Publications by authors named "Samantha Mann"

Research has shown that complications are more common in truth tellers' accounts than in lie tellers' accounts, but there is currently no experiment that has examined the accuracy of observers' veracity judgments when looking at complications. A total of 87 participants were asked to judge 10 transcripts (five truthful and five false) derived from a set of 59 transcripts generated in a previous experiment by Deeb et al. Approximately half of the participants were trained to detect complications (Trained), and the other half did not receive training (Untrained).

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Background: Predicting diabetic retinopathy (DR) progression could enable individualised screening with prompt referral for high-risk individuals for sight-saving treatment, whilst reducing screening burden for low-risk individuals. We developed and validated deep learning systems (DLS) that predict 1, 2 and 3 year emergent referable DR and maculopathy using risk factor characteristics (tabular DLS), colour fundal photographs (image DLS) or both (multimodal DLS).

Methods: From 162,339 development-set eyes from south-east London (UK) diabetic eye screening programme (DESP), 110,837 had eligible longitudinal data, with the remaining 51,502 used for pretraining.

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While the use of negative pressure wound therapy (NPWT) with reticulated open cell foam (ROCF) is well established, the characteristics of ROCF do not allow for extended-wear use. There is the potential for dressing tissue ingrowth if left in place for greater than the recommended 2-3 days. An easy to use, novel peel and place dressing has been designed for extended wear with the wound management advantages of ROCF while alleviating the challenges of tissue ingrowth.

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We examined the Devil's Advocate lie detection method which is aimed at detecting lying about opinions. In this approach, participants give reasons for why they hold an opinion in the eliciting-opinion question and counter-arguments to their opinion in a devil's advocate question. Truth tellers (n = 55) reported their true opinion about protestor actions, whereas lie tellers (n = 55) reported the opposite of their true opinion.

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Background/objectives: Currently, all pregnant women with diabetes are asked to attend screening at least twice during pregnancy, even if no retinopathy is detected in early pregnancy. We hypothesise that for women with no diabetic retinopathy in early pregnancy, the frequency of retinal screening may be safely reduced.

Subjects/methods: In this retrospective cohort study, data for 4718 pregnant women attending one of three UK Diabetic Eye Screening (DES) Programmes between July 2011 and October 2019 was extracted.

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A man in his 60s presented for his medical retina clinic appointment, reporting increasing shortness of breath, aches and pains, and increasing insulin requirements during a difficult early lockdown. Wide-field colour fundus imaging (Optos Optomap) and an optical coherence tomography scan (Heidelberg Spectralis) revealed whitened and enlarged hyper-reflective vessels. Retinal colour photography also confirmed a creamy white discolouration of the vessels, which prompted the team to order a lipid profile.

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Purpose: To determine associations between deprivation using the Index of Multiple Deprivation (IMD and individual IMD subdomains) with incident referable diabetic retinopathy/maculopathy (termed rDR).

Methods: Anonymised demographic and screening data collected by the South-East London Diabetic Eye Screening Programme were extracted from September 2013 to December 2019. Multivariable Cox proportional models were used to explore the association between the IMD, IMD subdomains and rDR.

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Objective: There is limited information on the effect of ethnicity on the development of referable sight-threatening diabetic retinopathy (STDR) in people with type 1 diabetes. This study describes the risk factors for STDR in a diverse cohort of people with type 1 diabetes attending a regional diabetes eye screening service.

Research Design And Methods: Clinical and digital retinal imaging data from 1,876 people with type 1 diabetes (50% women, 72.

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Background: Sketching while narrating is an effective interview technique for eliciting information and cues to deceit. The current research examined the effects of introducing a Model Sketch in investigative interviews andis pre-registered on https://osf.io/kz9mc (accessed on 18 January 2022).

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Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and multi-output laterality, retinal presence, retinal field and gradability classification deep learning (DL) models for automated curation. The internal dataset comprised of 7743 images from DR screening (UK) with 1479 external test images (Portugal and Paraguay).

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We examined how much information British and Arab truth tellers and lie tellers volunteer in an initial free narrative. Based on cultural differences in communication styles we predicted that British interviewees would report more details and more complications than Arab interviewees (culture main effect). We further predicted that truth tellers would report more details and complications than lie tellers (veracity main effect), particularly in the British sample (Veracity × Culture interaction effect).

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Typically, truth-tellers report more detailed statements when interviewed immediately, compared to after delays (displaying forgetting), whereas liars report statements containing similar amounts of detail when interviewed immediately or after a delay (displaying a metacognitive error). Accordingly, the diagnostic utility of the 'richness-of-detail' cue is reduced after delays. We investigated if initial interviewing can facilitate lie-detection using the richness-of-detail cue in sub-optimal memorial conditions, that is, when (i) interviewing occurred after a three-week delay and (ii) truth-teller's attention during encoding was manipulated.

