Cancer Registration (CANCER) Dataset

Cancer Registration (CANCER) Dataset#

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TypeError                                 Traceback (most recent call last)
Cell In[1], line 5
      3 sys.path.append(os.path.abspath('../../../../scripts/'))
      4 from data_doc_helper import NHSEDataSet as DS, last_modified
----> 5 ds = DS("CANCER")
      6 last_modified()

File /opt/build/repo/ukllc_book/docs/scripts/data_doc_helper.py:1048, in NHSEDataSet.__init__(self, dataset)
   1046 # define std input variables
   1047 self.dataset = dataset
-> 1048 self.df_ds = get_nhse_ds(self.dataset)
   1049 self.doi = ds_doi(self.df_ds.iloc[0]["table"])
   1050 self.ed = get_ed(self.dataset)

File /opt/build/repo/ukllc_book/docs/scripts/data_doc_helper.py:879, in NHSEDataSet.__init__.<locals>.get_nhse_ds(x)
    869 """Returns DF of dataset info/metrics
    870 
    871 Args:
   (...)    875     DF: dataframe of dataset info/metrics
    876 """
    878 ds = md.get_md_api_dss()
--> 879 df_ds = ds[(ds["source"] == "NHSE") & (ds["table"] == x)]
    880 df_ds["source_table"] = df_ds["source"] + "_" + df_ds["table"]
    881 # ss = md.get_md_api_ss()[["source", "Owner"]]
    882 # df_ds = df_ds.merge(ss, on="source")

TypeError: string indices must be integers, not 'str'
People diagnosed with or receiving cancer treatment in or funded by the NHS in England.

1. Summary#

Data are collected by the National Cancer Registration and Analysis Service (NCRAS), which is part of NHS England’s National Disease Registration Service (NDRS). The Cancer Registration dataset is a subset of the Cancer Outcomes and Services Dataset (COSD), which is the national standard for collecting cancer data in the NHS. Data collected include demographic characteristics and information about diagnoses and treatments.

Dataset Descriptor Dataset-specific Information
Name of Dataset in TRE NHSE_CANCER
Citation (APA) Data Services, NHS England (NHSE) . (2024). NHS England: Cancer Registration Dataset - Dated 23 May 2024. UK Longitudinal Linkage Collaboration (UK LLC). https://doi.org/10.83126/ukllc-dataset-00065-02
Download Citation Citeproc JSON     BibTeX     RIS
Series NHS England
Owner NHS England, Office for National Statistics and Department of Health and Social Care
Temporal Coverage in the TRE 01/1971 - ongoing
Geographical Coverage England
Participant Count 23065
Number of Variables 21
Number of Observations 34039
Key Link https://digital.nhs.uk/ndrs/
Keywords Cancer
Latest Extract Date 2024-05-23
Specific Restrictions to Data Use None
Build a Data Request https://explore.ukllc.ac.uk/

2. Metrics#

Table 2: Please note, individual cohort counts of less than 10 are suppressed to 0 and are therefore excluded from total participant counts for datasets

3. Version History#

Version Number 2 1 1 2 1 1 1 1 2 2 2 2
Name in TRE NHSE_CANCER_20220106 NHSE_CANCER_20220106 NHSE_CANCER_20220302 NHSE_CANCER_20220302 NHSE_CANCER_20220715 NHSE_CANCER_20220716 NHSE_CANCER_20221110 NHSE_CANCER_20221228 NHSE_CANCER_20221228 NHSE_CANCER_20230302 NHSE_CANCER_20240424 NHSE_CANCER_20240523
Version Date 06 Jan 2022 06 Jan 2022 02 Mar 2022 02 Mar 2022 15 Jul 2022 16 Jul 2022 10 Nov 2022 28 Dec 2022 28 Dec 2022 02 Mar 2023 24 Apr 2024 23 May 2024
Number of Variables 22 21 21 21 21 21 21 21 21 21 21 21
Number of Rows 22520 22520 22728 22728 2245 24973 3507 27579 27579 27579 33682 34039
DOI 10.83126/ukllc-dataset-00062-02 10.83126/ukllc-dataset-00062-01 10.83126/ukllc-dataset-00061-01 10.83126/ukllc-dataset-00061-02 10.83126/ukllc-dataset-00063-01 10.83126/ukllc-dataset-00060-01 10.83126/ukllc-dataset-00059-01 10.83126/ukllc-dataset-00058-01 10.83126/ukllc-dataset-00058-02 10.83126/ukllc-dataset-00064-02 10.83126/ukllc-dataset-00066-02 10.83126/ukllc-dataset-00065-02

4. Documentation#

We are currently building a documentation storage system, which will host relevant and useful documents related to datasets, groupings, and studies themselves. Relevant documentation for this particular dataset will go here.

5. Useful Syntax#

Below we will include syntax that may be helpful to other researchers in the UK LLC TRE. For longer scripts, we will include a snippet of the code plus a link to Git where you can find the full script