bluuebunny/crossref_metadata_2025_split huggingface dataset:
“There is no one who helps you with it”: experiences of people with long COVID regarding medical care, therapeutic measures, and barriers in the German healthcare system: results of a qualitative study with four focus groups
Authors: Schmachtenberg Tim , Königs Gloria , Dragaqina Anita , Roder Sascha , Müller Frank , Müllenmeister Christina , Schröder Dominik , Dopfer-Jablonka Alexandra , Vieth Katharina , El-Sayed Iman 
Published: October 2023

Abstract
Background
Many people experience long-term symptoms such as fatigue, cognitive problems, or shortness of breath after an acute infection with COVID-19. This emerging syndrome, known as long COVID, is new and complex in many aspects. This study aims to collect the experiences of people with long COVID with ambulatory healthcare structures.

Methods
Four focus groups were conducted with a total of 23 adults with long COVID in June and July 2022. These discussions were audio-recorded, subsequently transcribed, and analyzed using the qualitative content analysis of Mayring and Kuckartz.

Results
Fourteen out of 19 participants who had a primary care encounter regarding their long COVID symptoms did not perceive it as helpful. Many respondents reported that their general practitioners did not take their long COVID symptoms seriously and did not refer them to specialists or made therapeutic recommendations. However, some participants reported that they were prescribed non-pharmaceutical therapies (e.g., group meetings supported by psychotherapists, occupational therapy, etc.) that improved their condition. 14 of 23 respondents perceived care barriers such as providers’ lack of awareness of long COVID, poor access to specialists, a lack of specialized care (e.g., long COVID clinics), or high bureaucratic hurdles for specific healthcare services. To improve medical care, participants suggested campaigns to raise awareness of long COVID among healthcare providers and the general population, increase research and government investments regarding the development of treatment structures for long COVID, expanding existing therapeutic services, and establishing one-stop shops for integrated specialist healthcare for people with long COVID.

Conclusions
Several implications for healthcare professionals and policymakers can be derived from this study: (1) general practitioners should take the symptoms of long COVID seriously, assume a care coordinating role, make referrals, and establish contact with long COVID clinics; (2) care planners should focus on developing interprofessional evidence-based care and treatment approaches for long COVID; (3) existing care structures such as long COVID outpatient clinics should be expanded. The overarching goal must be to develop consistent guidelines for long COVID diagnosis, care, and treatment.

Trial registration
The study is registered in the German register for clinical trials (DRKS00026007, first registration on 09/09/2021).
Perceptions and factors associated with the uptake of the community client-led antiretroviral therapy delivery model (CCLAD) at a large urban clinic in Uganda: a mixed methods study
Authors: Walusaga Happy Annet Gasaatura , Atuyambe Lynn M , Muddu Martin , Mpirirwe Ruth , Nangendo Joan , Kalibbala Dennis , Semitala Fred C. , Katahoire Anne R. 
Published: October 2023

Abstract
Introduction
Community Client-Led ART Delivery (CCLAD) is a community HIV care model. In this model, a group of persons living with HIV (PLHIV) in a specific location, take turns going to the HIV clinic to pick up Antiretroviral Treatment refills for members. The uptake of this model, however, remains low despite its improvements in patient retention. In this study, we explored PLHIV’s perceptions of this model and identified the factors associated with its low uptake.

Methods
This was a mixed methods study based on a retrospective review of records of PLHIV and in-depth interviews. We reviewed the medical records of people receiving ART to determine their current model of ART delivery and conducted in-depth interviews with 30 participants who were eligible to be enrolled in the CCLAD model at the Mulago ISS clinic. We performed logistic regression to identify factors associated with the uptake of the CCLAD model and inductive thematic analysis to explore PLHIV’s perceptions of the CCLAD model.

Results
A total of 776 PLHIV were sampled for the study, 545 (70.2%) of whom were female. The mean age (standard deviation) was 42 (± 9.3) years. Overall, 55 (7.1%) received ART using the CCLAD model. Compared to other ART-delivery models, CCLAD was associated with being on ART for at least eight years (AOR 3.72; 95% CI: 1.35–10.25) and having no prior missed clinic appointments (AOR 10.68; 95% CI: 3.31–34.55). Mixed perceptions were expressed about the CCLAD model. Participants interviewed appreciated CCLAD for its convenience and the opportunities it offered members to talk and support each other. Others however, expressed concerns about the process of group formation, and feeling detached from the health facility with consequences of lack of confidentiality.

