bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationships between calciemia and calciuria and EEG and HRV parameters in patients with chronic pyelonephritis
Authors: Gozhenko Anatoliy , Kushneruk Anatoliy , Zukow Walery , Popovych Igor 
Published: January 2022

Background. This article launches a new project "Relationships between parameters of electrolytes exchange and EEG&HRV in people without kidney disease and patients with chronic pyelonephritis". Calcium was chosen as the first swallow. Material and methods. The object of observation were 48 males and 15 females 24-76 years old, who came to the spa Truskavets’ (Ukraine) for the treatment of chronic pyelonephritis in remission. We recorded simultaneosly EEG (“NeuroCom Standard”) and electrocardiogram ("CardioLab+HRV") in II lead to assess the parameters of HRV. Calcium and creatinine concentration was determined in blood plasma and daily urine. Results. The observed sample is characterized by moderate and mild expressed urinary syndrome, ie represents the urological contingent of the Truskavets’ spa. It was stated normal or moderately reduced plasma calcium levels in combination with a very wide range of calcium urinary excretion. A very strong canonical correlation was found between calciumemia and EEG/HRV parameters (r=0,910). The correlation with the parameters of the beta rhythm of the EEG and VLF/ULF components of the HRV is positive, while with the parameters of the alpha rhythm of the EEG is negative. The canonical correlation between calciumuria and EEG/HRV parameters is moderate (r=0,571). There was a positive correlation with other parameters of the beta rhythm of the EEG and a negative correlation with the parameters of the delta rhythm of the EEG and LF/VLF components of HRV. Conclusion. Parameters of calcium exchange and EEG/HRV are closely related, however the question of the causal nature of correlations remains open.
Quality of life of women after mastectomy
Authors: Konieczny Magdalena 
Published: January 2022

Streszczenie
Wprowadzenie. Wystąpienie choroby nowotworowej piersi u kobiety jest kryzysowym wydarzeniem, które wiąże się z koniecznością wdrożenia długotrwałego i obciążającego leczenia. Jakość życia kobiet będących w takiej sytuacji ulega zmianie. Z tego względu bardzo ważna jest ocena kondycji psychicznej, stanu emocjonalnego kobiet oraz stopnia zaakceptowania przez nie nowej sytuacji, a także rozpoznanie oczekiwań i potrzeb pacjentek z rakiem piersi.
Celem pracy była ocena jakości życia kobiet z rozpoznanym rakiem piersi, u których przeprowadzono zabieg mastektomii.
Materiał i metody. Badania przeprowadzono w Podkarpackim Ośrodku Onkolo­gicz­nym w Brzozowie wśród 231 kobiet z rakiem piersi, u których zastosowano leczenie chirurgiczne (mastektomia). Badania przeprowadzono za pomocą sondażu diagnostycznego przy wykorzystaniu autorskiego kwestionariusza ankiety składającego się z 39 pytań. Na przeprowadzanie badań uzyskano zgodę Dyrektora Szpitala oraz Komisji Bioetycznej.
Wyniki. Stan emocjonalny badanych został oceniony jako zły (26,9%) lub raczej zły (21,3%), a jedna trzecia respondentek odczuwała smutek i apatię (bardzo często – 26,9%; codziennie-6,8%). Kobiety najczęściej obawiały się przerzutów nowotworu (47,2%), nawrotu choroby (33,3%) oraz wystąpienia bólu (29,0%). Jako ograniczenia życia codziennego wynikające z choroby kobiety w większości uznawały zakłócenia w życiu rodzinnym i towarzyskim (38,3%) oraz zmniejszenie efektywności pracy (30,6%).
Wnioski. Kobiety posiadały obniżoną jakość życia, w szczególności w sferze emocjonalnej, życia rodzinnego i zawodowego. Respondentki z rakiem piersi oczekują większego wsparcia ze strony lekarza, co może stanowić podstawę do wprowadzenia zmian w kształceniu studentów medycyny i prowadzeniu szkolenia podyplomowego w tym zakresie.
Słowa kluczowe: rak piersi, jakość życia, mastektomia, życie rodzinne i zawodowe
Designing Entry Strategies for Subscription Platforms
Authors: Gal-Or Esther , Shi Qiaoni 
Published: January 2022

