bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are online mental health interventions for youth effective? A systematic review
Authors: Zhou Xiaoyun , Edirippulige Sisira , Bai Xuejun , Bambling Matthew 
Published: November 2021

Objectives This systematic review aims to examine the effectiveness of online mental health interventions for youth. Methods We searched seven electronic databases (PubMed, PsycINFO, Medline, Embase, CINAHL, Web of Science and SCOPUS) for the past 10 years to identify randomized controlled trials which have evaluated the use of telehealth interventions for young people with mental health problems. The included studies were assessed for quality and risk of bias. Results Forty-five randomized controlled trials ( n = 13,291 participants) were eligible for this review. Most studies (35 trials) evaluated the use of web-based self-help platforms to deliver cognitive behavioural therapy (14 trials), mindfulness (four trials), acceptance commitment therapy (five trials) and positive psychology (two trials). Mobile/computer applications were used to deliver cognitive behavioural therapy (four trials) and coping strategies training (two trials). Web-based synchronous chat (one trial) was used to assist communication between counsellors and participants. Three studies used artificial intelligence-based conversational agents to deliver cognitive behavioural therapy (two trials) and problem-solving-strategy training (one trial). Eighty-two percent ( n = 37) identified the participants as student population (i.e. university students, high school students). Sixty-four percent ( n = 29) of the telehealth interventions were found to be effective in managing depression, anxiety, stress, insomnia and improving quality of life when compared with control conditions. Conclusions Online mental health interventions were found to be effective in managing diverse mental health conditions among youth. Online self-help platforms were the most frequently used modality and artificial intelligence-based chatbots are merging as potential solutions. Future research is warranted to investigate the solutions to improve the retention rate and satisfaction of telehealth interventions among this population.
Terrestrial ecological restoration in China: identifying advances and gaps
Authors: Cui Wenhui , Liu Junguo , Jia Jinlin , Wang Pengfei 
Published: November 2021

AbstractBackgroundChina has made great progress in ecological restoration. However, there have been no analyses on ecological restoration for specific terrestrial ecosystems. This study identified the important knowledge gaps and advances related to terrestrial ecological restoration in China.Results7973 papers published between 1978 and 2020 were investigated and about 962 articles were used in this analysis after manually screening. Since the first large national ecological restoration project in 1978, the most frequently studied ecosystem has shifted from farmland ecosystems in 1978–2000 to forest ecosystems after 2000. Forests were the most common ecosystem type investigated, while less attention was paid to wetlands and riparian systems. Meanwhile, the most common ecological issue shifted from environmental pollution in 1978–2000 to the declining resource-carrying capacity of ecosystems after 2000. Studies of ecoregions on the Loess Plateau catchment accounted for more than 40% of papers reviewed in this study, with predominant emphasis on soil and water conservation functionality. Besides, revegetation and afforestation characterized most ecological restoration projects in China, but the natural restoration was relatively less adopted. Additionally, the important tool of reference ecosystem was only used in four studies.ConclusionsEcological restoration has made significant progress in China. We investigated how the ecological restoration can be implemented more effectively. More projects should be implemented for restorative work in wetlands and riparian systems in future. The tradeoff between restorative activities, water resources, and carbon sink needs further research efforts. More emphasis on biodiversity conservation is warranted. Newly developed theory (e.g., stepwise ecological restoration) and the recently issued Chinese National Guidelines for Ecological Restoration Projects should be more effectively implemented in future restorative works. This study provides essential information for future restorative work in China. It also provides insights into the development of policy relevant to restoration and adaptive management during the U.N. restoration decade.
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
Authors: Zhang Yiran , Archer Kellie J. 
Published: November 2021

