bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and facilitators of electronic patient-reported outcome measures (e-PROMs) for patients in home palliative cancer care: a qualitative study of healthcare professionals’ perceptions
Authors: Consolo Letteria , Colombo Stella , Basile Ilaria , Rusconi Daniele , Campa Tiziana , Caraceni Augusto , Lusignani Maura 
Published: August 2023

Abstract
Background
Patient-reported outcomes in palliative care enable early monitoring and management of symptoms that most impact patients’ daily lives; however, there are several barriers to adopting electronic Patient-reported Outcome Measures (e-PROMs) in daily practice. This study explored the experiences of health care professionals (HCPs) regarding potential barriers and facilitators in implementing e-PROMs in palliative cancer care at home.

Methods
This was a qualitative descriptive study. The data were collected from two focus groups structured according to the conceptual framework of Grol. HCPs involved in home palliative cancer care of Fondazione IRCCS Istituto Nazionale dei Tumori of Milan were enrolled. Data were analyzed using a reflexive thematic analysis.

Results
A total of 245 codes were generated, 171 for the first focus group and 74 for the second focus group. The results were subdivided into subthemes according to Grol’s themes: Innovation, Individual professional, Patient, Social context, Organizational context, except Economic Political context. Nine HCPs attended the first focus group, and ten attended the second. According to these participants, e-PROMs could be integrated into clinical practice after adequate training and support of HCPs at all stages of implementation. They identified barriers, especially in the social and organizational contexts, due to the uniqueness of the oncological end-of-life setting and the intangible care interventions, as well as many facilitators for the innovation that these tools bring and for improved communication with the patient and the healthcare team.

Conclusions
e-PROMs are perceived by HCPs as adding value to patient care and their work; however, barriers remain especially related to the fragility of these patients, the adequacy of technological systems, lack of education, and the risk of low humanization of care.
Full-term live birth in a woman with 17α-hydroxylase and 17,20-lyase deficiency with assisted reproductive technology: a case report
Authors: Xi Sisi , Yang Xiuli , Shan Xuemin , Xue Qing 
Published: August 2023

Abstract
Background
17α-hydroxylase deficiency, which is caused by a CYP17A1 gene mutation, is a rare type of congenital adrenocortical hyperplasia that mainly manifests as hypertension, hypokalaemia and sexual dysplasia. To date, few pregnancies associated with this syndrome have been reported.

Case presentation
We describe a 35-year-old Chinese woman with nonclassical congenital adrenal hyperplasia (NCCAH) due to 17α-hydroxylase/17,20-lyase deficiency who achieved pregnancy after in vitro fertilization (IVF) and frozen-thawed embryo transfer. She had secondary amenorrhea since she was 27, and subsequently, high level of progesterone in the follicular phase was found during a blood test. A compound heterozygous mutation was found in the CYP17A1 gene, c.1263G > A and c.985_987delinsAA. The patient was given standardized treatment with dexamethasone. Due to ovulation disorder, IVF was performed. She underwent whole embryo vitrification freezing. Frozen-thawed embryo transplantation was performed following the artificial cycle protocol of endometrium preparation, resulting in a singleton pregnancy. At 39 weeks and 1 day of gestation, caesarean section was performed due to the breech position of the foetus.

Conclusion
A high level of progesterone reduces endometrial receptivity. Standardized treatment with dexamethasone and frozen-thawed embryo transfer with an artificial cycle protocol of endometrium preparation should be the choice for infertile female patients with CYP17A1 deficiency.
Continuous quality improvement: reducing informed consent form signing errors
Authors: Hsu Tsui-Wen , Huang Chi-Hung , Chuang Li-Ju , Lee Hui-Chen , Wong Chih-Shung 
Published: August 2023

Abstract
Background
Adherence to ethical guidelines and regulations and protecting and respecting the dignity and autonomy of participants by obtaining a valid informed consent form (ICF) prior to participation in research are crucial; The subjects did not add signatures next to the corrections made to signatures or dates on the ICF, Multiple signatures in other fields, ICF missing/missing signature, Incorrect ICF version Signed after modification, Correction tape used to correct signature, Impersonated signature, Non-research-member signature, however, ICFs are often not properly completed, which must be addressed. This study analyzed ICF signing errors and implemented measures to reduce or prevent these errors.

