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Article ; Online: Risk Factors and Prediction Models for Postoperative Pathologically Malignant TI-RADS 3 Thyroid Nodules.

Peng, Bin / Zhang, Shaofeng / Du, Fei

2024 , Page(s) 1455613241228078

Abstract: Objective: ...

Abstract	Objective:
Language	English
Publishing date	2024-02-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	750153-5
ISSN	1942-7522 ; 0145-5613
ISSN (online)	1942-7522
ISSN	0145-5613
DOI	10.1177/01455613241228078
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Article: The New Orientation of Postoperative Analgesia: Remote Ischemic Preconditioning.

Xiao, Yunyu / Zhang, Shaofeng / Ren, Qiusheng

Journal of pain research

2024 Volume 17, Page(s) 1145–1152

Abstract: Purpose of review: Postoperative analgesia is currently a significant topic in anesthesiology. Currently, the predominant approach for achieving multimodal analgesia involves the utilization of pharmacotherapy and regional anesthesia procedures. The ... ...

Abstract	Purpose of review: Postoperative analgesia is currently a significant topic in anesthesiology. Currently, the predominant approach for achieving multimodal analgesia involves the utilization of pharmacotherapy and regional anesthesia procedures. The primary objectives of this approach are to mitigate postoperative pain, enhance patient satisfaction, and diminish overall opioid usage. Nevertheless, there is a scarcity of research on the use of remote ischemia preconditioning aimed at mitigating postoperative pain. Recent findings: Transient stoppage of blood flow to an organ has been found to elicit remote ischemia preconditioning (RIPC), which serves as a potent intrinsic mechanism for protecting numerous organs. In addition to its established role in protecting against reperfusion injury, RIPC has recently been identified as having potential benefits in the context of postoperative analgesia. Summary: In addition to traditional perioperative analgesia, RIPC provides perioperative analgesia and organ protection.
Language	English
Publishing date	2024-03-18
Publishing country	New Zealand
Document type	Journal Article ; Review
ZDB-ID	2495284-9
ISSN	1178-7090
ISSN	1178-7090
DOI	10.2147/JPR.S455127
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Article ; Online: Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model.

Liu, Bo / Zhang, Shaofeng / Liu, Chunyan / Han, Xia

Open life sciences

2023 Volume 18, Issue 1, Page(s) 20220705

Abstract: Non-small cell lung cancer (NSCLC) is one of the most common cancers worldwide, and chemotherapy is one of its main treatment methods. However, there are significant differences in patients' reactions to chemotherapy, leading to unsatisfactory treatment ... ...

Abstract	Non-small cell lung cancer (NSCLC) is one of the most common cancers worldwide, and chemotherapy is one of its main treatment methods. However, there are significant differences in patients' reactions to chemotherapy, leading to unsatisfactory treatment outcomes. Therefore, identifying relevant factors that affect the efficacy of chemotherapy can help doctors better develop personalized treatment plans, improve the treatment effectiveness, and quality of life of patients. This article aims to understand the specific clinical role of CYP1B1 gene in NSCLC. Therefore, based on the individualized health model of CYP1B1 gene polymorphism, this article analyzes the prediction of postoperative chemotherapy efficacy for NSCLC. Through a study on the control variables of postoperative recovery of stage III NSCLC in a hospital, according to the findings of this study, 14 of the 32 patients in the EGFR mutation-positive group relapsed. In the EGFR-negative group, 13 of the 36 patients relapsed. It can be considered that CYP1B1 gene polymorphism has a good curative effect in postoperative chemotherapy of NSCLC, and it can effectively control the recurrence rate of cancer.
Language	English
Publishing date	2023-10-16
Publishing country	Poland
Document type	Journal Article
ZDB-ID	2817958-4
ISSN	2391-5412 ; 2391-5412
ISSN (online)	2391-5412
ISSN	2391-5412
DOI	10.1515/biol-2022-0705
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Article ; Online: Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image.

Zhang, Shaofeng / Li, Danqing / Han, Xia

Open life sciences

2023 Volume 18, Issue 1, Page(s) 20220688

Abstract: Lung cancer is the cancer with the highest mortality rate and the highest incidence in the world at this stage. Among them, non-small lung cancer is the most common type of lung cancer, and most small cancers have disappeared, which is the optimal time ... ...