AbstractBackgroundAcute myeloid leukemia (AML) is a heterogeneous cancer of the blood, though specific recurring cytogenetic abnormalities in AML are strongly associated with attaining complete response after induction chemotherapy, remission duration, and survival. Therefore recurring cytogenetic abnormalities have been used to segregate patients into favorable, intermediate, and adverse prognostic risk groups. However, it is unclear how expression of genes is associated with these prognostic risk groups. We postulate that expression of genes monotonically associated with these prognostic risk groups may yield important insights into leukemogenesis. Therefore, in this paper we propose penalized Bayesian ordinal response models to predict prognostic risk group using gene expression data. We consider a double exponential prior, a spike-and-slab normal prior, a spike-and-slab double exponential prior, and a regression-based approach with variable inclusion indicators for modeling our high-dimensional ordinal response, prognostic risk group, and identify genes through hypothesis tests using Bayes factor.ResultsGene expression was ascertained using Affymetrix HG-U133Plus2.0 GeneChips for 97 favorable, 259 intermediate, and 97 adverse risk AML patients. When applying our penalized Bayesian ordinal response models, genes identified for model inclusion were consistent among the four different models. Additionally, the genes included in the models were biologically plausible, as most have been previously associated with either AML or other types of cancer.ConclusionThese findings demonstrate that our proposed penalized Bayesian ordinal response models are useful for performing variable selection for high-dimensional genomic data and have the potential to identify genes relevantly associated with an ordinal phenotype.
PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning
Authors: Bektaş Ayyüce Begüm , Gönen Mehmet 
Published: November 2021

Abstract
Background
Identification of molecular mechanisms that determine tumour progression in cancer patients is a prerequisite for developing new disease treatment guidelines. Even though the predictive performance of current machine learning models is promising, extracting significant and meaningful knowledge from the data simultaneously during the learning process is a difficult task considering the high-dimensional and highly correlated nature of genomic datasets. Thus, there is a need for models that not only predict tumour volume from gene expression data of patients but also use prior information coming from pathway/gene sets during the learning process, to distinguish molecular mechanisms which play crucial role in tumour progression and therefore, disease prognosis.

Results
In this study, instead of initially choosing several pathways/gene sets from an available set and training a model on this previously chosen subset of genomic features, we built a novel machine learning algorithm, PrognosiT, that accomplishes both tasks together. We tested our algorithm on thyroid carcinoma patients using gene expression profiles and cancer-specific pathways/gene sets. Predictive performance of our novel multiple kernel learning algorithm (PrognosiT) was comparable or even better than random forest (RF) and support vector regression (SVR). It is also notable that, to predict tumour volume, PrognosiT used gene expression features less than one-tenth of what RF and SVR algorithms used.

Conclusions
PrognosiT was able to obtain comparable or even better predictive performance than SVR and RF. Moreover, we demonstrated that during the learning process, our algorithm managed to extract relevant and meaningful pathway/gene sets information related to the studied cancer type, which provides insights about its progression and aggressiveness. We also compared gene expressions of the selected genes by our algorithm in tumour and normal tissues, and we then discussed up- and down-regulated genes selected by our algorithm while learning, which could be beneficial for determining new biomarkers.
The GC-TOF/MS-based Metabolomic analysis reveals altered metabolic profiles in nitrogen-deficient leaves and roots of tea plants (Camellia sinensis)
Authors: Lin Zheng-He , Chen Chang-Song , Zhong Qiu-Sheng , Ruan Qi-Chun , Chen Zhi-Hui , You Xiao-Mei , Shan Rui-Yang , Li Xin-Lei 
Published: November 2021

Abstract
Background
Nitrogen (N) fertilizer is commonly considered as one of the most important limiting factors in the agricultural production. As a result, a large amount of N fertilizer is used to improve the yield in modern tea production. Unfortunately, the large amount of N fertilizer input has led to increased plant nitrogen-tolerance and decreased amplitude of yield improvement, which results in significant N loss, energy waste and environment pollution. However, the effects of N-deficiency on the metabolic profiles of tea leaves and roots are not well understood.