Conclusion
The current uptake of the CCLAD model is lower than the national recommended percentage of 15%. Its uptake was associated with those who had been in care for a longer period and who did not miss appointments. Despite CCLAD being perceived as convenient and as promoting support among members, several challenges were expressed. These included complexities of group formation, fear of stigma and feelings of detachment from health facilities among others. So, while CCLAD presents a promising alternative ART delivery model, more attention needs to be paid to the processes of group formation and improved patient monitoring to address the feelings of detachment from the facility and facility staff.
Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study
Authors: Long Bin , Zhang Haoyan , Zhang Han , Chen Wen , Sun Yang , Tang Rui , Lin Yuxuan , Fu Qiang , Yang Xin , Cui Ligang , Wang Kun 
Published: October 2023

Abstract
Background
Most of superficial soft-tissue masses are benign tumors, and very few are malignant tumors. However, persistent growth, of both benign and malignant tumors, can be painful and even life-threatening. It is necessary to improve the differential diagnosis performance for superficial soft-tissue masses by using deep learning models. This study aimed to propose a new ultrasonic deep learning model (DLM) system for the differential diagnosis of superficial soft-tissue masses.

Methods
Between January 2015 and December 2022, data for 1615 patients with superficial soft-tissue masses were retrospectively collected. Two experienced radiologists (radiologists 1 and 2 with 8 and 30 years’ experience, respectively) analyzed the ultrasound images of each superficial soft-tissue mass and made a diagnosis of malignant mass or one of the five most common benign masses. After referring to the DLM results, they re-evaluated the diagnoses. The diagnostic performance and concerns of the radiologists were analyzed before and after referring to the results of the DLM results.

Results
In the validation cohort, DLM-1 was trained to distinguish between benign and malignant masses, with an AUC of 0.992 (95% CI: 0.980, 1.0) and an ACC of 0.987 (95% CI: 0.968, 1.0). DLM-2 was trained to classify the five most common benign masses (lipomyoma, hemangioma, neurinoma, epidermal cyst, and calcifying epithelioma) with AUCs of 0.986, 0.993, 0.944, 0.973, and 0.903, respectively. In addition, under the condition of the DLM-assisted diagnosis, the radiologists greatly improved their accuracy of differential diagnosis between benign and malignant tumors.

Conclusions
The proposed DLM system has high clinical application value in the differential diagnosis of superficial soft-tissue masses.
Influences of comorbidities on perioperative rehabilitation in patients with gastrointestinal cancers: a retrospective study
Authors: Seriu Naoto , Tsukamoto Shinji , Ishida Yukako , Yamanaka Nobuki , Mano Tomoo , Kobayashi Yasuyo , Sajiki-Ito Marina , Inagaki Yusuke , Tanaka Yuu , Sho Masayuki , Kido Akira 
Published: October 2023

Abstract
Background
Older patients are more likely to have comorbidities than younger patients, and multiple comorbidities are associated with mortality in patients with cancer. Therefore, we hypothesized that a functional comorbidity index could predict the therapeutic effects of rehabilitation.

Objectives
In this study, we investigate whether the comorbidities influenced the execution and therapeutic effects of rehabilitation.

Methods
A consecutive cohort of 48 patients with gastrointestinal cancer who underwent surgery between January 1 and November 30, 2020, was analyzed. Charlson Comorbidity Index (CCI) scores were calculated based on data derived from medical records. The primary outcomes were ambulation status, duration (days) from the start of postoperative rehabilitation, and length of hospital stay. We investigated the relationship between CCI scores and primary outcomes.

Results
The CCI did not correlate with the duration of rehabilitation or the length of hospital stay. Subsequently, patients with functional recovery problems were evaluated, and we identified the conditions that were not included in the list using CCI scores. Most conditions are associated with surgical complications. Furthermore, using the Clavien-Dindo classification (CDC), we assessed the clinical features of the severity of complications. We found that the length of stay and the duration to start rehabilitation were significantly longer in the patients with higher severity of surgical complications (CDC≧III) than in those with lower severity (CDC≦II).

