bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence, predictors and pregnancy outcomes of unprescribed and herbal medicine use in Ibadan, Nigeria
Authors: Adeoye Ikeola , Etuk Victoria 
Published: January 2023

AbstractBackgroundUnprescribed and herbal medicines use among pregnant women is a public health concern in low and middle-income countries because of the potential teratogenic effects, insufficient safety and weak drug regulatory systems. Unprescribed and herbal medicines are common among pregnant women in Nigeria, and only a few researchers have documented the prevalence and the risk factors. However, evidence on the associated pregnancy outcomes is still lacking. We assessed the prevalence, predictors and pregnancy outcomes of unprescribed and herbal medicines use among pregnant women in Ibadan, Nigeria.MethodsThis study was a component of the Ibadan Pregnancy Cohort Study, a prospective cohort study, among pregnant women in Ibadan, Nigeria, who were enrolled at ≤ 20 weeks gestation at their first antenatal visit and followed up till delivery. In all, 571 women participated in the maternal drug use assessment during the third trimester using a pretested interviewer-administered questionnaire. The primary outcomes were unprescribed and herbal medicines use and pregnancy outcomes, secondary outcomes, were abstracted from medical records. The predictors assessed included sociodemographic, obstetric, antenatal care utilization, and lifestyle characteristics. Bi-variate logistic and Poisson regression analyses were used to evaluate the predictors and relative risk for the pregnancy outcomes of unprescribed and herbal medicines at 5% significance.ResultsThe prevalence of unprescribed and herbal medicine use was 31.9% and 21.7%, respectively. On bivariate analysis, the significant predictors of unprescribed medicine (which were protective) were tertiary education, increasing income, adequate antenatal care (≥ 4 visits), and at least two doses of sulfadoxine-pyrimethamine. However, high parity and having an antenatal admission increased the risk. However, after adjusting for confounders, the significant factors associated with unprescribed medicines were; tertiary education (AOR) = 0.23; 95% CI: (0.06 – 0.95); p-value: 0.043] and obtaining at least two doses of sulfadoxine-pyrimethamine [AOR = 0.33; 95% CI: (0.29 – 3.60); p-value: 0.048]. For herbal medicines, the predictors were similar to unprescribed drugs. However, after adjusting for confounders, none was significant for herbal medicines. Unprescribed and herbal medicines were not significantly associated with pregnancy outcomes.ConclusionsUnprescribed and herbal medicines use were common among pregnant women in Ibadan, Nigeria, particularly among women with low economic status and those with poor utilization of antenatal care services. These significant predictors can be targeted for public health intervention. Specifically, health education that discourages the use of unprescribed and herbal medications to pregnant women during antenatal care.
Risk perception of sun exposure and knowledge of vitamin D among the healthcare providers in a high-risk country: a cross-sectional study
Authors: Siddiqee Mahbubul H. , Bhattacharjee Badhan , Hasan Mahbub , Shojon Mohammad , Hassan Mehedi , Rouf Rashawan Raziur , Siddiqi Umme Raihan , Rabbi Fazlay , Siddiqi Umme Ruman 
Published: January 2023

Abstract
Background
High levels of vitamin D deficiency are commonly reported even in regions with abundant sunshine. This necessitates a comprehensive understanding of the determinants that influence sun exposure practices. As the primary source of health-related knowledge for the general public, the attitude of the healthcare professionals towards sunlight and their awareness related to vitamin D deficiency can be critical in this regard.

Methods
A cross-sectional survey was conducted among 2,242 physicians, intern doctors, and senior medical students in Bangladesh from October 2019 to February 2020. A pre-tested structured questionnaire (containing twelve close-ended questions) was used. The perceptions of health risks due to sun exposure, and basic knowledge of the physiological and epidemiological aspects of vitamin D deficiency were tested.

