bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of preoperative serum CA72-4 with prognosis in stage I-III colorectal cancer patients and its interaction with preoperative CEA: a multicenter retrospective cohort study
Authors: Yanli Li , Pang Xiaolin , Li Zhao , Chen Yaxue , Liu Lizhu , You Ruimin , Zhang Yin , Liu Mengmei , Yang Guangjun , Li Zhenhui , Pu Hongjiang 
Published: December 2022

Abstract
BACKGROUND AND AIMS: Whether preoperative serum carbohydrate antigen (CA) 72-4 is an independent predictor of outcome and whether has an interaction between CA72-4 and the impact of carcinoembryonic antigen (CEA) on colorectal cancer (CRC) patients' risk of recurrence is still unknown.
PATIENTS AND METHODS: Patients with pathologically confirmed stage I-III colorectal adenocarcinoma who received direct radical resection at 2 hospitals from 2008 to 2017 were collected. According to the levels of CEA and CA72-4 before operation, the patients were divided into 4 groups: Group A with normal CEA and CA72-4 levels preoperatively (CEA≤5.0 ng/mL,CA72-4≤6.9 U/mL, n=952) ;Group B had normal preoperative CEA but high CA72-4 levels (CEA≤5.0 ng/mL,CA72-4>6.9 U/mL, n=217) ；Group C had elevated preoperative CEA but normal CA72-4 (CEA>5.0 ng/mL,≤6.9 U/mL, n=574) ；Group D had both elevated preoperative CEA and CA72-4 (CEA>5.0 ng/mL, CA72-4>6.9 U/mL, n=182). The Kaplan-Meier survival curve and a COX regression model was used to estimate the correlation between preoperative CA72-4 and overall survival (OS) and recurrence-free survival (RFS).
Results: A total of 3,651 patients (52.7%) are included in this study. Median age (IQR) : 60.0 (50.0, 68.0) years; Mean body mass index (BMI) (SD) : 22.718(3.256) kg/m2. Compared with normal CA 72-4 (≤6.9 U/mL, n=3252), patients with increased CA 72-4 (>6.9U/mL, n=399) had higher OS(HR:1.4;95% CI, 1.07-1.83; P = 0.0072). In Cox multivariate analysis, increased preoperative CEA and CA72-4 were associated with shorter RFS(HR:1.69;95% CI, 1.23- 2.32; P = 0.001) and OS (HR, 2.92;95% CI, 2.14-3.98; P< 0.001). However, patients with normal preoperative CEA, no matter if CA72-4 is increased or normal, were not associated with RFS and OS shortening, while patients with high CEA but normal CA72-4 were only associated with OS(HR:1.82;95% CI, 1.42-2.33; P <0.001).
Conclusion: CA72-4 is an independent predictor of outcome for patients with elevated preoperative CEA. The influence of preoperative CA72-4 level on prognosis is different under different CEA stratification. It is necessary to combine CA72-4 with CEA to predict the prognosis of patients.
Fish Species Classification from Underwater Images using Large-Scale Dataset via Deep Learning
Authors: Kumar Siddharth , Anand Abhineet , Shah Mohd Asif 
Published: December 2022

Abstract
Many natural science investigations, including fishery assessment, marine environment assessment, and environmental research, depend on the classification of underwater fish species from apprehended images in habitats. But due to noisy captured images, existing models faced lots of issues during recognition of fish species from the underwater images and to solvu such kind of problem, need to develop a high-performance fish recognition model, although it can be challenging due to the chaotic nature of underwater imagery. In directive to train Deep Neural Network (DNN) in precise manner to develop a Fish Species Classification (FSC) model from noisy large-scale underwater captured images, this research article introduces an inimitable deep learning framework called Optimized DNN. The underwater environment is very fascinating and challenging and many research groups are currently working together to unravel the facts of underwater imaging and mapping. The proposed FSC model is use for fish detection based on the segmentation approach and DNN-based identification in complex underwater environments. To simulate and validate the proposed FSC model, publicly available Fish4Knowledge (Fish Detection) benchmark dataset is used and experimental results show that the FSC model performance is far better in terms of Average Precision (AP = 92.26%), Average Recall (AR = 87.45%), Average F-measure (AF = 89.74%) and Average Accuracy (AA = 93.86%). The composite FSC network model increases the usage of distinctive info and the output of distinctive info for the discovered object.
Evaluation of retinal microvasculature in exotropia with abnormal binocular vision by optical coherence tomography angiography
Authors: Chen Chunwen , Zhu Qin , Ma Chun-Hui , Yao Jing-Yan 
Published: December 2022