Methods
We used the plan–do–check–act (PDCA) cycle to help improve the correctness and validity of ICF signing.

Results
Interim and final reports from January 2016 to February 2020 including 363 ICFs were studied. The total proportion of correct ICF signatures (200, 83.3%) following the PDCA intervention was significantly higher than that before the intervention (P < 0.05). Analysis of the types of signing error demonstrated that signature errors were significantly reduced after the intervention, particularly for subjects did not add signatures next to the corrections made to signatures or dates on the ICF (16, 6.7%) and impersonated signature (0; P < 0.05).

Conclusions
The proportions of other error types—multiple signatures in other fields, missing or unsigned ICF, incorrect signature order, incorrect ICF version, use of correction tape to correct signature, and non-medical profession members signing the ICF—did not differ significantly.
Neurodevelopmental risk and adaptation as a model for comorbidity among internalizing and externalizing disorders: genomics and cell-specific expression enriched morphometric study
Authors: Kuang Nanyu , Liu Zhaowen , Yu Gechang , Wu Xinran , Becker Benjamin , Fan Huaxin , Peng Songjun , Zhang Kai , Zhao Jiajia , Kang Jujiao , Dong Guiying , Zhao Xingming , Sahakian Barbara J. , Robbins Trevor W. , Cheng Wei , Feng Jianfeng , Schumann Gunter , Palaniyappan Lena , Zhang Jie 
Published: August 2023

Abstract
Background
Comorbidity is the rule rather than the exception for childhood and adolescent onset mental disorders, but we cannot predict its occurrence and do not know the neural mechanisms underlying comorbidity. We investigate if the effects of comorbid internalizing and externalizing disorders on anatomical differences represent a simple aggregate of the effects on each disorder and if these comorbidity-associated cortical surface differences relate to a distinct genetic underpinning.

Methods
We studied the cortical surface area (SA) and thickness (CT) of 11,878 preadolescents (9–10 years) from the Adolescent Brain and Cognitive Development Study. Linear mixed models were implemented in comparative and association analyses among internalizing (dysthymia, major depressive disorder, disruptive mood dysregulation disorder, agoraphobia, panic disorder, specific phobia, separation anxiety disorder, social anxiety disorder, generalized anxiety disorder, post-traumatic stress disorder), externalizing (attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder) diagnostic groups, a group with comorbidity of the two and a healthy control group. Genome-wide association analysis (GWAS) and cell type specificity analysis were performed on 4468 unrelated European participants from this cohort.

Results
Smaller cortical surface area but higher thickness was noted across patient groups when compared to controls. Children with comorbid internalizing and externalizing disorders had more pronounced areal reduction than those without comorbidity, indicating an additive burden. In contrast, cortical thickness had a non-linear effect with comorbidity: the comorbid group had no significant CT differences, while those patient groups without comorbidity had significantly higher thickness compare to healthy controls. Distinct biological pathways were implicated in regional SA and CT differences. Specifically, CT differences were associated with immune-related processes implicating astrocytes and oligodendrocytes, while SA-related differences related mainly to inhibitory neurons.

Conclusion
The emergence of comorbidity across distinct clusters of psychopathology is unlikely to be due to a simple additive neurobiological effect alone. Distinct developmental risk moderated by immune-related adaptation processes, with unique genetic and cell-specific factors, may contribute to underlying SA and CT differences. Children with the highest risk but lowest resilience, both captured in their developmental morphometry, may develop a comorbid illness pattern.
Morphometric studies on the appendicular bony skeleton of the ostriches (Struthio Camelus)
Authors: Kassem Menna Allah M. , Tahon Reem R. , Khalil Karim M. , El-Ayat Medhat A. 
Published: August 2023

Abstract
Background
Morphometric study of the bony elements of the appendicular skeleton in the ostrich was fully described and identified. The appendicular skeleton included the bones of the pectoral girdle, the wing, the pelvic girdle and the pelvic limb.

