BACKGROUND: Gaming disorder (GD) is a new official diagnosis in the International Classification of Diseases, 11th Revision, and with its recognition, the need to offer treatment for the condition has become apparent. More knowledge is needed about the type of treatment needed for this group of patients.
OBJECTIVE: This study aims to evaluate the effectiveness and acceptability of a novel module-based psychological treatment for GD based on cognitive behavioral therapy and family therapy.
METHODS: This study is a nonrandomized intervention study, with a pretest, posttest, and 3-month follow-up design. It will assess changes in GD symptoms, psychological distress, and gaming time, alongside treatment satisfaction, working alliance, and a qualitative exploration of patients\' and relatives\' experiences of the treatment.
RESULTS: This study started in March 2022 and the recruitment is expected to close in August 2024.
CONCLUSIONS: This study evaluates the effectiveness and acceptability of a psychological treatment for patients with problematic gaming behavior and GD. It is an effectiveness trial and will be conducted in routine care. This study will have high external validity and ensure that the results are relevant for a diverse clinical population with psychiatric comorbidity.
BACKGROUND: ClinicalTrials.gov NCT06018922; https://clinicaltrials.gov/study/NCT06018922.
UNASSIGNED: DERR1-10.2196/56315.

Gastrointestinal function plays a pivotal role in nutrient absorption and overall digestive health. Abnormal gastric emptying is closely linked to type 2 diabetes, impacting blood glucose regulation and causing gastrointestinal symptoms. This study aims to investigate and compare segmental transit times, motility indices, and micromilieu between Greenlandic Inuit and Danish individuals with and without type 2 diabetes. We included forty-four Greenlandic Inuit, twenty-three of whom had type 2 diabetes, and age and gender-matched Danish individuals. Segmental transit time, motility, and luminal environment were measured using the SmartPill®. Greenlandic controls displayed shorter gastric emptying time (GET) (163 min), higher gastric median pH (2.0 pH) and duodenal median contractions (18.2 mm Hg) compared to Greenlanders with type 2 diabetes (GET: 235 min, pH:1.9, median duodenal contraction 18.4 mm Hg) and Danish controls (GET: 190, pH:1.2 median duodenal contraction 17.5 mmHg). Despite similar anti-diabetic management efforts, variations in gastrointestinal physiology were evident, highlighting the complexity of diabetes and its interaction with ethnicity, suggesting potential dietary or even genetic influences, emphasising the necessity for personalised diabetes management approaches. Finally, the study opens possibilities for future research, encouraging investigations into the underlying mechanisms linking genetics, diet, and gastric physiology, as an understanding of factors can lead to more effective, tailored strategies for diabetes care and improved digestive health in diverse populations.

OBJECTIVE: To explore the predictive potential of serial computed tomography (CT) radiology reports for pancreatic cancer survival using natural language processing (NLP).
METHODS: Deep-transfer-learning-based NLP models were retrospectively trained and tested with serial, free-text CT reports, and survival information of consecutive patients diagnosed with pancreatic cancer in a Korean tertiary hospital was extracted. Randomly selected patients with pancreatic cancer and their serial CT reports from an independent tertiary hospital in the United States were included in the external testing data set. The concordance index (c-index) of predicted survival and actual survival, and area under the receiver operating characteristic curve (AUROC) for predicting 1-year survival were calculated.
RESULTS: Between January 2004 and June 2021, 2,677 patients with 12,255 CT reports and 670 patients with 3,058 CT reports were allocated to training and internal testing data sets, respectively. ClinicalBERT (Bidirectional Encoder Representations from Transformers) model trained on the single, first CT reports showed a c-index of 0.653 and AUROC of 0.722 in predicting the overall survival of patients with pancreatic cancer. ClinicalBERT trained on up to 15 consecutive reports from the initial report showed an improved c-index of 0.811 and AUROC of 0.911. On the external testing set with 273 patients with 1,947 CT reports, the AUROC was 0.888, indicating the generalizability of our model. Further analyses showed our model\'s contextual interpretation beyond specific phrases.
CONCLUSIONS: Deep-transfer-learning-based NLP model of serial CT reports can predict the survival of patients with pancreatic cancer. Clinical decisions can be supported by the developed model, with survival information extracted solely from serial radiology reports.

