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  • 1
    In: British Journal of Surgery, Oxford University Press (OUP), Vol. 106, No. 2 ( 2019-01-08), p. e73-e80
    Abstract: The Clavien–Dindo classification is perhaps the most widely used approach for reporting postoperative complications in clinical trials. This system classifies complication severity by the treatment provided. However, it is unclear whether the Clavien–Dindo system can be used internationally in studies across differing healthcare systems in high- (HICs) and low- and middle-income countries (LMICs). Methods This was a secondary analysis of the International Surgical Outcomes Study (ISOS), a prospective observational cohort study of elective surgery in adults. Data collection occurred over a 7-day period. Severity of complications was graded using Clavien–Dindo and the simpler ISOS grading (mild, moderate or severe, based on guided investigator judgement). Severity grading was compared using the intraclass correlation coefficient (ICC). Data are presented as frequencies and ICC values (with 95 per cent c.i.). The analysis was stratified by income status of the country, comparing HICs with LMICs. Results A total of 44 814 patients were recruited from 474 hospitals in 27 countries (19 HICs and 8 LMICs). Some 7508 patients (16·8 per cent) experienced at least one postoperative complication, equivalent to 11 664 complications in total. Using the ISOS classification, 5504 of 11 664 complications (47·2 per cent) were graded as mild, 4244 (36·4 per cent) as moderate and 1916 (16·4 per cent) as severe. Using Clavien–Dindo, 6781 of 11 664 complications (58·1 per cent) were graded as I or II, 1740 (14·9 per cent) as III, 2408 (20·6 per cent) as IV and 735 (6·3 per cent) as V. Agreement between classification systems was poor overall (ICC 0·41, 95 per cent c.i. 0·20 to 0·55), and in LMICs (ICC 0·23, 0·05 to 0·38) and HICs (ICC 0·46, 0·25 to 0·59). Conclusion Caution is recommended when using a treatment approach to grade complications in global surgery studies, as this may introduce bias unintentionally.
    Type of Medium: Online Resource
    ISSN: 0007-1323 , 1365-2168
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2006309-X
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  • 2
    In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155
    Type of Medium: Online Resource
    ISSN: 0007-0912
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2011968-9
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  • 3
    Online Resource
    Online Resource
    Angle Publishing Co., Ltd. ; 2023
    In:  電腦學刊 Vol. 34, No. 4 ( 2023-08), p. 053-068
    In: 電腦學刊, Angle Publishing Co., Ltd., Vol. 34, No. 4 ( 2023-08), p. 053-068
    Abstract: 〈p〉In order to solve the problems of missing detection due to overlap and occlusion of contraband in X-ray images and low accuracy of small object detection, we propose a single-stage object detection framework based on PP-YOLO. Compared with the traditional prohibited item detection algorithm, it adds CBAM module on the basis of ResNet50 feature extraction network to enhance the feature extraction ability; For increasing the detail features of the detection layer, MSF module is introduced into FPN, which fuses the feature map with accurate position information in the lower layer and the feature map with strong semantic information in the higher layer; The partial convolution of backbone is improved to CompConv to accelerate the processing speed of the model, which compresses the network structure and improves the inference speed without losing performance. The results show that the mAP of the improved network for prohibited item detection is 94.67%, and the processing speed reaches 45 FPS, which means that the recognition accuracy and reasoning speed of this method have been improved to some extent.〈/p〉 〈p〉 〈/p〉
    Type of Medium: Online Resource
    ISSN: 1991-1599 , 1991-1599
    Uniform Title: X-ray Image Prohibited Item Detection Algorithm Based on Improved PP-YOLO
    Language: Unknown
    Publisher: Angle Publishing Co., Ltd.