Results
The shoulder girdle of the ostrich included the scapula and coracoid bones. The scapula appeared as a flattened spoon-like structure. The coracoid bone appeared quadrilateral in outline. The mean length of the scapula and coracoid (sternal wing) were 15.00 ± 0.23 and 10.00 ± 0.17 cm, respectively. The wing included the humerus, ulna, radius, radial carpal bone, ulnar carpal bone, carpometacarpus and phalanges of three digits. The mean length of the humerus, radius, and ulna were 33.00 ± 0.46, 10.50 ± 0.40 and 11.50 ± 0.29 cm respectively. The carpometacarpus was formed by the fusion of the distal row of carpal bones and three metacarpal bones. Digits of the wing were three in number; the alular, major and minor digits. Os coxae comprised the ilium, ischium and pubis. Their mean lengths were 36.00 ± 0.82 cm, 32.00 ± 0.20 and 55.00 ± 0.2.9 cm, respectively. The femur was a stout short bone, that appeared shorter than the tibiotarsus. The mean length of the femur, tibiotarsus, and tarsometatarsus were 30.00 ± 0.23, 52.00 ± 0.50 and 46.00 ± 0.28 cm. Tibiotarsus was the longest bone in the pelvic limb. The fibula was a long bone (44.00 ± 0.41 cm) lying along the lateral surface of the tibiotarsus. The tarsometatarsus was a strong long bone formed by the fusion of the metatarsal (II, III, IV) and the distal row of tarsal bones. It was worth mentioning that metatarsal II was externally absent in adults.

Conclusions
In the appendicular skeleton of ostrich, there were special characteristic features that were detected in our study; the clavicle was absent, the coracoid bone was composed of a sternal wing and scapular wing, the ulna was slightly longer in length than the radius. The coupled patellae i.e., the proximal and distal patella were observed; and the ostrich pedal digits were only two; viz., the third (III) and fourth (IV) digits.
Prognostic importance of glycemic variability on left ventricular reverse remodeling after the first episode of ST-segment elevation myocardial infarction
Authors: Hanajima Yohei , Iwahashi Noriaki , Kirigaya Jin , Horii Mutsuo , Minamimoto Yugo , Gohbara Masaomi , Abe Takeru , Okada Kozo , Matsuzawa Yasushi , Kosuge Masami , Ebina Toshiaki , Hibi Kiyoshi 
Published: August 2023

Abstract
Background
This study aimed to investigate the effect of glycemic variability (GV), determined using a continuous glucose monitoring system (CGMS), on left ventricular reverse remodeling (LVRR) after ST-segment elevation myocardial infarction (STEMI).

Methods
A total of 201 consecutive patients with STEMI who underwent reperfusion therapy within 12 h of onset were enrolled. GV was measured using a CGMS and determined as the mean amplitude of glycemic excursion (MAGE). Left ventricular volumetric parameters were measured using cardiac magnetic resonance imaging (CMRI). LVRR was defined as an absolute decrease in the LV end-systolic volume index of > 10% from 1 week to 7 months after admission. Associations were also examined between GV and LVRR and between LVRR and the incidence of major adverse cardiovascular events (MACE; cardiovascular death, acute coronary syndrome recurrence, non-fatal stroke, and heart failure hospitalization).

Results
The prevalence of LVRR was 28% (n = 57). The MAGE was independent predictor of LVRR (odds ratio [OR] 0.98, p = 0.002). Twenty patients experienced MACE during the follow-up period (median, 65 months). The incidence of MACE was lower in patients with LVRR than in those without (2% vs. 13%, p = 0.016).

Conclusion
Low GV, determined using a CGMS, was significantly associated with LVRR, which might lead to a good prognosis. Further studies are needed to validate the importance of GV in LVRR in patients with STEMI.
An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study
Authors: Mirjalili Seyed Reza , Soltani Sepideh , Heidari Meybodi Zahra , Marques-Vidal Pedro , Kraemer Alexander , Sarebanhassanabadi Mohammadtaghi 
Published: August 2023

Abstract
Background
Various predictive models have been developed for predicting the incidence of coronary heart disease (CHD), but none of them has had optimal predictive value. Although these models consider diabetes as an important CHD risk factor, they do not consider insulin resistance or triglyceride (TG). The unsatisfactory performance of these prediction models may be attributed to the ignoring of these factors despite their proven effects on CHD. We decided to modify standard CHD predictive models through machine learning to determine whether the triglyceride-glucose index (TyG-index, a logarithmized combination of fasting blood sugar (FBS) and TG that demonstrates insulin resistance) functions better than diabetes as a CHD predictor.