OBJECTIVE: Although both urachal (U) and nonurachal (NU) bladder adenocarcinomas (adenoCas) share several histologic similarities, they differ in location and sometimes in therapeutic options. We analyzed the differences in genomic alterations (GAs) between these tumor entities, with the aim of identifying potential therapeutic targets for clinical trials.
METHODS: Overall, 133 U and 328 NU adenoCas were analyzed. Hybrid capture-based comprehensive genomic profiling (CGP) was performed to evaluate all classes of GA. Germline status of GA was predicted using a validated somatic-germline computational method. CGP was performed using the FoundationOne and FoundationOne CDx assays (Foundation Medicine, Inc).
RESULTS: The most frequent GA in both U and NU cohorts included TP53 (86.5% v 81.1%) and KRAS (34.6% v 27.7%). GAs characteristic of colorectal adenoCa, such as SMAD4 (P = .069) and GNAS (P = .071), were more common in U versus NU. Conversely, TERT (P < .01) and RB1 (P = .071) were more prevalent in NU adenoCa. Notably, both U and NU adenoCas exhibited possibly targetable GA in PIK3CA (7.5% v 7.9%) and ERBB2 (6.8% v 7.6%). Biomarkers associated with potential benefit from anti-PD-1/L1 were infrequent. Median tumor mutational burden was 2.6 and 3.5 mutations per megabase for U and NU, respectively, and PD-L1 expression >1% was rare. Genomic ancestry and genomic signature distribution were similar in both tumor types. GAs were most commonly of somatic nature. Limitations include lack of clinical data, tumor heterogeneity, and retrospective nature.
CONCLUSIONS: U and NU adenoCAs revealed differences in GA, with PIK3CA and ERBB2 being identified as putative therapeutic targets. Biomarkers of response to anti-PD-(L)1 were uncommon. Results highlight the potential of CGP to personalize treatment options of bladder adenoCa and inform clinical trial designs.

OBJECTIVE: Cerebral amyloid angiopathy (CAA)-associated lobar intracerebral hemorrhage (ICH) has a high risk of recurrence, but the underlying mechanisms remain uncertain. We, therefore, aimed to characterize patterns of recurrent ICH.
METHODS: We investigated early recurrent ICH (≥1 recurrent ICH event within 90 days of the index event) and ICH clusters (≥2 ICH events within 90 days at any time point) in 2 large cohorts of consecutive patients with first-ever ICH and available MRI.
RESULTS: In 682 included patients (median age 68 years, 40.3% female, median follow-up time 4.1 years), 18 (2.6%) had an early recurrent ICH, which was associated with higher age and CAA. In patients with probable CAA, the risk of early recurrent ICH was increased 5-fold within the first 3 months compared with during months 4-12 (hazard ratio 5.41, 95% CI 2.18-13.4) while no significant difference was observed in patients without CAA. In patients with an ICH cluster, we observed spatial clustering (recurrent ICH within close proximity of index ICH in 63.0%) and a tendency for multiple sequential hemorrhages (≥3 ICH foci within 3 months in 44.4%).
CONCLUSIONS: Our data provide evidence of both temporal and spatial clustering of ICH in CAA, suggesting a transient and localized active bleeding-prone process.

