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Wang WW, Zhou QX, Ma L, Feng SH, Yang ZR, Sun F, Zhan S. [Introduction of a tool to assess Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E)]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2022; 43:98-104. [PMID: 35130659 DOI: 10.3760/cma.j.cn112338-20201112-01324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This paper summaries the Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E), a tool for evaluating risk of bias about non-randomized studies of exposures (NRSE), and introduces the application of ROBINS-E in a published NRSE. According to the characteristics of NRSE, evaluation fields and signaling questions were designed in ROBINS-E to provide essential information about risk of bias for NRSE included in systematic reviews and GRADE. ROBINS-E is the tool in assessment of risk of bias in observational studies and quasi-randomized studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
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He S, Tian W, Zhao J, Gong R, Wang T, Ma L. Carfilzomib inhibits the proliferation and apoptosis of multiple myeloma cells by inhibiting STAT1/COX-2/iNOS signaling pathway. Transl Cancer Res 2022; 11:206-216. [PMID: 35261897 PMCID: PMC8841661 DOI: 10.21037/tcr-21-2534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 01/07/2022] [Indexed: 11/09/2022]
Abstract
Background The ubiquitin-proteasome pathway (UPP) plays a key role in the intracellular degradation of abnormal and misfolded proteins in eukaryotic cells. Multiple myeloma (MM) is a common hematologic malignancy caused by clonal expansion of malignant plasma cells. Proteasome-targeted drugs such as carfilzomib, which is a selective proteasome inhibitor (PI), could play an important role in the treatment of diseases such as MM. Methods MM cells were treated with different concentrations of carfilzomib and apoptosis as well as the viability of MM cells were measured by flow cytometry analysis and MTT assay. We also measured the effect of carfilzomib on the proliferation of myeloma cells by DNA incorporation of the pyrimidine analog BrdU. The effect of carfilzomib on apoptosis was detected by immunofluorescence TUNEL staining and western blot. We also verified its effect on the STAT1/COX-2/iNOS pathway by western blot. Results Carfilzomib inhibited the growth of MM cells in a concentration-dependent manner, with the strongest inhibitory activity on RPMI-8226 cells. Carfilzomib also induced apoptosis of MM cells in a concentration-dependent manner, with the strongest effect on RPMI-8226. BrdU assay was then performed with RPMI-8226 cells, and the results showed that carfilzomib inhibited cell proliferation in a concentration-dependent manner. Immunofluorescence TUNEL staining and western blot assays showed that carfilzomib induced apoptosis in a dose-dependent manner, and promoted the expression of apoptosis-related proteins such as cleaved-caspase-3, cleaved-caspase-3, Bax and Bcl2. Western blot also verified that carfilzomib promoted STAT1 inhibition and subsequently inhibited COX-2 and iNOS. Conclusions Inhibition of the STAT1/COX-2/iNOS signaling pathway by carfilzomib not only inhibited MM cell proliferation, but was also an important mechanism of inducing MM cell apoptosis.
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Gorsky S, Ma L. OUP accepted manuscript. Biometrika 2022; 109:569-587. [PMID: 36381997 PMCID: PMC9648765 DOI: 10.1093/biomet/asac013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Identifying dependency in multivariate data is a common inference task
that arises in numerous applications. However, existing nonparametric
independence tests typically require computation that scales at least
quadratically with the sample size, making it difficult to apply them in the
presence of massive sample sizes. Moreover, resampling is usually necessary to
evaluate the statistical significance of the resulting test statistics at finite
sample sizes, further worsening the computational burden. We introduce a
scalable, resampling-free approach to testing the independence between two
random vectors by breaking down the task into simple univariate tests of
independence on a collection of 2 × 2 contingency tables constructed
through sequential coarse-to-fine discretization of the sample space,
transforming the inference task into a multiple testing problem that can be
completed with almost linear complexity with respect to the sample size. To
address increasing dimensionality, we introduce a coarse-to-fine sequential
adaptive procedure that exploits the spatial features of dependency structures.
We derive a finite-sample theory that guarantees the inferential validity of our
adaptive procedure at any given sample size. We show that our approach can
achieve strong control of the level of the testing procedure at any sample size
without resampling or asymptotic approximation and establish its large-sample
consistency. We demonstrate through an extensive simulation study its
substantial computational advantage in comparison to existing approaches while
achieving robust statistical power under various dependency scenarios, and
illustrate how its divide-and-conquer nature can be exploited to not just test
independence, but to learn the nature of the underlying dependency. Finally, we
demonstrate the use of our method through analysing a dataset from a flow
cytometry experiment.
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Abdallah MS, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Butterworth J, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo X, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen D, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Measurement of the Sixth-Order Cumulant of Net-Proton Multiplicity Distributions in Au+Au Collisions at sqrt[s_{NN}]=27, 54.4, and 200 GeV at RHIC. PHYSICAL REVIEW LETTERS 2021; 127:262301. [PMID: 35029466 DOI: 10.1103/physrevlett.127.262301] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/19/2021] [Accepted: 11/11/2021] [Indexed: 06/14/2023]
Abstract
According to first-principle lattice QCD calculations, the transition from quark-gluon plasma to hadronic matter is a smooth crossover in the region μ_{B}≤T_{c}. In this range the ratio, C_{6}/C_{2}, of net-baryon distributions are predicted to be negative. In this Letter, we report the first measurement of the midrapidity net-proton C_{6}/C_{2} from 27, 54.4, and 200 GeV Au+Au collisions at the Relativistic Heavy Ion Collider (RHIC). The dependence on collision centrality and kinematic acceptance in (p_{T}, y) are analyzed. While for 27 and 54.4 GeV collisions the C_{6}/C_{2} values are close to zero within uncertainties, it is observed that for 200 GeV collisions, the C_{6}/C_{2} ratio becomes progressively negative from peripheral to central collisions. Transport model calculations without critical dynamics predict mostly positive values except for the most central collisions within uncertainties. These observations seem to favor a smooth crossover in the high-energy nuclear collisions at top RHIC energy.
