bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exposure to different types of mass media and timing of antenatal care initiation: insights from the 2016 Uganda Demographic and Health Survey
Authors: Sserwanja Quraish , Mutisya Linet M. , Musaba Milton W. 
Published: January 2022

AbstractBackgroundEarly initiation of antenatal care (ANC) within the first trimester is highly recommended in the current 2016 World Health Organization (WHO) guidelines. Mass media has the potential to promote early initiation of ANC because it has been used successfully in several programs. However, there is paucity of literature on the effect of exposure to different types of media on the timing of ANC initiation in Uganda. Our study aimed at exploring associations between exposure to different types of mass media and timing of ANC initiation among women in Uganda.MethodsWe used a cross sectional study design, to conduct a secondary analysis of data collected in the 2016 Uganda Demographic and Health Survey (UDHS). We included weighted data of all the 10,152 women of reproductive age (15–49 years). Multistage stratified sampling was used to select study participants. Multivariable logistic regression was used to determine the association between exposure to different types of mass media and early initiation of ANC.ResultsAlmost a third of the women (2953/10,152, 29.1%, 95% CI 27.9–29.6) initiated their first ANC contact in the first trimester. Women who listened to radio at least once a week (adjusted OR (aOR 1.14, 95% CI 1.01–1.30) and those who watched television less than once a week (aOR 1.28, 95% CI 1.07–1.53) had higher odds of initiating ANC earlier compared to their counterparts not exposed to radio and television respectively.ConclusionExposure to radio and television is associated with timing of ANC initiation in Uganda. Importantly, the two types of mass media have the potential to reach women with low levels of education and encourage them to utilize maternal health services. The Ugandan government needs to prioritize and intensify the use of radio and television to promote the benefits associated with timing of ANC initiation.
Disease risk analysis for schizophrenia patients by an automatic AHP framework
Authors: Tan Wenyan , Weng Heng , Lin Haicheng , Ou Aihua , He Zehui , Jia Fujun 
Published: January 2022

Abstract
Background
Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to support chronic disease management and clinical research for schizophrenia patients.

Methods
Based on a mental health information and intelligent data processing platform, we design an automatic AHP framework called AutoAHP to analyze and predict the disease risks of schizophrenia patients. Through automatic extraction, transformation and integration of follow-up data in the real world such as demography, treatment, and the disease course, a chronic database of patient status is established. In combination with age-period-cohort, logistic regression and Cox models, we apply the AutoAHP to assess disease risk and implement risk prediction in practice.

Results
A list of essential factors for risk prediction are identified, including annual changes in mental health policy, public support, regional difference, patient gender, compliance, and social function. After the verification of 1,222,038 complete disease course and treatment records of 256,050 patients, the AutoAHP framework achieves a precision of 0.923, a recall of 0.924, and a F1 of 0.923. The model is demonstrated to be superior to general models and has better performance in risk prediction.

Conclusions
Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.
Conventional health care service utilization among cancer survivors that visit traditional and complementary providers in the Tromsø study: a cross-sectional study
Authors: Nakandi Kiwumulo , Mora Dana , Stub Trine , Kristoffersen Agnete E. 
Published: January 2022

Abstract
Background
Traditional and complementary medicine (T&CM) is commonly used among cancer patients worldwide. Cancer patients in Norway mainly visit T&CM providers in addition to conventional health care services. It is not known how their utilization of T&CM providers influences their use of conventional health care services. The aim of this study was to investigate the difference between the utilization of conventional health care services among cancer survivors that visit T&CM providers and those that do not, and their associated factors.

Method
Health care service utilization data were obtained from cancer survivors 40 years and above participating in the Tromsø Study: Tromsø 7 conducted in 2015–2016. Data were collected from self-administered questionnaires. Pearson chi-square tests, Fisher exact tests, t-test, and logistic regression were used, with the significance level considered at p < 0.05.