Results
An overall negative attitude towards sunlight in the context of Bangladesh was highlighted – 68% participants thought regular sun exposure would be harmful or very harmful; 26% thought the level of UV radiation was very high; 44% recommended using sunscreen always; skin burns, heat stroke, and cancer were selected as potential consequences of regular sun exposure by 45%, 21%, and 30% respondents respectively. Overall knowledge regarding vitamin D deficiency appeared to be biased towards bone health; other symptoms and associated illnesses not having obvious link to Calcium-metabolism were identified much lesser frequently. Furthermore, ‘sunrise to 10 am’ was identified as the best time to get vitamin D by 69% participants; 60% believed < 30 min of weekly sun exposure would be sufficient for the Bangladeshi population; an only 33% identified that prevalence of vitamin D insufficiency in Bangladesh would be 50% or more. Taking vitamin D-rich food was suggested by more respondents over regular sun exposure (43% vs. 33%) as more effective remedial strategy to curb vitamin D deficiency in Bangladesh.

Conclusion
In addition to highlighting some crucial knowledge gaps, results from this study provides a comprehensive baseline dataset for knowledge and attitude regarding the public health aspects of vitamin D deficiency among the healthcare providers in Bangladesh, which would be generalizable to other countries with similar socio-demographic context, and will facilitate taking more effective policies worldwide.
Barriers and facilitators in the referral pathways to low vision services from the perspective of patients and professionals: a qualitative study
Authors: Stolwijk M. L. , van Nispen R. M. A. , van der Ham A. J. , Veenman E. , van Rens G. H. M. B. 
Published: January 2023

Abstract
Background
Underutilization of and lack of access to low vision services (LVS) has been reported internationally. The purpose of this study was to identify barriers and facilitators in LVS referral procedures and service delivery from both the perspective of people with visual impairment and professionals from different eye care providers in the Netherlands.

Methods
A qualitative study in the Netherlands was conducted. Barriers and facilitators were explored through semi structured interviews with older adults with macular degeneration, diabetic retinopathy and/or glaucoma (n = 14), and healthcare professionals including ophthalmologists and LVS professionals (n = 16). Framework analysis was used for analyzing the interviews with Atlas.ti software.

Results
According to both patients and professionals, facilitators in LVS access and utilization are having motivation, self-advocacy, high participation needs and social support, as well as being negatively impacted by the impairment. Both samples found having good communication skills and informing patients about LVS as a healthcare provider to facilitate access. A long patient-provider relationship and the Dutch healthcare system were also mentioned as facilitators. Professionals additionally found long disease duration and the presence of low vision optometric services in the ophthalmic practice to promote access.
Barriers that were reported by patients and professionals are lack of motivation, self-advocacy and acceptance of the impairment in patients. In addition, having low participation needs as a patient, lack of information provision by providers and time constraints in the ophthalmic practice were mentioned as barriers. Professionals also reported lack of social support, short disease duration of patients, a short patient-provider relationship and lack of coordination of care in the ophthalmic practice to hinder access.

Conclusions
Findings suggest that providers’ lack of information provision about LVS, especially to patients who are less assertive, hamper referral to LVS. Providers should have attention for patients’ LVS needs and actively inform them and their social network about LVS to facilitate access. Educating and training providers about how and when to address LVS may help to reduce barriers in the referral pathways. In addition, referral procedures may benefit from tools that make providers more aware of LVS.
Patients' attitudes towards switching to national volume-based procurement (NVBP) Drugs—a qualitative investigation in Wuhan, China
Authors: Tao Jinyi , Li Shihong , Xu Qiling , Gong Shiwei , Zeng Fang 
Published: January 2023

Abstract
Background
The implementation of the NVBP policy has generated considerable reductions in drug procurement prices and an increase in the market share of the NVBP drugs.This study aimed to investigate patients' attitudes towards switching to drugs of national volume-based procurement (NVBP) and identify their underlying influencing factors in Wuhan, China.

Methods
A total of 21 eligible patients from the Wuhan Union Hospital who were switched to NVBP drugs between January 2022 and May 2022 were included in our study. Semi-structured face-to-face interviews were conducted to collect interview information and the interview data was analyzed by the Colaizzi seven-step method.