Abstract
Background: To explore the retinal microvasculature in large angle concomitant exotropia patients with abnormal binocular vision using quantitative optical coherence tomography angiography (OCTA) analysis.
Methods: OCTA images of 52 healthy and 100 strabismic eyes were analyzed to quantify the retinal thickness (RT), superficial capillary plexus (SCP), deep capillary plexus (DCP), and foveal avascular zone (FAZ). Paired t-tests were performed comparing differences in the two groups, dominant and deviated eyes in exotropia group, respectively.
Results: The mean angle of deviation at the distance was 79.38 [± 25.64] (prism diopters, PD). The temporal SCP in exotropia group was significantly higher than that of control group in deviated eyes (p = 0.020). Nasal vessel density in exotropia group was lower than that of control group in the SCP in deviated eyes (p = 0.037). There were significantly differences in the DCP in deviated eyes between exotropia group and control group (Fovea: p = 0.007; Temporal: p = 0.014; Nasal: p = 0.028; Inferior: p = 0.013). Dominant eyes had significantly greater nasal RT and temporal SCP than deviated eyes (p = 0.023 and p = 0.043).
Conclusions:The study found that OCTA reveals subnormal, superficial, and deep macular capillary density in large angle exotropia patients with abnormal binocularity and may be related to retinal suppression. Changes in macular microvasculature may offer valuable insights in the development of strabismus. Further studies are needed to determine the clinical relevance of this finding.
Trial registration: This trial is registered as ChiCTR2100052577 at www.Chictr.org.cn .
Outcome of adalimumab monotherapy in paediatric non-infectious uveitis
Authors: Al-Julandani Dalila Ali , Bagri Narendra , Tsang Nakita , Clark Sarah , Upadhyay Ashish Datt , Guly Catherine , Ramanan Athimalaipet 
Published: December 2022

Abstract
Background: Adalimumab in combination with other disease-modifying drugs (DMARD) such as methotrexate has a proven efficacy in the management of paediatric non-infectious uveitis. However, many children experience significant intolerance to methotrexate while on this combination, leaving a dilemma for clinicians for choosing the subsequent therapeutic roadmap. Continuation of adalimumab monotherapy might be an alternative feasible option under such settings. This study aims to investigate the efficacy of adalimumab monotherapy in paediatric non-infectious uveitis.
Methods: Children with non-infectious uveitis on adalimumab monotherapy (from August 2015 to June 2022) following intolerance to accompanying methotrexate or mycophenolate mofetil were included in this retrospective study. Data was collected at initiation of adalimumab monotherapy and at three monthly intervals until the last visit. Primary outcome was to evaluate disease control on adalimumab monotherapy as determined by the proportion of patients who had less than a 2-step worsening in uveitis (as per SUN score) and no additional systemic immunosuppression during follow-up. Secondary outcome measures were visual outcome, complications and side-effect profile of adalimumab monotherapy.
Results: Data was collected for 28 patients (56 eyes). The most common uveitis type and course were anterior and chronic uveitis respectively. Juvenile idiopathic arthritis associated uveitis was the most common underlying diagnosis. During the study period 23 (82, 14%) of the study subjects met the primary outcome. On Kaplan-Meier survival analysis 81.25% (95% CI; 60.6-91.7%) children maintained remission at 12 months of on adalimumab monotherapy.
Conclusion: Continuation of adalimumab monotherapy is an effective therapeutic option for the treatment of non-infectious uveitis in children who are intolerant to the combination of adalimumab and methotrexate or mycophenolate.
Thermodynamical framework for effective mitigation of high aerosol loading in the Indo-Gangetic Plain during winter
Authors: Acharja Prodip , Ghude Sachin D. , Sinha Baerbel , Barth Mary , Kulkarni Rachana , Sinha Vinayak , Kumar Rajesh , Ali Kaushar , Govardhan Gaurav , Gultepe Ismail , Rajeevan Madhavan Nair 
Published: December 2022

