bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variation in general practitioners’ follow-up of depressed patients starting antidepressant medication: a register-based cohort study
Authors: Hansen Anneli B , Hetlevik Øystein , Baste Valborg , Haukenes Inger , Smith-Sivertsen Tone , Ruths Sabine 
Published: November 2024

Abstract

Background
Guidelines recommend follow-up within 2 weeks for patients starting medication for depression. Knowledge is lacking about how general practitioners’ (GPs) follow-up varies with patients’ sociodemographic characteristics.

Objective
To describe follow-up by GP and specialist in mental healthcare provided to men and women with depression within 3 months of starting drug therapy. Furthermore, to examine whether follow-up varied according to patients’ age and education.

Methods
Registry-based cohort study comprising all patients aged ≥18 years in Norway with a new depression episode in 2014 who started on antidepressants within 12 months from diagnosis. Patients’ age and educational level were the exposures. Outcomes were follow-up by GP and/or mental healthcare specialist, and talking therapy with GP, within 90 days of first prescription. Cox proportional hazard models were used to estimate the likelihood of having follow-up contacts. Log binomial regression analysis was performed to explore the likelihood of having talking therapy with a GP. Time to first contact was illustrated by Kaplan–Meier survival curves.

Results
The study population comprised 17 000 patients, mean age 45.7 years, 60.6% women. Only 27.8% of the patients were followed up by GP and/or specialist within 2 weeks of the first drug dispensing, 67.1% within 90 days. Older or less educated men and women received less and later contacts than the younger or more highly educated.

Conclusions
Differences in age and educational level were associated with follow-up of depressed patients who started medication. This may indicate unwarranted variation in depression care that GPs should consider when prescribing antidepressants.
Accessing microbial natural products of the past
Authors: Klapper Martin , Stallforth Pierre 
Published: November 2024

Abstract
Microbial natural products—low molecular weight compounds biosynthesized by microorganisms—form the foundation of important modern therapeutics, including antibiotics, immunomodulators, and anti-cancer agents. This perspective discusses and contrasts two emerging approaches for uncovering natural products of the past. On the one hand, ancestral sequence reconstruction allows recreating biosynthetic pathways that date back hundreds of millions of years. On the other hand, sequencing and de novo assembly of ancient DNA reveals the biosynthetic potential of ancient microbial communities up to 100 000 years. Together, these approaches unveil an otherwise hidden reservoir of functional and structural molecular diversity. They also offer new opportunities to study the biological function and evolution of these molecules within an archaeological context.
Higher-Order Disease Interactions in Multimorbidity Measurement: Marginal Benefit Over Additive Disease Summation
Authors: Wei Melissa Y , Tseng Chi-Hong , Kang Ashley J 
Published: November 2024

Abstract

Background
Current multimorbidity measures often oversimplify complex disease interactions by assuming a merely additive impact of diseases on health outcomes. This oversimplification neglects clinical observations that certain disease combinations can exhibit synergistic effects. Thus, we aimed to incorporate simultaneous higher-order disease interactions into the validated ICD-coded multimorbidity-weighted index, to assess for model improvement.

Methods
Health and Retirement Study participants with linked Medicare data contributed ICD-9-CM claims, 1991–2012. Top 20 most prevalent and impactful conditions (based on associations with decline in physical functioning) were assessed through higher-order interactions (2-way, 3-way). We applied the least absolute shrinkage and selection operator and bootstrapping to identify and retain statistically significant disease interactions. We compared model fit in multimorbidity-weighted index with and without disease interactions in linear models.

Results
We analyzed 73 830 observations from 18 212 participants (training set N = 14 570, testing set N = 3 642). Multimorbidity-weighted index without interactions produced an overall R2 = 0.26. Introducing 2-way interactions for the top 10 most prevalent and impactful conditions resulted in a R2 = 0.27, while expanding to top 20 most prevalent and impactful conditions yielded a R2 = 0.26. When adding 3-way interactions, the same top 10 conditions produced a R2 = 0.26, while expanding to top 20 conditions resulted in a R2 = 0.24.

