Tag: pubmed

Eur J Gastroenterol Hepatol. 2025 Jun 6. doi: 10.1097/MEG.0000000000003012. Online ahead of print.

ABSTRACT

The safety and therapeutic efficiency of tyrosine kinase inhibitors (TKIs) and programmed death-1 (PD-1) inhibitors in combination with hepatic artery infusion chemotherapy (HAIC) for patients with unresectable/advanced hepatocellular carcinoma (HCC) require further investigation. This meta-analysis aimed to thoroughly investigate the safety and efficacy of this triple combination therapy based on currently available research. PubMed, Embase, Cochrane Library, Web of Science, VIP, Wan Fang, and China National Knowledge Infrastructure were searched. Outcomes included complete response (CR), partial response (PR), stable disease, overall survival, progression-free survival, and treatment/laboratory-related adverse events. Stata15.1 software was used for random/fixed-effect model analysis. Ten studies with 1108 patients were incorporated in the analysis. For efficacy, the triple combination therapy achieved an improved CR rate [relative risk (RR): 2.76, 95% confidence interval (CI): 1.43-5.33] and PR rate (RR: 1.70, 95% CI: 1.01-2.86) than the control group. Moreover, the triple combination therapy decreased the 44% risk of death [hazard ratio (HR): 0.56, 95% CI: 0.46-0.67] and 37% risk of disease progression (HR: 0.63, 95% CI: 0.53-0.75) compared with the control group. The triple combination therapy group and the control group did not exhibit a statistical difference in treatment- or laboratory-related adverse events. In the management of unresectable/advanced HCC, HAIC in conjunction with PD-1 inhibitors and TKI exhibits both safety and efficacy, providing a scientific basis for clinical practice.

PMID:40489219 | DOI:10.1097/MEG.0000000000003012

ACS Chem Neurosci. 2025 Jun 9. doi: 10.1021/acschemneuro.5c00254. Online ahead of print.

ABSTRACT

ALS is a severe neurodegenerative disorder characterized by motor neuron degeneration, gut dysbiosis, immune dysregulation, and metabolic disturbances. In this study, shotgun metagenomics and ¹H nuclear magnetic resonance (NMR)-based metabolomics were employed to investigate the altered gut microbiome and metabolite profiles in individuals with ALS, household controls (HCs), and nonhousehold controls (NHCs). The principal component analysis (PCA) explained 33% of the variance, and the partial least-squares discriminant analysis (PLS-DA) model demonstrate R² and Q² values of 0.97 and 0.84, respectively, indicating an adequate model fit. The relative bacterial abundance was 99.34% in the ALS group and 98.94% in the HC group. Among the ten identified genera, Bifidobacterium, Lactobacillus, and Enterococcus were more prevalent in ALS individuals, while Lactiplantibacillus and Klebsiella were more abundant in the HC group. We identified 70 metabolites, including short-chain fatty acids (SCFAs), branched-chain amino acids (BCAAs), carbohydrates, and aromatic compounds, using NMR. Orthogonal partial least-squares discriminant analysis (O-PLS-DA) explained 15.8% of the variance, with a clear separation between the ALS and HC groups. Univariate receiver operating characteristic (ROC) analysis identified three fecal metabolites with AUC values above 0.70, including butyrate (0.798), propionate (0.727), and citrate (0.719). These metabolites may serve as potential biomarkers for ALS. The statistical model for metabolic pathway analysis revealed interconnected pathways, highlighting the complexity of metabolic dysregulation, as well as potential microbial and metabolic biomarkers in ALS. These results highlight the role of gut microbiome alterations in ALS and suggest potential avenues for therapeutic intervention.

PMID:40489211 | DOI:10.1021/acschemneuro.5c00254

Can J Exp Psychol. 2025 Jun 9. doi: 10.1037/cep0000381. Online ahead of print.