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Huang X, Ma L, Wang X, Wang H, Peng Y, Gao X, Huang H, Chen Y, Zhang Y, Cao Z. Ckip-1 Mediates P. gingivalis-Suppressed Cementoblast Mineralization. J Dent Res 2021; 101:599-608. [PMID: 34875910 DOI: 10.1177/00220345211054744] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Porphyromonas gingivalis is responsible for the destruction of cementum in patients with periodontitis and periapical periodontitis. However, research about the effects of P. gingivalis on cementoblast mineralization and the underlying mechanism is still lacking. Casein kinase 2 interacting protein 1 (Ckip-1) is a scaffold protein that interacts with various proteins and signals to regulate different cell functions, such as cell morphology, apoptosis, and differentiation. In this study, we verified the suppressive effects of P. gingivalis and lipopolysaccharide (Pg-LPS) on OCCM-30 mineralization. We also showed that Ckip-1 gradually decreased during OCCM-30 mineralization but increased with the aggravation of Pg-induced inflammation. However, it remained unchanged when cells were stimulated with Pg-LPS, regardless of the concentration and incubation time. Then, more cellular cementum and enhanced Osterix expression were observed in Ckip-1 knockout mice when compared with the wild-type mice. Meanwhile, Ckip-1 silencing significantly enhanced cementoblast mineralization with or without P. gingivalis-associated inflammation. The trend was opposite when Ckip-1 was overexpressed. Finally, we found that the p38, Akt, and Wnt pathways were activated, while the Erk1/2 pathway was inhibited when Ckip-1 was silenced. The opposite results were also observed in the Ckip-1 overexpression group. Furthermore, we proved that cell mineralization was weakened when p38, Akt inhibitors were applied and strengthened when the Erk1/2 pathway was inhibited. In summary, Ckip-1 is upregulated underP. gingivalis-induced inflammation and negatively regulates cementoblast mineralization partially through mitogen-activated protein kinases and Akt signaling pathways, which may contribute to the restoration of cementum destroyed by P. gingivalis.
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Ma L, He W, Li X, Liu X, Cao H, Guo L, Xiao X, Xu Y, Wu Y. Decreased CSF Dynamics in Treatment-Naive Patients with Essential Hypertension: A Study with Phase-Contrast Cine MR Imaging. AJNR Am J Neuroradiol 2021; 42:2146-2151. [PMID: 34620585 DOI: 10.3174/ajnr.a7284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 08/05/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Arterial sclerosis resulting from hypertension slows CSF transportation in the perivascular spaces, showing the intrinsic relationship between the CSF and the blood vasculature. However, the exact effect of hypertension on human CSF flow dynamics remains unclear. The present study aimed to evaluate CSF flow dynamics in treatment-naive patients with essential hypertension using phase-contrast cine MR imaging. MATERIALS AND METHODS The study included 60 never-treated patients with essential hypertension and 60 subjects without symptomatic atherosclerosis. CSF flow parameters, such as forward flow volume, forward peak velocity, reverse flow volume, reverse peak velocity, average flow, and net flow volume, were measured with phase-contrast cine MR imaging. Differences between the 2 groups were assessed to determine the independent determinants of these CSF flow parameters. RESULTS Forward flow volume, forward peak velocity, reverse flow volume, reverse peak velocity, and average flow in the patients with hypertension significantly decreased (all, P < .05). Increasing systolic blood pressure was significantly associated with lower forward flow volume (β = -0.44 mL/mL/mm Hg; 95% CI, -0.83 to -0.06 mL/mL/mm Hg), forward peak velocity (β = -0.50 cm/s/mm Hg; 95% CI, -0.88 to -0.12 cm/s/mm Hg), reverse flow volume (β = -0.61 mL/mL/mm Hg; 95% CI, -0.97 to -0.26 mL/mL/mm Hg), reverse peak velocity (β = -0.55 cm/s/mm Hg; 95% CI, -0.91-0.18 cm/s/mm Hg), and average flow (β = -0.50 mL/min/mm Hg; 95% CI, -0.93 to -0.08 mL/min/mm Hg). CONCLUSIONS The CSF flow dynamics in patients with hypertension are decreased, and increasing systolic blood pressure is strongly associated with lower CSF flow dynamics.
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Chen XQ, Zheng DY, Xiao YY, Dong BL, Cao CW, Ma L, Tong ZS, Zhu M, Liu ZH, Xi LY, Fu M, Jin Y, Yin B, Li FQ, Li XF, Abliz P, Liu HF, Zhang Y, Yu N, Wu WW, Xiong XC, Zeng JS, Huang HQ, Jiang YP, Chen GZ, Pan WH, Sang H, Wang Y, Guo Y, Shi DM, Yang JX, Chen W, Wan Z, Li RY, Wang AP, Ran YP, Yu J. Aetiology of tinea capitis in China: A multicentre prospective study. Br J Dermatol 2021; 186:705-712. [PMID: 34741300 DOI: 10.1111/bjd.20875] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Tinea capitis is still common in developing countries, such as China. Its pathogen spectrum varies across regions and changes over time. OBJECTIVES This study aimed to clarify the current epidemiological characteristics and pathogen spectrum of tinea capitis in China. METHODS A multicentre, prospective descriptive study involving 29 tertiary hospitals in China was conducted. From August 2019 to July 2020, 611 patients with tinea capitis were enrolled. Data concerning demography, risk factors and fungal tests were collected. The pathogens were further identified by morphology or molecular sequencing when necessary in the central laboratory. RESULTS Among all enrolled patients, 74.1% of the cases were 2- to 8-year-olds. The children with tinea capitis were mainly boys (56.2%) and more likely to have an animal contact history (57.4% vs. 35.3%, P = 0.012) and zoophilic dermatophyte infection (73.5%). The adults were mainly females (83.3%) and more likely to have anthropophilic agent infection (53.5%). The most common pathogen was zoophilic Microsporum canis (354, 65.2%), followed by anthropophilic Trichophyton violaceum (74, 13.6%). In contrast to the eastern, western and northeastern regions where zoophilic M. canis predominated, anthropophilic T. violaceum predominated in central China (69.2%, P < 0.0001), where the patients had the most tinea at other sites (20.3%) and dermatophytosis contact (25.9%) with the least animal contact (38.8%). Microsporum ferrugineum was the most common anthropophilic agent in the western area, especially in Xinjiang Province. CONCLUSIONS Boys aged approximately 5 years were mainly affected. Dermatologists are advised to pay more attention to the different transmission routes and pathogen spectra in different age groups from different regions.
