bluuebunny/crossref_metadata_2025_split huggingface dataset:
Medication use patterns in pregnant women with psoriasis: a nationwide study in Taiwan
Authors: Ou Chien-Hua , Kao Li-Ting , Yang Hui-Wen , Chiang Yi-Lin , Wen Yuan-Liang , To Sheng-Yin , Chen Yi-Hsien 
Published: July 2024

Abstract

Background
Psoriasis, an autoimmune skin condition, affects 2–4% of the global population, with significant prevalence among women of childbearing age. Pregnancy presents challenges in managing psoriasis because of hormonal changes and treatment safety concerns. Understanding treatment patterns in pregnant women is crucial, given limited real-world evidence.

Objectives
To explore the utilization patterns of medications among pregnant women diagnosed with psoriasis within real-world data, utilizing data sourced from a nationwide database in Taiwan.

Methods
This nationwide study utilized Taiwan's National Health Insurance (NHI) database and birth certificate application records. It included registered pregnant women diagnosed with psoriasis from 2005 to 2014. Medication usage was tracked 3 years before conception to 3 years after delivery. Medications were categorized based on Anatomical Therapeutic Chemical codes, and statistical analyses were conducted using SAS software.

Results
In total, 30 267 pregnant women with psoriasis were studied. In total, 11 651 (38.5%) mothers had received ≥ 1 prescription during follow-up (exposed group) and 61.5% (18 616) had never received medication (unexposed group). Demographics and comorbidities were similar between these two groups. Topical corticosteroids were the most prescribed treatment, followed by phototherapy, with systemic drugs and biologics less common. During the study period, 11 096 women with psoriasis had used topical corticosteroids, 3376 had used nonsteroidal topical agents, 218 had used systemic agents or biologics and 519 had received treatment with phototherapy. Medication usage declined during pregnancy, reaching its lowest in the third trimester but rebounded postpartum.

Conclusions
Psoriasis medications, systemic, biological or topical, were largely discontinued during pregnancy, sometimes up to 2 years before and extending postpartum. Research is needed to understand its impact on maternal and child health.
Topical sirolimus in dermatology: a systematic review
Authors: Afzal Usamah M , Alazemi Mohammad , Ali Omar , Ali Faisal R , Lear John T 
Published: July 2024

Abstract
Topical sirolimus is increasingly utilized off-licence to manage various dermatological conditions while avoiding typical adverse effects associated with systemic sirolimus. However, widespread use is limited by a highly heterogeneous evidence base of mixed quality. Our aim was to evaluate the current evidence base for the indications, efficacy and safety profile of topical sirolimus in dermatology. A literature search was conducted from 2005 to 4 July 2023, of English-language studies, with the following databases consulted: MEDLINE, PubMed, Embase, CENTRAL and EBSCO. Key words included ‘topical’, ‘rapamycin’, ‘sirolimus’ and ‘dermatology’. Data on drug efficacy, concentration, side-effects, cointerventions and follow-up were extracted. The search identified 202 studies, 71 of which met the inclusion criteria. Efficacy of topical sirolimus was demonstrated in facial angiofibromas (799 patients) compared with placebo across multiple randomized controlled trials, with a predominant concentration of 0.1%. Evidence was mixed for use of sirolimus in port-wine stains (61 patients), with evidence of effectiveness for combined sirolimus and pulsed-dye laser. Multiple case reports demonstrated clinical improvement with topical sirolimus in cutaneous vascular abnormalities (33 patients) at a higher concentration of 1%. Other applications of topical sirolimus were predominantly case reports, demonstrating generally favourable outcomes. Topical sirolimus was generally well tolerated; most reported adverse effects were localized irritation and pruritus. Ointment-based preparations and once-daily dosing appeared to confer a better side-effect profile. Most high-quality data pertain to the efficacy of topical sirolimus in treating facial angiofibromas in tuberous sclerosis. Outcomes are generally promising in other indications, with good tolerability, but data quality is mixed.
Precocious maturation and semi-multivoltine lifecycle in a subtropical grass lizard, Takydromus toyamai
Authors: Asato Hitomi , Toda Mamoru 
Published: July 2024