Results
In this study, seedlings of Camellia sinensis (L.) O. Kuntze Chunlv 2 were treated with 3 mM NH4NO3 (Control) or without NH4NO3 (N-deficiency) for 4 months by sandy culture. The results suggested that N-deficiency induced tea leaf chlorosis, impaired biomass accumulation, decreased the leaf chlorophyll content and N absorption when they were compared to the Control samples. The untargeted metabolomics based on GC-TOF/MS approach revealed a discrimination of the metabolic profiles between N-deficient tea leaves and roots. The identification and classification of the altered metabolites indicated that N deficiency upregulated the relative abundances of most phenylpropanoids and organic acids, while downregulated the relative abundances of most amino acids in tea leaves. Differentially, N-deficiency induced the accumulation of most carbohydrates, organic acids and amino acids in tea roots. The potential biomarkers screened in N-deficient leaves compared to Control implied that N deficiency might reduce the tea quality. Unlike the N-deficient leaves, the potential biomarkers in N-deficient roots indicated an improved stress response might occur in tea roots.

Conclusions
The results demonstrated N deficiency had different effects on the primary and secondary metabolism in tea leaves and roots. The findings of this study will facilitate a comprehensive understanding of the N-deficient tea plants and provide a valuable reference for the optimized N nutrient management and the sustainable development in the tea plantations.
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases
Authors: Biedermann Patricia , Ong Rose , Davydov Alexander , Orlova Alexandra , Solovyev Philip , Sun Hong , Wetherill Graham , Brand Monika , Didden Eva-Maria 
Published: November 2021

Abstract
Background
The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) can be used to transform observational health data to a common format. CDM transformation allows for analysis across disparate databases for the generation of new, real-word evidence, which is especially important in rare disease where data are limited. Pulmonary hypertension (PH) is a progressive, life-threatening disease, with rare subgroups such as pulmonary arterial hypertension (PAH), for which generating real-world evidence is challenging. Our objective is to document the process and outcomes of transforming registry data in PH to the OMOP CDM, and highlight challenges and our potential solutions.

Methods
Three observational studies were transformed from the Clinical Data Interchange Standards Consortium study data tabulation model (SDTM) to OMOP CDM format. OPUS was a prospective, multi-centre registry (2014–2020) and OrPHeUS was a retrospective, multi-centre chart review (2013–2017); both enrolled patients newly treated with macitentan in the US. EXPOSURE is a prospective, multi-centre cohort study (2017–ongoing) of patients newly treated with selexipag or any PAH-specific therapy in Europe and Canada. OMOP CDM version 5.3.1 with recent OMOP CDM vocabulary was used. Imputation rules were defined and applied for missing dates to avoid exclusion of data. Custom target concepts were introduced when existing concepts did not provide sufficient granularity.

Results
Of the 6622 patients in the three registry studies, records were mapped for 6457. Custom target concepts were introduced for PAH subgroups (by combining SNOMED concepts or creating custom concepts) and World Health Organization functional class. Per the OMOP CDM convention, records about the absence of an event, or the lack of information, were not mapped. Excluding these non-event records, 4% (OPUS), 2% (OrPHeUS) and 1% (EXPOSURE) of records were not mapped.

Conclusions
SDTM data from three registries were transformed to the OMOP CDM with limited exclusion of data and deviation from the SDTM database content. Future researchers can apply our strategy and methods in different disease areas, with tailoring as necessary. Mapping registry data to the OMOP CDM facilitates more efficient collaborations between researchers and establishment of federated data networks, which is an unmet need in rare diseases.
Relationship between blood pressure levels and ischemic stroke, myocardial infarction, and mortality in very elderly patients taking antihypertensives: a nationwide population-based cohort study
Authors: Song Myung-Sun , Choi Yeon joo , Kim Hyunjin , Nam Myung Ji , Lee Chung-woo , Han Kyungdo , Jung Jin-Hyung , Park Yong-Gyu , Kim Do-Hoon , Park Joo-Hyun 
Published: November 2021

Abstract
Background
In the very elderly, “the lower the better” hypothesis has constantly been contradicted by randomized control trials and various cohort studies, but inconsistency in results led to unclear blood pressure treatment targets. This study aimed to assess the relationship between baseline blood pressure (BP) and ischemic stroke, myocardial infarction, and all-cause mortality in very elderly people treated for hypertension.