Results
Of 1553 individuals, 10% (n = 155) reported visiting T&CM providers in the past 12 months. As both cancer survivors visiting and not visiting T&CM providers were frequent users of conventional health care, no significant differences were found in the overall use of conventional health care (98.1vs.94.5%, p = .056). Users of T&CM providers were however more likely to visit physiotherapists (40.1% vs 25%, p < .001), emergency rooms (29.2% vs 16.5%, p < .001), chiropractors (17% vs 6%, p < .001), and psychologist/psychiatrist (8.9% vs 3.4%, p < .001). They also had more frequent visits to conventional health care (11.45 vs 8.31 yearly visits, p = 0.014), particularly to general practitioners (5.21 visits vs. 3.94 visits, p = .002).

Conclusion
Results from this study show that visits to T&CM providers are associated with more visits to conventional health care services among cancer survivors. Further studies are needed to investigate the reasons for this high use behavior.
Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis
Authors: Bouras Emmanouil , Karhunen Ville , Gill Dipender , Huang Jian , Haycock Philip C. , Gunter Marc J. , Johansson Mattias , Brennan Paul , Key Tim , Lewis Sarah J. , Martin Richard M. , Murphy Neil , Platz Elizabeth A. , Travis Ruth , Yarmolinsky James , Zuber Verena , Martin Paul , Katsoulis Michail , Freisling Heinz , Nøst Therese Haugdahl , Schulze Matthias B. , Dossus Laure , Hung Rayjean J. , Amos Christopher I. , Ahola-Olli Ari , Palaniswamy Saranya , Männikkö Minna , Auvinen Juha , Herzig Karl-Heinz , Keinänen-Kiukaanniemi Sirkka , Lehtimäki Terho , Salomaa Veikko , Raitakari Olli , Salmi Marko , Jalkanen Sirpa ,   The PRACTICAL consortium, CRUK  ,   BPC3, CAPS  , PEGASUS  , Jarvelin Marjo-Riitta , Dehghan Abbas , Tsilidis Konstantinos K. 
Published: January 2022

Abstract
Background
Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) analysis.

Methods
Up to 31,112 individuals of European descent were included in genome-wide association study (GWAS) meta-analyses of 47 circulating cytokines. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene (cis), were used as instrumental variables. Inverse-variance weighted MR was used as the primary analysis, and the MR assumptions were evaluated in sensitivity and colocalization analyses and a false discovery rate (FDR) correction for multiple comparisons was applied. Corresponding germline GWAS summary data for five cancer outcomes (breast, endometrial, lung, ovarian, and prostate), and their subtypes were selected from the largest cancer-specific GWASs available (cases ranging from 12,906 for endometrial to 133,384 for breast cancer).

Results
There was evidence of inverse associations of macrophage migration inhibitory factor with breast cancer (OR per SD = 0.88, 95% CI 0.83 to 0.94), interleukin-1 receptor antagonist with endometrial cancer (0.86, 0.80 to 0.93), interleukin-18 with lung cancer (0.87, 0.81 to 0.93), and beta-chemokine-RANTES with ovarian cancer (0.70, 0.57 to 0.85) and positive associations of monokine induced by gamma interferon with endometrial cancer (3.73, 1.86 to 7.47) and cutaneous T-cell attracting chemokine with lung cancer (1.51, 1.22 to 1.87). These associations were similar in sensitivity analyses and supported in colocalization analyses.

Conclusions
Our study adds to current knowledge on the role of specific inflammatory biomarker pathways in cancer aetiology. Further validation is needed to assess the potential of these cytokines as pharmacological or lifestyle targets for cancer prevention.
Mycoplasma agalactiae ST35: a new sequence type with a minimal accessory genome primarily affecting goats
Authors: Filioussis George , Bramis Georgios , Petridou Evanthia , Giadinis Nektarios D. , Nouvel Laurent-Xavier , Citti Christine , Frey Joachim 
Published: January 2022

Abstract
Background
Mycoplasma agalactiae, causing agent of contagious agalactia, infects domestic small ruminants such as sheep and goats but also wild Caprinae. M. agalactiae is highly contagious and transmitted through oral, respiratory, and mammary routes spreading rapidly in an infected herd.

