42092-7

LOINC code 42092-7 identifies "Collaborative staging version.first Cancer". This item indicates the number of the version used to initially code CS fields. The CS version number is returned as part of the output of the CS algorithm. As long as the CS algorithm is run and the output values stored at the time of initial abstracting, the returned values from the program should be automatically stored as CS Version 1st. This item may be blank if the CS algorithm has not been run or if this field has not been implemented. When it is implemented, this data item should be entered at the time the CS fields are first coded and the algorithm first applied. If the calculation algorithm is not called at the time of the initial abstracting, the CS Version 1st could also be entered manually by the abstractor. It is not expected that this field would be updated every time a coded value is changed. However, the field should be available for future updating if, for example, the CS fields for certain records were to be systematically recoded for a special study using a later version, the CS Version 1st could be appropriately updated with the new version. The meaning and interpretation of CS Version 1st will be dependent on vendor implementation and local practices. This field should be interpreted with caution in a dataset where the actual coding procedures are unknown. Codes CS Version 1st is a 6-digit code. The first two digits represent the major version number; the second two digits represent minor version changes; and, the last two digits represent even less significant changes, such as corrections of typographical errors that do not affect coding or derivation of results. .. NAACCR Data Standards and Data Dictionary Version 11

This code measures Collaborative staging version.first in Cancer.XXX. It belongs to the TUMRRGT class in the LOINC classification.

LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.