OBJECTIVE: Stroke mortality is more common in low-income and middle-income nations such as Mexico. Prognosis data typically rely on short-term hospital follow-ups, revealing high mortality rates due to systemic complications and early recurrence. We aim to explore stroke\'s long-term impact by examining all-cause and cause-specific mortality.
METHODS: We analyzed data from the Mexico City Prospective Study (1998-2004) with known mortality outcomes until December 2022. Baseline variables were compared between participants who had stroke and nonstroke participants. Cox proportional hazard regression assessed each variable\'s contribution to overall mortality. Subsequent analysis within the stroke subgroup aimed to identify unique risk factors of mortality, using Cox regression models adjusted for age, sex, and time since stroke.
RESULTS: Among 145,537 eligible participants, 1,492 (1.0%) had a history of stroke. Participants who had stroke were older (57.58 vs 50.16, p < 0.001); had lower mean weekly income ($108.24 vs $176.14, p < 0.001); had higher alcohol intake and smoking frequency; and had more frequent comorbidities such as hypertension (48.9 vs 19.3%, p < 0.001), diabetes (23.4 vs 12.9%, p < 0.001), and ischemic heart disease (5.4 vs 1.0%, p < 0.001). They had a significantly increased risk of death from any cause (hazard ratio [HR] 2.59, 95% CI 2.37-2.83, p < 0.001). Deceased participants with stroke were more likely to be male, with a higher prevalence of diabetes, hypertension, and abnormal waist-hip index. Stroke increased the risk of death from cardiac (HR 3.56, 95% CI 3.02-4.19, p < 0.001), renal (HR 2.05, 95% CI 1.58-2.66, p < 0.001), and pulmonary (HR 2.29, 95% CI 1.79-2.92, p < 0.001) causes.
CONCLUSIONS: This study confirms stroke\'s association with higher mortality rates, especially from cardiac, renal, and pulmonary causes in Mexico. It underscores the elevated prevalence of cardiovascular comorbidities and adverse socioeconomic profiles among participants who had stroke and those who died with a history of stroke.

The objectives of this article are to report 2 cases of nonsurgical endodontic treatment for the management of periapical lesions associated with large cortical bone perforations and review the literature on the clinical efficacy of nonsurgical endodontic treatment to draw insights from published case reports. Large, cyst-like periapical lesions in 2 patients were successfully treated with combined modalities of root canal treatment, antimicrobial therapy (calcium hydroxide and triple antibiotic paste [TAP]), and mineral trioxide aggregate (MTA) obturation of the canal space. In both cases, instrumentation was extended 1 mm beyond the apical foramen to facilitate drainage through the root canal, because it was assumed that the periapical lesion could be cystic. After instrumentation, TAP was placed within the canal space to aid in disinfection and healing of the dental, pulpal, and periapical conditions. In both patients, the teeth were asymptomatic and functional at follow-up examinations (case 1, 3 years; case 2, 30 months). Supporting the positive outcomes in the 2 clinical cases, the published literature suggests that the use of biocompatible materials such as MTA, which can promote the deposition of hydroxyapatite, has the potential to contribute to tissue regeneration and the healing of large periapical lesions.

Prostate cancer is the second most common neoplasia amongst men worldwide. Hereditary susceptibility and ancestral heritage are well-established risk factors that explain the disparity trends across different ethnicities, populations, and regions even within the same country. The Y-chromosome has been considered a prototype biomarker for male health. African, European, Middle Eastern, and Hispanic ancestries exhibit the highest incidences of such neoplasia; Asians have the lowest rates. Nonetheless, the contribution of ancestry patterns has been scarcely explored among Latino males. The Mexican population has an extremely diverse genetic architecture where all the aforementioned ancestral backgrounds converge. Trans-ethnic research could illuminate the aetiology of prostate cancer, involving the migratory patterns, founder effects, and the ethnic contributions to its disparate incidence rates. The contribution of the ancestral heritage to prostate cancer risk were explored through a case-control study (152 cases and 372 controls) study in Mexican Mestizo males. Seventeen microsatellites were used to trace back the ancestral heritage using two Bayesian predictor methods. The lineage R1a seems to contribute to prostate cancer (ORadjusted:8.04, 95%CI:1.41-45.80) development, whereas E1b1a/E1b1b and GHIJ contributed to well-differentiated (Gleason ≤ 7), and late-onset prostate cancer. Meta-analyses reinforced our findings. The mentioned lineages exhibited a connection with the Middle Eastern and North African populations that enriched the patrilineal diversity to the southeast region of the Iberian Peninsula. This ancestral legacy arrived at the New World with the Spanish and Sephardim migrations. Our findings reinforced the contribution of family history and ethnic background to prostate cancer risk, although should be confirmed using a large sample size. Nonetheless, given its complex aetiology, in addition to the genetic component, the lifestyle and xenobiotic exposition could also influence the obtained results.