We consider a subscription platform that offers services to variety-seeking consumers who incorporate transportation costs in their decision of how many and which vendor services to consume. ClassPass in fitness and MoviePass in entertainment are examples of such platforms. We find that for the platform to be successful, it should enter markets where consumers’ added benefit from patronizing more than one vendor is relatively high, thus strengthening the position of the platform in negotiations with the vendors. As well, managers should consider entering markets where competition between the vendors is relatively weak and in particular, where vendors benefit from local monopoly positions because of high transportation costs incurred by consumers. When entering such markets, offering the subscription contract is likely to attract new customers who are not active when the platform does not exist. Moreover, appropriate crafting of the agreement with the vendors in this case allows the parties to fully extract the surplus derived by platform customers. Last, the platform’s managers should be cognizant of the need to identify tools that facilitate alleviated price competition with vendors. Negotiating over an appropriate transfer fee per customer to pay the vendor or imposing restrictions on the level of service that their customers can use may be such tools. Offering customers lower-quality services when using the vendor in comparison with the quality they could obtain by buying directly from him may not be a successful tool to alleviate price competition. This paper was accepted by Duncan Simester, marketing.
Immunogenicity and safety of adenovirus-based vector vaccines for COVID-19: a systematic review and meta-analysis
Authors: Kalaij Ayers Gilberth Ivano , Dirjayanto Valerie Josephine , Yusuf Syarif Maulana , Nelwan Erni Juwita 
Published: January 2022

BACKGROUND Despite various research on vaccine development, severe acute respiratory syndrome coronavirus 2 infection continues to spread. Thus, developing a more effective vaccine for production and clinical efficacy is still in high demand. This review aimed to assess the immunogenicity and safety of adenovirus-based vector vaccine (Ad-vaccines) including Ad5-vectored, ChAdOx1 nCoV-19, rAd26-S or rAd5-S, and Ad26.COV2.S as the promising solutions for COVID-19.
METHODS We conducted a systematic review and meta analysis of clinical trials based on the preferred reporting items for systematic reviews and meta-analyses guidelines through PubMed, Scopus, Cochrane, and EBSCOhost until August 17, 2021. We implemented inclusion and exclusion criteria and assessed the studies using OHAT risk of bias rating tool for human and animal studies. Pooled estimates of odds ratio (OR) were analyzed using fixed-effect model.
RESULTS This systematic review yielded 12 clinical studies with a total of 75,105 subjects. Although the studies were heterogeneous, this meta-analysis showed that Ad-vaccine significantly increased protection and immune response against COVID-19 with a pooled efficacy of 84.68% compared to placebo (p<0.00001). Forest plot also indicated that Ad-vaccine conferred protection against moderate to severe COVID-19 with a pooled OR of 0.26 (p<0.00001). Ad-vaccine had also shown a good safety profile with local site pain and fever as the most common side effects.
CONCLUSIONS Ad-vaccine had shown a good immunogenicity for COVID-19 with a good pooled efficacy and was proven safe for COVID-19 patients.
Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment Monitoring System data
Authors: Richards Nicole K. , Morley Christopher P. , Wojtowycz Martha A. , Bevec Erin , Levandowski Brooke A. 
Published: January 2022

Background
Postpartum contraception prevents unintended pregnancies and short interpregnancy intervals. The Pregnancy Risk Assessment Monitoring System (PRAMS) collects population-based data on postpartum contraception nonuse and reasons for not using postpartum contraception. In addition to quantitative questions, PRAMS collects open-text responses that are typically left unused by secondary quantitative analyses. However, abundant preexisting open-text data can serve as a resource for improving quantitative measurement accuracy and qualitatively uncovering unexpected responses. We used PRAMS survey questions to explore unprompted reasons for not using postpartum contraception and offer insight into the validity of categorical responses.