Abstract
The Indo-Gangetic Plain (IGP) experiences severe air pollution every winter, with ammonium chloride and ammonium nitrate as the major inorganic fractions of fine aerosols. Many past attempts to tackle air pollution in the IGP were inadequate, as they targeted a subset of the primary pollutants in an environment where the majority of the particulate matter burden is secondary in nature. Here, we provide new mechanistic insight into aerosol mitigation by integrating the ISORROPIA-II thermodynamical model with high-resolution simultaneous measurements of precursor gases and aerosols. A mathematical framework is explored to investigate the complex interaction between hydrochloric acid (HCl), nitrogen oxides (NOx), ammonia (NH3), and aerosol liquid water content (ALWC). Aerosol acidity (pH) and ALWC emerge as governing factors that modulate the gas-to-particle phase partitioning and mass loading of fine aerosols. Six "sensitivity regimes" were defined, where PM1 and PM2.5 fall in the "HCl and HNO3 sensitive regime", emphasizing that HCl and HNO3 reductions would be the most effective pathway for aerosol mitigation in the IGP, which is ammonia-rich during winter. This study provides evidence that precursor abatement for aerosol mitigation should not be based on their descending mass concentrations but instead on their sensitivity to high aerosol loading.
Non diabetic renal disease in the diabetic: Pilot study
Authors: Weerakkody Ranga , Ginige Anusha , Ranathunge Niluka 
Published: December 2022

Abstract
Diabetes is the most important factor for chronic renal failure. Studies have shown that patients with diabetes could have non diabetic kidney disease as coexisting pathologies in up to 1/3 of patients with diabetic nephropathy. The status of Sri Lanka is not known and this pilot study was done to find the prevalence of non-diabetic kidney disease. This is a retrospective study done by analyzing biopsy reports and patient data. The commonest non diabetic kidney disease was hypertensive nephrosclerosis, followed up by membranoproliferative glomerulonephritis. 26.9% had non-diabetic kidney disease and 1/3 of them have a potentially curable condition with immunosuppression.
Chaos Raman distributed optical fiber sensing
Authors: Zhang Mingjiang , Wang Chenyi , Li Jian , Zhou Xinxin , Cheng Zijia , Qiao Lijun , Xue Xiaohui 
Published: December 2022

Abstract
The physics principle of pulse flight positioning is the main theoretical bottleneck that restricts the spatial resolution of the existing Raman distributed optical fiber sensing scheme. Owing to the pulse width of tens of nanoseconds, the spatial resolution of the existing Raman distributed optical fiber sensing scheme with kilometer-level sensing distance is limited to the meter level, which seriously restricts the development of the optical time-domain reflection system. In this paper, a chaos laser is proposed in the context of the physical principle of the Raman scattering effect, and a novel theory of chaos Raman distributed optical fiber sensing scheme is presented. The scheme reveals the characteristics of chaos Raman scattering light excited by a chaotic signal on the sensing fiber. Further, the chaos time-domain compression demodulation mechanism between the temperature variation information and chaos correlation peak is demonstrated. Then, the position of the temperature variation signal is precisely located using the delay time of the chaos correlation peak combined with the chaos pulse flight time. Based on this novel optical sensing mechanism, an experiment with 10 cm spatial resolution and 1.4 km sensing distance was conducted, and the spatial resolution was found to be independent of the sensing distance. Within the limit of the existing spatial resolution theory, the spatial resolution of the proposed scheme is 50 times higher than that of the traditional scheme. The scheme also provides a new research direction for optical chaos and optical fiber sensing.
Amplicon-based metagenomic association analysis of gut microbiota in relation to egg-laying period and breeds of hens
Authors: Wang Xiangyu , Meng Jin-Xin , Ren Wei-Xin , Ma He , Liu Gang , Liu Rui , Geng Hong-Li , Zhao Quan , Zhang Xiao-Xuan , Ni Hong-Bo 
Published: December 2022

Abstract
Background
Gut microbiota plays a vital role in the maintenance of gut homeostasis and the improvement of performance. The gut microbiota of laying hens is visibly different in different laying stages, which correlates significantly with egg production. To better understand the association between characteristics of microbial community and different laying periods in Hyland brown and Isa laying hens, we conducted a 16S rRNA amplicon sequencing survey.
Results
Our result revealed the diversity of bacteria in the early laying period was commonly higher than peak, and in Hyland brown laying hens were generally higher than Isa. Principal coordinate analysis (PCoA) and permutational multivariate analysis of variance (PERMANOVA) revealed that the structure and composition of the gut microbiota of laying hens exhibited significant differences among different groups. Phylum Firmicutes, Bacteroidota, Proteobacteria, and Fusobacteriota were found that dominated in the host’s feces. Therein, the abundance of Fusobacteriota was higher in the peak period than in the early period, while the abundance of Cyanobacteria in the early period was higher in two breeds of hens. Furthermore, random forest based on machine learning showed that there were several distinctly abundant genera, which can be used as potential biomarkers to differentiate the different groups of laying periods and breeds. In addition, the prediction of biological function indicated the existing discrepancy in microbial function among the microbiota of four groups.
Conclusions
Our findings provide new insights for understanding the bacterial diversity and intestinal flora composition of different strains of laying hens during different laying periods, and contributed beneficially to improving the production performance of laying hens and preventing chicken diseases.
Assessing Knowledge and Barriers at the Primary Care Provider Level that Contribute to Disparities in Inflammatory Breast Cancer Diagnosis and Treatment
Authors: Devi Gayathri , Fish Laura , Bennion Alexandra , Sawin Gregory , Weaver Sarah , Tran Anh 
Published: December 2022

