A Simulation Study Using Validated Prognostic Factors to Assess Expected Long-term Survival

Predicting Chronic Leukaemias from Assessment of Complete Peripheral Blood Counts

The chronic leukaemias include two distinct chronic neoplastic disease states, namely chronic myelogenous leukaemia (CML) and chronic lymphocytic leukaemia (CLL). The aim of this study was to assess the utility of leucocyte count, neutrophil percentage and absolute lymphocyte count from differential complete blood count analyses as indicators of the possible presence of CML and CLL. Blood counts from 102 patients with histopathologically confirmed CML and CLL were compared with counts for 858 cancer-free control subjects. Optimal cut-off values were identified by selecting values with the highest sensitivity–specificity combination for each blood count parameter for the two diseases. The results indicated that any individual with mature-appearing lymphocytes at a level > 6.65 × 109/l in the peripheral blood should be examined further for CLL, and that any individual with a leucocyte count > 18.0 × 109/l or a neutrophil proportion > 72.6% should be investigated for CML.

Clinical trials in chronic myeloid leukemia

The introduction of the tyrosine kinase inhibitor (TKI) imatinib in the treatment of Philadelphia chromosome-positive chronic myeloid leukemia (CML) has substantially improved the outcome of CML patients. Despite the positive results, problems and questions remained. This was the rationale to setup trials for treatment optimization, where imatinib was administered in higher dose and/or in combination with other therapy but where also new and potentially more efficacious second-generation TKI, nilotinib and dasatinib, were investigated. This review summarizes data of recently published first-line studies with the standard treatment imatinib 400 mg as one study arm. Results of randomized comparisons to higher-dose imatinib treatment, nilotinib or dasatinib are discussed. With regard to outcome interpretation, general aspects on statistical issues and endpoint definitions are put into focus. Considering decidedly increased longevity thanks to TKI treatment, future research should include the evaluation of the quality of life (QoL). Relating also to QoL, safe ways of drug discontinuation need to be investigated.

Modeling in biomedical informatics—An exploratory analysis

OBJECTIVE

Modeling is a significant part of research, education and practice in biomedical and health informatics. Our objective was to explore which types of models of processes are used in current biomedical/health informatics research, as reflected in publications of scientific journals in this field. Also, the implications for medical informatics curricula were investigated.

METHODS

Retrospective, prolective observational study on recent publications of the two official journals of the International Medical Informatics Association (IMIA), the International Journal of Medical Informatics (IJMI) and Methods of Information in Medicine (MIM). All publications of the years 2004 and 2005 from these journals were indexed according to a given list of model types. Random samples out of these publications were analysed in more depth.

RESULTS

Three hundred and eighty-four publications have been analysed, 190 of IJMI and 194 of MIM. For publications in special issues (121 in IJMI) and special topics (132 in MIM) we found differences between theme-centered and conference-centered special issues/special topics (SIT) publications. In particular, we could observe a high variation between modeling in publications of theme-centered SITs. It became obvious that often sound formal knowledge as well as a strong engineering background is needed for carrying out this type of research. Usually, this knowledge and the related skills can be best provided in consecutive B.Sc. and M.Sc. programs in medical informatics (respectively, health informatics, biomedical informatics). If the focus should be primarily on health information systems and evaluation this can be offered in a M.Sc. program in medical informatics.

CONCLUSIONS

In analysing the 384 publications it became obvious that modeling continues to be a major task in research, education and practice in biomedical and health informatics. Knowledge and skills on a broad range of model types are needed in biomedical/health informatics.