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    Angle Publishing Co., Ltd. ; 2021
    In:  電腦學刊 Vol. 32, No. 5 ( 2021-10), p. 001-014
    In: 電腦學刊, Angle Publishing Co., Ltd., Vol. 32, No. 5 ( 2021-10), p. 001-014
    Abstract: The booming of deep learning has made it possible to estimate 3D gestures from ordinary color images. However, the high accuracy of inferring 3D hand postures from RGB images is still not available due to the high flexibility of the gestures themselves. This paper aims to address the problem of low accuracy of keypoint coordinates position in InterNet gesture estimation network, by means of improving the confidence coordinate function, and selecting different suppression factor β according to different keypoints to fit t interacting hand estimation. By doing so, the maximum position coordinates are more precise and the keypoint prediction is more accurate. With respect to good measures, enhancing the representation capability of the model and employing dynamic activation function at different locations of the network to learn features in a dynamic way so as to boost the learning of hidden joints. In this way, different layers dynamically adjusted the segmental activation function according to the input to improve the performance of the model by dynamically learning features in a more flexible way. The experimental results indicate that compared with the baseline algorithm, the MPJPE and MRRPE of this algorithm are reduced by 0.73% and 2.04%, respectively, and the accuracy of single hand estimation is higher while the accuracy of interacting hand estimation is also effectively improved.
    Type of Medium: Online Resource
    ISSN: 1991-1599 , 1991-1599
    Uniform Title: 3D Gesture Estimation from RGB Images Based on DB-InterNet
    Language: Unknown
    Publisher: Angle Publishing Co., Ltd.
    Publication Date: 2021
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  • 5
    In: Trials, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2020-12)
    Abstract: Currently, whether and when intraocular pressure (IOP)-lowering medication should be used in glaucoma suspects with high myopia (GSHM) remains unknown. Glaucoma suspects are visual field (VF) defects that cannot be explained by myopic macular changes or other retinal and neurologic conditions. Glaucoma progression is defined by VF deterioration. Here we describe the rationale, design, and methodology of a randomized controlled trial (RCT) designed to evaluate the effects of medically lowering IOP in GSHM (GSHM study). Methods The GSHM study is an open-label, single-center, RCT for GSHM. Overall, 264 newly diagnosed participants, aged 35 to 65 years, will be recruited at the Zhongshan Ophthalmic Center, Sun Yat-sen University, between 2020 and 2021. Participants will be randomly divided into two arms at a 1:1 ratio. Participants in the intervention arm will receive IOP-lowering medication, while participants in the control arm will be followed up without treatment for 36 months or until they reach the end point. Only one eye per participant will be eligible for the study. If both eyes are eligible, the eye with the worse VF will be recruited. The primary outcome is the incidence of glaucoma suspect progression by VF testing over 36 months. The secondary outcomes include the incidence of changes in the optic nerve head morphology including the retinal nerve fiber layer, and retinal ganglion cell-inner plexiform layer loss, progression of myopic maculopathy, visual function loss, and change in the quality of life. Statistical analyses will include baseline characteristics comparison between the intervention and control groups using a two-sample t -test and Wilcoxon rank sum test; generalized linear models with Poisson regression for the primary outcome; Kaplan-Meier curve and log-rank test for the incidence of the secondary outcome; and longitudinal analyses to assess trends in outcomes across time. Discussion To the best of our knowledge, the GSHM study is the first RCT to investigate the impact of medically lowering IOP in GSHM. The results will have implications for the clinical management of GSHM. Trial registration ClinicalTrials.gov NCT04296916. Registered on 4 March 2020
    Type of Medium: Online Resource
    ISSN: 1745-6215
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2040523-6
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.