Conclusions
We present novel insights into simultaneous higher-order disease interactions for potential integration into multimorbidity measurement. Incorporating 2-way disease interactions for the top 10 most prevalent and impactful conditions showed a minimal improvement in model fit. A more precise multimorbidity index may incorporate both the main effects of diseases and their significant interactions.
Body waves from train noise correlations: potential and limits for monitoring the San Jacinto Fault, CA
Authors: Higueret Quentin , Sheng Yixiao , Mordret Aurelien , Brenguier Florent , Boué Pierre , Fichtner Andreas , Vernon Frank , Krischer Lion , Hollis Dan , Aubert Coralie , Ben-Zion Yehuda 
Published: November 2024

SUMMARY
A large portion of the stress release on seismic faults remains silent and undetected, requiring the development of novel observation techniques. Measuring traveltime perturbations from the correlation of ambient seismic noise at different stations is a well-known approach to assess temporal changes in seismic velocities, which can provide insights into hydrologic, tectonics and volcanic dynamic processes. In this work, we study the specific case of a P-wave phase retrieved from the correlation of freight train noise in Southern California and evaluate its potential to detect localized velocity changes along the San Jacinto Fault. We use a full waveform modelling approach to simulate this P-wave interference and further assess its sensitivity to the position of the train source, near-surface velocity changes and localized velocity changes in the fault zone. Our results show that the uncertainty in trains location can induce large traveltime biases which can be mitigated by averaging over many trains. Our results also highlight the weak sensitivity of these correlation P waves to near-surface velocity changes, while they show significant sensitivity to localized changes at depth. This modelling highlights the potential of monitoring traveltime perturbations of this ballistic P-wave interference to detect hidden slow-slip events on the San Jacinto Fault, particularly in identifying subtle velocity anomalies associated with fault zone changes that may otherwise go unnoticed by conventional seismic monitoring techniques.
Gravity data inversion of the Pyrenees range using Taguchi sensitivity analysis and ADMM bound constraints based on seismic data
Authors: Martin Roland , Ogarko Vitaliy , Giraud Jérémie , Plazolles Bastien , Angrand Paul , Rousse Sonia , Macouin Melina 
Published: November 2024

SUMMARY
Gravity inversion methods are able to recover density distributions in the Earth but they require strong constraints based on various prior information. In the present study, our aim is to invert gravity anomalies using existing geological models and density information in orogenic areas like the extensively studied Pyrenees region. Geophysical exploration for resource assessment using gravity and seismic data already accessible in this area has been performed to identify potential fluid/gas reservoirs of economic significance. For a given pre-existing model defined by different geological units and summarizing our knowledge of the area, we aim at retrieving the density distribution within each unit. For this, we use an Alternate Direction Multiplier Method to perform gravity data inversion by constrained by Interval Bound Constraints (IBC-ADMM) defined as bounding distribution intervals of possible density values. To estimate these bounding intervals, we first use a prior density model geologically compatible and obtained using geological information, gravity modelling, seismological data and seismic models. In a second step, we apply a Taguchi statistical analysis on representative density variations inside each unit of the prior density model to estimate their impact on data residuals, and reduce the parameter space prior to inversion. We perform the gravity data inversion constrained by these Taguchi-derived density intervals and we estimate model uncertainties for these density intervals. We apply the technique to the entire Pyrenees range at 2 km resolution. The sensitivity analysis shows that the strongest variations on gravity data are obtained essentially in the Axial Zone, in the middle and lower crust, and in the Upper mantle. Inverted densities are compared to the prior model. They are increased in the central part of the Pyrenees Axial Zone while, in the deeper structures (from middle crust down to upper mantle), they are decreased in the Southern (Spanish) Iberian upper mantle and increased in the Northern (French) Eurasian Upper mantle. A possible shortening of the Iberian lower crust–upper mantle system can be assumed below the western part of the Axial Zone.
On the variability of the site-response parameters of the active rock slope in Brienz/Brinzauls (Switzerland)
Authors: Borgeat X , Glueer F , Häusler M , Hobiger M , Fäh D 
Published: November 2024

