Back To Index << Back To Datasets

Data Set Module Chronic Diseases 2.16.840.1.113883.3.1937.777.64.1.4

Name	Id
Module Chronic Diseases	2.16.840.1.113883.3.1937.777.64.1.4
Version / effective date	Expiration date
2023‑09‑11 19:06:50
Description
NFDI4Health LogicalModel Epidemiology of Chronic Diseases Metadataschema (Use Case 5.2) V3

Name

Details [‑]

ChronicDiseasesEpidemiology

nfdhtfcov19-dataelement-117

link

nfdhtfcov19-dataelement-117 (2023‑09‑29 10:19:04)

Synonym

chronic_diseases_epidemiology

Description

Chronic disease data collection

Properties

No 3_0

CD1

Rationale

Description: Group of items providing information on chronic disease data collection.

Source

NFDI4Health UC 5.2 requirements

Comment

Cardinality: 1..*, if chronic_diseases == "Yes" AND resource_type == ("Study protocol" OR "Protocol amendment" OR "Informed consent form" OR "Patient information sheet" OR "Manual of operations (SOPs)" OR "Statistical analysis plan" OR "Data management plan" OR "Case report form" OR "Interview scheme and themes" OR "Observation guide" OR "Discussion guide" OR "Participant tasks" OR "Other study document" OR "Other"); otherwise 0.. 0

Comment

Display information? (Data capturing): yes

Display information? (Data visualization): yes

commonChronicDiseaseName

nfdhtfcov19-dataelement-102

nfdhtfcov19-dataelement-102 (2023‑09‑11 19:06:50)

Synonym

common_chronic_disease_name

Description

On which of the following common chronic diseases were data collected?

Properties

No 3_0

CD1.1

Rationale

Description: Common chronic diseases on which data were collected in the study.

Additional information: The values originate from the following sources: 1) 10 types of cancer with the highest incidence in Germany, by gender, based on 2017/2018 German cancer registry data (RKI, Zentrum für Krebsregisterdaten, https://www.krebsdaten.de/); 2) 10 cardiovascular diseases with highest mortality in Germany in 2020 (www.destatis.de). All values follow the classifiction system ICD-11 (WHO's International Statistical Classification of Diseases and Related Health Problems, 11th Revision (ICD-11), https://icd.who.int/en).

Source

NFDI4Health UC 5.2 requirements

ICD-11 [https://icd.who.int/browse11/l-m/en]

Zentrum für Krebsregisterdaten [https://www.krebsdaten.de/]

Statistisches Bundesamt [https://www.destatis.de/]

Comment

Cardinality: 1..1

Comment

Display information? (Data capturing): yes

Display information? (Data visualization): yes

Operationalization

Short input help: Select one value from the list.

Value Domain

Code

Choice list

Concept List
Concept	Description	Assigned references
Non-hodgkin lymphoma (mature B-cell neoplasms: 2A80-2A86, 2A8Z; mature T-cell or NK-cell neoplasms: 2A90, 2B00-2B03, 2B0Y, 2B0Z, 2B2Y, 2B2Z)		code "118601006" (Non-Hodgkin's lymphoma (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of lip, oral cavity or pharynx (2B60-69, 2B6A-Z)		code "271323007" (Malignant neoplasm of lip, oral cavity and/or pharynx (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of stomach (2B72)		code "372014001" (Primary malignant neoplasm of stomach (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of large intestine (2B90-2B93, 2B9Y)		code "93854002" (Primary malignant neoplasm of large intestine (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of pancreas (2C10)		code "372003004" (Primary malignant neoplasm of pancreas (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of trachea, bronchus and lung (2C24, 2C25)		code "93986008" (Primary malignant neoplasm of respiratory tract (disorder)) from code system "SNOMED-CT"
Malignant melanoma of skin (2C30)		code "93655004" (Malignant melanoma of skin (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of breast (2C60-2C65, 2C6Y, 2C6Z)		code "254837009" (Malignant neoplasm of breast (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of corpus uteri, cervix uteri, and uterus, part not specified (2C76-78)		code "371973000" (Malignant neoplasm of uterus (disorder)) from code system "SNOMED-CT"
Malignant neoplasm of ovary (2C73)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of prostate (2C82)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of kidney (2C90)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Malignant neoplasms of bladder (2C94)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Type 2 Diabetes mellitus (5A11-14)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Disorders of lipoprotein metabolism or certain specified lipidaemias (5C80, 5C81, 5C8Y, 5C8Z)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Hypertensive diseases (BA00-BA04)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Ischaemic heart diseases (BA40-43, BA50-52, BA60)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Heart valve diseases (BB60-65, BB70-74, BB80-84, BB90-93, BC00-02)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Cardiac arrhythmia (BC60-65, BC70-71, BC80-81, BC90-91, MC82)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Heart failure (BD10-14)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Cerebrovascular diseases (8B00-03, 8B0Z, 8B10-11, 8B1Y, 8B1Z, 8B2Z, 8B20-26, BD55, BD56)		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Diseases of the circulatory system falling into multiple categories		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"
Data not collected for any of the above-listed diseases		code "93934004" (Primary malignant neoplasm of ovary (disorder)) from code system "SNOMED-CT"