ABSTRACT

Psychological science is hard. This short article focuses on two issues. One has to do with the importance of understanding statistical power and how post hoc data explorations and selective reporting can lead to exaggerated estimates of the size of effects and the strength of relationships (which in turn contribute to replication failures). The other topic is tools research psychologists can use to improve the reproducibility of their procedures and analyses. The article closes with a comment on the deeper challenge of improving the usefulness and testability of theories in psychology. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40489205 | DOI:10.1037/cep0000381

Fam Syst Health. 2025 Jun 9. doi: 10.1037/fsh0000998. Online ahead of print.

ABSTRACT

INTRODUCTION: As demand for integrated behavioral health services grows, understanding specialized training programs’ contribution to workforce development becomes crucial. This study examines the career trajectories of graduates from a primary care psychology internship program in Puerto Rico to inform integrated care workforce strategies.

METHOD: We analyzed data from an annual program survey conducted between March and June 2024 with 62 graduates (71% response rate) from a primary care psychology internship program (2007-2023 cohorts). The survey captured professional credentials, employment characteristics, and service patterns. Hispanic women comprised 85.5% (n = 53) of participants, who represented consecutive cohorts over 15 years. We analyzed descriptive statistics for licensure status, employment settings, leadership roles, and the population served.

RESULTS: Most graduates (72.6%, n = 45) obtained psychology licensure. While 32.3% (n = 20) completed postdoctoral training, most entered practice directly. Currently, 41.9% (n = 26) work in primary care settings, and 51.6% (n = 32) in integrated care environments. Half of the sample (50.0%, n = 31) hold leadership positions. Most (61.3%, n = 38) work with underserved populations, with 46.8% (n = 29) working with people who experience substance use disorders.

DISCUSSION: The findings suggest that program graduates are engaged in roles within integrated care and underserved areas. However, structural barriers, including limited postdoctoral opportunities and regional economic factors, influence career development paths. This study highlights the need to systematically examine the career trajectories of integrated care internship graduates while considering the contextual factors that shape workforce development. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40489186 | DOI:10.1037/fsh0000998

Psychol Bull. 2025 May;151(5):600-667. doi: 10.1037/bul0000465.

ABSTRACT

The scientific output generated in psychology has surged in recent decades, including the number of studies investigating psychological treatments. To keep track of all this evidence, we developed the “Metapsy” meta-analytic research domain: a comprehensive system of open databases and tailored software that allows for rapid evidence generation. We leverage this novel infrastructure to summarize the effect of psychological treatment across 12 mental health problems and trace back the global expansion of psychotherapy research over the past 50 years. Including 1,029 studies with 85,952 patients, our results indicate small to moderate average benefits in treating psychosis (g = 0.32), suicidal ideation (g = 0.34), borderline personality disorder (g = 0.46), and prolonged grief (g = 0.49). In contrast, psychological interventions have large average effects on depression (g = 0.73), problem gambling (g = 0.80), panic (g = 0.83), generalized anxiety (g = 0.86), social anxiety (g = 0.95), obsessive-compulsive (g = 1.18), posttraumatic stress disorder (g = 1.18), and phobias (g = 1.25). Most available evidence (83.4%-86.1%) comes from high-income and Western countries, but their dominance is declining. We found no indication that psychotherapy is less effective in low- and middle-income countries (g = 0.38-2.41) or non-Western cultures (g = 0.74-2.20). We discuss ways to further enhance psychotherapy’s public health impact, as well as how the meta-analytic research domain concept may be extended to other types of psychological research in the future. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40489181 | DOI:10.1037/bul0000465

Psychol Assess. 2025 Jun 9. doi: 10.1037/pas0001401. Online ahead of print.

