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Upcoming changes
This release enriches the NAACCR vocabulary with mappings built and provided by the community contributors. Around 1.5k of codes from 'NAACCR Value' concept class are de-Standardized and mapped over to the Cancer Modifier vocabulary. Related NAACCR Variables with their standard concept and validity parameters remained intact.
Make sure that your ETL is ready to implement the changes:
- Retrieve the mappings from non-standard NAACCR Values to Cancer Modifier Measurement concepts (relationship_id = ‘Maps to’).
- Populate the measurement_concept_id with concept_id from the standard Cancer Modifier counterparts.
- Do not populate the value_as_concept_id field (even though it may be stored as the value in the source data).
Concept_id for event fields should be selected depending on the mapping of NAACCR Value solely.
Different ETL scenarios are described in following table:
Source data (NAACCR Variable-Value) | OMOP CDM target | |||||||
Logical group | NAACCR Variable | NAACCR Value | concept code | concept name | ||||
concept code | concept name | std concept | concept code | concept name | std concept | |||
1 | 2860 | CS Mets Eval | S | For cases when value is not mapped or not populated | 2860 | CS Mets Eval | ||
2860 | CS Mets Eval | S | larynx_supraglottic@2860@3 | Meets criteria for AJCC pathologic staging of distant metastasis:||Specimen from metastatic site microscopically positive WITHOUT pre-surgical systemic treatment or radiation |OR specimen from metastatic site microscopically positive, unknown if pre-surg | NULL | OMOP4998856 | Metastasis | |
2.1 | 774 | EOD Regional Nodes | S | For cases when value is not mapped or not populated | 774 | EOD Regional Nodes | ||
774 | EOD Regional Nodes | S | melanoma_choroid_ciliary_body@774@999 | Unknown; regional lymph node(s) not stated|Regional lymph node(s) cannot be assessed|Not documented in patient record||Death Certificate Only | NULL | NA | NA | |
2.2 | 774 | EOD Regional Nodes | S | For cases when value is not mapped or not populated | NA | NA | ||
774 | EOD Regional Nodes | S | net_jejunum_ileum@774@400 | Large mesenteric masses (greater than 2 cm)|Lymph node metastasis greater than 2 cm | NULL | OMOP4998946 | Regional spread to lymph node | |
2.3 | 774 | EOD Regional Nodes | S | For cases when value is not mapped or not populated | 774 | EOD Regional Nodes | ||
liver@774@800 | Regional lymph node(s), NOS|Lymph node(s), NOS | S | liver@774@800 | Regional lymph node(s), NOS|Lymph node(s), NOS | ||||
3 | merkel_cell_penis@2870 | Size of Metastasis in Lymph Nodes | NULL | Irrespective of value | OMOP4998351 | Dimension of Lymph Node | ||
merkel_cell_penis@2870@990 | Metastasis or tumor nests in regional lymph nodes, size cannot be assessed | NULL | OMOP4998946 | Regional spread to lymph node |
*std - standard_concept
Our team continues remapping of smoking-related concepts to the OMOP Extension vocabulary. During our last major release, we created a set of OMOP Extension concepts to accompany the ETL Smoking convention. The progress can be tracked here on the OHDSI Forum.
During this release we will focus on remapping of SNOMED concepts: the smoking-related SNOMED terms will be mapped to new OMOP Extension concepts. These changes affect smoking-related concept sets and cohorts built on currently standard SNOMED concepts. The top concept of hierarchy is Findings of tobacco or its derivatives use or exposure. Tobacco users are now defined according to the type of the product they use (Smokeless, Electronic, Cigarettes, Cigars, etc.), while cigarette smokers are also classified according to the severity of smoking (Trivial, Light, Moderate, Heavy, Very heavy). Cigarette pack-years smoked during life concept is intended to capture the cumulative consumption of cigarettes.
Note 1: these changes do not concern the concepts that are adjacent to smoking (for example, Nicotine dependence). Identification of patients who smoke can be based on more broad terms (such as nicotine dependence or nicotine abuse), more granular terms (such as fact of smoking, number of pack-years, etc.) or combination of such. The hierarchy we created enables clean representation and retrieval of the granular concepts. Your concept set design should depend on code utilization in the data intended to be used and intended specificity/sensitivity of your phenotype.
Note 2: in some cases post-coordination in data modeling may be changed to pre-coordination and vice versa. These may significantly affect ETL process through the source_to_concept_map table.
Source data (various vocabularies*) | OMOP CDM target (OMOP Extension) | ||||||
source_concept_id | source_concept_name | source_value_concept_id | source_value_concept_name | event_concept_id | concept_name | value_as_concept_id | concept_name |
4310250 | Ex-smoker | NA | 1340204 | History of event | 903657 | Cigarette smoker | |
903651 | Currently doesn't use tobacco or its derivatives | NA | |||||
4203874 | Smoking monitoring status | For cases when value is not mapped or not populated | NA | NA | NA | NA | |
4298794 | Smoker | 903657 | Cigarette smoker |
* - this might be relevant to custom mapping vocabularies also
Please make sure that upcoming changes will be addressed in your ETLs and studies.
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