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Ding M, Cui H, Li B, Zou B, Xu Y, Fan B, Li W, Ma L, Yu J, Wang L. Integrating Preoperative CT and Clinical Factors for Lymph Node Metastasis Prediction in Esophageal Cancer by Feature-Wise Attentional Graph Neural Network (FAGNN). Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ma L, Chen M, Gu X, Lu W. Generalizability Study of a Fluence Map Prediction Network. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Chew J, Sinha S, Liu S, Fogh S, Boreta L, Raleigh D, Ma L, Braunstein S. Consideration of Time From Planning to Treatment for Frameless Fractionated Stereotactic Radiosurgery in Patients With Intact Large Brain Metastases. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chi W, D'Cunha P, Chen M, Ma L, Kazemimoghadam M, Yang Z, Gu X, Albuquerque K, Lu W. An Artificial Intelligence Approach for Automatic Delineation of Para-Aortic Clinical Target Volume. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Zhong JH, Xing BC, Zhang WG, Chan AWH, Chong CCN, Serenari M, Peng N, Huang T, Lu SD, Liang ZY, Huo RR, Wang YY, Cescon M, Liu TQ, Li L, Wu FX, Ma L, Ravaioli M, Neri J, Cucchetti A, Johnson PJ, Li LQ, Xiang BD. Repeat hepatic resection versus radiofrequency ablation for recurrent hepatocellular carcinoma: a retrospective multicentre study. Br J Surg 2021; 109:71-78. [PMID: 34643677 DOI: 10.1093/bjs/znab340] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 09/02/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND The therapeutic value of repeat hepatic resection (rHR) or radiofrequency ablation (RFA) for recurrent hepatocellular carcinoma (HCC) is unknown. This study aimed to investigate the safety and efficacy of rHR or RFA. METHODS This was a retrospective multicentre study of patients with recurrent HCC within the Milan criteria who underwent rHR or RFA at nine university hospitals in China and Italy between January 2003 and January 2018. Survival after rHR or RFA was examined in unadjusted analyses and after propensity score matching (1 : 1). RESULTS Of 847 patients included, 307 and 540 underwent rHR and RFA respectively. Median overall survival was 73.5 and 67.0 months after rHR and RFA respectively (hazard ratio 1.01 (95 per cent c.i. 0.81 to 1.26)). Median recurrence-free survival was longer after rHR versus RFA (23.6 versus 15.2 months; hazard ratio 0.76 (95 per cent c.i. 0.65 to 0.89)). These results were confirmed after propensity score matching. RFA was associated with lower morbidity of grade 3 and above (0.6 versus 6.2 per cent; P < 0.001) and shorter hospital stay (8.0 versus 3.0 days, P < 0.001) than rHR. CONCLUSION rHR was associated with longer recurrence-free survival but not overall survival compared with RFA.
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Aaij R, Abellán Beteta C, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Alfonso Albero A, Aliouche Z, Alkhazov G, Alvarez Cartelle P, Amato S, Amhis Y, An L, Anderlini L, Andreianov A, Andreotti M, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Baladron Rodriguez P, Balagura V, Baldini W, Baptista Leite J, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bassi G, Batsukh B, Battig A, Bay A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Bifani S, Billoir P, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, Bobulska D, Boelhauve JA, Boente Garcia O, Boettcher T, Boldyrev A, Bondar A, Bondar N, Borghi S, Borisyak M, Borsato M, Borsuk JT, Bouchiba SA, Bowcock TJV, Boyer A, Bozzi C, Bradley MJ, Braun S, Brea Rodriguez A, Brodski M, Brodzicka J, Brossa Gonzalo A, Brundu D, Buonaura A, Burr C, Bursche A, Butkevich A, Butter JS, Buytaert J, Byczynski W, Cadeddu S, Cai H, Calabrese R, Calefice L, Calero Diaz L, Cali S, Calladine R, Calvi M, Calvo Gomez M, Camargo Magalhaes P, Campana P, Campoverde Quezada AF, Capelli S, Capriotti L, Carbone A, Carboni G, Cardinale R, Cardini A, Carli I, Carniti P, Carus L, Carvalho Akiba K, Casais Vidal A, Casse G, Cattaneo M, Cavallero G, Celani S, Cerasoli J, Chadwick AJ, Chapman MG, Charles M, Charpentier P, Chatzikonstantinidis G, Chavez Barajas CA, Chefdeville M, Chen C, Chen S, Chernov A, Chobanova V, Cholak S, Chrzaszcz M, Chubykin A, Chulikov V, Ciambrone P, Cicala MF, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Cobbledick JL, Coco V, Coelho JAB, Cogan J, Cogneras E, Cojocariu L, Collins P, Colombo T, Congedo L, Contu A, Cooke N, Coombs G, Corredoira Fernandez I, Corti G, Costa Sobral CM, Couturier B, Craik DC, Crkovská J, Cruz Torres M, Currie R, Da Silva CL, Dadabaev S, Dall'Occo E, Dalseno J, D'Ambrosio C, Danilina A, d'Argent P, Davis A, De Aguiar