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Background/aims: Human grading of digital images from diabetic retinopathy (DR) screening programmes represents a significant challenge, due to the increasing prevalence of diabetes. We evaluate the performance of an automated artificial intelligence (AI) algorithm to triage retinal images from the English Diabetic Eye Screening Programme (DESP) into test-positive/technical failure versus test-negative, using human grading following a standard national protocol as the reference standard.

Methods: Retinal images from 30 405 consecutive screening episodes from three English DESPs were manually graded following a standard national protocol and by an automated process with machine learning enabled software, EyeArt v2.

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The application of alibi witness scenarios to deception detection has been overlooked. Experiment 1 was a study of the verifiability approach in which truth-telling pairs completed a mission together, whereas in lying pairs one individual completed this mission alone and the other individual committed a mock theft. All pairs were instructed to convince the interviewer that they completed the mission together by writing individual statements on their own followed by a collective statement together as a pair.

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Truth tellers provide less detail in delayed than in immediate interviews (likely due to forgetting), whereas liars provide similar amounts of detail in immediate and delayed interviews (displaying a metacognitive stability bias effect). We examined whether liar's flawed metacognition after delays could be exploited by encouraging interviewees to provide more detail via a Model Statement. Truthful and deceptive participants were interviewed immediately (n = 78) or after a three-week delay (n = 78).

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Research examining how truth tellers' and liars' verbal behavior is attenuated as a function of delay is largely absent from the literature, despite its important applied value. We examined this factor across 2 studies in which we examined the effects of a hypothetical delay (Experiment 1) or actual delay (Experiment 2) on liars' accounts. In Experiment 1-an insurance claim interview setting-claimants either genuinely experienced a (staged) loss of a tablet device (n = 40) or pretended to have experienced the same loss (n = 40).

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We examined how the presence of an interpreter during an interview affects eliciting information and cues to deceit, while using a method that encourages interviewees to provide more detail (model statement, MS). A total of 199 Hispanic, Korean and Russian participants were interviewed either in their own native language without an interpreter, or through an interpreter. Interviewees either lied or told the truth about a trip they made during the last twelve months.

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The present experiment examined whether people could be deterred from lying in an online insurance claim setting. A total of 96 participants were asked to submit a theft insurance claim. Reflecting real life, submitting a claim that went beyond the actual costs of the stolen items was associated with advantages and disadvantages.

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Cilioretinal artery territory infarction can occur in isolation or in association with other vascular compromise of the retinal circulation. Our patient, an 18-year-old woman with neurofibromatosis type 2, developed a cilioretinal artery territory infarction in the setting of papilledema. Our case, together with one previous report, suggests that cilioretinal artery territory infarction in the context of papilledema, although rare, is a real entity.

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Aims/hypothesis: This study evaluated whether repeated non-attendance for diabetic eye screening is associated with the risk of sight-threatening diabetic retinopathy (STDR).

Methods: This was a cohort study of 6,556 residents with diabetes who were invited for screening between 2008 and 2011 in a population-based eye screening programme in inner London and who attended for their first-ever screen in 2008. The proportion of participants with STDR was evaluated in relation to the number of years in which screening was missed.

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Objective: Annual diabetic eye screening has been implemented in England since 2008. This study aimed to estimate changes in the detection of retinopathy in the first 4 years of the program.

Research Design And Methods: Participants included 32,340 patients with type 2 diabetes resident in three London boroughs with one or more screening records between 2008 and 2011.

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In recent years researchers have started to focus on lying about intentions (Granhag, 2010). In the present experiment participants were interviewed about their forthcoming trip. We tested the hypothesis that liars (N=43) compared to truth tellers (N=43) would give fewer details to unexpected questions about planning, transportation and the core event, but an equal amount or more detail to expected questions about the purpose of the trip.

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Purpose: To provide estimates of visual impairment in people with diabetes attending screening in a multi-ethnic population in England (United Kingdom).

Methods: The Diabetic Retinopathy In Various Ethnic groups in UK (DRIVE UK) Study is a cross-sectional study on the ethnic variations of the prevalence of DR and visual impairment in two multi-racial cohorts in the UK. People on the diabetes register in West Yorkshire and South East London who were screened, treated or monitored between April 2008 to July 2009 (London) or August 2009 (West Yorkshire) were included in the study.

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Age-related macular degeneration (AMD) is a leading cause of visual loss in Western populations. Susceptibility is influenced by age, environmental and genetic factors. Known genetic risk loci do not account for all the heritability.

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