1,721,063 research outputs found
Computerised advice on drug dosage decisions in childhood leukaemia: A method and a safety strategy
No full textCurrently over 95% of children who are diagnosed with Acute Lymphoblastic Leukaemia in the UK are enrolled into Medical Research Council trials. The trial protocol specifies that following initial treatment there is a 2-3 year maintenance period during which drug dosage decisions are made weekly according to a set of pre-defined rules. These rules are complex, and there is a significant frequency of error in clinical practice, which can lead to patient harm. We have built a web-based decision support system (called LISA) to address this problem. The dose alteration rules from lie MRC protocol were formalised in the PROforma guideline modeling language as a state transition problem, and dose adjustment recommendations are provided into the clinical setting by a PROforma enactment engine. The design and implementation of the decision support module, the safety issues raised and the strategy adopted for resolving them are discussed. System safety is very likely to become a major professional challenge for the medical AI community and it can be addressed, in this case, with relatively straightforward techniques
LISA: a web-based decision-support system for trial management of childhood acute lymphoblastic leukaemia
No full textContinuation chemotherapy is a key component of the treatment of childhood acute lymphoblastic leukaemia. During this treatment phase, weekly dose adjustments are carried out based on current and historical full blood counts (FBCs). The dose decision pathway is complex and suboptimal therapy may result if information on FBC results is not readily available and/or the prescriber is inexperienced. A web-based decision-support system (Leukaemia Intervention Scheduling and Advice, ‘LISA’) was designed to facilitate access to FBC information across geographical locations and to assist with dosage adjustments. A balanced-block crossover analysis was performed to evaluate the system. Thirty-six clinicians with varying degrees of experience were each asked to decide on appropriate oral chemotherapy dosages for eight simulated cases: four using LISA and four without. LISA significantly reduced the number of erroneous prescriptions (zero of 144 with LISA vs. 54 of 144 without; P < 0·0001) without affecting the number of times subjects deliberately overrode the protocol (seven of 144 times using LISA and six of 144 without). Using LISA reduced the time taken by novices to reach a decision for each case but increased the time taken by experts. Thirty-five of 36 subjects said they would be likely to use the system if it were available. A system like LISA is likely to be acceptable to clinicians, and has the potential to increase protocol compliance and decrease prescribing errors while allowing clinicians to override the protocol in specific cases where sound reasons exist for doing so
A Quantitative and Qualitative Evaluation of LISA, a Decision Support System for Chemotherapy Dosing in Childhood Acute Lymphoblastic Leukaemia.
No full textObjectives: to assess the acceptability to clinicians of a web-based decision support system designed to assist with dosage adjustments during maintenance therapy for childhood Acute Lymphoblastic Leukaemia (ALL), and to evaluate the potential impact of the system on decision-making and dosage calculations.Design: balanced-block crossover experiment with simulated cases; questionnaire study and semi-structured interviews.Participants: 36 clinicians with differing experience in the management of ALL.Interventions: subjects were asked to decide on appropriate levels of chemotherapy dosing for 8 simulated cases, 4 using the LISA decision support system, 4 using conventional paper-based records and guidance.Main outcome measures: number of protocol-consistent dosage decisions made; time taken to manage each case; accuracy of dosage calculations; subjects' opinions as to whether or not they would use the system in practice. ADDITIONAL OUTCOME MEASURES: Functions subjects would like to see in an idealised system; subjects' satisfaction with the implementation of the functions provided by LISA; qualitative data on issues subjects felt would impact upon the successful deployment of the system
Early response to induction is predictive of survival in childhood Philadelphia chromosome positive acute lymphoblastic leukaemia: results of the Medical Research Council ALL 97 trial
No full textWe report on the outcome of children with Philadelphia positive acute lymphoblastic leukaemia (Ph+ ALL) treated on the UK Medical Research Council (MRC) trial for childhood ALL, MRC ALL 97, between January 1997 and June 2002. Forty-two (2·3%) patients were Ph+. Nineteen (45%) had <25% blasts in bone marrow (BM) within the first 2 weeks of treatment and were defined as a good response group (GRG), the others as a poor response group (PRG). Thirty-six (86%) achieved first complete remission (CR1) at the end of induction, of which 28 underwent BM transplantation (BMT). The median follow-up was 42 months (range, 21–84). The 3-year event-free survival (EFS; 52%, 95% CI, 36–66%) was a considerable improvement on the previous MRC UKALL XI trial (27%). EFS for the GRG and PRG were 68% (43–84%) and 39% (18–59%), respectively (P = 0·03); presenting white cell count <50 × 10^9/l (P = 0·02) was predictive for overall survival. Changes in the MRC ALL97 trial within the study period resulted in some Ph+ ALL receiving daunorubicin and either prednisolone or dexamethasone during induction. Though the use of daunorubicin during induction was not a prospective study question, EFS was significantly better for those whose induction included this drug (P = 0·02). Steroid randomization was not stratified for Ph+ ALL patients and was not predictive for EFS. BMT in CR1 appeared to reduce the risk of a subsequent BM relapse. These results show significant improvement on previous MRC trials; future therapeutic strategies should include early intensive therapy and BMT in CR1
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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