Trends in the corpus of literature on endoscopic third ventriculostomy: a bibliometric analysis spanning 3 decades.

OBJECTIVE: The objective of this study was to report the results of a bibliometric analysis on the modern corpus of literature pertaining to endoscopic third ventriculostomy (ETV). Prior bibliometrics studies on ETV have focused on highly cited articles, but an advanced bibliometric analysis has not yet been conducted. METHODS: The authors queried the Web of Science (WoS) for (ALL = (endoscopic third ventriculostomy)) OR (ALL = (ETV) AND ALL = (neurosurgery)). Articles or reviews published in English were included. Articles, along with their metadata, were exported. Statistical, bibliometric, and network analyses were performed using the Bibliometrix R package and various Python packages. Reference publication year spectroscopy (RPYS), a method that analyzes the frequency with which references are cited in terms of these references' publication years, was employed to explore the historical roots of the field. RESULTS: Between 1994 and 2023, 1663 documents were identified (1382 articles) from 5457 authors. The mean annual growth rate of publications was 4.9%. International coauthorship increased 4-fold over this time period and was noted for 18.95% of published studies from 2011 to 2023. We observed that Child's Nervous System published the most articles, Journal of Neurosurgery (JNS) articles were cited most frequently, and JNS: Pediatrics articles had the highest impact. Female coauthorship increased from < 1% of published studies before 2000 to 19% by 2022, with an increase in female first authorship from 2% in 2005 to 22% in 2022 and at least 1 female coauthor rising from 3% in 2000 to 68% in 2022. Likewise, minority authorship has increased, as in the early ETV literature > 75% of authors were White while currently only 43% are White. The authors of this study also identified the most prolific authors on the subject. Early in the publication record, etiological and technical terms such as "aqueductal stenosis" and "technical note" predominated. More recently, "complications," "failure," "success," "neuroendoscopy," and "choroid plexus cauterization" were prominent. Utilizing RPYS, the authors identified 32 articles that comprise the foundational articles on ETV, published between 1966 and 2010. CONCLUSIONS: Interest in ETV increased in the 1990s with the advent of advanced endoscopic technologies-particularly digital video. The focus of research has shifted from etiology to outcomes, complication management, and technical mastery.

Characterizing Acute Pulmonary Embolism Cases Diagnosed at an Emergency Department Revisit Using a Statewide Clinical Registry.

STUDY OBJECTIVE: To assess the rate and characteristics of acute pulmonary embolism (PE) cases diagnosed in the emergency department (ED) following an ED discharge visit within 10 days. METHODS: This is a retrospective analysis of 40 EDs in a statewide clinical registry from 2017 to 2022. We identified adult patients with acute PEs diagnosed in the ED. We assessed PE cases wherein a prior ED visit for the same patient resulting in discharge had taken place within 10 days without interval hospitalization. We then characterized the overall rate of revisit PE cases per overall acute PE cases and per 10,000 ED discharges. We also reported on subgroups of revisit cases where the preceding visit resulted in diagnosis of COVID-19, other cardiopulmonary conditions, and cardiopulmonary symptom codes (eg, chest pain, unspecified). RESULTS: Of 24,525 acute PEs, 1,202 (4.9%, 95% confidence interval [CI] 4.6% to 5.2%) had an ED discharge within the preceding 10 days (2.0 per 10,000 ED discharges, 95% CI 1.9 to 2.1). Two hundred thirty-three (19.4%) were originally discharged with a COVID-19 diagnosis, 107 (8.9%) were originally discharged with another cardiopulmonary condition, and 201 (16.7%) were cases discharged with a nonspecific cardiopulmonary symptom code. Discharges with diagnoses of COVID-19, pneumonia, and pleural effusion had higher rates of revisits with acute PE. CONCLUSION: In this retrospective analysis, about 1 in 20 acute PEs and 2 in 10,000 ED discharges were associated with an ED revisit for acute PE. Some cases may represent potential diagnostic opportunities, whereas others may be progression of disease, risk factors for PE, or unrelated.

Cost Analysis of Dropless Cataract Surgery Prophylaxis with Intracameral Antibiotics and Subconjunctival Steroids.