Francisco O, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, de Vries JA, Dean CT, Decamp D, Del Buono L, Delaney B, Dembinski HP, Dendek A, Denysenko V, Derkach D, Deschamps O, Desse F, Dettori F, Dey B, Di Cicco A, Di Nezza P, Didenko S, Dieste Maronas L, Dijkstra H, Dobishuk V, Donohoe AM, Dordei F, Dos Reis AC, Douglas L, Dovbnya A, Downes AG, Dreimanis K, Dudek MW, Dufour L, Duk V, Durante P, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, Eisenhardt S, Ek-In S, Eklund L, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Falabella A, Fan J, Fan Y, Fang B, Farry S, Fazzini D, Féo M, Fernandez Prieto A, Fernandez-Tenllado Arribas JM, Fernez AD, Ferrari F, Ferreira Lopes L, Ferreira Rodrigues F, Ferreres Sole S, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fkiaras A, Fleuret F, Fontana M, Fontanelli F, Forty R, Franco Lima V, Franco Sevilla M, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Fu J, Fuehring Q, Funk W, Gabriel E, Gaintseva T, Gallas Torreira A, Galli D, Gambetta S, Gan Y, Gandelman M, Gandini P, Gao Y, Garau M, Garcia Martin LM, Garcia Moreno P, García Pardiñas J, Garcia Plana B, Garcia Rosales FA, Garrido L, Gaspar C, Geertsema RE, Gerick D, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Gerstel D, Ghez P, Gibson V, Giemza HK, Giovannetti M, Gioventù A, Gironella Gironell P, Giubega L, Giugliano C, Gizdov K, Gkougkousis EL, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Gomez Fernandez S, Goncalves Abrantes F, Goncerz M, Gong G, Gorbounov P, Gorelov IV, Gotti C, Govorkova E, Grabowski JP, Grammatico T, Granado Cardoso LA, Graugés E, Graverini E, Graziani G, Grecu A, Greeven LM, Griffith P, Grillo L, Gromov S, Gruberg Cazon BR, Gu C, Guarise M, Günther PA, Gushchin E, Guth A, Guz Y, Gys T, Hadavizadeh T, Haefeli G, Haen C, Haimberger J, Halewood-Leagas T, Hamilton PM, Hammerich JP, Han Q, Han X, Hancock TH, Hansmann-Menzemer S, Harnew N, Harrison T, Hasse C, Hatch M, He J, Hecker M, Heijhoff K, Heinicke K, Hennequin AM, Hennessy K, Henry L, Heuel J, Hicheur A, Hill D, Hilton M, Hollitt SE, Hu J, Hu J, Hu W, Hu X, Huang W, Huang X, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Hynds D, Ibis P, Idzik M, Ilin D, Ilten P, Inglessi A, Ishteev A, Ivshin K, Jacobsson R, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jezabek M, Jiang F, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Kandybei S, Kang Y, Karacson M, Karpov M, Keizer F, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Klimaszewski K, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kress F, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kucewicz W, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Le Gac R, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li L, Li P, Li S, Li Y, Li Y, Li Z, Liang X, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu S, Loi A, Lomba Castro J, Longstaff I, Lopes JH, Lovell GH, Lu Y, Lucchesi D, Luchuk S, Lucio Martinez M, Lukashenko V, Luo Y, Lupato A, Luppi E, Lupton O, Lusiani A, Lyu X, Ma L, Ma R, Maccolini S, Machefert F, Maciuc F, Macko V, Mackowiak P, Maddrell-Mander S, Madejczyk O, Madhan Mohan LR, Maev O, Maevskiy A, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malinin A, Maltsev T, Malygina H, Manca G, Mancinelli G, Manuzzi D, Marangotto D, Maratas J, Marchand JF, Marconi U, Mariani S, Marin Benito C, Marinangeli M, Marks J, Marshall AM, Marshall PJ, Martellotti G, Martinazzoli L, Martinelli M, Martinez Santos D, Martinez Vidal F, Massafferri A, Materok M, Matev R, Mathad A, Mathe Z, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mazurek M, McCann M, Mcconnell L, Mcgrath TH, McNab A, McNulty R, Mead JV, Meadows B, Meier G, Meinert N, Melnychuk D, Meloni S, Merk M, Merli A, Meyer Garcia L, Mikhasenko M, Milanes DA, Millard E, Milovanovic M, Minard MN, Minotti A, Minzoni L, Mitchell SE, Mitreska B, Mitzel DS, Mödden A, Mohammed RA, Moise RD, Mombächer T, Monroy IA, Monteil S, Morandin M, Morello G, Morello MJ, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Muheim F, Mulder M, Müller D, Müller K, Murphy CH, Murray D, Muzzetto P, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri I, Neri N, Neubert S, Neufeld N, Newcombe R, Nguyen TD, Nguyen-Mau C, Niel EM, Nieswand S, Nikitin N, Nolte NS, Normand C, Nunez C, Oblakowska-Mucha A, Obraztsov V, O'Hanlon DP, Oldeman R, Olivares ME, Onderwater CJG, O'neil RH, Ossowska A, Otalora Goicochea JM, Ovsiannikova T, Owen P, Oyanguren A, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Pan Y, Panshin G, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parker W, Parkes C, Parkinson CJ, Passalacqua B, Passaleva G, Pastore A, Patel M, Patrignani