely remove a healthy gallbladder during liver surgery to prevent future gallbladder problems, or to preserve it. The primary purpose of this multicenter retrospective cohort study is to evaluate whether using the Pringle maneuver during liver surgery increases the risk of patients developing gallbladder diseases (such as gallstones or inflammation) later on. Researchers will review the past medical records of patients who underwent liver surgery with their gallbladder preserved between January 2012 and January 2022. By comparing patients who had the Pringle maneuver with those who did not, the study aims to provide reliable clinical evidence to help surgeons make better decisions about whether to preserve or remove the gallbladder during liver surgery.

Participants needed: 2,000
Trial details
Age: 18-85Biological sex: AllType: ObservationalSponsor: West China HospitalUpdated: Mar 5, 2026Locations: 8
Eligibility criteria

Aged 18 to 85 years. [+4]

Preoperative evaluation indicating pre-existing biliary tract diseases (e.g., ch... [+4]

Status: Not yet recruiting

Research on Construction and Verification of Multimodal Medical Imaging Large Model

With the accumulation of multimodal clinical data such as medical imaging and electronic health records (EHRs), efficient utilization of multi-source information to achieve precise diagnosis and intelligent decision-making has become a core direction of medical artificial intelligence (AI). Although traditional unimodal algorithms have yielded outcomes in specific tasks, their inability to model the semantic correlations among imaging, textual, and laboratory data leads to insufficient stability and limited interpretability of diagnostic results, making it difficult to meet the needs of comprehensive decision-making in complex clinical scenarios. In recent years, multimodal large models have demonstrated excellent cross-modal understanding and knowledge transfer capabilities in natural images and general vision-language tasks, providing a new paradigm for medical AI. However, direct application in medical scenarios still faces challenges: first, the medical semantic system differs significantly from general language models, hindering the accurate representation of disease characteristics and imaging details; second, the complex morphology of lesions and uneven sample distribution in medical data increase the difficulty of model generalization; third, clinical data involves privacy, so data security and ethical compliance serve as prerequisites for research. The research on medical multimodal large models aims to integrate multi-source heterogeneous medical data, establish a unified semantic representation and reasoning mechanism, and realize full-process intelligent analysis including disease identification and lesion localization. This approach can not only improve the efficiency and accuracy of clinical diagnosis but also provide clinicians with interpretable and traceable auxiliary decision support, boasting broad application prospects. Based on the hospital's clinical data resources and the research team's algorithmic foundation, this study intends to construct a multimodal large model system for medical imaging diagnosis, enabling closed-loop intelligent analysis from multimodal information fusion to diagnostic report generation. The research will strictly adhere to medical ethical standards, protect patients' right to information, right to privacy, and data security. Before the official launch of the project, ethical review must be passed, and relevant regulations shall be followed to ensure the unity of scientific research and ethics, laying a compliant foundation for subsequent clinical validation and promotion.

Participants needed: 2,000
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Second Affiliated Hospital, School of Medicine, Zhejiang UniversityUpdated: Mar 3, 2026Duration: 4 Weeks
Eligibility criteria

Adult patients aged ≥ 18 years. [+4]

Patients who refuse to sign the informed consent form. [+4]

Status: Not yet recruiting

Multicenter Prospective Cohort Study of Risk Factors for Gallbladder Cancer

This trial is a prospective study, the main purpose of the study is to investigate the association between benign gallbladder disease and gallbladder carcinoma; to explain the timing of intervention, intervention and early prevention of benign gallbladder disease; according to the national epidemiology of gallbladder cancer Center Clinical Research (unpublished), 2000 National Cholecystoma Clinical Epidemiology Report, and 2005 Clinical Analysis of 2379 Cases of Gallbladder Carcinoma in 17 Hospitals in Five Northwest Provinces, Pre-experimental data, using samples The volume estimation formula, α = 0.05, β = 0.1, plans to enroll 100,000 people.Half of participants is someone with Biliary benign disease,while the other half is healthy.

Participants needed: 100,000
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Tongji HospitalUpdated: Mar 4, 2019Duration: 10 Years
Eligibility criteria

Subjects who met the following four criteria entered the study. [+4]

Subjects can not enter the study by combining any of the following [+2]