PURPOSE: To determine whether dropless, injection-based cataract surgery prophylaxis with intracameral antibiotic and subconjunctival steroid may reduce healthcare system costs and patient out-of-pocket costs compared to topical medication regimens. SETTING: United States national medical expenditures database. DESIGN: Retrospective cost analysis. METHODS: Costs were analyzed for topical ophthalmics from the 2020 Medical Expenditure Panel Survey (MEPS) and for dropless medications from pharmaceutical invoices/catalogs. Main outcomes included system costs, from insurance and patient payments, and out-of-pocket costs for cataract surgery topical and dropless, injection-based prophylactic medication regimens, per eye and nationally. System costs for individual topical medications and same-class dropless, injection-based medications were compared using two-sided, one-sample t-tests. RESULTS: There were 583 prophylactic topical ophthalmic purchases in MEPS. Mean system costs per eye were $76.20 ± SD 39.07 for the lowest cost topical steroid (prednisolone) compared to $4.01 for the lowest cost subconjunctival steroid (triamcinolone acetonide) (p < 0.001). Per eye, the lowest cost dropless, injection-based regimen, at $15.91, results in an $87.99 (84.7%) reduction in overall healthcare costs and a $43.64 (100%) reduction in patient out-of-pocket costs relative to the lowest cost topical regimen ($103.90 ± 43.14 mean system cost and $43.64 ± 37.32 mean out-of-pocket cost per eye). Use of intracameral moxifloxacin and subconjunctival triamcinolone acetonide can reduce annual national healthcare system and out-of-pocket costs up to $450,000,000 and $225,000,000, respectively. CONCLUSIONS: An evidence-based cataract surgery prophylactic medication regimen of intracameral moxifloxacin and subconjunctival triamcinolone acetonide can reduce healthcare system and patient out-of-pocket costs in comparison to various topical regimens.

Evaluation of large language models as a diagnostic aid for complex medical cases.

Background: The use of large language models (LLM) has recently gained popularity in diverse areas, including answering questions posted by patients as well as medical professionals. Objective: To evaluate the performance and limitations of LLMs in providing the correct diagnosis for a complex clinical case. Design: Seventy-five consecutive clinical cases were selected from the Massachusetts General Hospital Case Records, and differential diagnoses were generated by OpenAI's GPT3.5 and 4 models. Results: The mean number of diagnoses provided by the Massachusetts General Hospital case discussants was 16.77, by GPT3.5 30 and by GPT4 15.45 (p < 0.0001). GPT4 was more frequently able to list the correct diagnosis as first (22% versus 20% with GPT3.5, p = 0.86), provide the correct diagnosis among the top three generated diagnoses (42% versus 24%, p = 0.075). GPT4 was better at providing the correct diagnosis, when the different diagnoses were classified into groups according to the medical specialty and include the correct diagnosis at any point in the differential list (68% versus 48%, p = 0.0063). GPT4 provided a differential list that was more similar to the list provided by the case discussants than GPT3.5 (Jaccard Similarity Index 0.22 versus 0.12, p = 0.001). Inclusion of the correct diagnosis in the generated differential was correlated with PubMed articles matching the diagnosis (OR 1.40, 95% CI 1.25-1.56 for GPT3.5, OR 1.25, 95% CI 1.13-1.40 for GPT4), but not with disease incidence. Conclusions and relevance: The GPT4 model was able to generate a differential diagnosis list with the correct diagnosis in approximately two thirds of cases, but the most likely diagnosis was often incorrect for both models. In its current state, this tool can at most be used as an aid to expand on potential diagnostic considerations for a case, and future LLMs should be trained which account for the discrepancy between disease incidence and availability in the literature.

Trigeminal ganglion neurons are directly activated by influx of CSF solutes in a migraine model.

Classical migraine patients experience aura, which is transient neurological deficits associated with cortical spreading depression (CSD), preceding headache attacks. It is not currently understood how a pathological event in cortex can affect peripheral sensory neurons. In this study, we show that cerebrospinal fluid (CSF) flows into the trigeminal ganglion, establishing nonsynaptic signaling between brain and trigeminal cells. After CSD, ~11% of the CSF proteome is altered, with up-regulation of proteins that directly activate receptors in the trigeminal ganglion. CSF collected from animals exposed to CSD activates trigeminal neurons in naïve mice in part by CSF-borne calcitonin gene-related peptide (CGRP). We identify a communication pathway between the central and peripheral nervous system that might explain the relationship between migrainous aura and headache.