Methods
This large population-based retrospective cohort study was based on the national claims database of the Korean National Health Insurance System, which covers the entire Korean population. 374,250 participants aged ≥ 75 years taking antihypertensive agents were recruited, excluding patients with a history of previous ischemic stroke or myocardial infarction.

Results
Systolic BP (SBP) followed a J curve for ischemic stroke and a U curve for all-cause mortality, with nadir ranges of 120 to 129 mmHg and 140 to 149 mmHg, respectively. While increasing diastolic BP (DBP) generally resulted in higher HRs for ischemic stroke, HRs for myocardial infarction and all-cause mortality significantly increased only when DBP was ≥ 80 mmHg and ≥ 90 mmHg, respectively. The SBP/DBP combination analysis showed that even with SBP < 130 mmHg, higher DBP ≥ 90 mmHg had higher HRs for all three outcomes compared to the reference group (130 to 149 / < 80 mmHg).

Conclusions
There were no further benefits or even harm below certain BP levels for ischemic stroke, myocardial infarction, and all-cause mortality in very elderly hypertensive patients.
Kidney biopsy in very elderly patients: indications, therapeutic impact and complications
Authors: Fedi Mathilde , Bobot Mickaël , Torrents Julia , Gobert Pierre , Magnant Éric , Knefati Yannick , Verhelst David , Lebrun Gaëtan , Masson Valérie , Giaime Philippe , Santini Julien , Bataille Stanislas , Brunet Philippe , Dussol Bertrand , Burtey Stéphane , Mancini Julien , Daniel Laurent , Jourde-Chiche Noémie 
Published: November 2021

Abstract
Background
Few data is available on the risk/benefit balance of native kidney biopsy (KB) in very elderly patients.

Methods
Multicenter retrospective cohort study in the Aix-Marseille area: the results of KB and medical charts of all patients over 85 years biopsied between January 2010 and December 2018 were reviewed.

Results
104 patients were included. Median age was 87 years. Indications for KB were: acute kidney injury (AKI) in 69.2% of patients, nephrotic syndrome (NS) with AKI in 13.5%, NS without AKI in 12.5%, and proteinuria in 4.8%. Median serum creatinine was 262 μmol/L, 21% of patients required dialysis at the time of KB. Significant bleeding occurred in 7 (6.7%) patients, requiring blood cell transfusion in 4 (3.8%), and radiological embolization in 1 (1%). The most frequent pathological diagnoses were: non-diabetic glomerular diseases (29.8%, including pauci-immune crescentic glomerulonephritis in 9.6%), hypertensive nephropathy (27.9%), acute interstitial nephritis (16.3%), renal involvement of hematological malignancy (8.7%), and acute tubular necrosis (6.7%). After KB, 51 (49%) patients received a specific treatment: corticosteroids (41.3%), cyclophosphamide (6.7%), rituximab (6.7%), bortezomib (3.8%), other chemotherapies (3.8%). Median overall survival was 31 months.

Conclusions
KB can reveal a diagnosis with therapeutic impact even in very elderly patients. Severe bleeding was not frequent in this cohort, but KB may have not been performed in more vulnerable patients.
The burden of medication overuse headache and patterns of switching and discontinuation among triptan users: a systematic literature review
Authors: Deighton Alison M. , Harris Linda A. , Johnston Karissa , Hogan Shomari , Quaranta Lynn A. , L’Italien Gilbert , Coric Vlad 
Published: November 2021

