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Key Points Question Can increasing awareness about deprescribing prior to primary care visits reduce the use of potentially inappropriate long-term medications for individuals with cognitive impairment? Findings In this pragmatic cluster randomized clinical trial of deprescribing education for 3012 older adults with cognitive impairment taking 5 or more medications and their primary care clinicians, patients from intervention clinics and control clinics were taking a similar mean number of medications (6.4 vs 6.5) at 6 months, and similar proportions of patients were taking 1 or more potentially inappropriate medications after 6 months. Meaning Educating patients and clinicians about deprescribing in primary care did not have an effect on the number of long-term medications or percentage of potentially inappropriate medications for older adults taking 5 or more long-term medications; findings suggest such interventions should target older adults taking relatively more medications.

Abstract. This paper presents a method for learning models of character linguistic style from a corpus of film dialogues and tests the method in a perceptual experiment. We apply our method in the context of SpyFeet, a prototype role playing game. In previous work, we used the PERSONAGE engine to produce restaurant recommendations that varied according to the speaker's personality [14,12]. Here we show for the first time that: (1) our expressive generation engine can operate on content from the story structures of an RPG; (2) PERSONAGE parameter models can be learned from film dialogue; (3) PERSONAGE rule-based models for extraversion and neuroticism are be perceived as intended in a new domain (SpyFeet character utterances); and (4) that the parameter models learned from film dialogue are generally perceived as being similar to the character that the model is based on. This is the first step of our long term goal to create off-theshelf tools to support authors in the creation of interesting dramatic characters and dialogue partners, for a broad range of types of interactive stories and role playing games.

Summary 18F-labelled–fluorodeoxyglucose positron emission tomography (FDG-PET) findings are challenging to interpret for residual disease versus complete response in paediatric patients with non-Hodgkin lymphoma (NHL). A biopsy is often warranted to confirm the presence or absence of viable tumour if there is clinical or radiographic evidence of residual disease. In this study, we compared conventional imaging and FDG-PET/computerized tomography (CT) findings with biopsy results in 18 children with NHL. Our goal was to provide additional data to establish more reliable criteria for response evaluation. Residual disease was suspected after conventional imaging alone in 8 patients, after FDG-PET/CT alone in 3 and after both modalities in 7 patients. Biopsy confirmed the presence of viable tumour in 2 patients. Two additional patients experienced progressive disease or relapse. The sensitivity and negative predictive value of FDG-PET/CT using the London criteria to indicate residual tumour detectable by biopsy were 100%, but specificity was low (60%), as was the positive predictive value (25%). Thus, in this study, a negative FDG-PET/CT finding was a good indicator of complete remission. However, because false-positive FDG-PET/CT findings are common, biopsy and close monitoring are required for accurate determination of residual disease in individual patients.

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