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Job request: 7361

Organisation:
University of Leeds
Workspace:
all_cause_mortality_with_stratification
ID:
6yob64nqdzmoktnk

This page shows the technical details of what happened when the authorised researcher Ciarán D. McInerney requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

    # generate_study_population:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition
        # outputs:
            # highly_sensitive:
                # cohort: output/input.csv
                
    generate_study_population_2:
        run: cohortextractor:latest generate_cohort --study-definition study_definition_2
        outputs:
            highly_sensitive:
                cohort: output/input_2.csv

    # generate_study_population_cohort_check:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_flow_chart
        # outputs:
            # highly_sensitive:
                # cohort: output/input_*.csv
            
    # generate_study_population_codelist_check:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_codelist_check
        # outputs:
            # highly_sensitive:
                # cohort: output/input_*.csv
                
    # generate_study_population_vacc_check_anyTest:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_vacc_check_anyTest
        # outputs:
            # highly_sensitive:
                # cohort: output/input_vacc_check.csv
    
    # generate_study_population_vacc_check_posTest:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_vacc_check_posTest
        # outputs:
            # highly_sensitive:
                # cohort: output/input_vacc_check_posTest.csv
    
    # check_cohort:
        # run: r:latest analysis/check_cohort.R
        # needs: [generate_study_population_cohort_check]
        # outputs:
            # moderately_sensitive:
                # cohort: output/check_cohort.csv
                
    # check_codelist:
        # run: r:latest analysis/check_codelist.R
        # needs: [generate_study_population_codelist_check]
        # outputs:
            # moderately_sensitive:
                # cohort: output/check_codelist.csv
                
    # 4wk_onboarding:
        # run: r:latest analysis/report.R
        # needs: [generate_study_population]
        # outputs:
            # moderately_sensitive:
                # n_patients: output/count_patients.csv
                ##cohort1: output/plot_postOp_mortality_30day.png
                # subtable_table1_ageGroup: output/table1_ageGroup.csv
                # subtable_table1_Sex: output/table1_Sex.csv
                # subtable_table1_30dayMortality: output/table1_postOp_mortality_30day.csv
                # table1_df_4wk: output/table1_4wk_onboarding.csv
                ##table1_kable_4wk: output/Table1_4wk_onboarding.png
                # subtable_table1_ageGroup_3mths: output/table1_ageGroup_3mths.csv
                # subtable_table1_Sex_3mths: output/table1_Sex_3mths.csv
                # subtable_table1_30dayMortality_3mths: output/table1_postOp_mortality_30day_3mths.csv
                # table1_df_4wk_3mths: output/table1_4wk_onboarding_3mths.csv
                ##table1_kable_4wk_3mths: output/Table1_4wk_onboarding_3mths.png
                # subtable_table1_ageGroup_6mths: output/table1_ageGroup_6mths.csv
                # subtable_table1_Sex_6mths: output/table1_Sex_6mths.csv
                # subtable_table1_30dayMortality_6mths: output/table1_postOp_mortality_30day_6mths.csv
                # table1_df_4wk_6mths: output/table1_4wk_onboarding_6mths.csv
                ##table1_kable_4wk_6mths: output/Table1_4wk_onboarding_6mths.png
                # tableVacc_30dayMortality: output/tableVacc_postOp_mortality_30day.csv
                # tableVacc_df: output/table_Vaccination_status.csv
                ##tableVacc_kable: output/TableVacc.png
                # tableVacc_30dayMortality_3mths: output/tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_df_3mths: output/table_Vaccination_status_3mths.csv
                ##tableVacc_kable_3mths: output/TableVacc_3mths.png
                # tableVacc_30dayMortality_6mths: output/tableVacc_postOp_mortality_30day_6mths.csv
                # tableVacc_df_6mths: output/table_Vaccination_status_6mths.csv
                ##tableVacc_kable_6mths: output/TableVacc_6mths.png
    
    # vacc_definition_check_anyTest:
        # run: r:latest analysis/vacc_check.R
        # needs: [generate_study_population_vacc_check_anyTest]
        # outputs:
            # moderately_sensitive:
                # tableVacc_30dayMortality_3mths_SNOMED: output/SNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_TPP: output/TPP_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_AlwynSNOMED: output/AlwynSNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_AlwynTPP: output/AlwynTPP_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_df_check_3mths_SNOMED: output/SNOMED_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_TPP: output/TPP_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_AlwynSNOMED: output/AlwynSNOMED_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_AlwynTPP: output/AlwynTPP_table_Vaccination_status_3mths.csv
                
    # vacc_definition_check_posTest:
        # run: r:latest analysis/vacc_check.R
        # needs: [generate_study_population_vacc_check_posTest]
        # outputs:
            # moderately_sensitive:
                # tableVacc_30dayMortality_3mths_SNOMED: output/SNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_TPP: output/TPP_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_AlwynSNOMED: output/AlwynSNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_30dayMortality_3mths_AlwynTPP: output/AlwynTPP_tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_df_check_3mths_SNOMED: output/SNOMED_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_TPP: output/TPP_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_AlwynSNOMED: output/AlwynSNOMED_table_Vaccination_status_3mths.csv
                # tableVacc_df_check_3mths_AlwynTPP: output/AlwynTPP_table_Vaccination_status_3mths.csv
                
    COVIDSurg_compare:
        run: r:latest analysis/Make_table_COVIDSurg_compare.R
        needs: [generate_study_population_2]
        outputs:
            moderately_sensitive:
                table_counts: output/table_Count_of_patients_in_each_cohort_in_each_era_across_all_intervals.csv
                table_mortality_intervals: output/table_30day_post-op_mortality_in_each_era_across_all_intervals.csv
                table_mortality_totals: output/table_30day_post-op_mortality_for_each_cohort_in_each_era.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:25:57

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status
Failed
Backend
TPP
Requested by
Ciarán D. McInerney
Branch
main
Force run dependencies
Yes
Git commit hash
270203a
Requested actions
  • COVIDSurg_compare

Code comparison

Compare the code used in this Job Request