Abstract	Lung cancer is the cancer with the highest mortality rate and the highest incidence in the world at this stage. Among them, non-small lung cancer is the most common type of lung cancer, and most small cancers have disappeared, which is the optimal time for surgery at the time of diagnosis. To explore and systematically evaluate the clinical efficacy of CYP1B1 gene polymorphism in the treatment of epidermal growth factor receptor (EGFR) Mutant non-small cell lung cancer, this article proposes the principles of lung cancer screening based on CYP1B1 gene polymorphism and polarization imaging and explores the diagnosis and treatment of non-EGFR mutant lung cancer. Based on a large number of medical image data, imageomics can directly reflect the correlation between tumor molecular phenotype and image characteristics by deeply mining some imaging features of the image, which has important value in the early diagnosis of disease, the formulation of personalized treatment plan, and efficacy evaluation and prognosis prediction. A total of 141 NSCLC patients with sensitive EGFR mutation were included in this study, including 101 patients with EGFR single-gene mutation and 40 patients with EGFR multigene mutation coexisting mutation. Both groups of patients were female, aged ≥60 years, no smoking history, no family history of leukemia, adenocarcinoma, lung cancer, stage IV, lymph node metastasis, living, far from metastasis, and ECOG score of 0-2. This study examined the relative number of gene expression and PFS in EGFR multigene co-existing mutations. When the number of mixed genes is 1, 2, and higher, the PFS is 9 months, 8 months, and 6 months, respectively. The PFS time of this group of patients gradually shortened. Therefore, this study examined the benefit of polygenic mutation in estimation by comparing the clinical characteristics of patients with EGFR single-gene mutation and polygenic mutation, to provide measurement of EGFR-TKI and to provide suggestions for future drug selection.
Language	English
Publishing date	2023-09-30
Publishing country	Poland
Document type	Journal Article
ZDB-ID	2817958-4
ISSN	2391-5412 ; 2391-5412
ISSN (online)	2391-5412
ISSN	2391-5412
DOI	10.1515/biol-2022-0688
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Article: Episode of ventricular fibrillation in patient with coronary artery ectasia during coronary angiography.

Zheng, Shujiao / Liu, Zuheng / Zhang, Shaofeng / Xie, Qiang

Clinical case reports

2023 Volume 11, Issue 12, Page(s) e8151

Abstract: There was an 83-year-old man having coronary artery disease associated with coronary artery ectasia who occurred ventricular fibrillation suddenly during coronary artery angiography. As Kawasaki disease was suspected to the most likely reason which led ... ...

Abstract	There was an 83-year-old man having coronary artery disease associated with coronary artery ectasia who occurred ventricular fibrillation suddenly during coronary artery angiography. As Kawasaki disease was suspected to the most likely reason which led to coronary artery lesion.
Language	English
Publishing date	2023-12-01
Publishing country	England
Document type	Case Reports
ZDB-ID	2740234-4
ISSN	2050-0904
ISSN	2050-0904
DOI	10.1002/ccr3.8151
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Article ; Online: Prediction of ROS1 and TRKA/B/C occupancy in plasma and cerebrospinal fluid for entrectinib alone and in DDIs using physiologically based pharmacokinetic (PBPK) modeling approach.

Chen, Liangang / Yao, Na / Yang, Hongjie / Zhang, Shaofeng / Zhang, Kai

Cancer chemotherapy and pharmacology

2023 Volume 93, Issue 2, Page(s) 107–119

Abstract: Purpose: Entrectinib (ENT) is a potent c-ros oncogene 1(ROS1) and neurotrophic tyrosine receptor kinase (NTRKA/B/C) inhibitor. To determine the optimum dosage of ENT using ROS1 and NTRKA/B/C occupancy in plasma and cerebrospinal fluid (CSF) in drug-drug ...