Non-native amphipods reach higher maximum swimming velocities than natives.

The invasion of non-native amphipods often leads to severe changes in the composition of aquatic communities and may also result in the local replacement of native species. Particularly, a lower risk of being preyed upon resulting from high swimming velocities can be an advantage in interspecific competition. Furthermore, as swimming velocities are ecologically important, they are often used in ecotoxicological studies to estimate effects of different stressors. However, knowledge on swimming velocities of native and non-native amphipods is still rather limited. We experimentally investigated the maximum swimming velocities of three native and three non-native amphipods via video analyses in the laboratory. Results showed that non-native species reach higher maximum swimming velocities compared to natives probably leading to a higher predation success and reduced risk of being preyed upon. Additionally, body length correlates positively with swimming velocities, except for the invader Dikerogammarus villosus. As D. villosus can be cannibalistic, the high swimming velocities of the small individuals may reduce the intraspecific predation and may increase the survival rates of smaller specimen. Hence, knowledge about the swimming velocities of species contribute to the understanding of interspecific competition among species and might support explanation approaches for the success of invasive species. Furthermore, it provides baselines for ecotoxicological studies of stressor impacts.

Directional integration and pathway enrichment analysis for multi-omics data.

Omics techniques generate comprehensive profiles of biomolecules in cells and tissues. However, a holistic understanding of underlying systems requires joint analyses of multiple data modalities. We present DPM, a data fusion method for integrating omics datasets using directionality and significance estimates of genes, transcripts, or proteins. DPM allows users to define how the input datasets are expected to interact directionally given the experimental design or biological relationships between the datasets. DPM prioritises genes and pathways that change consistently across the datasets and penalises those with inconsistent directionality. To demonstrate our approach, we characterise gene and pathway regulation in IDH-mutant gliomas by jointly analysing transcriptomic, proteomic, and DNA methylation datasets. Directional integration of survival information in ovarian cancer reveals candidate biomarkers with consistent prognostic signals in transcript and protein expression. DPM is a general and adaptable framework for gene prioritisation and pathway analysis in multi-omics datasets.

Using large language models to assess public perceptions around glucagon-like peptide-1 receptor agonists on social media.

BACKGROUND: The prevalence of obesity has been increasing worldwide, with substantial implications for public health. Obesity is independently associated with cardiovascular morbidity and mortality and is estimated to cost the health system over $200 billion dollars annually. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have emerged as a practice-changing therapy for weight loss and cardiovascular risk reduction independent of diabetes. METHODS: We used large language models to augment our previously reported artificial intelligence-enabled topic modeling pipeline to analyze over 390,000 unique GLP-1 RA-related Reddit discussions. RESULTS: We find high interest around GLP-1 RAs, with a total of 168 topics and 33 groups focused on the GLP-1 RA experience with weight loss, comparison of side effects between differing GLP-1 RAs and alternate therapies, issues with GLP-1 RA access and supply, and the positive psychological benefits of GLP-1 RAs and associated weight loss. Notably, public sentiment in these discussions was mostly neutral-to-positive. CONCLUSIONS: These findings have important implications for monitoring new side effects not captured in randomized control trials and understanding the public health challenge of drug shortages.

Obesity is a global public health burden that increases heart disease risk. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are a class of medications originally developed for diabetes but are now used to improve lifespans in those with heart disease and increase weight loss. To better understand how the public views this type of drug, over 390,000 discussions from the social media platform Reddit were analyzed using computer software. Topics of discussion included experiences with weight loss, side effects of different GLP-1 RAs, and concerns about drug access and supply. The results showed a mainly neutral-to-positive view of these medications. The findings may help identify new side effects not previously seen in clinical trials and highlight future directions for research and public health efforts.

Robotic Arm-assisted Total Hip Arthroplasty Reduces Postoperative Trochanteric Bursitis and Changes in Hip Offset.

