[Significance of medical data availability for the assessment of prognostic factors in cancer patients. Analysis based on a study of cervical cancer population].
The aim of this study was to estimate the availability of medical records (MR) in population study based on Cancer Registries (CR) data, and to investigate weather the availability of MR correlates with favourable prognostic factors in cervical cancer patients. The cohort consisted of 1386 patients diagnosed between 1993 and 1996 and registered at CR in three Polish cities: Kielce, Opole and Warsaw. Population of these areas covers about 10% of Polish population. The data became amended with information from MR on stage, histopathology and first treatment. The place of living and availability of MR were also considered as prognostic factors. Chi square test was used to compare the differentiation of distribution of prognostic factors between two groups: patients for whom MR were available and remaining group with information available from CR only. A multivariate regression analysis was applied for the evaluation of prognostic factors. MR, available for 75,4% patients, combined with CR data, formed the high quality database allowing analysis of prognostic factors. The availability of MR correlated with more favourable prognostic factors (p<0.0001): earlier stage of disease, younger age and category of microscopic diagnosis. Multivariate analysis confirmed the prognostic meaning of the stage of disease, place of living and availability of MR, however, the last factor was not significant. The analysis confirmed the necessity of including selected clinical prognostic factors into routinely collected data by population CR to allow monitoring of effectiveness of any cancer control project and evaluation of cancer health indicators as recommended by IARC/WHO in EUROCHIP Project.
Bielska-Lasota
Magdalena
M
Zakład Organizacji Badań Masowych, Centrum Onkologii Instytut im. Marii Sklodowskiej-Curie w Warszawie. mbielska@coi.waw.pl
D000230:Adenocarcinoma / Q000453:epidemiology* / Q000473:pathology / Q000628:therapy; D000328:Adult; D000368:Aged; D002294:Carcinoma, Squamous Cell / Q000453:epidemiology* / Q000473:pathology / Q000628:therapy; D016009:Chi-Square Distribution; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008499:Medical Records / Q000706:statistics & numerical data*; D008875:Middle Aged; D015999:Multivariate Analysis; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D010051:Ovarian Neoplasms / Q000453:epidemiology* / Q000473:pathology / Q000628:therapy; D011044:Poland / Q000453:epidemiology; D011379:Prognosis; D012042:Registries; D012189:Retrospective Studies; D012307:Risk Factors; D016019:Survival Analysis; D016387:Women's Health