AbstractBackgroundA synthesis of real-world discontinuation and switching patterns among triptan users and rates of acute medication use among patients with medication overuse headache (MOH) is needed to better understand the burden among patients with migraine. The study objectives were to: (1) synthesize rates of switching and discontinuation from triptans; (2) characterize acute medication use among patients with MOH; and (3) describe the associated burden.MethodsA systematic literature review was conducted, under the Preferred Reporting Items for Systematic Review guidelines, using MEDLINE/EMBASE from database inception to July 2019. The search strategy targeted studies of adults with migraine, and included terms related to migraine and its treatment. Continuous variables were summarized using means, standard deviations, and ranges. Dichotomous and categorical variables were summarized using the number and proportion of individuals.ResultsTwenty studies were included; seven describing patterns of switching and discontinuation among triptan users, and 13 characterizing triptan overuse among patients with MOH. High rates of switching to non-specific acute medications and low two-year retention rates were reported; among US samples switching to opioids at the first refill (18.2%) or after 1-year (15.5%) was frequent. Compared to persistent use of triptans, switchers experienced greater headache related impact and either no improvement or increased headache-related disability. Rates of medication overuse by agent among patients with MOH varied greatly across the included studies, and only one study described factors associated with the risk of MOH (e.g. duration of medication overuse). Medication agent, increased headache frequency (p = .008), and increased disability (p = .045) were associated with unsuccessful withdrawal; patients overusing triptans were more successful at withdrawal than those overusing opioids or combination analgesics (P < .0001).ConclusionsThe evidence summarized here highlights that rates of WCS are low and many patients turn to other acute medication at their first refill. Patients may experience no improvement in disability when switching from one triptan agent to another, or experience increasing disability and/or increasing migraine frequency when turning to traditional acute treatment for migraine. Variability in health care settings, patient severity, and study design contributed to heterogeneity across the synthesis.
Effect of long-term adjuvant temozolomide chemotherapy on primary glioblastoma patient survival
Authors: Huang Bin , Yu Zuan , Liang Risheng 
Published: November 2021

Abstract
Objective
Glioblastoma multiforme (GBM) is the most common primary malignant central nervous system (CNS) tumor. The Stupp regimen is the standard treatment, although the optimal number of temozolomide (TMZ) treatment cycles remains controversial. We compared the effects of standard 6 cycles versus > 6 cycles of TMZ chemotherapy post-surgery with concurrent chemoradiotherapy on primary GBM patient survival.

Patients and methods
We performed a single center retrospective study of GBM patients that underwent total resection, concurrent chemoradiotherapy, and at least 6 cycles of adjuvant TMZ chemotherapy from June 2011 to August 2018. Patients were divided into 2 groups based on adjuvant TMZ treatment plan: Group A(n = 27): standard 6-cycle adjuvant TMZ therapy and Group B(n = 26): > 6 cycles of adjuvant TMZ therapy. Primary endpoints were progression-free survival (PFS) and overall survival (OS). Continuous variables were analyzed by ANOVA, and the Kaplan-Meier method was used to evaluate PFS and OS. Univariate and multivariate COX analyses determined correlation between survival rates and covariates. We used The Mini Mental State Examination (MMSE) and Karnofsky Performance Status (KPS) to assess patients’ neurocognitive function and quality of life.

Results
After follow-up, median PFS was 15 months in in Group A (95%CI 9.5–20.5) and 20.1 months in Group B (95%CI 15.9–24.4). Group A median OS was 19.4 months (95%CI 15.5–23.2), compared to 25.6 months in Group B (95%CI 20.4–30.8). The 2-year survival rate of Groups A and B was 36% was 66%, respectively (P = 0.02). and 5-year survival was 7% in both. Multivariate COX regression analysis showed association between patient PFS and long-period adjuvant chemotherapy, but not OS. There were no significant difference in disability or quality of life during treatment with Stupp protocol, but differences in MMSE and KPS were in favour of the Groups B after year 1 of the treatment (P < 0.05).

Conclusions
Long-term adjuvant TMZ chemotherapy was beneficial for PFS and 2-year survival rate in GBM patients, and improved their quality of life contemporarily. But OS was not significantly improved.