Results
Twenty-one semi-structured face-to-face interviews were conducted. The duration of each interview was 25–35 min and three themes related to patients' attitudes and their influencing factors were extracted, including (1) Patients' perception of the NVBP drugs; (2) Family and social influence to patients; (3) Medication habits of patients. This study found: 1) 71.4% patients (15/21) showed a positive attitude towards switching to NVBP medicines; 2)80.9% patients (17/21) have felt a significant reduction in their medication cost after the implementation of the NVBP policy; 3)Advices from healthcare professionals and health insurance reimbursement policies showed great impacts on patients' attitude towards switching to NVBP drugs; 4)Attitudes towards switching to NVBP drugs varied considerably among patients with different severities of disease.

Conclusion
The implementation of the NVBP policy has significantly reduced the cost of healthcare for patients and has been supported by71.4% (15 of 21) patients. However, some issues have been identified in the implementation of the policy in this study. Health professionals in general need to contribute more efforts to improve patients' preconceptions about the NVBP drugs and boost their confidence in the NVBP drugs.
An investigative study on the zoonotic potential of Helicobacter pylori
Authors: Shaaban Sabah I. , Talat Dalia , Khatab Shymaa A. , Nossair Mohamed A. , Ayoub Mousa A. , Ewida Rania M. , Diab Mohamed Said 
Published: January 2023

Abstract
Background
Helicobacter pylori is one of the most common bacterial infections and is widespread globally. It causes a variety of gastrointestinal disorders, though a great proportion of infections are asymptomatic. A total of 143 fresh stool samples were collected from apparently healthy farm and pet animals (43 cattle, 50 buffaloes, 50 sheep, 50 dogs, and 50 cats), in addition to 768 human stool samples. The samples were examined using stool antigen and rapid antibody tests, and further confirmation of glmM “human antigen-positive samples and animal milk samples” was conducted by polymerase chain reaction (PCR).

Results
The prevalence rates of H. pylori infection in animals were 22.2% and 16% in antibody and stool antigen tests, respectively. The detection rates were 28%, 24%, 12%, 10%, and 4.7% in cats, dogs, buffaloes, sheep, and cattle, respectively. On the other hand, the prevalence rate of H. pylori infection in human stool samples was 74.8%, and a statistically significant association was observed between prevalence and several factors, such as sex, age, and locality. PCR was performed to detect the glmM gene of H. pylori, and this gene was found in 21 of 27 human antigen-positive samples and 5 of 13 animal milk samples.

Conclusions
H. pylori was detected in both human and animal samples. Furthermore, glmM was found in milk and human samples. Our findings suggest that pet and farm animals could transmit H. pylori infection to humans.
Gene expression profiles in mesenchymal stromal cells from bone marrow, adipose tissue and lung tissue of COPD patients and controls
Authors: Kruk Dennis , Yeung Anna C. Y. , Faiz Alen , ten Hacken Nick H. T. , Timens Wim , van Kuppevelt Toin H. , Daamen Willeke , Hof Danique , Harmsen Martin C. , Rojas Mauricio , Heijink Irene H. 
Published: January 2023

Abstract
Background
Chronic obstructive pulmonary disease (COPD) is characterized by irreversible lung tissue damage. Novel regenerative strategies are urgently awaited. Cultured mesenchymal stem/stromal cells (MSCs) have shown promising results in experimental models of COPD, but differences between sources may impact on their potential use in therapeutic strategies in patients.

Aim
To assess the transcriptome of lung-derived MSCs (LMSCs), bone marrow-derived MSCs (BM-MSC) and adipose-derived MSCs (AD-MSCs) from COPD patients and non-COPD controls.

Methods
We studied differences in gene expression profiles between the MSC-subtypes, as well as between COPD and control using RNA sequencing (RNA-seq).