Methods and findings
We used 31,208 categorical 2012 PRAMS survey responses from postpartum women in the US to calculate original prevalences of postpartum contraception use and nonuse and reasons for contraception nonuse. A content analysis of open-text responses systematically recoded data to mitigate survey bias and ensure consistency, resulting in adjusted prevalence calculations and identification of other nonuse themes. Recoded contraception nonuse slightly differed from original reports (21.5% versus 19.4%). Both calculations showed that many respondents reporting nonuse may be at a low risk for pregnancy due to factors like tubal ligation or abstinence. Most frequent nonuse reasons were not wanting to use birth control (27.1%) and side effect concerns (25.0%). Other open-text responses showed common themes of infertility, and breastfeeding as contraception. Comparing quantitative and qualitative responses revealed contradicting information, suggesting respondent misinterpretation and confusion surrounding the term “pregnancy prevention.” Though this analysis may be limited by manual coding error and researcher biases, we avoided coding exhaustion via 1-hour coding periods and validated reliability through intercoder kappa scores.

Conclusions
In this study, we observed that respondents reporting contraception nonuse often described other methods of pregnancy prevention and contraception barriers that were not included in categorical response options. Open-text responses shed light on a more comprehensive list of pregnancy prevention methods and nonuse options. Our findings contribute to survey questions that can lead to more accurate depiction of postpartum contraceptive behavior. Additionally, future use of these qualitative methods may be used to improve other health behavior survey development and resulting data.
Impact of procedural variability and study design quality on the efficacy of cell-based therapies for heart failure - a meta-analysis
Authors: Xu Zhiyi , Neuber Sebastian , Nazari-Shafti Timo , Liu Zihou , Dong Fengquan , Stamm Christof 
Published: January 2022

Background
Cell-based therapy has long been considered a promising strategy for the treatment of heart failure (HF). However, its effectiveness in the clinical setting is now doubted. Because previous meta-analyses provided conflicting results, we sought to review all available data focusing on cell type and trial design.

Methods and findings
The electronic databases PubMed, Cochrane library, ClinicalTrials.gov, and EudraCT were searched for randomized controlled trials (RCTs) utilizing cell therapy for HF patients from January 1, 2000 to December 31, 2020. Forty-three RCTs with 2855 participants were identified. The quality of the reported study design was assessed by evaluating the risk-of-bias (ROB). Primary outcomes were defined as mortality rate and left ventricular ejection fraction (LVEF) change from baseline. Secondary outcomes included both heart function data and clinical symptoms/events. Between-study heterogeneity was assessed using the I2 index. Subgroup analysis was performed based on HF type, cell source, cell origin, cell type, cell processing, type of surgical intervention, cell delivery routes, cell dose, and follow-up duration. Only 10 of the 43 studies had a low ROB for all method- and outcome parameters. A higher ROB was associated with a greater increase in LVEF. Overall, there was no impact on mortality for up to 12 months follow-up, and a clinically irrelevant average LVEF increase by LVEF (2.4%, 95% CI = 0.75−4.05, p = 0.004). Freshly isolated, primary cells tended to produce better outcomes than cultured cell products, but there was no clear impact of the cell source tissue, bone marrow cell phenotype or cell chricdose (raw or normalized for CD34+ cells). A meaningful increase in LVEF was only observed when cell therapy was combined with myocardial revascularization.

Conclusions
The published results suggest a small increase in LVEF following cell therapy for heart failure, but publication bias and methodologic shortcomings need to be taken into account. Given that cardiac cell therapy has now been pursued for 20 years without real progress, further efforts should not be made.

Study registry number
This meta-analysis is registered at the international prospective register of systematic reviews, number CRD42019118872.
A 12-hospital prospective evaluation of a clinical decision support prognostic algorithm based on logistic regression as a form of machine learning to facilitate decision making for patients with suspected COVID-19
Authors: Lupei Monica I. , Li Danni , Ingraham Nicholas E. , Baum Karyn D. , Benson Bradley , Puskarich Michael , Milbrandt David , Melton Genevieve B. , Scheppmann Daren , Usher Michael G. , Tignanelli Christopher J. 
Published: January 2022

Objective
To prospectively evaluate a logistic regression-based machine learning (ML) prognostic algorithm implemented in real-time as a clinical decision support (CDS) system for symptomatic persons under investigation (PUI) for Coronavirus disease 2019 (COVID-19) in the emergency department (ED).

