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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT03432624
Other study ID # CSPAC-030
Secondary ID
Status Not yet recruiting
Phase N/A
First received January 24, 2018
Last updated February 12, 2018
Start date March 1, 2018
Est. completion date January 1, 2019

Study information

Verified date February 2018
Source Fudan University
Contact Xianjun Yu, doctor
Phone +86-21-6417-5590
Email yuxianjun@fudanpci.org
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

Pancreatic cancer represents the most lethal of the common malignancies, with a 5-year survival rate of less than 5%. For patients who, when are diagnosed of pancreatic cancer, are eligible for potentially curative resection, the mortality and morbidity rates after surgery can improve significantly, but who accounts for no more than 20% of all pancreatic patients. It is therefore an effective way to improve the treatment efficacy for pancreatic cancer by discovering novel detection methods for pancreatic cancer, especially at early stages. MicroRNAs have been proved in recent years as functional disease markers, and circulating microRNA-25 is reported of high pancreatic cancer specificity and can be used as a novel marker for pancreatic cancer. A detection kit "MicroRNA (microRNA-25) Qualitative Detection Kit (Fluorescent PCR Method)" is produced and proven to be effective in assisting the diagnosis of pancreatic cancer through clinical trials held independently in three state-level hospitals in China. To further validate the efficacy of the kit, the researchers in this study intend to compare the sensibility and specificity of microRNA-25 level detection and other diagnosis methods, including detection of conventional tumor markers (CA19-9, CA125, CA50, CEA) and imaging (CT, MRI, PET/CT), both in separation and combined, in the diagnosis of pancreatic cancer.


Description:

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Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Serum MicroRNA-25 detection
The level of microRNA-25 in serum of patients will be detected using the MicroRNA (microRNA-25) Qualitative Detection Kit (Fluorescent PCR Method) and following the manufacture's instruction.*all arms are given the same intervention.

Locations

Country Name City State
China Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center; Pancreatic Cancer Institute, Fudan University Shanghai Shanghai

Sponsors (1)

Lead Sponsor Collaborator
Fudan University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Fourfold Table Analysis Indexes Using the Fourfold Table to analyze the diagnosis value of the tested reagent in comparison with the golden standard (pathological test) from mainly four indexes: Sensitivity, Specificity, Total Coincidence Rate and Youden Index (%).
Fourfold Table Tested reagent Golden standard Total Positive (D+) Negative (D-) Positive (T+) a b a+b Negative (T-) c d c+d Total a+c b+d N=a+b+c+d
Sensitivity: Se=P(T+|D+)=a/(a+c)
Specificity: Sp=P(T-|D-)=d/(b+d)
Total Coincidence Rate: TC= (a+d)/N
Youden Index: YI=Se+Sp-1
throughout the trial, average one year
Secondary Statistical Analysis Indexes Statistical Analysis will evaluate the diagnosing efficacy of the tested reagent with two indexes, Kappa Value and AUC:
Kappa Value (K Value) Analysis: to investigate the consistency of the tested reagent with golden standard.
The definition of K is:
K=(p_0-p_e)/(1-p_e ), Where p0 is the relative observed agreement of the tested reagent and/or the comparison reagents (identical to accuracy), and pe is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly seeing each category.
AUC (%): to investigate the diagnosing efficacy of the tested reagent through calculating the AUC (Area Under the ROC Curve).
The ROC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold setting. The TPR is also known as sensitivity. The FPR is also known as the fall-out or probability of false alarm and can be calculated as (1-specificity).
throughout the trial, average one year
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