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Diagnostic accuracy of proteomics and machine learning combination for malignant pleural effusion

Clinical Research In Diagnosis of malignant pleural effusion by combining proteomics and machine learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300068019
Enrollment
Unknown
Registered
2023-02-03
Start date
2020-05-22
Completion date
Unknown
Last updated
2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

malignant pleural effusion

Interventions

Gold Standard:Pleural effusion or pleural biopsy histopathology revealed malignant cells.
Index test:MPE diagnosis model based on MPE specific protein detection combined with machine learning based on clinical data.

Sponsors

Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University.
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria for MPE patients were as follows: 1. Positive cytology of pleural effusion; 2. Tumor cells were detected in pleural biopsy tissue; Inclusion of patients with benign pleural effusion: 1. Tuberculous pleuritis: granuloma was detected in pleural biopsy tissue, and acid-fast staining was positive; Acid fast staining or nucleation culture of pleural effusion was positive. 2. Cardiogenic pleural effusion: The patient had a history of heart failure, heart failure confirmed by color doppler echocardiography, increased BNP, and sensitive to diuretic treatment; 3. Parapneumonic pleural effusion: the patient was clearly diagnosed with pneumonia and was sensitive to antibiotic treatment; 4. Others: pleural effusion caused by nephrotic syndrome, cirrhosis, hypoproteinemia, etc.

Exclusion criteria

Exclusion criteria: Patients with critical illness; Patients younger than 18 years old.

Design outcomes

Primary

MeasureTime frame
area under the curve;sensitivity;specificity;

Countries

China

Contacts

Public ContactYongchun Shen
shen_yongchun@126.com86 13540758657

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026