SUMMARY
Unstable rock slopes, prone to collapse, pose an increasingly severe threat to both people and infrastructures, necessitating effective monitoring for risk mitigation. While many techniques rely on surface displacements to assess slope stability, seismic indicators such as resonance frequency, variations in seismic wave velocity and site amplification offer valuable insights into the structural integrity of the slope, aspects not captured by surface deformation alone. Research has demonstrated that these site-response parameters can serve as monitoring tools to detect precursory signs of failure, such as a drop in resonance frequency and relative seismic wave velocity prior to collapse. Still, environmental factors like temperature, precipitation, snow melt, earthquakes and freeze-thaw cycles transiently influence the seismic response. Our main objective is to understand the correlations and drivers between environmental parameters and seismic response, distinguishing between reversible and irreversible changes in dynamic behaviour. Over a 5-yr monitoring period, we continuously recorded ambient vibration data at the Brienz/Brinzauls instability and monitored three different site-response parameters (resonance frequency, site amplification, relative seismic wave velocity variation) using enhanced frequency domain decomposition, site-to-reference spectral ratio and single station ambient vibrations correlation techniques. Our results highlight a long-term increase in site amplification and a long-term decrease in first and second resonance frequencies, indicating ongoing structural weakening. Temperature was found to correlate with seasonal variations of seismic wave velocity with a few day’s time lag. Snow melting and rainfalls exerted a secondary influence, temporarily reducing relative seismic wave velocity during snowmelt and rainfall. Our findings suggest that single-station relative seismic velocity variations are mainly influenced by the shallow subsurface (depth of about 30 m), limiting its application to study the stability this deep structure.
ZBTB24 is a conserved multifaceted transcription factor at genes and centromeres that governs the DNA methylation state and expression of satellite repeats
Authors: Grillo Giacomo , Boyarchuk Ekaterina , Mihic Seed , Ivkovic Ivana , Bertrand Mathilde , Jouneau Alice , Dahlet Thomas , Dumas Michael , Weber Michael , Velasco Guillaume , Francastel Claire 
Published: November 2024

Abstract
Since its discovery as a causative gene of the Immunodeficiency with Centromeric instability and Facial anomalies syndrome, ZBTB24 has emerged as a key player in DNA methylation, immunity and development. By extensively analyzing ZBTB24 genomic functions in ICF-relevant mouse and human cellular models, we document here its multiple facets as a transcription factor, with key roles in immune response-related genes expression and also in early embryonic development. Using a constitutive Zbtb24 ICF-like mutant and an auxin-inducible degron system in mouse embryonic stem cells, we showed that ZBTB24 is recruited to centromeric satellite DNA where it is required to establish and maintain the correct DNA methylation patterns through the recruitment of DNMT3B. The ability of ZBTB24 to occupy centromeric satellite DNA is conserved in human cells. Together, our results unveiled an essential and underappreciated role for ZBTB24 at mouse and human centromeric satellite repeat arrays by controlling their DNA methylation and transcription status.
Evaluation of Immunoglobulin A Enzyme Immunoassays to Detect Primary Respiratory Syncytial Virus Infection in Infants and Young Children
Authors: Sankaranarayanan Ranjini , Ha Binh , Sun Heying , Liu Katie , Jadhao Samadhan , Hussaini Laila , McCracken Courtney , Gibson Theda , Yildirim Inci , Yi Jumi , Stephens Kathy , Korski Chelsea , Kao Carol , Rostad Christina A , Anderson Evan J , Anderson Larry J 
Published: November 2024

Abstract

Background
Respiratory syncytial virus (RSV) is a leading cause of acute lower respiratory infections in children &lt;2 years of age. Prior infection in a child is usually determined by RSV antibodies; however, in young children, persisting maternal immunoglobulin G antibodies can incorrectly indicate past RSV infection. We developed and evaluated 4 immunoglobulin A (IgA) antibody enzyme immunoassays (EIAs) with the RSV F, subgroup G (Ga or Gb proteins) or RSV lysate antigens to distinguish infection induced from persisting maternal RSV antibodies.

