5,607 research outputs found

    Maintenance Requirements of Implant Supported Fixed Prostheses Opposed by Either Implant Supported Fixed Prostheses or Natural Teeth: 5 Years Results

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    AIM: To compare the maintenance requirements of implant supported fixed prostheses opposed by implant supported fixed prostheses natural teeth or complete dentures. METHOD: The maintenance requirements were obtained by examining the dental records of 15 people, of whom 6 were edentulous in both arches and 9 edentulous in one arch. The results were compared to those obtained from 22 edentulous people in whom implants had been used in the mandible (control group). All the patients were treated with Nobel Biocare implants using standard implant and prosthetic protocols. RESULTS: The main maintenance requirement was the need to repair part of the superstructure. The artificial teeth and the acrylic resin had to be repaired on 44 occasions in the group with implants in both jaws and 14 occasions in the group with implants opposed by natural teeth. This compared with 2 occasions in the control group. Similarly the group with implants in both jaws were more likely to fracture the gold alloy framework, an event which occurred on 6 occasions. The Kruskal- Wallis one way analysis of variance on ranks was used to identify significant differences and Dunn’s method of All Pairwise Multiple Comparison Procedures was used to distinguish which group differed from the other. The group with implants in both jaws was significantly different to the other two groups in relation to the higher incidence of fracture of the teeth and acrylic resin superstructure (p<0.0001) and fracture of the gold alloy framework (p = 0.0002). CONCLUSION: The maintenance requirements of implant supported fixed prostheses opposed by implant supported fixed prostheses are much greater than when opposed by natural teeth or complete dentures

    Ten women's decision-making experiences in threatened preterm labour: Qualitative findings from the EQUIPTT trial.

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    BACKGROUND: Clinical triage of women in threatened preterm labour (TPTL) could be improved through utilising the QUiPP App, as symptoms alone are poor predictors of early delivery. As most women in TPTL ultimately deliver at term, they must weigh this likelihood with their own personal considerations, and responsibilities. The importance of personal considerations was highlighted by the 2015 Montgomery ruling, and the significance of shared decision-making. AIMS: Through qualitative interviews, the primary aim was to explore women's decision-making experiences in TPTL through onset of symptoms, triage, clinical assessment, and discharge. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (REC: 17/LO/1802) using a semi-structured interview schedule. Descriptive labels of the coding scheme were applied to the raw transcript data. This coding scheme was then increasingly refined into key themes and allowed parallels to be made within and between cases. RESULTS: Ten ethnically diverse women who presented at six different London hospitals sites in TPTL were interviewed. Three final themes emerged from the data incorporating 10 sub-themes, 'Seeking help', 'Being "assessed" vs making clinical decisions together', and 'End result.' CONCLUSION: Women described their busy lives and the need to juggle their commitments. Participants drew comparisons between their TPTL symptoms and 'period pain,' contrasting to typical medical terminology. Shared decision-making and the clinician-patient relationship could be improved through clinicians utilizing terminology women understand and relate to. Women used language that highlighted the clinician-patient power balance. While not fully involved in shared decision-making, women were overall satisfied with their care

    Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.

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    BACKGROUND: As the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach. RESULTS: Nineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app. CONCLUSION: This study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337

    Alpha-particle-induced complex chromosome exchanges transmitted through extra-thymic lymphopoiesis in vitro show evidence of emerging genomic instability

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    Human exposure to high-linear energy transfer α-particles includes environmental (e.g. radon gas and its decay progeny), medical (e.g. radiopharmaceuticals) and occupational (nuclear industry) sources. The associated health risks of α-particle exposure for lung cancer are well documented however the risk estimates for leukaemia remain uncertain. To further our understanding of α-particle effects in target cells for leukaemogenesis and also to seek general markers of individual exposure to α-particles, this study assessed the transmission of chromosomal damage initially-induced in human haemopoietic stem and progenitor cells after exposure to high-LET α-particles. Cells surviving exposure were differentiated into mature T-cells by extra-thymic T-cell differentiation in vitro. Multiplex fluorescence in situ hybridisation (M-FISH) analysis of naïve T-cell populations showed the occurrence of stable (clonal) complex chromosome aberrations consistent with those that are characteristically induced in spherical cells by the traversal of a single α-particle track. Additionally, complex chromosome exchanges were observed in the progeny of irradiated mature T-cell populations. In addition to this, newly arising de novo chromosome aberrations were detected in cells which possessed clonal markers of α-particle exposure and also in cells which did not show any evidence of previous exposure, suggesting ongoing genomic instability in these populations. Our findings support the usefulness and reliability of employing complex chromosome exchanges as indicators of past or ongoing exposure to high-LET radiation and demonstrate the potential applicability to evaluate health risks associated with α-particle exposure.This work was supported by the Department of Health, UK. Contract RRX95 (RMA NSDTG)

    Differential Subordinations Involving Generalized Bessel Functions

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    In this paper our aim is to present some subordination and superordination results, by using an operator, which involves the normalized form of the generalized Bessel functions of first kind. These results are obtained by investigating some appropriate classes of admissible functions. We obtain also some sandwich-type results and we point out various known or new special cases of our main results.Comment: 15 pages, accepted in Bulletin of the Malaysian Mathematical Sciences Societ

    Real-time dynamic modelling for the design of a cluster-randomized phase 3 Ebola vaccine trial in Sierra Leone.

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    BACKGROUND: Declining incidence and spatial heterogeneity complicated the design of phase 3 Ebola vaccine trials during the tail of the 2013-16 Ebola virus disease (EVD) epidemic in West Africa. Mathematical models can provide forecasts of expected incidence through time and can account for both vaccine efficacy in participants and effectiveness in populations. Determining expected disease incidence was critical to calculating power and determining trial sample size. METHODS: In real-time, we fitted, forecasted, and simulated a proposed phase 3 cluster-randomized vaccine trial for a prime-boost EVD vaccine in three candidate regions in Sierra Leone. The aim was to forecast trial feasibility in these areas through time and guide study design planning. RESULTS: EVD incidence was highly variable during the epidemic, especially in the declining phase. Delays in trial start date were expected to greatly reduce the ability to discern an effect, particularly as a trial with an effective vaccine would cause the epidemic to go extinct more quickly in the vaccine arm. Real-time updates of the model allowed decision-makers to determine how trial feasibility changed with time. CONCLUSIONS: This analysis was useful for vaccine trial planning because we simulated effectiveness as well as efficacy, which is possible with a dynamic transmission model. It contributed to decisions on choice of trial location and feasibility of the trial. Transmission models should be utilised as early as possible in the design process to provide mechanistic estimates of expected incidence, with which decisions about sample size, location, timing, and feasibility can be determined

    Interpolated sequences and critical LL-values of modular forms

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    Recently, Zagier expressed an interpolated version of the Ap\'ery numbers for ζ(3)\zeta(3) in terms of a critical LL-value of a modular form of weight 4. We extend this evaluation in two directions. We first prove that interpolations of Zagier's six sporadic sequences are essentially critical LL-values of modular forms of weight 3. We then establish an infinite family of evaluations between interpolations of leading coefficients of Brown's cellular integrals and critical LL-values of modular forms of odd weight.Comment: 23 pages, to appear in Proceedings for the KMPB conference: Elliptic Integrals, Elliptic Functions and Modular Forms in Quantum Field Theor
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