Results
We show that besides heterogeneity between donors, MSCs from different sources have strongly divergent gene signatures. The growth factors FGF10 and HGF were predominantly expressed in LMSCs. MSCs from all sources displayed altered expression profiles in COPD, with most pronounced significantly up- and downregulated genes in MSCs from adipose tissue. Pathway analysis revealed that the most differentially expressed genes in COPD-derived AD-MSCs are involved in extracellular matrix (ECM) binding and expression. In LMSCs, the gene that differed most strongly between COPD and control was CSGALNACT1, an ECM modulating gene.

Conclusion
Autologous MSCs from COPD patients display abnormalities with respect to their transcriptome, which were surprisingly most profound in MSCs from extrapulmonary sources. LMSCs may be optimally equipped for lung tissue repair because of the expression of specific growth factor genes.
Detection of early-stage lung cancer in sputum using automated flow cytometry and machine learning
Authors: Lemieux Madeleine E. , Reveles Xavier T. , Rebeles Jennifer , Bederka Lydia H. , Araujo Patricia R. , Sanchez Jamila R. , Grayson Marcia , Lai Shao-Chiang , DePalo Louis R. , Habib Sheila A. , Hill David G. , Lopez Kathleen , Patriquin Lara , Sussman Robert , Joyce Roby P. , Rebel Vivienne I. 
Published: January 2023

Abstract
Background
Low-dose spiral computed tomography (LDCT) may not lead to a clear treatment path when small to intermediate-sized lung nodules are identified. We have combined flow cytometry and machine learning to develop a sputum-based test (CyPath Lung) that can assist physicians in decision-making in such cases.

Methods
Single cell suspensions prepared from induced sputum samples collected over three consecutive days were labeled with a viability dye to exclude dead cells, antibodies to distinguish cell types, and a porphyrin to label cancer-associated cells. The labeled cell suspension was run on a flow cytometer and the data collected. An analysis pipeline combining automated flow cytometry data processing with machine learning was developed to distinguish cancer from non-cancer samples from 150 patients at high risk of whom 28 had lung cancer. Flow data and patient features were evaluated to identify predictors of lung cancer. Random training and test sets were chosen to evaluate predictive variables iteratively until a robust model was identified. The final model was tested on a second, independent group of 32 samples, including six samples from patients diagnosed with lung cancer.

Results
Automated analysis combined with machine learning resulted in a predictive model that achieved an area under the ROC curve (AUC) of 0.89 (95% CI 0.83–0.89). The sensitivity and specificity were 82% and 88%, respectively, and the negative and positive predictive values 96% and 61%, respectively. Importantly, the test was 92% sensitive and 87% specific in cases when nodules were < 20 mm (AUC of 0.94; 95% CI 0.89–0.99). Testing of the model on an independent second set of samples showed an AUC of 0.85 (95% CI 0.71–0.98) with an 83% sensitivity, 77% specificity, 95% negative predictive value and 45% positive predictive value. The model is robust to differences in sample processing and disease state.

Conclusion
CyPath Lung correctly classifies samples as cancer or non-cancer with high accuracy, including from participants at different disease stages and with nodules < 20 mm in diameter. This test is intended for use after lung cancer screening to improve early-stage lung cancer diagnosis.
Trial registration ClinicalTrials.gov ID: NCT03457415; March 7, 2018
Unmanned aerial vehicles for surveillance and control of vectors of malaria and other vector-borne diseases
Authors: Mechan Frank , Bartonicek Zikmund , Malone David , Lees Rosemary Susan 
Published: January 2023