Methods
We developed in a 12-hospital system a model using training and validation followed by a real-time assessment. The LASSO guided feature selection included demographics, comorbidities, home medications, vital signs. We constructed a logistic regression-based ML algorithm to predict “severe” COVID-19, defined as patients requiring intensive care unit (ICU) admission, invasive mechanical ventilation, or died in or out-of-hospital. Training data included 1,469 adult patients who tested positive for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) within 14 days of acute care. We performed: 1) temporal validation in 414 SARS-CoV-2 positive patients, 2) validation in a PUI set of 13,271 patients with symptomatic SARS-CoV-2 test during an acute care visit, and 3) real-time validation in 2,174 ED patients with PUI test or positive SARS-CoV-2 result. Subgroup analysis was conducted across race and gender to ensure equity in performance.

Results
The algorithm performed well on pre-implementation validations for predicting COVID-19 severity: 1) the temporal validation had an area under the receiver operating characteristic (AUROC) of 0.87 (95%-CI: 0.83, 0.91); 2) validation in the PUI population had an AUROC of 0.82 (95%-CI: 0.81, 0.83). The ED CDS system performed well in real-time with an AUROC of 0.85 (95%-CI, 0.83, 0.87). Zero patients in the lowest quintile developed “severe” COVID-19. Patients in the highest quintile developed “severe” COVID-19 in 33.2% of cases. The models performed without significant differences between genders and among race/ethnicities (all p-values > 0.05).

Conclusion
A logistic regression model-based ML-enabled CDS can be developed, validated, and implemented with high performance across multiple hospitals while being equitable and maintaining performance in real-time validation.
Clotting events among hospitalized patients infected with COVID-19 in a large multisite cohort in the United States
Authors: Nemetski Sondra Maureen , Ip Andrew , Josephs Joshua , Hellmann Mira 
Published: January 2022

Introduction
COVID-19 infection has been hypothesized to precipitate venous and arterial clotting events more frequently than other illnesses.

Materials and methods
We demonstrate this increased risk of blood clots by comparing rates of venous and arterial clotting events in 4400 hospitalized COVID-19 patients in a large multisite clinical network in the United States examined from April through June of 2020, to patients hospitalized for non-COVID illness and influenza during the same time period and in 2019.

Results
We demonstrate that COVID-19 increases the risk of venous thrombosis by two-fold compared to the general inpatient population and compared to people with influenza infection. Arterial and venous thrombosis were both common occurrences among patients with COVID-19 infection. Risk factors for thrombosis included male gender, older age, and diabetes. Patients with venous or arterial thrombosis had high rates of admission to the ICU, re-admission to the hospital, and death.

Conclusion
Given the ongoing scientific discussion about the impact of clotting on COVID-19 disease progression, these results highlight the need to further elucidate the role of anticoagulation in COVID-19 patients, particularly outside the intensive care unit setting. Additionally, concerns regarding clotting and COVID-19 vaccines highlight the importance of addressing the alarmingly high rate of clotting events during actual COVID-19 infection when weighing the risks and benefits of vaccination.
A malignus daganatok és az ischaemiás stroke kapcsolata.
Authors: Hajnóczky Nóra , Bereczki Dániel 
Published: January 2022