Methods
Two-thousand participants of a community-based Iranian population, aged 20–74 years, were investigated with a mean follow-up of 9.9 years (range: 7.6–12.2). The association between the TyG-index and CHD was investigated using multivariate Cox proportional hazard models. By selecting common components of previously validated CHD risk scores, we developed machine learning models for predicting CHD. The TyG-index was substituted for diabetes in CHD prediction models. All components of machine learning models were explained in terms of how they affect CHD prediction. CHD-predicting TyG-index cut-off points were calculated.

Results
The incidence of CHD was 14.5%. Compared to the lowest quartile of the TyG-index, the fourth quartile had a fully adjusted hazard ratio of 2.32 (confidence interval [CI] 1.16–4.68, p-trend 0.04). A TyG-index > 8.42 had the highest negative predictive value for CHD. The TyG-index-based support vector machine (SVM) performed significantly better than diabetes-based SVM for predicting CHD. The TyG-index was not only more important than diabetes in predicting CHD; it was the most important factor after age in machine learning models.

Conclusion
We recommend using the TyG-index in clinical practice and predictive models to identify individuals at risk of developing CHD and to aid in its prevention.
LINC02159 promotes non-small cell lung cancer progression via ALYREF/YAP1 signaling
Authors: Yang Qiurong , Wang Maoye , Xu Jing , Yu Dan , Li Yixin , Chen Yanke , Zhang Xiaoxin , Zhang Jiahui , Gu Jianmei , Zhang Xu 
Published: August 2023

AbstractLung cancer is the leading cause of cancer-related deaths worldwide. Long non-coding RNAs (lncRNAs) have emerged as key regulators of cancer development and progression, and as promising biomarkers for the diagnosis and prognosis of cancer. In this study, we identified a new lncRNA (LINC02159) that was upregulated in the tumor tissues and serum of non-small cell lung cancer (NSCLC) patients. We demonstrated that knockdown of LINC02159 inhibited NSCLC cell proliferation, migration, and invasion, but induced cell apoptosis and cell cycle arrest in vitro and retarded tumor growth in vivo, while overexpression of LINC02159 led to the opposite effect. We discovered that LINC02159 was highly correlated with cancer growth and metastasis-related pathways by using transcriptomic analysis and that YAP1 was a potential target gene of LINC02159. Mechanistically, LINC02159 bound to the Aly/REF export factor (ALYREF) to enhance the stability of YAP1 messenger RNA (mRNA) via m5C modification, which led to the overexpression of YAP1 and the activation of the Hippo and β-catenin signaling pathways in NSCLC cells. Rescue experiments showed that LINC01259 promoted NSCLC progression in a YAP1- and ALYREF-dependent manner. In conclusion, LINC02159 plays an oncogenic role in NSCLC progression by regulating ALYREF/YAP1 signaling, and it has the potential to be utilized as a diagnostic marker and therapeutic target for NSCLC.
Metallic nanoplatforms for COVID-19 diagnostics: versatile applications in the pandemic and post-pandemic era
Authors: Li Yuqing , Chen Jingqi , Wei Jinchao , Liu Xueliang , Yu Lu , Yu Linqi , Ding Ding , Yang Yu 
Published: August 2023