    Type of Medium: Online Resource
    ISSN: 1720-8319
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2119282-0
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  • 7
    In: Thoracic Cancer, Wiley, Vol. 13, No. 21 ( 2022-11), p. 3084-3097
    Abstract: Gene fusions can drive tumor development for multiple types of cancer. Currently, many drugs targeting gene fusions are being approved for clinical application. At present, tyrosine receptor kinase (TRK) inhibitors targeting neurotrophic tyrosine receptor kinase ( NTRK ) gene fusions are among the first “tumor agnostic” drugs approved for pan‐cancer use. Representative TRK inhibitors, including larotrectinib and entrectinib, have shown high efficacy for many types of cancer. At the same time, several second‐generation drugs designed to overcome first‐generation drug resistance are undergoing clinical development. Due to the rarity of NTRK gene fusions in common cancer types and technical issues regarding the complexity of fusion patterns, effectively screening patients for TRK inhibitor treatment in routine clinical practice is challenging. Different detection methods including immunohistochemistry, fluorescence in situ hybridization, reverse transcription‐polymerase chain reaction, and (DNA and/or RNA‐based) next‐generation sequencing have pros and cons. As such, recommending suitable tests for individual patients and ensuring the quality of tests is essential. Moreover, at present, there is a lack of systematic review for the clinical efficacy and development status of first‐ and second‐generation TRK inhibitors. To resolve the above issues, our expert group has reached a consensus regarding the diagnosis and treatment of NTRK gene fusion solid tumors, aiming to standardize clinical practice with the goal of benefiting patients with NTRK gene fusions treated with TRK inhibitors.
    Type of Medium: Online Resource
    ISSN: 1759-7706 , 1759-7714
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2559245-2
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  • 8
    Online Resource
    Online Resource
    Informa UK Limited ; 2022
    In:  Drying Technology Vol. 40, No. 8 ( 2022-06-15), p. 1688-1702
    In: Drying Technology, Informa UK Limited, Vol. 40, No. 8 ( 2022-06-15), p. 1688-1702
    Type of Medium: Online Resource
    ISSN: 0737-3937 , 1532-2300
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2049461-0
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  • 9
    In: Gastroenterology, Elsevier BV, Vol. 165, No. 1 ( 2023-07), p. 61-70.e5
    Type of Medium: Online Resource
    ISSN: 0016-5085
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
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  • 10
    In: BMC Medicine, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2022-10-21)
    Abstract: Little is known about the effects of maintaining healthy sleep patterns on frailty transitions. Methods Based on 23,847 Chinese adults aged 30–79 in a prospective cohort study, we examined the associations between sleep patterns and frailty transitions. Healthy sleep patterns included sleep duration at 7 or 8 h/d, without insomnia disorder, and no snoring. Participants who persisted with a healthy sleep pattern in both surveys were defined as maintaining a healthy sleep pattern and scored one point. We used 27 phenotypes to construct a frailty index and defined three statuses: robust, prefrail, and frail. Frailty transitions were defined as the change of frailty status between the 2 surveys: improved, worsened, and remained. Log-binomial regression was used to calculate the prevalence ratio (PR) to assess the effect of sleep patterns on frailty transitions. Results During a median follow-up of 8.0 years among 23,847 adults, 45.5% of robust participants, and 10.8% of prefrail participants worsened their frailty status, while 18.6% of prefrail participants improved. Among robust participants at baseline, individuals who maintained sleep duration of 7 or 8 h/ds, without insomnia disorder, and no-snoring were less likely to worsen their frailty status; the corresponding PRs (95% CIs) were 0.92 (0.89–0.96), 0.76 (0.74–0.77), and 0.85 (0.82–0.88), respectively. Similar results were observed among prefrail participants maintaining healthy sleep patterns. Maintaining healthy sleep duration and without snoring, also raised the probability of improving the frailty status; the corresponding PRs were 1.09 (1.00–1.18) and 1.42 (1.31–1.54), respectively. Besides, a dose-response relationship was observed between constantly healthy sleep scores and the risk of frailty transitions ( P for trend 〈  0.001). Conclusions Maintaining a comprehensive healthy sleep pattern was positively associated with a lower risk of worsening frailty status and a higher probability of improving frailty status among Chinese adults.
    Type of Medium: Online Resource
    ISSN: 1741-7015
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2131669-7
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