Conclusions
Treatment-related conditions may significantly impact the perioperative period more than the original comorbidities. In addition to original comorbidities, events related to surgical complications should be assessed to determine the therapeutic effects of rehabilitation in patients with gastrointestinal cancer.
Factors associated with regional retention of physicians: a cross-sectional online survey of medical students and graduates in Japan
Authors: Koike Soichi , Okazaki Kentaro , Tokinobu Akiko , Matsumoto Masatoshi , Kotani Kazuhiko , Kataoka Hitomi 
Published: October 2023

Abstract
Background
Physician shortage and maldistribution is an urgent health policy issue requiring resolution. Determination of factors associated with regional retention and development of effective policy interventions will help to solve this issue. The purpose of the present study was to identify factors associated with regional retention and discuss their policy implications.

Methods
We conducted a cross-sectional online survey from February to March of 2022 for graduates from regional quotas (special quotas for medical schools to select students engaged in community medicine) and Jichi Medical University (JMU) and students at 10 medical schools including JMU. Completed surveys were obtained from 375 graduates and 1153 students. Questions included intention to continue to work in their home prefecture in the future, as well as background information and potential factors associated with regional retention. In the analyses, regional quotas and JMU were referred to as community medicine-oriented programs and schools (CMPS). We performed logistic regression analyses to identify factors associated with regional retention.

Results
Among the students, scholarship-bonded obligatory service, satisfaction with current life, intention to belong to ikyoku (a traditional physician allocation/training system in Japanese medical schools), and interest in general practice/family medicine were significantly positively associated with regional retention. Among the graduates, satisfaction with training environment, intention to belong to ikyoku, and recommending their program to high school students were significantly positively associated with regional retention. For students of CMPS, satisfaction with the career development program was positively associated with future regional retention. For graduates, this association was observed only in the crude analysis.

Conclusions
In addition to known factors such as interest in general practice/family medicine, intention to belong to ikyoku had a substantial impact on regional retention. The present results suggest that the career support system represented by ikyoku as well as a career development program are of potential importance for increasing regional retention through the mechanisms of a sense of belonging and a life-long education system. These findings provide useful information for the development of further policy interventions that interweave traditional and new systems to maximize their effectiveness.
Case report: JAK1/2 inhibition with baricitinib in the treatment of STING-associated vasculopathy with onset in infancy
Authors: Wu Jianqiang , Zhou Qing , Zhou Hua , Lu Meiping 
Published: October 2023

Abstract
Background
Gain-of-function mutations in STING1 (also known as TMEM173) which result in constitutive activation of STING, have been reported to cause STING-associated vasculopathy with onset in infancy (SAVI). Although a wider spectrum of associated manifestations and perturbations in disease onset have been observed since its description, the genotype-phenotype correlations are not definite, and there is no established treatment protocol for SAVI.

Case presentation
Herein, we report a kindred, heterozygous STING mutation (p.V155M) in which the 2-year-old proband suffered from severe interstitial lung disease (ILD) while her father was initially misdiagnosed with connective tissue disease associated with ILD at an adult age. Baricitinib was initiated after the diagnosis of SAVI in the proband combined with steroids, and during the 14-month follow-up, the respiratory symptoms were improved. However, as the improvement of laboratory indicators was limited, especially in autoimmune indices, and the lung CT images remained unaltered, it seems that JAK1/2 inhibition was unsatisfactory in completely controlling the inflammation of the disease in our study.

