These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: A match made in heaven? Trying to combine ACS-NSQIP and NCDB databases. Author: Matsen CB, Luther SL, Stewart AK, Henderson WG, Kim H, Neumayer LA. Journal: J Surg Res; 2012 Jun 01; 175(1):6-11. PubMed ID: 21924740. Abstract: BACKGROUND: As part of a larger study evaluating breast cancer care, we attempted to validate our matching strategies between the National Cancer Data Base (NCDB) and ACS National Surgical Quality Improvement Program (ACS-NSQIP). METHODS: Using 2002-2006 data, we attempted to match cases by a three-tiered approach. Three groups resulted: (1) successfully matched, (2) NCDB case with no corresponding match in ACS-NSQIP, and (3) ACS-NSQIP case with no match in NCDB. Single institution (University of Utah) data were used for a nested validation study of the unmatched groups. RESULTS: The initial match yielded a 23.4% net match rate (rate of 8.6% at the University of Utah). In subset review of unmatched University of Utah cancer registry cases (NCDB, n = 153), 56% (n = 86) of cases had their index surgery at the University of Utah, with 15 potential matches in the unmatched ACS-NSQIP data using age and date of surgery and no potential match for 41 cases. Twenty-five remaining cases had a potential surgery date match if age was varied by 1 y with 18 confirmed matches. Review of unmatched ACS-NSQIP cases (n = 107) yielded 15 potential matches in the University of Utah cancer registry, with no potential match for 63 cases. Twenty-nine cases had a potential surgery date match if age was varied, with 26 confirmed matches. Review of ACS-NSQIP cases from 2006 for cancer status and stage revealed two cancer patients who were not in the cancer registry. CONCLUSIONS: Linking ACS-NSQIP and NCDB without a captive patient population results in low overall match rates due, in part, to specific inclusion criteria and different variable definitions for each database.[Abstract] [Full Text] [Related] [New Search]