OBJECTIVE: Distal radius fractures (DRFs) account for approximately 18% of fractures in patients 65 years and older. While plain radiographs are standard, the value of high-resolution computed tomography (CT) for detailed imaging crucial for diagnosis, prognosis, and intervention planning, and increasingly recognized. High-definition 3D reconstructions from CT scans are vital for applications like 3D printing in orthopedics and for the utility of mobile C-arm CT in orthopedic diagnostics. However, concerns over radiation exposure and suboptimal image resolution from some devices necessitate the exploration of advanced computational techniques for refining CT imaging without compromising safety. Therefore, this study aims to utilize conditional Generative Adversarial Networks (cGAN) to improve the resolution of 3 mm CT images (CT enhancement).
METHODS: Following institutional review board approval, 3 mm-1 mm paired CT data from 11 patients with DRFs were collected. cGAN was used to improve the resolution of 3 mm CT images to match that of 1 mm images (CT enhancement). Two distinct methods were employed for training and generating CT images. In Method 1, a 3 mm CT raw image was used as input with the aim of generating a 1 mm CT raw image. Method 2 was designed to emphasize the difference value between the 3 mm and 1 mm images; using a 3 mm CT raw image as input, it produced the difference in image values between the 3 mm and 1 mm CT scans. Both quantitative metrics, such as peak signal-to-noise ratio (PSNR), mean squared error (MSE), and structural similarity index (SSIM), and qualitative assessments by two orthopedic surgeons were used to evaluate image quality by assessing the grade (1~4, which low number means high quality of resolution).
RESULTS: Quantitative evaluations showed that our proposed techniques, particularly emphasizing the difference value in Method 2, consistently outperformed traditional approaches in achieving higher image resolution. In qualitative evaluation by two clinicians, images from method 2 showed better quality of images (grade: method 1, 2.7; method 2, 2.2). And more choice was found in method 2 for similar image with 1 mm slice image (15 vs 7, p = 201).
CONCLUSIONS: In our study utilizing cGAN for enhancing CT imaging resolution, the authors found that the method, which focuses on the difference value between 3 mm and 1 mm images (Method 2), consistently outperformed.

At a time when ambitious environmental management initiatives are required to protect and restore aquatic ecosystems, public trust in the science that underpins environmental policy and decision-making is waning. This decline in public trust coincides with a rise in misinformation, and threatens to undermine public support for, and participation in, environmental protection. Our study investigates the prevalence and predictors of mistrust in science associated with the protection and management of the Great Barrier Reef (GBR) and its catchments. Using survey data from 1,877 residents of the GBR region, we identify environmental values, perceptions, and attitudes that are associated with science mistrust. Our results include a typology of GBR science trust and scepticism. Science-sceptical respondents, representing 31% of our sample, were likely to perceive waterway management decisions as being unfair, felt less responsible, and were less motivated to contribute to improving waterway health than those with greater trust in science. Science-sceptical respondents also had differing perceptions of some threats to waterways, in particular climate change. However, similarities and \'common ground\' between respondents with varying levels of trust in science included a shared recognition of the importance of waterways\' ecosystem services, and a shared perception of the relative health and problems within their regions\' waterways. Our findings can help to break down assumptions about science-sceptical groups in the GBR region and elsewhere. We offer recommendations to guide more constructive engagement that seeks to restore trust and build consensus on mutual goals and pathways to protect vital ecosystem functions and services.