Abstract
There are many short-lived animals, but those displaying a lifecycle with more than one generation per year (multivoltine lifecycle) are rare among terrestrial vertebrates. The multivoltine lifecycle requires rapid growth and maturation and a long active season. Thus, small lizards in humid tropical or subtropical areas are candidates for multivoltine lifecycles. To test this prediction, we conducted a capture-mark-recapture study of a subtropical grass lizard, Takydromus toyamai, endemic to Miyako Islands, Japan. Juveniles grew very quickly, averaging 0.3 mm/day in the warm season, and attained sexual maturity at 2.5 months post-hatching. The breeding season was very long, and hatchlings emerged from May to November. The prolonged breeding season and rapid growth to maturity allowed some individuals to produce a second generation in their first year. Estimates of hatching date from growth rates indicated that many females that hatched in May–June became gravid 76–120 days after hatching and 122–165 days after oviposition of the eggs from which they hatched. Analyses of juvenile survivorship and month of hatching suggest that nearly half of breeding adults were members of multivoltine generations, although the 2 generations were not discrete. The species is short-lived, with only 16% of individuals surviving beyond 12 months, and few individuals reproduced in a second year. We refer to this condition as a “semi-multivoltine lifecycle.” Individuals that hatch late in the season defer reproduction until the following year and become founders of the next season’s cohort. This putative advantage of late-hatching individuals may have driven the evolution of this lifecycle.
Felt Age and Its Psychological Correlates in Dementia Spousal Caregiving Dyads: Findings From the IDEAL Programme
Authors: Sabatini Serena , Turner Shelbie G , Clare Linda 
Published: July 2024

Abstract

Objectives
Evidence suggests spouses influence each other’s subjective views on aging. Aligned with the Theory of Dyadic Illness Management, we investigated for the first time similarities in felt age (how old people feel relative to their chronological age) between people with dementia and their spousal caregivers, and how each partner’s felt age was related to psychological correlates in the other partner.

Methods
We used baseline (2014–2016) data from 1,001 people with dementia and their spousal caregivers who participated in the British Improving the experience of Dementia and Enhancing Active Life study. We ran linear regressions to analyze the extent to which the felt age of people with dementia and their caregivers were similar, and whether relationship quality was associated with the similarity. We utilized actor–partner interdependence models to analyze whether the felt age of people with dementia and their caregivers were associated with each other’s well-being, satisfaction with life, and self-efficacy.

Results
The felt age of people with dementia was associated with the felt age of their caregivers (β = 0.10; p = .001). Caregivers and people with dementia reported a more similar felt age when caregivers rated the caregiving relationship more positively (β = 0.07; p = .04). Caregivers' felt age was associated with well-being (β = 0.07; p = .02) and satisfaction with life (β = 0.06; p = .04), but not with self-efficacy, in people with dementia.

Discussion
Felt age in caregivers and people with dementia may be interwoven, and important psychological variables in people with dementia are related to caregivers' felt age. Findings offer empirical evidence on dementia caregiving dynamics and how family relationships are related to views on aging.
Intranasal M2SR (M2-Deficient Single Replication) Influenza Vaccine Induces Broadly Reactive Mucosal Antibody Production in Adults
Authors: Hill-Batorski Lindsay , Weiner Joshua A , Ackerman Margaret E , Hatta Yasuko , Hoft Daniel F , Herber Renee , Moser Michael J , Bilsel Pamuk 
Published: July 2024