Conclusions
Baricitinib was shown to elicit some effect on the ILD but failed to control the inflammation of the disease completely. Further exploration of JAK inhibitors or other therapeutic strategies are needed to more optimally treat this inflammatory disease.
IL-1R1 signaling in TBI: assessing chronic impacts and neuroinflammatory dynamics in a mouse model of mild closed-head injury
Authors: Vincent Jonathan C. , Garnett Colleen N. , Watson James B. , Higgins Emma K. , Macheda Teresa , Sanders Lydia , Roberts Kelly N. , Shahidehpour Ryan K. , Blalock Eric M. , Quan Ning , Bachstetter Adam D. 
Published: October 2023

AbstractNeuroinflammation contributes to secondary injury cascades following traumatic brain injury (TBI), with alternating waves of inflammation and resolution. Interleukin-1 (IL-1), a critical neuroinflammatory mediator originating from brain endothelial cells, microglia, astrocytes, and peripheral immune cells, is acutely overexpressed after TBI, propagating secondary injury and tissue damage. IL-1 affects blood–brain barrier permeability, immune cell activation, and neural plasticity. Despite the complexity of cytokine signaling post-TBI, we hypothesize that IL-1 signaling specifically regulates neuroinflammatory response components. Using a closed-head injury (CHI) TBI model, we investigated IL-1's role in the neuroinflammatory cascade with a new global knock-out (gKO) mouse model of the IL-1 receptor (IL-1R1), which efficiently eliminates all IL-1 signaling. We found that IL-1R1 gKO attenuated behavioral impairments 14 weeks post-injury and reduced reactive microglia and astrocyte staining in the neocortex, corpus callosum, and hippocampus. We then examined whether IL-1R1 loss altered acute neuroinflammatory dynamics, measuring gene expression changes in the neocortex at 3, 9, 24, and 72 h post-CHI using the NanoString Neuroinflammatory panel. Of 757 analyzed genes, IL-1R1 signaling showed temporal specificity in neuroinflammatory gene regulation, with major effects at 9 h post-CHI. IL-1R1 signaling specifically affected astrocyte-related genes, selectively upregulating chemokines like Ccl2, Ccl3, and Ccl4, while having limited impact on cytokine regulation, such as Tnfα. This study provides further insight into IL-1R1 function in amplifying the neuroinflammatory cascade following CHI in mice and demonstrates that suppression of IL-1R1 signaling offers long-term protective effects on brain health.
CRISPR–Cas system to discover host-virus interactions in Flaviviridae
Authors: Ramezannia Zahra , Shamekh Ali , Bannazadeh Baghi Hossein 
Published: October 2023

AbstractThe Flaviviridae virus family members cause severe human diseases and are responsible for considerable mortality and morbidity worldwide. Therefore, researchers have conducted genetic screens to enhance insight into viral dependency and develop potential anti-viral strategies to treat and prevent these infections. The host factors identified by the clustered regularly interspaced short palindromic repeats (CRISPR) system can be potential targets for drug development. Meanwhile, CRISPR technology can be efficiently used to treat viral diseases as it targets both DNA and RNA. This paper discusses the host factors related to the life cycle of viruses of this family that were recently discovered using the CRISPR system. It also explores the role of immune factors and recent advances in gene editing in treating flavivirus-related diseases. The ever-increasing advancements of this technology may promise new therapeutic approaches with unique capabilities, surpassing the traditional methods of drug production and treatment.
Sustainability, spread, and scale in trials using audit and feedback: a theory-informed, secondary analysis of a systematic review
Authors: Laur Celia , Ladak Zeenat , Hall Alix , Solbak Nathan M. , Nathan Nicole , Buzuayne Shewit , Curran Janet A. , Shelton Rachel C. , Ivers Noah 
Published: October 2023

Abstract
Background
Audit and feedback (A&F) is a widely used implementation strategy to influence health professionals’ behavior that is often tested in implementation trials. This study examines how A&F trials describe sustainability, spread, and scale.

Methods
This is a theory-informed, descriptive, secondary analysis of an update of the Cochrane systematic review of A&F trials, including all trials published since 2011. Keyword searches related to sustainability, spread, and scale were conducted. Trials with at least one keyword, and those identified from a forward citation search, were extracted to examine how they described sustainability, spread, and scale. Results were qualitatively analyzed using the Integrated Sustainability Framework (ISF) and the Framework for Going to Full Scale (FGFS).