C, Pawley CJ, Pearce A, Pellegrino A, Pepe Altarelli M, Perazzini S, Pereima D, Perret P, Petric M, Petridis K, Petrolini A, Petrov A, Petrucci S, Petruzzo M, Pham TTH, Philippov A, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pili M, Pinci D, Pisani F, P K R, Placinta V, Plews J, Plo Casasus M, Polci F, Poli Lener M, Poliakova M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Pomery GJ, Ponce S, Popov D, Popov S, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Pullen H, Punzi G, Qi H, Qian W, Qin J, Qin N, Quagliani R, Quintana B, Raab NV, Rabadan Trejo RI, Rachwal B, Rademacker JH, Rama M, Ramos Pernas M, Rangel MS, Ratnikov F, Raven G, Reboud M, Redi F, Reiss F, Remon Alepuz C, Ren Z, Renaudin V, Ribatti R, Ricciardi S, Rinnert K, Robbe P, Robertson G, Rodrigues AB, Rodrigues E, Rodriguez Lopez JA, Rodriguez Rodriguez E, Rollings A, Roloff P, Romanovskiy V, Romero Lamas M, Romero Vidal A, Roth JD, Rotondo M, Rudolph MS, Ruf T, Ruiz Vidal J, Ryzhikov A, Ryzka J, Saborido Silva JJ, Sagidova N, Sahoo N, Saitta B, Salomoni M, Sanchez Gonzalo D, Sanchez Gras C, Santacesaria R, Santamarina Rios C, Santimaria M, Santovetti E, Saranin D, Sarpis G, Sarpis M, Sarti A, Satriano C, Satta A, Saur M, Savrina D, Sazak H, Scantlebury Smead LG, Scarabotto A, Schael S, Schiller M, Schindler H, Schmelling M, Schmidt B, Schneider O, Schopper A, Schubiger M, Schulte S, Schune MH, Schwemmer R, Sciascia B, Sellam S, Semennikov A, Senghi Soares M, Sergi A, Serra N, Sestini L, Seuthe A, Seyfert P, Shang Y, Shangase DM, Shapkin M, Shchemerov I, Shchutska L, Shears T, Shekhtman L, Shen Z, Shevchenko V, Shields EB, Shmanin E, Shupperd JD, Siddi BG, Silva Coutinho R, Simi G, Simone S, Skidmore N, Skwarnicki T, Slater MW, Slazyk I, Smallwood JC, Smeaton JG, Smetkina A, Smith E, Smith M, Snoch A, Soares M, Soares Lavra L, Sokoloff MD, Soler FJP, Solovev A, Solovyev I, Souza De Almeida FL, Souza De Paula B, Spaan B, Spadaro Norella E, Spradlin P, Stagni F, Stahl M, Stahl S, Stefko P, Steinkamp O, Stenyakin O, Stevens H, Stone S, Stramaglia ME, Straticiuc M, Strekalina D, Suljik F, Sun J, Sun L, Sun Y, Svihra P, Swallow PN, Swientek K, Szabelski A, Szumlak T, Szymanski M, Taneja S, Tanner AR, Terentev A, Teubert F, Thomas E, Thompson DJD, Thomson KA, Tisserand V, T'Jampens S, Tobin M, Tomassetti L, Torres Machado D, Tou DY, Tran MT, Trifonova E, Trippl C, Tuci G, Tully A, Tuning N, Ukleja A, Unverzagt DJ, Ursov E, Usachov A, Ustyuzhanin A, Uwer U, Vagner A, Vagnoni V, Valassi A, Valenti G, Valls Canudas N, van Beuzekom M, Van Dijk M, van Herwijnen E, Van Hulse CB, van Veghel M, Vazquez Gomez R, Vazquez Regueiro P, Vázquez Sierra C, Vecchi S, Velthuis JJ, Veltri M, Venkateswaran A, Veronesi M, Vesterinen M, Vieira D, Vieites Diaz M, Viemann H, Vilasis-Cardona X, Vilella Figueras E, Villa A, Vincent P, Vom Bruch D, Vorobyev A, Vorobyev V, Voropaev N, Vos K, Waldi R, Walsh J, Wang C, Wang J, Wang J, Wang J, Wang J, Wang M, Wang R, Wang Y, Wang Z, Wang Z, Wark HM, Watson NK, Weber SG, Websdale D, Weisser C, Westhenry BDC, White DJ, Whitehead M, Wiedner D, Wilkinson G, Wilkinson M, Williams I, Williams M, Williams MRJ, Wilson FF, Wislicki W, Witek M, Witola L, Wormser G, Wotton SA, Wu H, Wyllie K, Xiang Z, Xiao D, Xie Y, Xu A, Xu J, Xu L, Xu M, Xu Q, Xu Z, Xu Z, Yang D, Yang S, Yang Y, Yang Z, Yang Z, Yao Y, Yeomans LE, Yin H, Yu J, Yuan X, Yushchenko O, Zaffaroni E, Zavertyaev M, Zdybal M, Zenaiev O, Zeng M, Zhang D, Zhang L, Zhang S, Zhang Y, Zhang Y, Zharkova A, Zhelezov A, Zheng Y, Zhou X, Zhou Y, Zhu X, Zhu Z, Zhukov V, Zonneveld JB, Zou Q, Zucchelli S, Zuliani D, Zunica G. Branching Fraction Measurements of the Rare B_{s}^{0}→ϕμ^{+}μ^{-} and B_{s}^{0}→f_{2}^{'}(1525)μ^{+}μ^{-} Decays. PHYSICAL REVIEW LETTERS 2021; 127:151801. [PMID: 34678003 DOI: 10.1103/physrevlett.127.151801] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
The branching fraction of the rare B_{s}^{0}→ϕμ^{+}μ^{-} decay is measured using data collected by the LHCb experiment at center-of-mass energies of 7, 8, and 13 TeV, corresponding to integrated luminosities of 1, 2, and 6 fb^{-1}, respectively. The branching fraction is reported in intervals of q^{2}, the square of the dimuon invariant mass. In the q^{2} region between 1.1 and 6.0 GeV^{2}/c^{4}, the measurement is found to lie 3.6 standard deviations below a standard model prediction based on a combination of light cone sum rule and lattice QCD calculations. In addition, the first observation of the rare B_{s}^{0}→f_{2}^{'}(1525)μ^{+}μ^{-} decay is reported with a statistical significance of 9 standard deviations and its branching fraction is determined.