Abstract
Purpose: The purpose of this study was to evaluate knowledge gaps and barriers related to diagnosis and care of inflammatory breast cancer (IBC), a rare but most lethal breast cancer subtype, amongst Primary Care Providers (PCP) as they are often the first point of contact when patients notice initial symptoms.
Methods: PCP participants within Duke University Health System, federally qualified health center, corporate employee health and community practices, nearby academic medical center, Duke physician assistant, and nurse leadership program alumni were first selected in a convenience sample (n=11) for semi-structured interviews (n=11). Based on these data, an online survey tool was developed and disseminated (n=78) to assess salient measures of IBC diagnosis, health disparity factors, referral and care coordination practices, COVID impact, and continued medical education (CME).
Results: PCP reported access to care and knowledge gaps in symptom recognition (mean = 3.3, range 1-7) as major barriers. Only 31% reported ever suspecting IBC in a patient. PCP (n=49) responded being challenged with referral delays in diagnostic imaging. Additionally, since the COVID-19 pandemic started, 63% reported breast cancer referral delays, and 33% reported diagnosing less breast cancer. PCP stated interest in CME in their practice for improved diagnosis and patient care, which included online (53%), lunch time or other in-service training (33%), patient and provider-facing websites (32%).
Conclusions: Challenges communicating rare cancer information, gaps in confidence in diagnosing IBC, and timely follow-up with patients and specialists underscores the need for developing PCP educational modules to improve guideline-concordant care.
Unbiased Image Segmentation Assessment Toolkit for Quantitative Differentiation of State-of-the- Art Algorithms and Pipelines
Authors: Goyal Vishakha , Schaub Nick J. , Voss Ty C. , Hotaling Nathan A. 
Published: December 2022

Abstract
Background
Image segmentation pipelines are commonly used in microscopy to identify cellular compartments like nucleus and cytoplasm, but there are few standards for comparing segmentation accuracy across pipelines. The process of selecting a segmentation pipeline can seem daunting to researchers due to the number and variety of metrics available for evaluating segmentation accuracy.
Results
Here we present automated pipelines to obtain a comprehensive set of 69 metrics to evaluate segmented data and propose a selection methodology for models based on quantitative analysis, dimension reduction or unsupervised classification techniques and informed selection criteria.
Conclusion
We show that the metrics used here can often be reduced to a small number of metrics that give a more complete understanding of segmentation accuracy, with different groups of metrics providing sensitivity to different types of segmentation error. These tools are delivered as easy to use python libraries, command line tools, Common Workflow Language Tools, and as Web Image Processing Pipeline interactive plugins to ensure a wide range of users can access and use them. We also present how our evaluation methods can be used to observe the changes in segmentations across modern machine learning/deep learning workflows and use cases.
Efficacy of antiandrogens in androgen receptor-positive triple-negative metastatic breast cancer: real-life data
Authors: RHANINE Yasmine , BONNEFOI Hervé , GONCALVES Anthony , DEBLED Marc , Moulec Sylvestre Le , BONICHON Nathalie , MACGROGAN Gaetan , ARNEDOS Monica , DUBROCA-DEHEZ Bénédicte , Grellety Thomas 
Published: December 2022