Abstract	Purpose: Entrectinib (ENT) is a potent c-ros oncogene 1(ROS1) and neurotrophic tyrosine receptor kinase (NTRKA/B/C) inhibitor. To determine the optimum dosage of ENT using ROS1 and NTRKA/B/C occupancy in plasma and cerebrospinal fluid (CSF) in drug-drug interactions (DDIs), physiologically-based pharmacokinetic (PBPK) models for healthy subjects and cancer population were developed for ENT and M5 (active metabolite). Methods: The PBPK models were built using the modeling parameters of ENT and M5 that were mainly derived from the published paper on the ENT PBPK model, and then validated by the observed pharmacokinetics (PK) in plasma and CSF from healthy subjects and patients. Results: The PBPK model showed that AUC, C Conclusion: The PBPK models can serve as a powerful approach to predict ENT concentration as well as ROS1 and NTRKA/B/C occupancy in plasma and CSF.
MeSH term(s)	Humans ; Protein-Tyrosine Kinases ; Proto-Oncogene Proteins ; Drug Interactions ; Itraconazole/pharmacokinetics ; Models, Biological ; Benzamides ; Indazoles
Chemical Substances	entrectinib (L5ORF0AN1I) ; Protein-Tyrosine Kinases (EC 2.7.10.1) ; Proto-Oncogene Proteins ; Itraconazole (304NUG5GF4) ; ROS1 protein, human (EC 2.7.10.1) ; Benzamides ; Indazoles
Language	English
Publishing date	2023-10-14
Publishing country	Germany
Document type	Journal Article
ZDB-ID	6820-2
ISSN	1432-0843 ; 0344-5704 ; 0943-9404
ISSN (online)	1432-0843
ISSN	0344-5704 ; 0943-9404
DOI	10.1007/s00280-023-04598-5
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Article ; Online: Least Squares and Robust Rank-Based Double Bootstrap Analyses for Time-Series Intervention Designs.

Zhang, Shaofeng / McKean, Joseph W / Huitema, Bradley E

Evaluation & the health professions

2022 Volume 45, Issue 4, Page(s) 362–376

Abstract: Time-series intervention designs that include two or more phases have been widely discussed in the healthcare literature for many years. A convenient model for the analysis of these designs has a linear model part (to measure changes in level and trend) ... ...

Abstract	Time-series intervention designs that include two or more phases have been widely discussed in the healthcare literature for many years. A convenient model for the analysis of these designs has a linear model part (to measure changes in level and trend) plus a second part that measures the random error structure; the error structure is assumed to follow an autoregressive time-series process. Traditional generalized linear model approaches widely used to estimate this model are less than satisfactory because they tend to provide substantially biased intervention tests and confidence intervals. We describe an updated version of the original double bootstrap approach that was developed by McKnight et al. (2000) to correct for this problem. This updated analysis and a new robust version were recently implemented in an
MeSH term(s)	Humans ; Least-Squares Analysis ; Monte Carlo Method ; Research Design ; Time Factors
Language	English
Publishing date	2022-08-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	603792-6
ISSN	1552-3918 ; 0163-2787
ISSN (online)	1552-3918
ISSN	0163-2787
DOI	10.1177/01632787221119534
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Article ; Online: Medical Data Analysis of CYP1B1 Gene Polymorphism and Clinical Prognosis of Minimally Invasive Surgery for Lung Cancer.

Han, Xia / Li, Danqing / Zhang, Shaofeng

publication RETRACTED

BioMed research international

2022 Volume 2022, Page(s) 5217625

Abstract: To address the issue of genetic mutations in medical records, clinical studies on minimally invasive surgery for breast cancer have been proposed. The CYP1B1 gene is mainly a single-nucleotide mutation, which affects the enzymatic reaction related to ... ...

Abstract	To address the issue of genetic mutations in medical records, clinical studies on minimally invasive surgery for breast cancer have been proposed. The CYP1B1 gene is mainly a single-nucleotide mutation, which affects the enzymatic reaction related to carcinogens and causes the susceptibility differences of different individuals. First, the survival rate and other factors influencing the estimation of 120 leukemia patients were examined with the help of various medical records by establishing an organization for auxiliary diagnosis of lung cancer based on expertise. Secondly, through the treatment of 120 leukemia patients after minor surgery, the average life expectancy of 120 patients was 19 months, the one-year survival rate was 74.61%, and the two-year survival rate was 32.70%. Currently, there are more than 160 cases of CYP1B1 discovered. In recent years, people have gradually entered into in-depth research on the correlation between genes and lung cancer, which is of great significance to the treatment and research of lung cancer. An analysis showed patients' age, stage, whether they would work, whether radiation therapy and antibiotics were offered, and so on. s has a direct impact on patient survival, and many tests have shown that the patient's age, stage, whether it will work, and whether fire radiation and drug therapy are provided are important interventions for patients with anemia. Finally, in patients with leukemia, especially during the restricted period, combined treatment with a physician, radiologist, and surgeon should be initiated as soon as possible. For a wide range of disease, depending on the use of chemotherapy, local metastasis with antibiotics can improve the disease. After success, it is more beneficial to choose second-line treatment.
MeSH term(s)	Anti-Bacterial Agents/therapeutic use ; Carcinogens ; Cytochrome P-450 CYP1B1/genetics ; Data Analysis ; Humans ; Leukemia ; Lung Neoplasms/drug therapy ; Lung Neoplasms/genetics ; Lung Neoplasms/surgery ; Minimally Invasive Surgical Procedures ; Nucleotides/therapeutic use ; Polymorphism, Genetic ; Prognosis
Chemical Substances	Anti-Bacterial Agents ; Carcinogens ; Nucleotides ; CYP1B1 protein, human (EC 1.14.14.1) ; Cytochrome P-450 CYP1B1 (EC 1.14.14.1)
Language	English
Publishing date	2022-09-24
Publishing country	United States
Document type	Journal Article ; Retracted Publication
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2022/5217625
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Book ; Online: A Sample Reuse Strategy for Dynamic Influence Maximization Problem