Results
In an outbreak of contagious agalactia in a mixed herd of sheep and goats, 80% of the goats were affected displaying swollen udders and loss of milk production but no other symptom such as kerato-conjunctivitis, arthritis or pulmonary distress commonly associated to contagious agalactia. Surprisingly, none of the sheep grazing on a common pasture and belonging to the same farm as the goats were affected. Whole genome sequencing and analysis of M. agalactiae strain GrTh01 isolated from the outbreak, revealed a previously unknown sequence type, ST35, and a particularly small, genome size of 841′635 bp when compared to others available in public databases. Overall, GrTh01 displayed a reduced accessory genome, with repertoires of gene families encoding variable surface proteins involved in host-adhesion and variable antigenicity being scaled down. GrTh01 was also deprived of Integrative Conjugative Element or prophage, and had a single IS element, suggesting that GrTh01 has a limited capacity to adapt and evolve.

Conclusions
The lack of most of the variable antigens and the Integrative Conjugative Element, both major virulence- and host specificity factors of a M. agalactiae strain isolated from an outbreak affecting particularly goats, indicates the implication of these factors in host specificity. Whole genome sequencing and full assembly of bacterial pathogens provides a most valuable tool for epidemiological and virulence studies of M. agalactiae without experimental infections.
Technical note: subscapularis-sparing approach to perform anatomic total shoulder arthroplasty using a multiplanar humeral osteotomy and angled glenoid instruments
Authors: Desai Sohil S. , Nelson Ryan A. , Korbel Kayla C. , Levine William N. , Goldberg Steven S. 
Published: January 2022

Abstract
Background
Anatomic total shoulder arthroplasty is typically performed through the deltopectoral approach followed by either a subscapularis tenotomy, tendon peel, or lesser tuberosity osteotomy to provide adequate exposure. These subscapularis-takedown methods have been associated with incomplete subscapularis healing, however, and as a result often lead to functional deficits and complications. Subscapularis-sparing approaches have been introduced to mitigate these complications, but thus far have either been limited to hemiarthroplasty or resulted in residual inferior humeral head osteophytes and humeral component size mismatch. The present technique demonstrates the possibility for surgeons to capitalize on the improved patient outcomes that are afforded by subscapularis-sparing approaches, while still utilizing the deltopectoral interval to perform a total glenohumeral joint arthroplasty.

Methods
This article describes in detail the placement of a stemless anatomic TSA with the use of angled glenoid instruments through a subscapularis-sparing deltopectoral approach. Postoperatively, patients are placed in a sling but are instructed to remove as tolerated, as early as the 1st postoperative week. Physical therapy is started at week 1 with a 4-phase progression.

Conclusions
This technique using a TSA system with a polyaxial glenoid reamer and angled pegs on the backside of the glenoid allows the potential for maintenance of the strong postoperative radiographic and patient-reported outcomes that are achieved using traditional TSA approaches, with the advantage of accelerated rehabilitation protocols and decreased risk of subscapularis insufficiency that result from the use of subscapularis-sparing approaches.
Incidence and risk factors associated with preoperative deep venous thrombosis in the young and middle-aged patients after hip fracture
Authors: Ding Kai , Wang Haicheng , Jia Yuxuan , Zhao Yan , Yang Weijie , Chen Wei , Zhu Yanbin 
Published: January 2022

Abstract
Objective
This study aims to investigate the incidence, occurrence timing and locations of preoperative DVT and identify the associated factors in this group.

Methods
A retrospective analysis of collected data in young and middle-aged (18–59 years) patients who presented with hip fracture between October 2015 and December 2018 was conducted. Before operation, patients were routinely examined for DVT by Duplex ultrasonography (DUS). Electronic medical records were retrieved to collect the data, involving demographics, comorbidities, injury and laboratory biomarkers after admission. Multivariate logistic regression analysis was performed to identify factors that were independently associated with DVT.