Intranasal H3N2 M2SR vaccine induced cross-reactive mucosal IgA antibodies against a panel of H3N2 hemagglutinins, ranging from 1968 to 2014, in adults independent of baseline immune status. The breadth extended to potential pandemic strain H7N9, presumably through the hemagglutinin stem.
Intranasal M2SR (M2-deficient single replication) influenza virus vaccine induces robust immune responses in animal models and humans. A high-throughput multiplexed platform was used to analyze hemagglutinin-specific mucosal antibody responses in adults after a single dose of H3N2 M2SR. Nasal swab specimens were analyzed for total and hemagglutinin-specific IgA. Significant dose-dependent increases in mucosal antibody responses to vaccine-matched and drifted H3N2 hemagglutinin were observed in persons vaccinated with M2SR regardless of baseline serum and mucosal immune status. These data suggest that M2SR induces broadly cross-reactive mucosal immune responses, which may provide better protection against drifted and newly emerging influenza strains.
Prepandemic Metabolic Correlates of Coronavirus Disease 2019 (COVID-19) Severity and Long COVID Incidence in People Living With HIV
Authors: Agrawal Priyesh , Giron Leila B , Singh Shalini , Haw Nel Jason , Goldman Aaron R , Elkaeid Mohamed , Macatangay Bernard , Palella Frank J , Alcaide Maria L , Moran Caitlin A , Kassaye Seble G , Erdmann Nathan , Chew Kara W , Floris-Moore Michelle , Chandran Aruna , Augenbraun Michael H , Sharma Anjali , Palmer Clovis , Landay Alan L , Peluso Michael J , Keshavarzian Ali , Brown Todd T , Tien Phyllis C , Abdel-Mohsen Mohamed 
Published: July 2024

Abstract
Host metabolic dysregulation, especially in tryptophan metabolism, is intricately linked to coronavirus disease 2019 (COVID-19) severity and its postacute sequelae (long COVID). People living with human immunodeficiency virus (HIV; PLWH) experience similar metabolic dysregulation and face an increased risk of developing long COVID. However, whether preexisting HIV-associated metabolic dysregulations contribute in predisposing PLWH to severe COVID-19 outcomes remains underexplored. Analyzing prepandemic samples from PLWH with documented postinfection outcomes, we found specific metabolic alterations, including increased tryptophan catabolism, predicting an elevated risk of severe COVID-19 and the incidence of long COVID. These alterations warrant further investigation for their potential prognostic and mechanistic significance in determining COVID-19 complications.
Control charts in healthcare quality monitoring: a systematic review and bibliometric analysis
Authors: Waqas Muhammad , Xu Song Hua , Hussain Sajid , Aslam Muhammad Usman 
Published: July 2024

Abstract
Control charts, used in healthcare operations to monitor process stability and quality, are essential for ensuring patient safety and improving clinical outcomes. This comprehensive research study aims to provide a thorough understanding of the role of control charts in healthcare quality monitoring and future perspectives by utilizing a dual methodology approach involving a systematic review and a pioneering bibliometric analysis. A systematic review of 73 out of 223 articles was conducted, synthesizing existing literature (1995–2023) and revealing insights into key trends, methodological approaches, and emerging themes of control charts in healthcare. In parallel, a bibliometric analysis (1990–2023) on 184 articles gathered from Web of Science and Scopus was performed, quantitatively assessing the scholarly landscape encompassing control charts in healthcare. Among 25 countries, the USA is the foremost user of control charts, accounting for 33% of all applications, whereas among 14 health departments, epidemiology leads with 28% of applications. The practice of control charts in health monitoring has increased by more than one-third during the last 3 years. Globally, exponentially weighted moving average charts are the most popular, but interestingly the USA remained the top user of Shewhart charts. The study also uncovers a dynamic landscape in healthcare quality monitoring, with key contributors, research networks, research hotspot tendencies, and leading countries. Influential authors, such as J.C. Benneyan, W.H. Woodall, and M.A. Mohammed played a leading role in this field. In-countries networking, USA–UK leads the largest cluster, while other clusters include Denmark–Norway–Sweden, China–Singapore, and Canada–South Africa. From 1990 to 2023, healthcare monitoring evolved from studying efficiency to focusing on conditional monitoring and flowcharting, with human health, patient safety, and health surveys dominating 2011–2020, and recent years emphasizing epidemic control, COronaVIrus Disease of 2019 (COVID-19) statistical process control, hospitals, and human health monitoring using control charts. It identifies a transition from conventional to artificial intelligence approaches, with increasing contributions from machine learning and deep learning in the context of Industry 4.0. New researchers and journals are emerging, reshaping the academic context of control charts in healthcare. Our research reveals the evolving landscape of healthcare quality monitoring, surpassing traditional reviews. We uncover emerging trends, research gaps, and a transition in leadership from established contributors to newcomers amidst technological advancements. This study deepens the importance of control charts, offering insights for healthcare professionals, researchers, and policymakers to enhance healthcare quality. Future challenges and research directions are also provided.
Establishment of epidemiological cut-off values for eravacycline, against Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, Acinetobacter baumannii and Staphylococcus aureus
Authors: Jing Ran , Yi Qiao-Lian , Zhuo Chao , Kang Wei , Yang Qi-Wen , Yu Yun-Song , Zheng Bo , Li Yun , Hu Fu-Pin , Yang Yang , Lin Jie , Zhang Ge , Zhang Jing-Jia , Wang Tong , Li Jin , Zhuo Chu-Yue , Li Xue , Zhu Yun-Fan , Xu Ying-Chun 
Published: July 2024