ABSTRACT

Borderline personality disorder (BPD) is a severe mental disorder that onsets during adolescence. Research examining sociocontextual differences in BPD presentation is limited and provides mixed results, highlighting the importance of further investigation and the evaluation of potential measure effects. This study assessed measurement invariance of two widely used adolescent measures (self-report-the Borderline Personality Features Scale for Children and semistructured interview-Childhood Interview of Diagnostic and Statistical Manual Borderline Personality Disorder) of BPD. Comparisons across inpatient psychiatric settings (n = 521 at a private inpatient; n = 378 at a public inpatient) and across self-identified Hispanic/Latinx (n = 193), Black (n = 132), and White (n = 584) adolescents were conducted. Baseline models revealed inadequate model fit for a single-factor structure, requiring modifications to the intended structure of these measures. With these modifications, results identified partial scalar invariance across settings and racial/ethnic groups for both measures and full measurement invariance for the modified CI-BPD across settings. This study is the first to test whether these measures of BPD function differently based on an indicator of socioeconomic functioning and across racial/ethnic groups among inpatient adolescents. Results suggest that modifications to these measures should be explored further, which are discussed with the goal of achieving measures that can accurately assess and compare BPD severity in adolescents. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

PMID:40489150 | DOI:10.1037/pas0001401

Small. 2025 Jun 9:e2505051. doi: 10.1002/smll.202505051. Online ahead of print.

ABSTRACT

Traditional characterization techniques for vanadium flow batteries (VFBs) electrodes demonstrate significant limitations in resolving spatially heterogeneous reaction characteristics on electrode surfaces and efficiently characterizing large-scale working electrodes. Consequently, mapping electrode activity distributions and establishing efficient screening strategies for high-performance electrodes are critical for advancing VFBs research. Building on prior studies, this work employs weak measurement imaging (WMi) methodology to spatially characterize reaction activity distributions on VFBs positive electrode surfaces and quantitatively analyze electrode reaction parameters (i_pa and i_pc). By statistically comparing extensive electrochemical data from working electrodes (randomly sampled from large graphite felt substrates and tested via electrochemical workstation, EW) with WMi-derived data from individual electrodes, a pronounced linear correlation between oxidation and reduction peak current densities (i_pa and i_pc) in VFBs working electrodes is identified. Systematic investigations of graphite felt (GF) and thermally activated graphite felt (TGF) electrodes under varied operational conditions confirmed this statistical relationship between i_pa and i_pc while validating the reliability of the WMi sensing system. This findings demonstrate that the WMi sensing system serves as a robust and versatile analytical tool for quantitatively characterizing electrode performance parameters. This approach facilitates efficient screening of high-performance VFBs working electrodes, thereby accelerating the development of flow battery technologies.

PMID:40489124 | DOI:10.1002/smll.202505051

JAMA Netw Open. 2025 Jun 2;8(6):e2513826. doi: 10.1001/jamanetworkopen.2025.13826.

ABSTRACT

IMPORTANCE: Dental caries is a pervasive and inequitable chronic disease stemming from a lack of access to preventive and therapeutic care. Minimally invasive interventions may be provided in schools to treat caries in children.

OBJECTIVE: To compare the effectiveness of silver diamine fluoride (SDF) with atraumatic restorative treatment (ART) in the control of dental caries among US schoolchildren.

DESIGN, SETTING, AND PARTICIPANTS: The CariedAway study was a cluster randomized clinical trial conducted from February 1, 2019, to June 1, 2023, in 48 primary schools in New York City. Participants were followed up for up to 4 years. Schools with a student population of at least 50% Black and/or Hispanic or Latino students and 80% receiving free or reduced-cost lunch were eligible. Within enrolled schools, any child with parental informed consent was eligible. Treatment was provided biannually. Analysis was restricted to children aged 5 to 13 years who completed at least 1 follow-up observation and had at least 1 tooth surface with dental caries.

INTERVENTIONS: Participants were randomized at the school level to receive SDF or ART.

MAIN OUTCOMES AND MEASURES: Any surface lesion with an International Caries Detection and Assessment System score of 5 or 6 was recorded as caries. The primary outcome was the number of carious surfaces that had a recurrence of caries. Analysis was performed on an intent-to-treat basis.