Results
Eight hundred and fifty-seven patients were included, and 51 (6.0%) were diagnosed with preoperative DVT, with 2.5% for proximal DVT. The average age of patients with DVT is 48.7 ± 9.4 year, while that of patients without DVT is 45.0 ± 10.9 year. The mean time from injury to diagnosis of DVT was 6.8 ± 5.5 days, 43.1% cases occurring at day 2–4 after injury. Among 51 patients with DVT, 97 thrombi were found. Most patients had thrombi at injured extremity (72.5%), 19.6% at uninjured and 7.8% at bilateral extremities. There are significantly difference between patients with DVT and patients without DVT in term of prevalence of total protein (41.2% vs 24.4%, P = 0.008), albumin (54.9% vs 25.6%, P = 0.001), low lactate dehydrogenase (51.0% vs 30.3%, P = 0.002), lower serum sodium concentration (60.8% vs 29.9%, P = 0.001), lower RBC count (68.6% vs 37.0%, P = 0.001), lower HGB (51.0% vs 35.1%, P = 0.022), higher HCT (86.3% vs 35.1%, P = 0.022) and higher platelet count (37.3% vs 11.3%, P = 0.001). The multivariate analyses showed increasing age in year (OR 1.04, 95% CI; P = 0.020), delay to DUS (OR, 1.26; P = 0.001), abnormal LDH (OR, 1.45; P = 0.026), lower serum sodium concentration (OR, 2.56; P = 0.007), and higher HCT level (OR, 4.11; P = 0.003) were independently associated with DVT.

Conclusion
These findings could be beneficial in informed preventive of DVT and optimized management of hip fracture in specific group of young and mid-aged patients.
MiR-423-5p prevents MALAT1-mediated proliferation and metastasis in prostate cancer
Authors: Ferri Carmela , Di Biase Anna , Bocchetti Marco , Zappavigna Silvia , Wagner Sarah , Le Vu Pauline , Luce Amalia , Cossu Alessia Maria , Vadakekolathu Jayakumar , Miles Amanda , Boocock David J. , Robinson Alex , Schwerdtfeger Melanie , Tirino Virginia , Papaccio Federica , Caraglia Michele , Regad Tarik , Desiderio Vincenzo 
Published: January 2022

Abstract
Background
The long non-coding RNA (lncRNA), MALAT1, plays a key role in the development of different cancers, and its expression is associated with worse prognosis in patients. However, its mechanism of action and its regulation are not well known in prostate cancer (PCa). A general mechanism of action of lncRNAs is their interaction with other epigenetic regulators including microRNAs (miRNAs).

Methods
Using lentiviral stable miRNA transfection together with cell biology functional assays and gene expression/target analysis, we investigated the interaction between MALAT1 and miR-423-5p, defined as a target with in silico prediction analysis, in PCa.

Results
Through bioinformatic analysis of data available from TCGA, we have found that MALAT1 expression correlates with high Gleason grade, metastasis occurrence, and reduced survival in PCa patients. These findings were validated on a TMA of PCa showing a significant correlation between MALAT1 expression with both stage and grading. We report that, in PCa cells, MALAT1 expression and activity is regulated by miR-423-5p that binds MALAT1, downregulates its expression and inhibits its activity in promoting proliferation, migration, and invasion. Using NanoString analysis, we unraveled downstream cell pathways that were affected by miR-423-5p expression and MALAT1 downregulation and identified several alterations in genes that are involved in metastatic response and angiogenic pathways. In addition, we showed that the overexpression of miR-423-5p increases survival and decreases metastases formation in a xenograft mouse model.