AbstractThe COVID-19 pandemic, which originated in Hubei, China, in December 2019, has had a profound impact on global public health. With the elucidation of the SARS-CoV-2 virus structure, genome type, and routes of infection, a variety of diagnostic methods have been developed for COVID-19 detection and surveillance. Although the pandemic has been declared over, we are still significantly affected by it in our daily lives in the post-pandemic era. Among the various diagnostic methods, nanomaterials, especially metallic nanomaterials, have shown great potential in the field of bioanalysis due to their unique physical and chemical properties. This review highlights the important role of metallic nanosensors in achieving accurate and efficient detection of COVID-19 during the pandemic outbreak and spread. The sensing mechanisms of each diagnostic device capable of analyzing a range of targets, including viral nucleic acids and various proteins, are described. Since SARS-CoV-2 is constantly mutating, strategies for dealing with new variants are also suggested. In addition, we discuss the analytical tools needed to detect SARS-CoV-2 variants in the current post-pandemic era, with a focus on achieving rapid and accurate detection. Finally, we address the challenges and future directions of metallic nanomaterial-based COVID-19 detection, which may inspire researchers to develop advanced biosensors for COVID-19 monitoring and rapid response to other virus-induced pandemics based on our current achievements.
Anti-glioma effect of ginseng-derived exosomes-like nanoparticles by active blood–brain-barrier penetration and tumor microenvironment modulation
Authors: Kim Jisu , Zhu Ying , Chen Sunhui , Wang Dongdong , Zhang Shuya , Xia Jiaxuan , Li Shiyi , QIU Qiujun , Lee Hyukjin , Wang Jianxin 
Published: August 2023

AbstractInhibition of tumor growth and normalization of immune responses in the tumor microenvironment (TME) are critical issues for improving cancer therapy. However, in the treatment of glioma, effective nanomedicine has limited access to the brain because of the blood–brain barrier (BBB). Previously, we demonstrated nano-sized ginseng-derived exosome-like nanoparticles (GENs) consisting of phospholipids including various bioactive components, and evaluated anti-tumor immune responses in T cells and Tregs to inhibit tumor progression. It was found that the enhanced targeting ability of GENs to the BBB and glioma induced a significant therapeutic effect and exhibited strong efficacy in recruiting M1 macrophage expression in the TME. GENs were demonstrated to be successful candidates in glioma therapeutics both in vitro and in vivo, suggesting excellent potential for inhibiting glioma progression and regulating tumor-associated macrophages (TAMs).
Effects of probiotic administration on overweight or obese children: a meta-analysis and systematic review
Authors: Li Ya , Liu Tonghua , Qin Lingling , Wu Lili 
Published: August 2023

Abstract
Background
This paper aimed to examine the effects of probiotics on eight factors in overweight or obese children by meta-analysis, namely, body mass index (BMI), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), adiponectin, leptin and tumor necrosis factor-α (TNF-α) and summarize the mechanisms of action of probiotics based on the existing researches.

Methods
Six databases (PubMed, Web of Science, Embase, Cochrane Library, SinoMed and CNKI) were searched until March 2023. Review Manager 5.4 was used for meta-analysis. The data were analysed using weighted mean differences (WMDs) or standardized mean differences (SMDs) under a fixed effect model or random effect model to observe the effects of probiotic administration on the included indicators.

Results
Four publications with a total of 206 overweight or obesity children were included. According to the meta-analysis, probiotics were able to significantly decrease the levels of HDL-C (MD, 0.06; 95% CI 0.03, 0.09; P = 0.0001), LDL-C (MD, − 0.06; 95% CI − 0.12, − 0.00; P = 0.04), adiponectin (MD, 1.39; 95% CI 1.19, 1.59; P < 0.00001), leptin (MD, − 2.72; 95% CI − 2.9, − 2.54; P < 0.00001) and TNF-α (MD, − 4.91; 95% CI − 7.15, − 2.67; P < 0.0001) compared to those in the placebo group. Still, for BMI, the palcebo group seemed to be better than the probiotic group (MD, 0.85; 95% CI 0.04, 1.66; P = 0.04). TC (MD, − 0.05; 95% CI − 0.12, 0.02; P = 0.14) and TG (MD, − 0.16; 95% CI − 0.36, 0.05; P = 0.14) were not different between two groups.

Conclusions
This review drew that probiotics might act as a role in regulating HDL-C, LDL-C, adiponectin, leptin and TNF-α in overweight or obesity children. Additionally, our systematic review yielded that probiotics might regulate lipid metabolism and improve obese associated symptoms by some paths. This meta-analysis has been registered at PROSPERO with ID: CRD42023408359.