Methods
We tested the EIAs against 62 cord blood specimens (group A), 39 plasma specimens from infants not exposed to an RSV season (group B), 102 plasma specimens from infants with a documented RSV infection (group C), and 124 plasma specimens from infants exposed to their first RSV season but without a documented RSV infection (group D).

Results
Among the 2 negative control groups, no group A specimens and 1 of the group B specimens were positive in all 4 IgA EIAs, giving a specificity of 100% and 97%, respectively. The sensitivity of the F, Ga, Gb, and Lysate IgA EIAs were 88%, 31%, 26%, and 61%, respectively, for group C specimens. Forty-four percent of the 124 specimens in group D were positive in the RSV-F IgA EIA.

Conclusions
The RSV-F protein IgA EIA exhibited a high level of sensitivity and specificity for detecting previous RSV infections in the presence of maternal antibodies and can help in RSV clinical trials and epidemiologic studies in young children.
The influence mechanism analysis of family doctor team effectiveness: a mixed-method approach
Authors: He Anning , Guo Zhimin , Zhang Tao , Zhang Meng , Ni Ziling 
Published: November 2024

Abstract

Background
Team-based delivery of family doctor services is associated with improved patient experiences, better health outcomes, and more efficient healthcare utilization. Team effectiveness is related to the team’s output, and family doctor team effectiveness (FDTE) directly impacts the quality and efficiency of contracted family doctor services. We aimed to explore the path and mechanisms influencing FDTE, propose strategies for improvement, and enhance both team effectiveness and service quality.

Methods
The literature review, key informant interviews, expert consultation, and questionnaire survey were employed. The questionnaire, based on the input–mediator–output–input model, was designed to measure FDTE and its influencing factors. Using stratified random sampling, we distributed the questionnaire to family doctors in both developed and underdeveloped areas of Zhejiang Province, China. We performed hierarchical linear regression analysis to examine the relationship between team effectiveness and influencing factors. Subsequently, we used structural equation model (SEM) to explore and validate the relationships and mechanisms of action among “team input factors,” “member input factors,” “team behavioral process,” and “team emotional process” on team effectiveness.

Results
The questionnaire was divided into five main sections: “team input factors,” “member input factors,” “team behavioral process,” “team emotional process,” and “team effectiveness,” with 11 dimensions and 42 items. A total of 508 valid questionnaires were returned. The main factors influencing FDTE are team composition (β = −0.116, P &lt; .01), goals and systems (β = 0.165, P &lt; .01), cooperative attitude (β = 0.123, P &lt; .05), team behavioral process (β = 0.161, P &lt; .001), and team emotional process (β = 0.193, P &lt; .001). SEM analysis revealed that team input factors, member input factors, and team behavioral process had direct and indirect effects on team effectiveness, while the team emotional process had a direct effect.

Conclusions
It is recommended to optimize the basic inputs of family doctor teams, enhance the intrinsic motivation of team members, promote team interaction and cooperation, and foster a positive atmosphere for family doctor teamwork.
Setting standards in residential aged care: identifying achievable benchmarks of care for long-term aged care services
Authors: Schwabe Johannes , Caughey Gillian E , Jorissen Robert , Comans Tracy , Gray Len , Westbrook Johanna , Braithwaite Jeffrey , Hibbert Peter , Wesselingh Steven , Sluggett Janet K , Wabe Nasir , Inacio Maria C 
Published: November 2024

Abstract

Background
Benchmark is an important aspect of quality measurement and evaluation of long-term care services (LTCS) performance. In this study, we aimed to estimate achievable benchmarks of care (ABC©) for 12 quality indicators used to monitor the quality of care in Australian LTCS and to identify LTCS characteristics associated with attaining the estimated ABC.