RESULTS: Of the 17 741 children eligible, 7418 were randomized (mean [SD] age at baseline, 7.6 [1.9] years; 4006 girls [54.0%]), and 1668 were analyzed (mean [SD] age at baseline, 6.8 [1.5] years; 881 girls [52.8%]; 861 in the SDF group and 807 in the ART group). The total surface-level failure in the SDF group was 38.3% (2167 of 5651 carious surfaces) compared with 45.5% (2116 of 4647) in the ART group. There were 2167 surface failures observed among SDF participants over 1372 person-years compared with 2116 ART surface failures over 1291 person-years (incidence rate ratio, 0.96 [95% CI, 0.91-1.02]). At the person level, 45.5% of SDF recipients (392 of 861) experienced at least 1 surface failure compared with 53.3% of ART recipients (430 of 807; odds ratio, 0.51 [95% CI, 0.39-0.66]). There were no significant differences in the risk of recurrent surface failure between treatments (hazard ratio, 0.92 [95% CI, 0.82-1.04]).

CONCLUSIONS AND RELEVANCE: In this study of treatments for caries, similar failures in surface control were observed among children receiving SDF or ART. These results support the use of secondary preventive therapies for caries in schools.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03442309.

PMID:40489112 | DOI:10.1001/jamanetworkopen.2025.13826

JAMA Netw Open. 2025 Jun 2;8(6):e2514316. doi: 10.1001/jamanetworkopen.2025.14316.

ABSTRACT

IMPORTANCE: Active travel modes, such as walking and cycling, are feasible and readily embraced forms of physical activity, but their association with dementia risk and brain structure remains unclear.

OBJECTIVES: To investigate the long-term association between travel modes and dementia risk and brain structural metrics and to evaluate whether genetic predisposition could modify the association between travel modes and dementia risk.

DESIGN, SETTING, AND PARTICIPANTS: This prospective cohort study included data collected from the UK Biobank from March 13, 2006, to October 1, 2010. Data were analyzed from March to October 2024.

EXPOSURES: Travel modes assessed using the question “In the last 4 weeks, which forms of transport have you used most often to get about (not including any journeys to and from work)?” and categorized into 4 groups: nonactive, walking, mixed-walking, and cycling and mixed-cycling mode.

MAIN OUTCOMES AND MEASURES: The incidence of all-cause dementia (including young-onset dementia [YOD] and late-onset dementia [LOD]) was the primary outcome, and dementia subtypes, such as Alzheimer disease (AD) and brain structure, were the secondary outcomes; all were identified through hospital records and death registers. Brain structure was measured by a magnetic resonance imaging scan. Travel mode and risk of incident dementia were assessed using Cox proportional hazards regression models with hazard ratios and 95% CIs.

RESULTS: The study encompassed 479 723 participants (mean [SD] age, 56.5 [8.1] years; 260 730 females [54.4%]), including 271 690 in the YOD analyses and 334 939 in the LOD analyses. Over a median follow-up of 13.1 years (IQR, 12.8-13.5 years), 8845 cases of dementia (1.8%) and 3956 cases of AD (0.8%) were recorded. Compared with a nonactive travel mode, multivariable-adjusted hazard ratios for cycling and mixed-cycling were 0.81 (95% CI, 0.73-0.91) for all-cause dementia, 0.78 (95% CI, 0.66-0.92) for AD, 0.60 (95% CI, 0.38-0.95) for YOD, and 0.83 (95% CI, 0.75-0.93) for LOD. A significant interaction between travel mode and genetic susceptibility in the all-cause dementia analysis (P = .02 for interaction) and the LOD analysis (P = .04 for interaction) was observed; specifically, for the cycling and mixed-cycling groups, the risks of all-cause dementia and LOD were lower among those without apolipoprotein E ε4 (APOE ε4) carrier status (all-cause dementia: hazard ratio [HR], 0.74 [95% CI, 0.63-0.87]; LOD: HR, 0.75 [95% CI, 0.63-0.89]) compared with those with APOE ε4 carrier status (all-cause dementia: HR, 0.88 [95% CI, 0.76-1.02]; LOD: HR, 0.91 [95% CI, 0.78-1.05]). The cycling and mixed-cycling mode was significantly associated with a higher hippocampal volume (β, 0.05 [95% CI, 0.02-0.08]). Genetic risk significantly modified the association with all-cause dementia (P = .02 for interaction) and LOD (P = .04 for interaction). Specifically, for the cycling and mixed-cycling groups, the risk of all-cause dementia was lower among those without APOE ε4 (HR, 0.74 [95% CI, 0.63-0.87]) compared with those with APOE ε4 (HR, 0.88 [95% CI, 0.76-1.02]). Similarly, the risk of LOD was lower among those without APOE ε4 (HR, 0.75 [95% CI, 0.63-0.89]) compared with those with APOE ε4 (HR, 0.91 [95% CI, 0.78-1.05]).