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Yang L, Xu Z, Ma L, Liang Z, Xu W, Xu L, Zhang Y, Chen W, Kong F. OA02.01 Assessment of Patient-Reported Outcomes in Lung cancer Patients Treated with Thoracic Radiation. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Wang Z, Lu B, Xu T, Wei C, Ma L. P69.04 Immune-Related Genomic Features in Non-Small-Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Xu W, Ma L, Liang Z, Zhao C, Zhang F, Xu L, Zhang Y, Chen W, Chen Z, Zha J, Han Y, Qu Y, Zhang J, Yang L, Kong F. P40.17 Palliative Radiotherapy Decreased K+ and Ca2+of the Blood in Patients With Stage IV Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Liang Z, Ma L, Zhao C, Zhang F, Xu W, Xu L, Chen W, Chen Z, Zha J, Han Y, Qu Y, Wang Q, Zhang J, Yang L, Kong F. P40.03 Palliative Radiotherapy Decreased Circulating White Blood Cells in Patients With Stage IV Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Parikh K, Ma L, Treuner K, Wong J, Schnabel C, Gutierrez M. P59.05 Integration of Molecular Cancer Classification and NGS to Identify Metastatic Cancer Patients Eligible For Lung Cancer Directed Therapy. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Zhang Y, Dai W, Xu L, Ma L, Liang Z, Zhao C, Xu W, Chen W, Chen Z, Yang L, Kong F. P21.01 Selected ctDNA Panel Gene Sequencing for Neoantigen Discovery and Survival Prediction in Patients With Stage IV Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hu J, Gao J, Liu J, Meng H, Hao N, Song Y, Ma L, Luo W, Sun J, Gao W, Meng W, Sun Y. Prospective evaluation of first-trimester screening strategy for preterm pre-eclampsia and its clinical applicability in China. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:529-539. [PMID: 33817865 DOI: 10.1002/uog.23645] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/05/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES To evaluate, in a Chinese population, the performance of a screening strategy for preterm pre-eclampsia (PE) using The Fetal Medicine Foundation (FMF)'s competing-risks model and to explore its clinical applicability in mainland China. METHODS This was a prospective, multicenter, observational cohort study including 10 899 women with singleton pregnancy who sought prenatal care at one of 13 hospitals, located in seven cities in mainland China, between 1 December 2017 and 30 December 2019. Mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and maternal serum levels of placental growth factor (PlGF) and pregnancy-associated plasma protein-A (PAPP-A) at 11 + 0 to 13 + 6 weeks' gestation were measured and converted into multiples of the median using Chinese reference ranges. Individualized risk for preterm PE was calculated using the FMF algorithm. Prior risk was calculated based on maternal demographic characteristics and obstetric history. We evaluated the efficiency of the screening strategy using various combinations of biomarkers and analyzed its predictive performance for a composite of placenta-associated adverse pregnancy outcomes, including PE, placental abruption, small-for-gestational age (SGA) and preterm birth, at fixed false-positive rates for preterm PE. RESULTS We identified 312 pregnancies that developed PE, of which 117 cases were diagnosed as preterm PE (< 37 weeks' gestation). There were 386 pregnancies complicated by severe composite placenta-associated adverse outcome, including preterm PE, 146 cases of severe SGA (birth weight < 3rd percentile) neonate, 61 cases with placental abruption and 109 cases of early preterm birth < 34 gestational weeks. The triple-marker model containing biomarkers MAP, UtA-PI and PAPP-A achieved, at fixed false-positive rates of 10%, 15% and 20%, detection rates for preterm PE of 65.0%, 72.7% and 76.1%, respectively, and detection rates for severe composite placenta-associated adverse outcome of 34.7%, 41.7% and 46.4%, respectively. Replacing PAPP-A with PlGF or adding PlGF to the model did not improve the performance. Of women screening positive for preterm PE at a fixed 5% false-positive rate, an estimated 30% developed at least one placenta-associated adverse pregnancy outcome, including PE, placental abruption, SGA (birth weight < 10th percentile) and preterm birth < 37 weeks. CONCLUSIONS The FMF competing-risks model for preterm PE was found to be effective in screening a mainland Chinese population. Women who screened positive for preterm PE had increased risk for other placenta-associated pregnancy complications. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.