Conclusions
We provide evidence on the role of MALAT1 in PCa tumorigenesis and progression. Also, we identify a direct interaction between miR-423-5p and MALAT1, which results in the suppression of MALAT1 action in PCa.
Contribution of 3D genome topological domains to genetic risk of cancers: a genome-wide computational study
Authors: Jablonski Kim Philipp , Carron Leopold , Mozziconacci Julien , Forné Thierry , Hütt Marc-Thorsten , Lesne Annick 
Published: January 2022

AbstractBackgroundGenome-wide association studies have identified statistical associations between various diseases, including cancers, and a large number of single-nucleotide polymorphisms (SNPs). However, they provide no direct explanation of the mechanisms underlying the association. Based on the recent discovery that changes in three-dimensional genome organization may have functional consequences on gene regulation favoring diseases, we investigated systematically the genome-wide distribution of disease-associated SNPs with respect to a specific feature of 3D genome organization: topologically associating domains (TADs) and their borders.ResultsFor each of 449 diseases, we tested whether the associated SNPs are present in TAD borders more often than observed by chance, where chance (i.e., the null model in statistical terms) corresponds to the same number of pointwise loci drawn at random either in the entire genome, or in the entire set of disease-associated SNPs listed in the GWAS catalog. Our analysis shows that a fraction of diseases displays such a preferential localization of their risk loci. Moreover, cancers are relatively more frequent among these diseases, and this predominance is generally enhanced when considering only intergenic SNPs. The structure of SNP-based diseasome networks confirms that localization of risk loci in TAD borders differs between cancers and non-cancer diseases. Furthermore, different TAD border enrichments are observed in embryonic stem cells and differentiated cells, consistent with changes in topological domains along embryogenesis and delineating their contribution to disease risk.ConclusionsOur results suggest that, for certain diseases, part of the genetic risk lies in a local genetic variation affecting the genome partitioning in topologically insulated domains. Investigating this possible contribution to genetic risk is particularly relevant in cancers. This study thus opens a way of interpreting genome-wide association studies, by distinguishing two types of disease-associated SNPs: one with an effect on an individual gene, the other acting in interplay with 3D genome organization.
Effects of snow manipulation on larch trees in the taiga forest ecosystem in northeastern Siberia
Authors: Shakhmatov Ruslan , Hashiguchi Shuhei , Maximov Trofim C. , Sugimoto Atsuko 
Published: January 2022

AbstractChanges in winter precipitation (snow) may greatly affect vegetation by altering hydrological and biochemical processes. To understand the effects of changing snow cover depth and melt timing on the taiga forest ecosystem, a snow manipulation experiment was conducted in December 2015 at the Spasskaya Pad experimental larch forest in Eastern Siberia, which is characterized by a continental dry climate with extreme cold winters and hot summers. Variables including soil temperature and moisture, oxygen and hydrogen isotope ratios of soil moisture and stem water, foliar nitrogen and carbon contents and their isotopes, phenology, and soil inorganic nitrogen were observed at snow removal (SNOW−), snow addition (SNOW+), and CONTROL plots. After snow manipulation, the soil temperature at the SNOW− plot decreased significantly compared to the CONTROL and SNOW+ plots. At SNOW− plot, snowmelt was earlier and soil temperature was higher than at other plots during spring because of low soil moisture caused by less snowmelt water. Despite the earlier snowmelt and higher soil temperature in the SNOW− plot in the early growing season, needle elongation was delayed. Leaf chemistry also differed between the CONTROL and SNOW− plots. The needle nitrogen content in the SNOW− plot was lower in the middle of July, whereas no difference was observed among the three plots in August. The soil inorganic nitrogen content of each plot corresponded to these results. The amount of soil ammonium was lower in the SNOW− plot than in the other plots at the end of July, however, once production started in August, the amount of soil ammonium in the three plots was comparable. Extremely low soil temperatures in winter and freeze–thaw cycles in spring and dry soil condition in spring and early summer at the SNOW− plot may have influenced the phenology and production of soil inorganic nitrogen.