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Biomedical subjects

K C Mitchell

Publications and source records attributed to K C Mitchell.

4 recordsLinked to original sources
PubMed1997

A nucleotide polymorphism in ERCC1 in human ovarian cancer cell lines and tumor tissues.

We studied the DNA sequence of the entire coding region of ERCC1 gene, in five cell lines established from human ovarian cancer (A2780, A2780/CP70, MCAS, OVCAR-3, SK-OV-3), 29 human ovarian cancer tumor tissue specimens, one human T-lymphocyte cell line (H9), and non-malignant human ovary tissue (NHO). Samples were assayed by PCR-SSCP and DNA sequence analyses. A silent mutation at codon 118 (site for restriction endonuclease MaeII) in exon 4 of the gene was detected in MCAS, OVCAR-3 and SK-OV-3 cells, and NHO. This mutation was a C-->T transition, that codes for the same amino acid: asparagine. This transition converts a common codon usage (AAC) to an infrequent codon usage (AAT), whereas frequency of use is reduced two-fold. This base change was associated with a detectable band shift on SSCP analysis. For the 29 ovarian cancer specimens, the same base change was observed in 15 tumor samples and was associated with the same band shift in exon 4. Cells and tumor tissue specimens that did not contain the C-->T transition, did not show the band shift in exon 4. Our data suggest that this alteration at codon 118 within the ERCC1 gene, may exist in platinum-sensitive and platinum-resistant ovarian cancer tissues.

Antineoplastic Agents↗
PubMed1994

Computer assisted clinical data analysis.

The Diagnosis Related Groups patient classification scheme coupled with desk top PC technology permits sophisticated analysis of patient medical data. Individuals with no programming knowledge can produce sophisticated analysis. The functionality and structure of the 3M Analytical Workstation are described and example analysis reports are presented.

Computer Systems↗
PubMed1989

Case-mix adjusted analyses of service utilization for a Medicaid health insuring organization in Philadelphia.

Health Insuring Organizations (HIOs) are capitated plans that serve all of the Medicaid beneficiaries in a defined catchment area. While this approach to capitation eliminates the incentive to enroll only the healthiest beneficiaries in the area, it does not alleviate concerns that the HIO will respond to the incentives for efficiency created by capitation payment by underproviding services. The authors studied change in service utilization patterns produced by the HIO by using a multivariate strategy to identify case-mix groups at the population level to adjust analyses of hospital and nursing home utilization for case mix. This approach was applied to service utilization data for Medicaid beneficiaries in Philadelphia who received medical services from an HIO and for two control groups. In addition to identifying changes in service use, they evaluated the performance of the HIOs on three dimensions--access to care, quality of care, and the efficiency with which the care was provided. While limitations on the information available in the billing files did not allow definitive statements to be made regarding these issues, case-mix adjusted patterns of service use (and mortality) across sets of service may enable Medicaid programs to identify areas where problems in one of these three critical areas exist. This would allow the program to target its limited utilization and quality review resources toward the areas, types of people, and/or providers where problems in one or more of these areas are more likely.

Actuarial Analysis↗