Abstract

Purpose
Androgen Receptor (AR) + triple-negative breast cancer (TNBC) accounts for approximately 25% of all TNBC. Several trials using different antiandrogens (AA) found clinical benefit rates (CBR) ranging from 19 to 29%. The aim of this retrospective trial was to assess the clinical benefit of AA in real life.
Methods
Patients with metastatic AR + TNBC who have received at least one dose of an AA (abiraterone acetate, enzalutamide or bicalutamide) were eligible. Assessable patients received at least 4 weeks of AA and at least one tumor assessment. The primary end-point was CBR at 6 months defined as patients exhibiting an objective response (OR) or stable disease (SD) for at least 6 months.
Results
A total of 26 patients were eligible and 24 patients were assessable. Median age at initiation of AA was 70 years (range 50–90). Fifty percent exhibited liver and/or lung metastases. Median number of previous lines of chemotherapy was 3 (range 0–10). AA used were: abiraterone acetate (62%), enzalutamide (8%) and bicalutamide (30%). CBR at 6 months was 29% (7/24) with 5 OR (2 CR, 3 PR) and 2 SD. Fifty-seven percent (4/7) of patients with a 6-months CBR received AA in first line versus 18% (3/17) in later lines. Four patients had a clinical benefit > 12 months. There were no grade > 2 side effects.
Conclusion
Real-life efficacy of AA use in metastatic AR + TNBC are in line with data from published trials. A proportion of AR + TNBC patients benefit from AA and with some deriving long-term clinical benefit.
Cited1 as a Marker of Favourable Outcome in Anti-endocrine Treated Erα-positive, Lymph Node Negative Breast Cancer
Authors: Dahlgren Malin , Lettiero Barbara , Dalal Hina , Mårtensson Kira , Gaber Alexander , Nodin Björn , Gruvberger-Saal Sofia K. , Saal Lao H. , Howlin Jillian 
Published: December 2022

Abstract
OBJECTIVE: We present our observations of CITED1 as a potential biomarker of anti-endocrine treatment response and recurrence in breast cancer and suggest that this is dependent on its role in mediating a specific ERα transcriptional response. The study is a continuation of earlier work establishing the role of CITED1 in mammary gland development.
RESULTS: CITED1 mRNA is associated with ER-positivity and selectively expressed in the GOBO dataset of cell lines and tumours representing the luminal-molecular subtype. In patients treated with tamoxifen, higher CITED1 correlated with better outcome, suggesting a role in anti-estrogen treatment response. The effect was particularly evident in the subset of ER+, lymph node negative patients and noticeable divergence of the groups was apparent only after at least 5 years. TMA analysis further validated the association of CITED1 protein, by IHC, with favourable outcome in ER+, tamoxifen-treated tumours. Although we also found a favourable response to anti-endocrine treatment in a larger TCGA dataset, the tamoxifen-specific effect was not replicated. MCF7s overexpressing CITED1 showed selective amplification of AREG but not TGFαsuggesting that maintenance of specific ERα-CITED1 mediated transcription is important for the long-term response to anti-endocrine therapy and that CITED1 could potentially be utilized as a prognostic biomarker.
Drug exposure during pregnancy: A case-control study of abortions of a Catalan Primary Care Database
Authors: Gomez-Lumbreras Ainhoa , Vazquez Marta Leston , Vilaplana-Carnerero Carles , Prat-Vallverdu Oriol , Vedia Cristina , Morros Rosa , Giner-Soriano Maria 
Published: December 2022

Abstract
Background: Exposure to medicines during pregnancy is frequent, even more during first trimester as pregnant women might not be aware of their condition. Aiming to establish potential relationship of earlier exposure to medicines and risk of abortion we conducted an observational study.
Methods: this is a retrospective case-control study of abortions (cases) and live birth pregnancies (controls) matched by mother age using SIDIAP database (Catalan Primary Health electronic health records database). Exposure to medicines while pregnant was considered to assess the risk of abortion during the first trimester. The odds ratio was estimated by a conditional logistic regression and adjust by health conditions and medicines exposures.
Results: A total of 60,350 episodes of abortions were matched to 118,085 live birth/completed pregnancy episodes. Cases had higher rates of alcohol intake (9.9% vs 7.2%), smoking (4.5% vs 3.6%) and of previous abortions (9.9% vs 7.8%). Anxiety (30.3% and 25.1%), respiratory diseases (10.6% and 9.2%) and migraine (8.2% and 7.3%), for cases and controls respectively, were the most frequent baseline conditions. Cases had higher rate of exposure to medicines [40,148 (66.5%) vs 37636 (68.9%), p<0.001, cases and controls respectively]. A risk for abortion was found for antihistamines for systemic use (ORadj 1.23, 95%CI 1.19-1.27), antidepressants (ORadj 1.11, 95%CI 1.06-1.17), anxiolytics (ORadj 1.31, 95%CI 1.26-1.73), and anti-inflammatory and rheumatic products, non-steroids (ORadj 1. 63, 95%CI 1.59-1.67).
Conclusions: These highest rate of medicines exposures during the first trimester of pregnancy and their relationship with abortion highlights the relevance of prescription to women with childbearing potential and may lead to better family planning information and contraception plans.
Registration: EUPAS37675