AbstractThe use of Unmanned Aerial Vehicles (UAVs) has expanded rapidly in ecological conservation and agriculture, with a growing literature describing their potential applications in global health efforts including vector control. Vector-borne diseases carry severe public health and economic impacts to over half of the global population yet conventional approaches to the surveillance and treatment of vector habitats is typically laborious and slow. The high mobility of UAVs allows them to reach remote areas that might otherwise be inaccessible to ground-based teams. Given the rapidly expanding examples of these tools in vector control programmes, there is a need to establish the current knowledge base of applications for UAVs in this context and assess the strengths and challenges compared to conventional methodologies. This review aims to summarize the currently available knowledge on the capabilities of UAVs in both malaria control and in vector control more broadly in cases where the technology could be readily adapted to malaria vectors. This review will cover the current use of UAVs in vector habitat surveillance and deployment of control payloads, in comparison with their existing conventional approaches. Finally, this review will highlight the logistical and regulatory challenges in scaling up the use of UAVs in malaria control programmes and highlight potential future developments.
Graphical Abstract
Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning
Authors: Lin Zefang , Yang Weihong , Zhang Wenqiang , Jiang Chao , Chu Jing , Yang Jing , Yuan Xiaoxu 
Published: January 2023

Abstract
Objectives
This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from macroscopic cross-section image.

Methods
A total of 467 pathology-confirmed patients who received radical nephrectomy or partial nephrectomy were retrospectively enrolled. The experiment of distinguishing malignant and benign renal tumor are conducted followed by performing the multi-subtypes classification models for recognizing four subtypes of benign tumor and four subtypes of malignant tumors, respectively. The classification models used the same backbone networks which are based on the convolutional neural network (CNN), including EfficientNet-B4, ResNet-18, and VGG-16. The performance of the classification models was evaluated by area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. Besides, we performed the quantitative comparison among these CNN models.

Results
For the model to differentiate the malignant tumor from the benign tumor, three CNN models all obtained relatively satisfactory performance and the highest AUC was achieved by the ResNet-18 model (AUC = 0.9226). There is not statistically significance between EfficientNet-B4 and ResNet-18 architectures and both of them are significantly statistically better than the VGG-16 model. The micro-averaged AUC, macro-averaged sensitivity, macro-averaged specificity, and micro-averaged accuracy for the VGG-16 model to distinguish the malignant tumor subtypes achieved 0.9398, 0.5774, 0.8660, and 0.7917, respectively. The performance of the EfficientNet-B4 is not better than that of VGG-16 in terms of micro-averaged AUC except for other metrics. For the models to recognize the benign tumor subtypes, the EfficientNet-B4 ranked the best performance, but had no significantly statistical difference with other two models with respect to micro-averaged AUC.

Conclusions
The classification results were relatively satisfactory, which showed the potential for clinical application when analyzing the renal tumor macroscopic cross-section images. Automatically distinguishing the malignant tumor from benign tumor and identifying the subtypes pathology of renal tumor could make the patient-management process more efficient.
Sex difference in the relationship of the Atherogenic index of plasma with coronary artery lesions in diabetes: a cross-sectional study
Authors: Hu Yi , Wang Xuan , Luo Chaodi , Zheng Tingting , Tian Gang 
Published: January 2023

Abstract
Background
Coronary artery disease (CAD) tends to progress more rapidly in the type 2 diabetes mellitus (T2DM) population and may be associated with dyslipidemia. This study explored the relationship of the atherogenic index of plasma (AIP) to coronary artery lesions in the T2DM population of different sexes.

Methods
The research included 737 individuals who underwent coronary angiography from 2018 to 2019. The included clinical data and coronary angiographic findings were analyzed in the study.

Results
Among the included male patients, those with coronary artery disease had a higher adjusted AIP (aAIP). In correlation analysis, the Gensini score was positively and linearly correlated with the aAIP in male T2DM patients. An aAIP cutoff value of 1.17 was determined from the receiver operating characteristic (ROC) curve of aAIP versus CAD risk in the study population. After dividing the aAIP into two groups by the cutoff value of aAIP, the group with the lower value was used as the control for logistic regression analysis. The results showed that the risk of CAD and multivessel lesions was higher when the aAIP was higher in men with T2DM, and this positive association was not affected by HbA1c, age, or the presence of glucose-lowering therapy. The ROC curve suggested that the aAIP can predict CAD risk in male T2DM patients. However, no relationship was found in the included female patients.

Conclusion
In male T2DM patients, AIP may serve as a reliable marker for coronary artery lesions.