Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer

NCT00632853

Clinical Trial Information


Trial Number: NCT00632853 (ClinicalTrials.gov)
Disease Type:
  • Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer
Trial Title:
Phase III Comparison of Thoracic Radiotherapy Regimens in Patients With Limited Small Cell Lung Cancer Also Receiving Cisplatin and Etoposide
Study ID:
CALGB-30610
Images are available?:
No
Is this a NCI-MATCH Trial?:
No

NCT02349412

Clinical Trial Information


Trial Number: NCT02349412 (ClinicalTrials.gov)
Disease Type:
  • Gastrointestinal Neoplasm - Gastroesophageal Cancer
  • Gastrointestinal Neoplasm - Liver and Hepatobiliary Cancer
  • Gastrointestinal Neoplasm - Pancreatic Cancer (excluding Islets)
  • Lung, Mediastinal and Pleural Neoplasm - Mesothelioma
  • Lung, Mediastinal and Pleural Neoplasm - Non-Small Cell Lung Cancer
  • Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer
Trial Title:
Early Palliative Care With Standard Care or Standard Care Alone in Improving Quality of Life of Patients With Incurable Lung or Non-colorectal Gastrointestinal Cancer and Their Family Caregivers
Study ID:
A221303
Images are available?:
No
Is this a NCI-MATCH Trial?:
No


Datasets Linked to Trial

Title Description
NCT02349412-D9 Dataset NCT02349412-D9-Dataset.csv (nctn_supp_table3) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Supplementary Table 3 from the manuscript.
NCT02349412-D8 Dataset NCT02349412-D8-Dataset.csv (nctn_supp_table2) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Supplementary Table 2 from the manuscript.
NCT02349412-D7 Dataset NCT02349412-D7-Dataset.csv (nctn_supp_table1) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Supplementary Table 1 from the manuscript.
NCT02349412-D6 Dataset NCT02349412-D6-Dataset.csv (nctn_fig2) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Figure 2 from the manuscript.
NCT02349412-D5 Dataset NCT02349412-D5-Dataset.csv (nctn_table4) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Table 4 from the manuscript.
NCT02349412-D4 Dataset NCT02349412-D4-Dataset.csv (nctn_table3) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Table 3 from the manuscript.
NCT02349412-D3 Dataset NCT02349412-D3-Dataset.csv (nctn_table2) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Table 2 from the manuscript.
NCT02349412-D2 Dataset NCT02349412-D2-Dataset.csv (nctn_table1) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce Table 1 (Baseline characteristics) from the manuscript.
NCT02349412-D1 Dataset NCT02349412-D1-Dataset.csv (nctn_consort) is one of 9 datasets associated with PubMed ID 32031887. This dataset contains information that will allow you to reproduce the consort diagram.

NCT01642251

Clinical Trial Information


Trial Number: NCT01642251 (ClinicalTrials.gov)
Disease Type:
  • Lung, Mediastinal and Pleural Neoplasm - Non-Small Cell Lung Cancer
  • Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer
Trial Title:
Cisplatin and Etoposide With or Without Veliparib in Treating Patients With Extensive Stage Small Cell Lung Cancer
Study ID:
E2511
Images are available?:
No
Is this a NCI-MATCH Trial?:
No


Datasets Linked to Trial

Title Description
NCT01642251-D2 There are two different submissions (each with one dataset) for PMID 30523756 from ECOG-ACRIN trial E2511. This dataset, NCT01642251-D2 contains toxicity data. Dataset NCT01642251-D1 contains baseline, treatment, and efficacy data.
NCT01642251-D1 There are two different submissions (each with one dataset) for PMID 30523756 from ECOG-ACRIN trial E2511. This dataset, NCT01642251-D1, contains baseline, treatment, and efficacy data. Dataset NCT01642251-D2 contains toxicity data.

NCT00887159

Clinical Trial Information


Trial Number: NCT00887159 (ClinicalTrials.gov)
Disease Type:
  • Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer
Trial Title:
A Randomized Phase II Study of Cisplatin and Etoposide in Combination With Either Hedgehog Inhibitor GDC-0449 or IGF-1R MOAB IMC-A12 for Patients With Extensive Stage Small Cell Lung Cancer
Study ID:
E1508
Images are available?:
No
Is this a NCI-MATCH Trial?:
No


Datasets Linked to Trial

Title Description
NCT00887159-D2 There are two different submissions (each with one dataset) for PMID 27163943 from trial ECOG-ACRIN 1508. This dataset, NCT00887159-D2 contains toxicity data. Dataset NCT00887159-D1 contains baseline, treatment, and efficacy data.
NCT00887159-D1 There are two different submissions (each with one dataset) for PMID 27163943 from trial ECOG-ACRIN 1508. This dataset, NCT00887159-D1, contains baseline, treatment, and efficacy data. Dataset NCT00887159-D2 contains toxicity data.

NCT00453154

Clinical Trial Information


Trial Number: NCT00453154 (ClinicalTrials.gov)
Disease Type:
  • Lung, Mediastinal and Pleural Neoplasm - Small Cell Lung Cancer
Trial Title:
Combination Chemotherapy With or Without Maintenance Sunitinib Malate (NSC 736511) For Untreated Extensive Stage Small Cell Lung Cancer: A Phase IB/Randomized Phase II Study
Study ID:
CALGB-30504
Images are available?:
No
Is this a NCI-MATCH Trial?:
No


Datasets Linked to Trial

Title Description
NCT00453154-D2 NCT00453154-D2-Dataset.csv (clinical) is one of 2 datasets associated with PubMed ID 25732163. This dataset contains information for baseline characteristics and outcome data.
NCT00453154-D1 NCT00453154-D1-Dataset.csv (ae) is one of 2 datasets associated with PubMed ID 25732163. This dataset contains information for the adverse events reported in the manuscript.