We investigated the effect of robotic assistance in a postoperative change in hip offset and the incidence of trochanteric bursitis among total hip arthroplasty (THA) patients. As part of a retrospective study of a consecutive series of patients over a 3-year period, 211 patients (102 traditional; 109 robotic) between 2013 and 2016 who underwent posterior-lateral THA were reviewed. Hip offset was measured on preoperative and postoperative anterior-posterior (AP) pelvis radiographs. The absolute change in total hip offset was higher in patients undergoing non-robotic THA than in patients undergoing robotic THA (5.98 ± 4.47 mm vs 4.33 ± 3.98 mm; p = 0.008). The rate of symptomatic trochanteric bursitis (p = 0.02) and cortisone injection was higher in non-robotic THA patients than in robotic THA patients (p = 0.002). Robotic arm-assisted THA is associated with a decreased postoperative change in hip offset, incidence of symptomatic trochanteric bursitis, and bursal steroid injections. (Journal of Surgical Orthopaedic Advances 32(4):112-116, 2023).

MICAL2 Is a Super Enhancer Associated Gene that Promotes Pancreatic Cancer Growth and Metastasis.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest solid cancers and thus identifying more effective therapies is a major unmet need. In this study we characterized the super enhancer (SE) landscape of human PDAC to identify novel, potentially targetable, drivers of the disease. Our analysis revealed that MICAL2 is a super enhancer-associated gene in human PDAC. MICAL2 is a flavin monooxygenase that induces actin depolymerization and indirectly promotes SRF transcription by modulating the availability of serum response factor coactivators myocardin related transcription factors (MRTF-A and MRTF-B). We found that MICAL2 is overexpressed in PDAC and correlates with poor patient prognosis. Transcriptional analysis revealed that MICAL2 upregulates KRAS and EMT signaling pathways, contributing to tumor growth and metastasis. In loss and gain of function experiments in human and mouse PDAC cells, we observed that MICAL2 promotes both ERK1/2 and AKT activation. Consistent with its role in actin depolymerization and KRAS signaling, loss of MICAL2 expression also inhibited macropinocytosis. Through in vitro phenotypic analyses, we show that MICAL2, MRTF-A and MRTF-B influence PDAC cell proliferation, migration and promote cell cycle progression. Importantly, we demonstrate that MICAL2 is essential for in vivo tumor growth and metastasis. Interestingly, we find that MRTF-B, but not MRTF-A, phenocopies MICAL2-driven phenotypes in vivo . This study highlights the multiple ways in which MICAL2 impacts PDAC biology and suggests that its inhibition may impede PDAC progression. Our results provide a foundation for future investigations into the role of MICAL2 in PDAC and its potential as a target for therapeutic intervention.

Automated software-derived supine baseline impedance is highly correlated with manual nocturnal baseline impedance for the diagnosis of GERD.

BACKGROUND: Mean nocturnal baseline impedance (MNBI) can improve diagnostic accuracy for gastroesophageal reflux disease (GERD), but must be manually calculated and is not routinely reported. We aimed to determine how automated software-derived mean supine baseline impedance (MSBI), a potential novel GERD metric, is related to MNBI. METHODS: Consecutively obtained pH-impedance studies were assessed. Manually extracted MNBI was compared to MSBI using paired t-test and Spearman's correlations. KEY RESULTS: The correlation between MNBI and MSBI was very high (ρ = 0.966, p < 0.01). CONCLUSIONS & INFERENCES: The ease of acquisition and correlation with MNBI warrant the routine clinical use and reporting of MSBI with pH-impedance studies.

How adoption of new pharmaceuticals can impact US health system reimbursement under alternative payment models: An economic model measuring the impact of sotagliflozin among patients with heart failure and diabetes.

