Bmc Med Res Methodol
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Bmc Med Res Methodol · Apr 2015
Bayesian estimation of a cancer population by capture-recapture with individual capture heterogeneity and small sample.
Cancer incidence and prevalence estimates are necessary to inform health policy, to predict public health impact and to identify etiological factors. Registers have been used to estimate the number of cancer cases. To be reliable and useful, cancer registry data should be complete. Capture-recapture is a method for estimating the number of cases missed, originally developed in ecology to estimate the size of animal populations. Capture recapture methods in cancer epidemiology involve modelling the overlap between lists of individuals using log-linear models. These models rely on assumption of independence of sources and equal catchability between individuals, unlikely to be satisfied in cancer population as severe cases are more likely to be captured than simple cases. ⋯ We applied M(th) models and Bayesian population estimation to small sample of a cancer population. Advantage of M(th) models applied to cancer datasets, is the ability to explore individual factors associated with capture heterogeneity, as equal capture probability assumption is unlikely. M(th) models and Bayesian population estimation are well-suited for capture-recapture in a heterogeneous cancer population.
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Bmc Med Res Methodol · Apr 2015
Network meta-analysis combining individual patient and aggregate data from a mixture of study designs with an application to pulmonary arterial hypertension.
Network meta-analysis (NMA) is a methodology for indirectly comparing, and strengthening direct comparisons of two or more treatments for the management of disease by combining evidence from multiple studies. It is sometimes not possible to perform treatment comparisons as evidence networks restricted to randomized controlled trials (RCTs) may be disconnected. We propose a Bayesian NMA model that allows to include single-arm, before-and-after, observational studies to complete these disconnected networks. We illustrate the method with an indirect comparison of treatments for pulmonary arterial hypertension (PAH). ⋯ Our method for the inclusion of single-arm observational studies allows the performance of indirect comparisons that had previously not been possible due to incomplete networks composed solely of available RCTs. We also built on many recent innovations to enable researchers to use both aggregate data and IPD. This method could be used in similar situations where treatment comparisons have not been possible due to restrictions to RCT evidence and where a mixture of aggregate data and IPD are available.
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Bmc Med Res Methodol · Apr 2015
ReviewThe rise of multiple imputation: a review of the reporting and implementation of the method in medical research.
Missing data are common in medical research, which can lead to a loss in statistical power and potentially biased results if not handled appropriately. Multiple imputation (MI) is a statistical method, widely adopted in practice, for dealing with missing data. Many academic journals now emphasise the importance of reporting information regarding missing data and proposed guidelines for documenting the application of MI have been published. This review evaluated the reporting of missing data, the application of MI including the details provided regarding the imputation model, and the frequency of sensitivity analyses within the MI framework in medical research articles. ⋯ This review outlined deficiencies in the documenting of missing data and the details provided about imputation. Furthermore, only a few articles performed sensitivity analyses following MI even though this is strongly recommended in guidelines. Authors are encouraged to follow the available guidelines and provide information on missing data and the imputation process.
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Bmc Med Res Methodol · Mar 2015
Positive predictive value of International Classification of Diseases, 10th revision, diagnosis codes for cardiogenic, hypovolemic, and septic shock in the Danish National Patient Registry.
Large registries are important data sources in epidemiological studies of shock, if these registries are valid. Therefore, we examined the positive predictive value (PPV) of diagnosis codes for shock, the procedure codes for inotropic/vasopressor therapy among patients with a diagnosis of shock, and the combination of a shock diagnosis and a code for inotropic/vasopressor therapy in the Danish National Patient Registry (DNPR). ⋯ Overall, we found a moderately high PPV for shock in the DNPR. The PPV was highest for cardiogenic shock but lower for hypovolemic and septic shock. Combination diagnoses of shock with codes for inotropic/vasopressor therapy further increased the PPV of shock overall, and for cardiogenic and septic shock diagnoses.
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Bmc Med Res Methodol · Mar 2015
Novel participatory methods of involving patients in research: naming and branding a longitudinal cohort study, BRIGHTLIGHT.
Patient and public involvement (PPI) is central to research and service planning. Identifying effective, meaningful ways of involvement is challenging. The cohort study 'Do specialist services for teenagers and young adults with cancer add value?' follows young people for three years, examining outcomes associated with specialist care. Participant retention in longitudinal research can be problematic potentially jeopardising study completion. Maximising study awareness through high impact branding and publicity may improve study retention. Study names are typically generated by researchers rather than designed with patients. We aimed to involve young people in developing a brand identity and name to 'Do specialist services for teenagers and young adults with cancer add value?'. ⋯ Acceptance and retention to BRIGHTLIGHT is higher than anticipated (80% versus 60%), this may be related to our integral PPI strategy. We propose this reproducible methodology as an important, enjoyable, and novel way of involving patients in research and a welcome alternative to researcher-developed acronyms. Ideally this should be carried out prior to engaging with healthcare professionals to prevent confusion around study identity.