Abstract

Objectives
To establish the epidemiology cut-off (ECOFF) values of eravacycline against Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, Acinetobacter baumannii and Staphylococcus aureus, from a multi-centre study in China.

Methods
We collected 2500 clinical isolates from five hospitals in China from 2017 to 2020. The MICs of eravacycline were determined using broth microdilution. The ECOFF values of eravacycline against the five species commonly causing cIAIs were calculated using visual estimation and ECOFFinder following the EUCAST guideline.

Results
The MICs of eravacycline against all the strains were in the range of 0.004–16 mg/L. The ECOFF values of eravacycline were 0.5 mg/L for E. coli, 2 mg/L for K. pneumonia and E. cloacae, and 0.25 mg/L for A. baumannii and S. aureus, consistent with the newest EUCAST publication of eravacycline ECOFF values for the populations. No discrepancy was found between the visually estimated and 99.00% ECOFF values calculated using ECOFFinder.

Conclusions
The determined ECOFF values of eravacycline against the five species can assist in distinguishing wild-type from non-wild-type strains. Given its promising activity, eravacycline may represent a member of the tetracycline class in treating cIAIs caused by commonly encountered Gram-negative and Gram-positive pathogens.
A Multiplex Assay for Fast PIK3CA Hotspot Mutation Characterization in a Single Specimen by 3-Color Digital PCR Analysis
Authors: Helmijr Jean , Motta Gianmarco , Jongbloed Lisa , de Weerd Vanja , van Bergen Lotte , Verschoor Noortje , Stella Stefania , Beaufort Corine , Vigneri Paolo , Martens John W M , Wilting Saskia M , Jansen Maurice P H M 
Published: July 2024

Abstract

Background
Activating mutations in the phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) gene have been detected often in solid tumors. Targeted therapy for mutant PIK3CA is now available in the clinic, making molecular diagnostics pivotal. Our aim was to design a multiplex digital PCR (dPCR) assay to evaluate the 4 most common PIK3CA hotspot mutations simultaneously to characterize and quantify these in liquid biopsies.

Methods
A multiplex assay was developed to detect exon 9 p.E542K and p.E545K mutations, and exon 20 p.H1047L and p.H1047R mutations using the Stilla 3-color dPCR Naica system. The assay was evaluated on stock and pre-amplified DNA from cell lines with the above mutations as single and pooled samples, and on cell-free DNA (cfDNA) from healthy blood donors (HBDs) and breast cancer patients, to determine detection thresholds and diagnostic accuracy.

Results
The assay distinguished all 4 PIK3CA mutations in (cf)DNA, and also when dual mutations were present. Detection thresholds of stock and pre-amplified cfDNA samples were 0.11 and 0.40 copies/uL (cp/uL) for mutant copies concentration, and 0.003% and 0.68% for variant allele frequencies (VAFs), respectively. The assay confirmed the PIK3CA (mutation) status as defined by targeted next-generation sequencing (NGS) in 82 out of 96 patients that were mutant for PIK3CA, and in 11 out of 12 patients with wild-type PIK3CA.