Results
From the larger review, n = 161 studies met eligibility criteria. Seventy-eight percent (n = 126) of trials included at least one keyword on sustainability, and 49% (n = 62) of those studies (39% overall) frequently mentioned sustainability based on inclusion of relevant text in multiple sections of the paper. For spread/scale, 62% (n = 100) of trials included at least one relevant keyword and 51% (n = 51) of those studies (31% overall) frequently mentioned spread/scale. A total of n = 38 studies from the forward citation search were included in the qualitative analysis. Although many studies mentioned the need to consider sustainability, there was limited detail on how this was planned, implemented, or assessed. The most frequent sustainability period duration was 12 months. Qualitative results mapped to the ISF, but not all determinants were represented. Strong alignment was found with the FGFS for phases of scale-up and support systems (infrastructure), but not for adoption mechanisms. New spread/scale themes included (1) aligning affordability and scalability; (2) balancing fidelity and scalability; and (3) balancing effect size and scalability.

Conclusion
A&F trials should plan for sustainability, spread, and scale so that if the trial is effective, the benefits can continue. A deeper empirical understanding of the factors impacting A&F sustainability is needed. Scalability planning should go beyond cost and infrastructure to consider other adoption mechanisms, such as leadership, policy, and communication, that may support further scalability.

Trial registration
Registered with Prospero in May 2022. CRD42022332606.
Exosomal long noncoding RNA MLETA1 promotes tumor progression and metastasis by regulating the miR-186-5p/EGFR and miR-497-5p/IGF1R axes in non-small cell lung cancer
Authors: Hsu Xiu-Rui , Wu Jia-En , Wu Yi-Ying , Hsiao Sheng-Yen , Liang Jui-Lin , Wu Ya-Ju , Tung Chia-Hao , Huang Meng-Fan , Lin Ming-Shiu , Yang Pan-Chyr , Chen Yuh-Ling , Hong Tse-Ming 
Published: October 2023

Abstract
Background
Lung cancer is the most common and deadliest cancer worldwide, and approximately 90% of all lung cancer deaths are caused by tumor metastasis. Tumor-derived exosomes could potentially promote tumor metastasis through the delivery of metastasis-related molecules. However, the function and underlying mechanism of exosomal long noncoding RNA (lncRNA) in lung cancer metastasis remain largely unclear.

Methods
Cell exosomes were purified from conditioned media by differential ultracentrifugation and observed using transmission electron microscopy, and the size distributions were determined by nanoparticle tracking analysis. Exosomal lncRNA sequencing (lncRNA-seq) was used to identify long noncoding RNAs. Cell migration and invasion were determined by wound-healing assays, two-chamber transwell invasion assays and cell mobility tracking. Mice orthotopically and subcutaneously xenografted with human cancer cells were used to evaluate tumor metastasis in vivo. Western blot, qRT‒PCR, RNA-seq, and dual-luciferase reporter assays were performed to investigate the potential mechanism. The level of exosomal lncRNA in plasma was examined by qRT‒PCR. MS2-tagged RNA affinity purification (MS2-TRAP) assays were performed to verify lncRNA-bound miRNAs.

Results
Exosomes derived from highly metastatic lung cancer cells promoted the migration and invasion of lung cancer cells with low metastatic potential. Using lncRNA-seq, we found that a novel lncRNA, lnc-MLETA1, was upregulated in highly metastatic cells and their secreted exosomes. Overexpression of lnc-MLETA1 augmented cell migration and invasion of lung cancer. Conversely, knockdown of lnc-MLETA1 attenuated the motility and metastasis of lung cancer cells. Interestingly, exosome-transmitted lnc-MLETA1 promoted cell motility and metastasis of lung cancer. Reciprocally, targeting lnc-MLETA1 with an LNA suppressed exosome-induced lung cancer cell motility. Mechanistically, lnc-MLETA1 regulated the expression of EGFR and IGF1R by sponging miR-186-5p and miR-497-5p to facilitate cell motility. The clinical datasets revealed that lnc-MLETA1 is upregulated in tumor tissues and predicts survival in lung cancer patients. Importantly, the levels of exosomal lnc-MLETA1 in plasma were positively correlated with metastasis in lung cancer patients.

Conclusions
This study identifies lnc-MLETA1 as a critical exosomal lncRNA that mediates crosstalk in lung cancer cells to promote cancer metastasis and may serve as a prognostic biomarker and potential therapeutic target for lung cancer diagnosis and treatment.