Methods
A cross-sectional study was conducted using integrated population-based datasets from long-term care, health care, and social welfare sectors within the Registry of Senior Australians (ROSA) National Historical Cohort. All LTCS residents in 2019 were included. Twelve risk-adjusted quality indicators were examined. ABC were defined as the performance level of top-ranked LTCS, including those sequentially from rank 1 onward, until the combined number of residents included at least 10% of all residents nationally. Indicator-specific ABC for 2019 were estimated using Bayesian-adjusted performance fraction ranking. Logistic regressions estimated LTCS characteristics associated with ABC attainment.

Results
2746 LTCS and 244 419 residents (≥65 years) between 1 January 2019 and 31 December 2019 were included. The cohort was mostly female (65%), with a median age of 86 years, and 56% had dementia. The ABC provide performance targets based on the observed levels of top-performing LTCS. The ABC for premature mortality (0.007%), weight loss hospitalizations (0.1%), pressure injuries (0.2%), delirium and dementia hospitalizations (0.2%), and medication-related adverse events (0.4%) were lower than 1% and attained by 17–59% of LTCS. The ABC for fractures (1.3%), falls (3.9%), and emergency department presentations (5.1%) were between 1 and 5% and attained by 7–11% of LTCS. The ABC for antipsychotic use (10.5%), chronic opioid use (12.6%), high sedative load exposure (26.8%), and antibiotic use (47.8%) were between 10 and 50% and met by 6–7% of LTCS. Smaller LTCS and government-owned LTCS were more likely to achieve the ABC compared to medium, larger, private, and not-for-profit LTCS.

Conclusion
This is the first national estimation of ABC for Australian LTCS, identifying real-world examples of LTCS with relatively better national performance. The ABC are realistic goals for LTCS improvement efforts. They can be leveraged as national standards in quality monitoring reports and incentive programs. Smaller and government LTCS were generally more likely to attain ABC.
Exploring the development of safety culture among physicians with text mining of patient safety reports: a retrospective study
Authors: Koike Daisuke , Ito Masahiro , Horiguchi Akihiko , Yatsuya Hiroshi , Ota Atsuhiko 
Published: November 2024

Abstract

Background
Safety culture development is essential for patient safety in healthcare institution. Perceptions of patient safety and cultural changes are reflected in patient safety reports; however, they were rarely investigated. The aim of this study was to investigate the perception of physicians and to explore the development of safety culture using quantitative content analysis for patient safety reports.

Methods
A retrospective analysis of free descriptions of harmful patient safety reports submitted by physicians was performed. Natural language processing and text analysis were conducted using the “KH Coder.” A co-occurrence analysis was performed in each period to identify and analyze the safety concepts. The study period was grouped into three for comparison.

Results
The patient safety reports from physicians were collected between April 2004 and March 2020. Of these, 3351 reports were harmful: 839 reports were included in period 1, 1016 reports in period 2, and 1496 reports in period 3. Natural language processing identified 316 307 words in the free descriptions of 3351 reports. We identified seven concepts from the cluster in co-occurrence analysis as follows: “explanation of adverse event to patients and families,” “central venous catheter,” “intraoperative procedure and injury,” “minimally invasive surgery,” “life-threatening events,” “blood loss,” and “medical emergency team and critical care.” These seven concepts showed significant differences among the three periods, except for “blood loss.” The “explanation of adverse event to patients and families” decreased in proportion from 11.3% to 8.8% (P &lt; .05). The “central venous catheter” decreased from 17.3% to 11.3% (P &lt; .01). Meanwhile, “minimally invasive surgeries” and “intraoperative procedures” increased from 3.9% to 12.9% (P &lt; .01) and from 10.8% to 14.6% (P &lt; .05), respectively. Focusing on patients’ events, “life-threatening events” decreased from 13.0% to 8.1% (P &lt; .01); however, “medical emergency teams and critical care” increased from 3.3% to 10.6% (P &lt; .01).

Conclusion
Free description in patient safety reports is useful for evaluating the safety culture. Co-occurrence analysis revealed multiple concepts of physicians’ perceptions. Quantitative content analysis revealed changes in perceptions and attitudes, and a disclosure policy of adverse events and the priority of patient care appeared with the development of safety culture.