BACKGROUND: Heart failure (HF) is among the leading causes of death in the United States. Further, patients hospitalized because of HF with comorbid diabetes mellitus (DM) are at a significantly increased risk of death and rehospitalization. Results from the SOLOIST-WHF trial show that sotagliflozin lowered rates of readmission among hospitalized patients with HF and comorbid DM. However, it is unclear what the economic impact of the use of sotagliflozin would be on hospitals and health systems, particularly in an age where provider reimbursement is increasingly tied to value. OBJECTIVE: To quantify the 1-year financial impact on US provider health systems of adopting sotagliflozin relative to standard of care (SoC) across different alternative payment models. METHODS: This study created a 3-part decision tree model to quantify the financial impact of using sotagliflozin to treat patients hospitalized with HF in a US hospital setting. The model first estimated the clinical and economic outcomes of health systems with current SoC (no sotagliflozin) to treat US patients hospitalized for HF with comorbid DM. Then, using the results from the SOLOIST trial, the changes in clinical and economic outcomes with sotagliflozin adoption were modeled. Finally, the differences in health care utilization between sotagliflozin and SoC arms were translated to differences in health system reimbursement in the context of 3 common alternative payment models (APMs) in addition to the baseline fee-for-service (FFS) model: FFS with the Hospital Readmissions Reduction Program, the Bundled Payments for Care Improvement-Advanced program, and Accountable Care Organizations. RESULTS: A typical community hospital would have 83.4 patients per year on average with an index HF hospitalization with comorbid DM. The model predicted that sotagliflozin would reduce the probability of hospitalization, emergency department visits, and deaths by 29.3%, 38.5%, and 17.8%, respectively, compared with SoC. For hospitals not participating in APM programs, sotagliflozin resulted in a net loss of $92.94 per person ($7,754 per health system). Conversely, when accounting for provider health system participation in APMs, sotagliflozin adoption increased financial returns by $4,720 per person ($305,604 per health system) under the Hospital Readmissions Reduction Program, $1,200 per person ($100,106 per health system) for the Bundled Payments for Care Improvement-Advanced program, and $1,078 per person ($31,029 per health system) for Accountable Care Organizations. Based on the national average composition of APM reimbursement, sotagliflozin adoption resulted in a $1,576 increase in margin per patient with HF ($105,454 per health system). CONCLUSIONS: Although sotagliflozin adoption reduced health system revenue in an FFS payment model, it led to a net positive financial impact after accounting for APM bonus payments.

Structural Learning Benefits in a Visuomotor Adaptation Task Generalize to a Contralateral Effector.

Structural learning is characterized by facilitated adaptation following training on a set of sensory perturbations all belonging to the same structure (e.g., 'visuomotor rotations'). This generalization of learning is a core feature of the motor system and is often studied in the context of interlimb transfer. However, such transfer has only been demonstrated when participants learn to counter a specific perturbation in the sensory feedback of their movements; we determined whether structural learning in one limb generalized to the contralateral limb. We trained 13 participants to counter random visual feedback rotations between +/-90 degrees with the right hand and subsequently tested the left hand on a fixed rotation. The structural training group showed faster adaptation in the left hand in both feedforward and feedback components of reaching compared to 13 participants who trained with veridical reaching, with lower initial reaching error, and straighter, faster, and smoother movements than in the control group. The transfer was ephemeral - benefits were confined to roughly the first 20 trials. The results demonstrate that the motor system can extract invariant properties of seemingly random environments in one limb, and that this information can be accessed by the contralateral limb.

Pituitary Complications of Checkpoint Inhibitor Use.

Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but are associated with a risk of endocrine immune-related adverse events (irAEs), including pituitary complications. Autoimmune hypophysitis, traditionally a rare diagnosis, has become a more frequently encountered clinical entity with the emergence of antitumor immunotherapy. This mini-review aims to consolidate current knowledge, encompassing the epidemiology, pathophysiology, clinical presentation, diagnosis, and management of pituitary complications of ICI use.

Treating Mental Health and Quality of Life in Older Cancer Patients with Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis.

BACKGROUND: Cognitive behavioral therapy (CBT) has been successfully utilized in improving mental health (MH) and quality of life (QoL) in the general population, regardless of age. Cancer, which is most frequently diagnosed in older adults, is a debilitating illness that has a detrimental and long-lasting effect on patients' MH and QoL. While numerous studies have demonstrated CBT's efficacy, little evidence exists for its role in older cancer patients. This study, using MH and QoL metrics, evaluates the effectiveness of CBT for older adult cancer patients. METHODS: Focusing on MH and QoL and an average age of over 60 years old, a final analysis was performed on 17 clinical trials with a total of 124 effect sizes, including 3073 participants receiving CBT. "Metaphor" and "Robumeta" packages in R Statistical Software (version 4.2.2) were used for analysis, which included robust variance estimation (RVE) in intercept-only meta-regression, and univariate meta-regression for moderator analysis. RESULTS: With 17 clinical trials and 124 effect sizes, our results show that CBT moderately improves MH and QoL in cancer patients d = 0.19, 95% CI 0.0166-0.364, p < 0.0399. The delivery format was shown to be a strong moderator of CBT effectiveness with interpersonal technological interventions combined with pre-programmed segments having a very strong treatment effect size (d = 1.7307, 95% CI 1.5244-1.937, p < 0.001). CONCLUSIONS: The use of CBT in older adult cancer patients statistically improves MH and QoL, with delivery format and stages of treatment having important roles. Tech-only interpersonal interventions combined with pre-programmed CBT provide an avenue for targeting older adult cancer patients.