Összefoglaló. A malignus daganat és a stroke egy-egy betegnél
gyakran kombinálódik, sokszor egyidejűleg diagnosztizálják, vagy rövid idő telik
el a két kórkép felismerése között. Az együttes megjelenés hátterében elsősorban
a hasonló tradicionális rizikófaktorok állhatnak: az idősebb életkor, a magas
vérnyomás, a hyperlipidaemia, a cukorbetegség, az elhízás és a dohányzás. Az
átfedő kockázati tényezőkön túl a daganat által okozott hiperkoaguláció artériás
és vénás thrombosis kialakulásához vezethet. A hiperkoaguláció hátterének
kutatása főként a thrombocyták és a szöveti faktor aktiválására és a heparanáz
fokozott expressziójára fókuszált, és felvetődött a neutrophil extracelluláris
csapdák szerepe is. A daganat által okozott hiperkoagulációhoz társuló cryptogen
(tradicionális rizikófaktor nélküli) stroke-ban sokszor található magasabb
D-dimer-szint, és a CT/MRI-képeken gyakrabban látszanak multifokális, több ér
ellátási területében megjelenő ischaemiás laesiók, melyek ritkábban fordulnak
elő a tradicionális rizikófaktorokkal magyarázható stroke-okban. Az előzőkön
kívül a daganatok kezelésére alkalmazott kemoterápia és sugárterápia is emeli a
stroke kockázatát. A malignus daganatokhoz társuló stroke-ok megelőzése
érdekében további vizsgálatok szükségesek a daganat által okozott
hiperkoaguláció és vascularis változások pontosabb megértéséhez. Orv Hetil.
2022; 163(1): 3–11.
Summary. Cancer and stroke have long been studied individually, but
their detrimental forces together have also been a strong point of focus. The
occurrence of both cancer and stroke in a patient is often a reflection of their
similar risk factors (hypertension, hyperlipidemia, diabetes, obesity, and
smoking), however, a subgroup of the cancer stroke population is believed to
occur due to cancer-associated hypercoagulability. A deeper look into the
cancer-associated hypercoagulable environment has indicated that thrombosis may
be explained by cancer’s role in several factors, including activation of
platelets and tissue factor, elevated expression of heparanase and influence on
neutrophilic extracellular traps. When a cryptogenic stroke (stroke lacking the
aforementioned risk factors) occurs due to the cancer-induced hypercoagulation
state, patient serum D-dimer levels have been found elevated, and CT/MRI images
of the brain have shown multivascular infarctions compared to stroke patients
with traditional risk factors. Additionally, cancer treatment – chemotherapy and
radiation – have also been found to increase the occurrence of cerebral vascular
thrombosis. Further investigations are required to better understand
cancer-associated vascular pathophysiologic changes and how to discern their
unique strokes compared to strokes from other etiologies. With these insights,
the prevalence of strokes in the cancer population could be decreased. Orv
Hetil. 2022; 163(1): 3–11.
A ROBUST ITERATIVE APPROACH FOR SOLVING NONLINEAR VOLTERRA DELAY INTEGRO–DIFFERENTIAL EQUATIONS
Authors: Ofem Austine Efut , Udofia Unwana Effiong , Igbokwe Donatus Ikechi 
Published: January 2022

This paper presents a new iterative algorithm for approximating the fixed points of multivalued generalized \(\alpha\)–nonexpansive mappings. We study the stability result of our new iterative algorithm for a larger concept of stability known as weak \(w^2\)–stability. Weak and strong convergence results of the proposed iterative algorithm are also established. Furthermore, we show numerically that our new iterative algorithm outperforms several known iterative algorithms for multivalued generalized \(\alpha\)–nonexpansive mappings. Again, as an application, we use our proposed iterative algorithm to find the solution of nonlinear Volterra delay integro-differential equations. Finally, we provide an illustrative example to validate the mild conditions used in the result of the application part of this study. Our results improve, generalize and unify several results in the existing literature.
Time-Lapse Monitoring of Daily Velocity Changes in Binchuan, Southwestern China, Using Large-Volume Air-Gun Source Array Data
Authors: Luan Yi , Yang Hongfeng , Wang Baoshan , Yang Wei , Wang Weitao , Yang Jun , Li Xiaobin 
Published: January 2022

Abstract
Temporal changes of seismic velocities in the Earth’s crust can be induced by stress perturbations or material damage from reasons such as strong ground motion, volcanic activities, and atmospheric effects. However, monitoring the temporal changes remains challenging, because most of them generally exist in small travel-time differences of seismic data. Here, we present an excellent case of daily variations of the subsurface structure detected using a large-volume air-gun source array of one-month experiment in Binchuan, Yunnan, southwestern China. The seismic data were recorded by 12 stations within ∼10 km away from the source and used to detect velocity change in the crust using the deconvolution method and sliding window cross-correlation method, which can eliminate the “intercept” error when cutting the air-gun signals and get the real subsurface variations. Furthermore, the multichannel singular spectral analysis method is used to separate the daily change (∼1 cycle per day) from the “long-period” change (&lt;1 cycle per day) or noise. The result suggests that the daily velocity changes at the two nearest stations, 53277 (offset ∼700 m) and 53278 (offset ∼2.3 km), are well correlated with air temperature variation with a time lag of 5.0 ± 1.5 hr, which reflects that the velocity variations at the subsurface are likely attributed to thermoelastic strain. In contrast, both daily and long-period velocity changes at distant stations correlate better with the varying air pressure than the temperature, indicating that the velocity variations at deeper depth are dominated by the elastic loading of air pressure. Our results demonstrate that the air-gun source is a powerful tool to detect the velocity variation of the shallow crust media.