Value Set required NFDI4Health_VS_MDS_CD_CommonChronicDiseaseName_SNOMEDCT (version 2023‑10‑10 11:18:06)

dataCollected

nfdhtfcov19-dataelement-118

nfdhtfcov19-dataelement-118 (2023‑09‑29 10:28:52)

Synonym

data_collected

Description

Type of data collected

Properties

No 3_0

CD1.2

Rationale

Description: Type of data collected.

Source

NFDI4Health UC 5.2 requirements

Comment

Cardinality: 1..1

Comment

Display information? (Data capturing): yes

Display information? (Data visualization): yes

Operationalization

Short input help: Select one value from the list.

Value Domain

Code

Choice list

Concept List
Concept	Description	Assigned references
Prevalent	Persons in a population who have a particular disease or attribute at a specified point in time or over a specified period of time [CDC.gov (https://www.cdc.gov/csels/dsepd/ss1978/lesson3/section2.html)].	code "C0033105" (Statistical Prevalence) from code system "Unified Medical Language System"
Incident	Occurrence of new cases of disease or injury in a population over a specified period of time [CDC.gov (https://www.cdc.gov/csels/dsepd/ss1978/lesson3/section2.html)].	code "C0021149" (Incidence) from code system "Unified Medical Language System"

Value Set required NFDI4Health_VS_MDS_CD_DataCollected_UMLS (version 2023‑10‑10 10:56:44)

informationSources

nfdhtfcov19-dataelement-119

nfdhtfcov19-dataelement-119 (2023‑09‑29 10:31:15)

Synonym

information_sources

Description

From which source(s) are the data generated/extracted?

Properties

No 3_0

CD1.3

Rationale

Description: Source(s) from which information is generated/extracted.

Additional information: Treat prevalent and incident diseases separately (selected values should be specific for prevalent diseases and then separately incident diseases).

Source

NFDI4Health UC 5.2 requirements

Comment

Cardinality: 1..*

Comment

Display information? (Data capturing): yes

Display information? (Data visualization): yes

Operationalization

Short input help: Select all that apply.

Value Domain

Code

Choice list

Concept List
Concept	Description	Assigned references
Self-report (questionnaires or interviews), cases verified	A method of data collection which involves asking a participant, for example, through questionnaires or interviews. The collected information is then verified by asking the treating physician, through administrative databases (e.g., health insurance data), or clinical examinations [NFDI4Health].	code "116" (Self-report (questionnaires or interviews), cases verified) from code system "NFDI4Health_CS_MDS_Remaining_Concepts"
Self-report (questionnaires or interviews), cases not verified	A method of data collection which involves asking a participant, for example, through questionnaires or interviews. The collected information is not verified by any external information or clinical examinations [NFDI4Health].	code "117" (Self-report (questionnaires or interviews), cases not verified) from code system "NFDI4Health_CS_MDS_Remaining_Concepts"
Administrative databases	Information about administrative data [Maelstrom (doi: 10.1371/journal.pone.0200926)].	code "C0242356" (Databases) from code system "Unified Medical Language System"
Biosamples	A sample of material, such as urine, blood, tissue, cells, DNA, RNA, or protein, from the study subject [NCI Dictionary of Cancer Terms (https://www.cancer.gov/publications/dictionaries/cancer-terms)].	code "C1706958" (Biosample) from code system "Unified Medical Language System"
Physical measures (e.g., clinical examination)	Information about physical functioning. Information in this domain is generally measured [Maelstrom (doi: 10.1371/journal.pone.0200926)].	code "C0031809" (Physical Examination) from code system "Unified Medical Language System"
Other	Sources of data other than self-report, administrative databases, biosamples and physical measures [NFDI4Health].	code "C0205394" (Other (Qualitative Concept)) from code system "Unified Medical Language System"

Value Set required NFDI4Health_VS_MDS_CD_Information_Sources_UMLS_Local (version 2023‑10‑10 12:32:23)