Zhang, Shaofeng / Liu, Shengcai / Tang, Ke

2023

Abstract: Dynamic influence maximization problem (DIMP) aims to maintain a group of influential users within an evolving social network, so that the influence scope can be maximized at any given moment. A primary category of DIMP algorithms focuses on the renewal ... ...

Abstract	Dynamic influence maximization problem (DIMP) aims to maintain a group of influential users within an evolving social network, so that the influence scope can be maximized at any given moment. A primary category of DIMP algorithms focuses on the renewal of reverse reachable (RR) sets, which is designed for static social network scenarios, to accelerate the estimation of influence spread. And the generation time of RR sets plays a crucial role in algorithm efficiency. However, their update approaches require sequential updates for each edge change, leading to considerable computational cost. In this paper, we propose a strategy for batch updating the changes in network edge weights to efficiently maintain RR sets. By calculating the probability that previous RR sets can be regenerated at the current moment, we retain those with a high probability. This method can effectively avoid the computational cost associated with updating and sampling these RR sets. Besides, we propose an resampling strategy that generates high-probability RR sets to make the final distribution of RR sets approximate to the sampling probability distribution under the current social network. The experimental results indicate that our strategy is both scalable and efficient. On the one hand, compared to the previous update strategies, the running time of our strategy is insensitive to the number of changes in network weight; on the other hand, for various RR set-based algorithms, our strategy can reduce the running time while maintaining the solution quality that is essentially consistent with the static algorithms.
Keywords	Computer Science - Social and Information Networks
Subject code	005
Publishing date	2023-11-26
Publishing country	us
Document type	Book ; Online
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Book ; Online: Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning

Zhang, Shaofeng / Zhu, Feng / Zhao, Rui / Yan, Junchi

2023

Abstract: We propose ADCLR: A ccurate and D ense Contrastive Representation Learning, a novel self-supervised learning framework for learning accurate and dense vision representation. To extract spatial-sensitive information, ADCLR introduces query patches for ... ...

Abstract	We propose ADCLR: A ccurate and D ense Contrastive Representation Learning, a novel self-supervised learning framework for learning accurate and dense vision representation. To extract spatial-sensitive information, ADCLR introduces query patches for contrasting in addition with global contrasting. Compared with previous dense contrasting methods, ADCLR mainly enjoys three merits: i) achieving both global-discriminative and spatial-sensitive representation, ii) model-efficient (no extra parameters in addition to the global contrasting baseline), and iii) correspondence-free and thus simpler to implement. Our approach achieves new state-of-the-art performance for contrastive methods. On classification tasks, for ViT-S, ADCLR achieves 77.5% top-1 accuracy on ImageNet with linear probing, outperforming our baseline (DINO) without our devised techniques as plug-in, by 0.5%. For ViT-B, ADCLR achieves 79.8%, 84.0% accuracy on ImageNet by linear probing and finetune, outperforming iBOT by 0.3%, 0.2% accuracy. For dense tasks, on MS-COCO, ADCLR achieves significant improvements of 44.3% AP on object detection, 39.7% AP on instance segmentation, outperforming previous SOTA method SelfPatch by 2.2% and 1.2%, respectively. On ADE20K, ADCLR outperforms SelfPatch by 1.0% mIoU, 1.2% mAcc on the segme
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006 ; 004
Publishing date	2023-06-23
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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