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Wang Z, Xiang X, Chen Y, Zhao X, Liu Y, Xu Z, Ma L. Treating paediatric acrodermatitis continua of Hallopeau with adalimumab: a case series. Clin Exp Dermatol 2021; 47:195-196. [PMID: 34559906 DOI: 10.1111/ced.14890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 08/12/2021] [Indexed: 01/01/2023]
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Zhang Y, Betran AP, Li X, Liu D, Yuan N, Shang L, Lin W, Tu S, Wang L, Wu X, Zhu T, Zhang Y, Lu Z, Zheng L, Gu C, Fang J, Liu Z, Ma L, Cai Z, Yang X, Li H, Zhang H, Zhao X, Yan L, Wang L, Sun X, Luo Q, Liu L, Zhu J, Qin W, Yao Q, Dong S, Yang Y, Cui Z, He Y, Feng X, He L, Zhang H, Zhang L, Wang X, Souza JP, Qi H, Duan T, Zhang J. What is an appropriate caesarean delivery rate for China: a multicentre survey. BJOG 2021; 129:138-147. [PMID: 34559941 PMCID: PMC9297886 DOI: 10.1111/1471-0528.16951] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 11/30/2022]
Abstract
Objective To assess the current status of caesarean delivery (CD) in China, propose reference CD rates for China overall, and by regions, investigate the main indications for CDs and identify possible areas for safe reduction. Design A multicentre cross‐sectional study. Setting A total of 94 hospitals across 23 provinces in China. Population A total of 73 977 randomly selected deliveries. Methods We used a modified Robson classification to characterise CDs in subgroups and by regions, and the World Health Organization (WHO) C‐Model to calculate reference CD rates. Main outcome measures CD rates in China. Results In 2015–2016, the overall CD rate in China was 38.9% (95% CI 38.6–39.3%). Considering the obstetric characteristics of the population, the multivariable model‐based reference CD rate was estimated at 28.5% (95% CI 28.3–28.8%). Accordingly, an absolute reduction of 10.4% (or 26.7% relative reduction) may be considered. The CD rate varied substantially by region. Previous CD was the most common indication in all regions, accounting for 38.2% of all CDs, followed by maternal request (9.8%), labour dystocia (8.3%), fetal distress (7.7%) and malpresentation (7.6%). Overall, 12.7% of women had prelabour CDs, contributing to 32.8% of the total CDs. Conclusions Nearly 39% of births were delivered by caesarean in China but a reduction of this rate by a quarter may be considered attainable. Repeat CD contributed more than one‐third of the total CDs. Given the large variation in maternal characteristics, region‐specific or even hospital‐specific reference CD rates are needed for precision management of CD. Tweetable abstract The caesarean rate in 2015–2016 in China was 38.9%, whereas the reference rate was 28.5%. The caesarean rate in 2015–2016 in China was 38.9%, whereas the reference rate was 28.5%. Linked article This article is commented on by M Varner, p. 148 in this issue. To view this mini commentary visit https://doi.org/10.1111/1471-0528.16953.
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Cao X, Wang HM, Lu R, Zhang XH, Qu YL, Wang L, Wang SL, Bai SW, Liu X, Ma L, Xiong Y, Yang XF, She ZF. Establishment and verification of a nomogram for predicting severe acute pancreatitis. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:1455-1461. [PMID: 33629315 DOI: 10.26355/eurrev_202102_24853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The purpose of this study was to establish a nomogram for predicting the severity of acute pancreatitis (AP) and verify its predictive value. PATIENTS AND METHODS A total of 571 AP patients received by Ordos Central Hospital from January 2015 to December 2018 were included in this study. According to the 2012 Revised Atlanta classification, the included subjects were classified into severe AP (SAP) group and non-severe AP (NSAP) group [including patient with mild AP (MAP) and moderately SAP (MSAP)]. The baseline characteristics, imageological data and pathological data within 24 h after the disease onset between the two groups were analyzed using One-way analysis of variance (one-way ANOVA). R language was used for establishing a predictive nomogram, whose performance was verified by clinical data of 150 AP cases collected from December 2018 to December 2019. RESULTS One-way ANOVA shows that SAP and NSAP patients show significant differences in sex, calcium ions, creatinine, neutrophils ratio, lymphocytes ratio and eosinophils ratio (p<0.05). A predictive nomogram was accordingly established using the six indicators. Validation on this predictive nomogram showed high internal validation concordance index (C-index) of 0.69 (95% CI, 0.64-0.74), and high external validation C-index of 0.71 (95% CI, 0.67-0.76). CONCLUSIONS This nomogram can be used as a clinical tool to predict the severity of SAP.
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Aaij R, Beteta CA, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Albero AA, Aliouche Z, Alkhazov G, Cartelle PA, Amato S, Amhis Y, An L, Anderlini L, Andreianov A, Andreotti M, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Rodriguez PB, Balagura V, Baldini W, Leite JB, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bassi G, Batsukh B, Battig A, Bay A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Bifani S, Billoir P, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, Bobulska D, Boelhauve JA, Garcia OB, Boettcher T, Boldyrev A, Bondar A, Bondar N, 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Craik DC, Crkovská J, Torres MC, Currie R, Da Silva CL, Dadabaev S, Dall'Occo E, Dalseno J, D'Ambrosio C, Danilina A, d'Argent P, Davis A, Francisco ODA, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, de Vries JA, Dean CT, Decamp D, Del Buono L, Delaney B, Dembinski HP, Dendek A, Denysenko V, Derkach D, Deschamps O, Desse F, Dettori F, Dey B, Di Canto A, Di Cicco A, Di Nezza P, Didenko S, Maronas LD, Dijkstra H, Dobishuk V, Donohoe AM, Dordei F, Dos Reis