Conclusions
Our designed multiplex dPCR assay detected PIK3CA mutations with high accuracy in stock and pre-amplified cfDNA. Furthermore, it is affordable and demands less cfDNA input when compared to available uniplex dPCR assays and NGS analyses.
Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis
Authors: Liu Lidan , Liu Lu , Wafa Hatem A , Tydeman Florence , Xie Wanqing , Wang Yanzhong 
Published: July 2024

Abstract

Objective
This study aims to conduct a systematic review and meta-analysis of the diagnostic accuracy of deep learning (DL) using speech samples in depression.

Materials and Methods
This review included studies reporting diagnostic results of DL algorithms in depression using speech data, published from inception to January 31, 2024, on PubMed, Medline, Embase, PsycINFO, Scopus, IEEE, and Web of Science databases. Pooled accuracy, sensitivity, and specificity were obtained by random-effect models. The diagnostic Precision Study Quality Assessment Tool (QUADAS-2) was used to assess the risk of bias.

Results
A total of 25 studies met the inclusion criteria and 8 of them were used in the meta-analysis. The pooled estimates of accuracy, specificity, and sensitivity for depression detection models were 0.87 (95% CI, 0.81-0.93), 0.85 (95% CI, 0.78-0.91), and 0.82 (95% CI, 0.71-0.94), respectively. When stratified by model structure, the highest pooled diagnostic accuracy was 0.89 (95% CI, 0.81-0.97) in the handcrafted group.

Discussion
To our knowledge, our study is the first meta-analysis on the diagnostic performance of DL for depression detection from speech samples. All studies included in the meta-analysis used convolutional neural network (CNN) models, posing problems in deciphering the performance of other DL algorithms. The handcrafted model performed better than the end-to-end model in speech depression detection.

Conclusions
The application of DL in speech provided a useful tool for depression detection. CNN models with handcrafted acoustic features could help to improve the diagnostic performance.

Protocol registration
The study protocol was registered on PROSPERO (CRD42023423603).
Risk factors for breast cancer subtypes by race and ethnicity: a scoping review
Authors: Hurson Amber N , Ahearn Thomas U , Koka Hela , Jenkins Brittany D , Harris Alexandra R , Roberts Sylvia , Fan Sharon , Franklin Jamirra , Butera Gisela , Keeman Renske , Jung Audrey Y , Middha Pooja , Gierach Gretchen L , Yang Xiaohong R , Chang-Claude Jenny , Tamimi Rulla M , Troester Melissa A , Bandera Elisa V , Abubakar Mustapha , Schmidt Marjanka K , Garcia-Closas Montserrat 
Published: July 2024

Abstract

Background
Breast cancer consists of distinct molecular subtypes. Studies have reported differences in risk factor associations with breast cancer subtypes, especially by tumor estrogen receptor (ER) status, but their consistency across racial and ethnic populations has not been comprehensively evaluated.

Methods
We conducted a qualitative, scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis, extension for Scoping Reviews to investigate consistencies in associations between 18 breast cancer risk factors (reproductive, anthropometric, lifestyle, and medical history) and risk of ER-defined subtypes in women who self-identify as Asian, Black or African American, Hispanic or Latina, or White. We reviewed publications between January 1, 1990 and July 1, 2022. Etiologic heterogeneity evidence (convincing, suggestive, none, or inconclusive) was determined by expert consensus.

Results
Publications per risk factor ranged from 14 (benign breast disease history) to 66 (parity). Publications were most abundant for White women, followed by Asian, Black or African American, and Hispanic or Latina women. Etiologic heterogeneity evidence was strongest for parity, followed by age at first birth, postmenopausal body mass index, oral contraceptive use, and estrogen-only and combined menopausal hormone therapy. Evidence was limited for other risk factors. Findings were consistent across racial and ethnic groups, although the strength of evidence varied.

Conclusion
The literature supports etiologic heterogeneity by ER for some established risk factors that are consistent across race and ethnicity groups. However, in non-White populations evidence is limited. Larger, more comparable data in diverse populations are needed to better characterize breast cancer etiologic heterogeneity.