CONCLUSIONS AND RELEVANCE: The findings of this cohort study suggest an association between active travel mode and incident dementia and brain structure. The cycling and mixed-cycling mode was associated with a reduced risk of all-cause dementia, including YOD, LOD, and AD, as well as an increased hippocampal volume, suggesting a promising approach for maintaining brain health.

PMID:40489111 | DOI:10.1001/jamanetworkopen.2025.14316

JAMA Netw Open. 2025 Jun 2;8(6):e2514402. doi: 10.1001/jamanetworkopen.2025.14402.

ABSTRACT

IMPORTANCE: Provisional estimates of fatal drug overdoses in the US are lagging by 6 months. Efforts to estimate the overdose burden for this 6-month lag window require up-to-date data, such as real-time urine drug test (UDT) data, capable of identifying sudden changes in the overdose trajectory, such as the increase in overdose deaths experienced at the beginning of the COVID-19 pandemic.

OBJECTIVE: To evaluate the utility of using aggregated UDT data to estimate national-level drug overdose deaths for the 6-month lag window in which overdose data are unavailable.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included 3 135 748 urine samples submitted for UDT by Millennium Health from patients aged 18 years or older in substance use disorder treatment health care facilities across the US between January 1, 2015, and January 31, 2025. Urine drug test results were aggregated to generate monthly positivity rates and mean creatinine-normalized levels of fentanyl and methamphetamine (among the sample testing positive for fentanyl). Monthly, national drug overdose mortality counts were obtained from the Centers for Disease Control and Prevention.

EXPOSURES: Urine drug testing.

MAIN OUTCOMES AND MEASURES: Drug overdose death totals were estimated for every 6-month period from January to June 2019 through August 2024 to January 2025 by training generalized linear models with a negative binomial distribution on the preceding 4 years of data and using monthly UDT data to generate overdose estimates for the 6-month lag window of interest. Mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE) were calculated by comparing projected monthly estimates with observed overdose death totals.

RESULTS: A total of 3 135 748 UDT specimens (57.2% from men; mean [SD] age, 38.1 [12.4] years) were included in this study. From 2019 to August 2024, 537 104 people died of an overdose in the US, with a substantial increase in early 2020 at the onset of the COVID-19 pandemic. The UDT modeling strategy (MAPE, 7.1%; MAE, 540.9 deaths per month; RMSE, 659.4) outperformed the baseline autoregressive integrated moving average model (MAPE, 9.0%; MAE, 704.9 deaths per month; RMSE, 1075.8) across all metrics. Furthermore, the model detected the sudden increase in overdose deaths at the start of the COVID-19 pandemic.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, findings suggested that aggregated UDT data may be used to estimate up-to-date overdose death trends. Model implementation can be improved by introducing additional exposure variables, such as those related to drug seizures and syndromic surveillance.

PMID:40489110 | DOI:10.1001/jamanetworkopen.2025.14402