- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03427567
A Study to Evaluate Effectiveness of Sublobar Dissection in Patients With Non-small Cell Lung Cancer
May 18, 2018 updated by: XiangNing Fu, Tongji Hospital
A Multi-centre Real-world Non-interventional Observational Study to Evaluate Effectiveness of Sublobar Dissection in the Chinese Patients With Non-small Cell Lung Cancer
A study to evaluate effectiveness of sublobar dissection in patients with non-small cell lung cancer
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
This is a multi-centre real-world non-interventional observational study.
The study data on patient demographic/tumor biological characteristics and clinical treatments were retrospectively collected to evaluate effectiveness of sublobar dissection in the Chinese patients with non-small cell lung cancer who received sublobar dissection.
Study Type
Observational
Enrollment (Actual)
3902
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Beijing
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Beijing, Beijing, China, 100029
- China-Japan Friendship Hospital
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Beijing, Beijing, China, 100853
- China PLA General Hospital
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Henan
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Zhengzhou, Henan, China, 450003
- Henan Cancer Hospital
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Hubei
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Wuhan, Hubei, China, 430030
- Tongji Hospital Affiliated to Huazhong Technology Hospital
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Jiangsu
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Nanjing, Jiangsu, China, 210009
- Jiangsu Cancer Hospital
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Shaanxi
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Xi'an, Shaanxi, China, 710000
- Xi'an Tangdu Hospital
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Shanghai
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Shanghai, Shanghai, China, 200030
- Shanghai Chest Hospital
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Sichuan
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Chengdu, Sichuan, China, 610041
- Huaxi Hospital Affiliated to Sichuan University
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Tianjin
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Tianjin, Tianjin, China, 300051
- Tianjin Chest Hospital
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Zhejiang
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Hangzhou, Zhejiang, China, 310003
- First Hospital Affiliated to Zhejiang University
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Chinese patients with pathological diagnosed non-small cell lung cancer who received sublobar dissection and lymphadenectomy
Description
Inclusion Criteria:
- Patients >= 18 years old;
- Patients who received sublobar dissection from 2014 to 2017 (segment dissection/wedge dissection/segment and wedge dissections);
- Patients who received selective or systematic lymphadenectomy;
- Pathologically diagnosed patients with non-small cell lung cancer;
- Pathological staging: I, II
Exclusion Criteria:
- Patients who received cancer treatments before surgeries (adjuvant therapies including chemotherapies, radiotherapies, target therapies);
- Patients who received late-phase or intolerant palliative lobectomy or compromise sublobar dissection;
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Sublobar dissection
Chinese NSCLC patients who received sublobar dissection
|
Sublobar dissection plus lymphadenectomy
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Overall survival
Time Frame: 2014 - 2017
|
Overall survival
|
2014 - 2017
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Overall survivals in subgroups
Time Frame: 2014 - 2017
|
Overall survivals categorised by tumor biological characteristics
|
2014 - 2017
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Impact factors of overall survival
Time Frame: 2014 - 2017
|
Impact factors of overall survival as measured by patient demographic/tumor biological characteristics and clinical treatments
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2014 - 2017
|
Death rates after surgeries
Time Frame: 2014 - 2017
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Death rates after surgeries
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2014 - 2017
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Impact factors of death rates after surgeries
Time Frame: 2014 - 2017
|
Impact factors of death rates after surgeries
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2014 - 2017
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Incidence of complications after surgeries
Time Frame: 2014 - 2017
|
Incidence of complications after surgeries
|
2014 - 2017
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Xiangning Fu, PhD, Tongji Hospital Affiliated to Tongji Medical College Huazhong Technology University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 1, 2017
Primary Completion (Actual)
December 1, 2017
Study Completion (Actual)
March 30, 2018
Study Registration Dates
First Submitted
February 2, 2018
First Submitted That Met QC Criteria
February 7, 2018
First Posted (Actual)
February 9, 2018
Study Record Updates
Last Update Posted (Actual)
May 21, 2018
Last Update Submitted That Met QC Criteria
May 18, 2018
Last Verified
May 1, 2018
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- TJ-LC-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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