Artificial Intelligence Applications in Oral Cancer and Oral Dysplasia.

Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating mortality rates that have not changed over the past decades, in the face of advancements in treatments and biomarkers, which have improved survival for other cancers. Delays in diagnosis are frequent, leading to more disfiguring treatments and poor outcomes in patients. The clinical challenge lies in identifying those patients at highest risk for developing OSCC. Oral epithelial dysplasia (OED) is a precursor of OSCC with highly variable behavior across patients. There is no reliable clinical, pathologic, histologic or molecular biomarker to determine individual risk in OED patients. Similarly, there are no robust biomarkers to predict treatment outcomes or mortality of OSCC patients. This review aims to highlight advancements in artificial intelligence (AI)-based methods to develop predictive biomarkers of OED transformation to OSCC or predictive biomarkers of OSCC mortality and treatment response. Machine-learning based biomarkers, such as S100A7, demonstrate promising appraisal for the risk of malignant transformation of OED. Machine learning-enhanced multiplex immunohistochemistry (mIHC) workflows examine immune cell patterns and organization within the tumor immune microenvironment to generate outcome predictions in immunotherapy. Deep learning (DL) is an AI-based method using an extended neural network or related architecture with multiple "hidden" layers of simulated neurons to combine simple visual features into complex patterns. DL-based digital pathology is currently being developed to assess OED and OSCC outcomes. The integration of machine learning in epigenomics aims to examine the epigenetic modification of diseases and improve our ability to detect, classify, and predict outcomes associated with epigenetic marks. Collectively, these tools showcase promising advancements in discovery and technology, which may provide a potential solution to addressing the current limitations in predicting OED transformation and OSCC behavior, both of which are clinical challenges that must be addressed in order to improve OSCC survival.

Exploring proportions of spontaneous and goal-directed self-talk - It is not always the one or the other.

The dichotomous classification of self-talk statements into goal-directed as a more controlled type of self-talk and spontaneous as a more uncontrolled type of self-talk might be an oversimplification. To address this issue, two studies were conducted aiming to explore the idea that the distinction between the two self-talk types should rather be proportional and not mutually exclusive. In Study 1, football players took part in a penalty competition and were subsequently asked to state the self-talk they had before and after the penalty. In Study 2, table tennis players took part in two activities (i.e., a precision task and a competitive set) and were subsequently asked to state the self-talk they had before the individual rounds in each activity. In both studies, the players subsequently rated for each self-talk statement the extent to which it was spontaneous and the extent to which it was goal-directed. The majority of self-talk statements were rated to some extent as both spontaneous and goal-directed. For Study 1, paired-sample t-tests showed that before a penalty kick self-talk was more goal-directed than spontaneous and after the penalty kick it was more spontaneous than goal-directed. In the more exploratory Study 2, multilevel regression analyses showed that the two types of self-talk could not predict sports performance. While the results support the usefulness of the distinction between spontaneous and goal-directed self-talk, treating the two types of self-talk as proportional rather than dichotomous might reflect more accurately the mental activity. Key words: dual-process, organic self-talk, self-regulation, System 1, System 2.

Electrophilic C(sp2)-H Cyanation with Inorganic Cyanate (OCN-) by PIII/PV=O-Catalyzed Phase Transfer Activation.

An organophosphorus redox-catalyzed method for the direct electrophilic cyanation of C(sp2)-H nucleophiles with sodium cyanate (NaOCN) is reported. The catalytic deoxyfunctionalization of the OCN- anion is enabled by the use of a small-ring phosphacyclic (phosphetane) catalyst in combination with a terminal hydrosilane O-atom acceptor and a malonate-derived bromenium donor. In situ spectroscopy under single-turnover conditions demonstrate that insoluble inorganic cyanate anion is activated by bromide displacement on a bromophosphonium catalytic intermediate to give a reactive N-bound isocyanatophosphonium ion, which delivers electrophilic "CN+" equivalents to nucleophilic (hetero)arenes and alkenes with loss of a phosphine oxide. These results demonstrate the feasibility of deoxyfunctionalization of insoluble inorganic salts by PIII/PV=O catalyzed phase transfer activation.