AC, Douglas L, Dovbnya A, Downes AG, Dreimanis K, Dudek MW, Dufour L, Duk V, Durante P, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, Eisenhardt S, Ek-In S, Eklund L, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Falabella A, Fan J, Fan Y, Fang B, Farry S, Fazzini D, Féo M, Prieto AF, Arribas JMFT, Fernez AD, Ferrari F, Lopes LF, Rodrigues FF, Sole SF, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fkiaras A, Fleuret F, Fontana M, Fontanelli F, Forty R, Lima VF, Sevilla MF, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Fu J, Fuehring Q, Funk W, Gabriel E, Gaintseva T, Torreira AG, Galli D, Gambetta S, Gan Y, Gandelman M, Gandini P, Gao Y, Garau M, Martin LMG, Moreno PG, Pardiñas JG, Plana BG, Rosales FAG, Garrido L, Gaspar C, Geertsema RE, Gerick D, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Gerstel D, Ghez P, Gibson V, Giemza HK, Giovannetti M, Gioventù A, Gironell PG, Giubega L, Giugliano C, Gizdov K, Gkougkousis EL, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Fernandez SG, Abrantes FG, Goncerz M, Gong G, Gorbounov P, Gorelov IV, Gotti C, Govorkova E, Grabowski JP, Grammatico T, Cardoso LAG, Graugés E, Graverini E, Graziani G, Grecu A, Greeven LM, Griffith P, Grillo L, Gromov S, Cazon BRG, Gu C, Guarise M, Günther PA, Gushchin E, Guth A, Guz Y, Gys T, Hadavizadeh T, Haefeli G, Haen C, Haimberger J, Halewood-Leagas T, Hamilton PM, Hammerich JP, Han Q, Han X, Hancock TH, Hansmann-Menzemer S, Harnew N, Harrison T, Hasse C, Hatch M, He J, Hecker M, Heijhoff K, Heinicke K, Hennequin AM, Hennessy K, Henry L, Heuel J, Hicheur A, Hill D, Hilton M, Hollitt SE, Hu J, Hu J, Hu W, Hu X, Huang W, Huang X, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Hynds D, Ibis P, Idzik M, Ilin D, Ilten P, Inglessi A, Ishteev A, Ivshin K, Jacobsson R, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jezabek M, Jiang F, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Kandybei S, Kang Y, Karacson M, Karpov M, Keizer F, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Klimaszewski K, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kress F, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kucewicz W, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Le Gac R, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li L, Li P, Li S, Li Y, Li Y, Li Z, Liang X, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu S, Loi A, Castro JL, Longstaff I, Lopes JH, Lovell GH, Lu Y, Lucchesi D, Luchuk S, Martinez ML, Lukashenko V, Luo Y, Lupato A, Luppi E, Lupton O, Lusiani A, Lyu X, Ma L, Ma R, Maccolini S, Machefert F, Maciuc F, Macko V, Mackowiak P, Maddrell-Mander S, Madejczyk O, Mohan LRM, Maev O, Maevskiy A, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malinin A, Maltsev T, Malygina H, Manca G, Mancinelli G, Manuzzi D, Marangotto D, Maratas J, Marchand JF, Marconi U, Mariani S, Benito CM, Marinangeli M, Marks J, Marshall AM, Marshall PJ, Martellotti G, Martinazzoli L, Martinelli M, Santos DM, Vidal FM, Massafferri A, Materok M, Matev R, Mathad A, Mathe Z, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mazurek M, McCann M, Mcconnell L, Mcgrath TH, McNab A, McNulty R, Mead JV, Meadows B, Meier G, Meinert N, Melnychuk D, Meloni S, Merk M, Merli A, Garcia LM, Mikhasenko M, Milanes DA, Millard E, Milovanovic M, Minard MN, Minotti A, Minzoni L, Mitchell SE, Mitreska B, Mitzel DS, Mödden A, Mohammed RA, Moise RD, Mombächer T, Monroy IA, Monteil S, Morandin M, Morello G, Morello MJ, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Muheim F, Mulder M, Müller D, Müller K, Murphy CH, Murray D, Muzzetto P, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri I, Neri N, Neubert S, Neufeld N, Newcombe R, Nguyen TD, Nguyen-Mau C, Niel EM, Nieswand S, Nikitin N, Nolte NS, Normand C, Nunez C, Oblakowska-Mucha A, Obraztsov V, O'Hanlon DP, Oldeman R, Olivares ME, Onderwater CJG, O'neil RH, Ossowska A, Goicochea JMO, Ovsiannikova T, Owen P, Oyanguren A, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Pan Y, Panshin G, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parker W, Parkes C, Parkinson CJ, Passalacqua B, Passaleva G, Pastore A, Patel M, Patrignani C, Pawley CJ, Pearce A, Pellegrino A, Altarelli MP, Perazzini S, Pereima D, Perret P, Petrenko I, Petric M, Petridis K, Petrolini A, Petrov A, Petrucci S, Petruzzo M, Pham TTH, Philippov A, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pili M, Pinci D, Pisani F, K RP, Placinta V, Plews J, Casasus MP, Polci F, Lener MP, Poliakova M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Pomery GJ, Ponce S, Popov D, Popov S, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Pullen H, Punzi G, Qi H, Qian W, Qin J, Qin N, Quagliani R, Quintana B, Raab NV, Trejo RIR, Rachwal B, Rademacker JH, Rama M, Pernas MR, Rangel MS, Ratnikov F, Raven G, Reboud M, Redi F, Reiss F, Alepuz CR, Ren Z, Renaudin V, Ribatti R, Ricciardi S, Rinnert K, Robbe P, Robertson G, Rodrigues AB, Rodrigues E, Lopez JAR, Rollings A, Roloff P, Romanovskiy V, Lamas MR, Vidal AR, Roth JD, Rotondo M, Rudolph MS, Ruf T, Vidal JR, Ryzhikov A, Ryzka J, Silva JJS, Sagidova N, Sahoo N, Saitta B, Salomoni M, Gonzalo DS, Gras CS, Santacesaria R, Rios CS, Santimaria M, Santovetti E, Saranin D, Sarpis G, Sarpis M, Sarti A, Satriano C, Satta A, Saur M, Savrina D, Sazak H, Smead LGS, Scarabotto A, Schael S, Schiller M, Schindler H, Schmelling M, Schmidt B, Schneider O, Schopper A, Schubiger M, Schulte S, Schune MH, Schwemmer R, Sciascia B, Sellam S, Semennikov A, Soares MS, Sergi A, Serra N, Sestini L, Seuthe A, Seyfert P, Shang Y, Shangase DM, Shapkin M, Shchemerov I, Shchutska L, Shears T, Shekhtman L, Shen Z, Shevchenko V, Shields EB, Shmanin E, Shupperd JD, Siddi BG, Coutinho RS, Simi G, Simone S, Skidmore N, Skwarnicki T, Slater MW, Slazyk I, Smallwood JC, Smeaton JG, Smetkina A, Smith E, Smith M, Snoch A, Soares M, Lavra LS, Sokoloff MD, Soler FJP, Solovev A, Solovyev I, De Almeida FLS, De Paula BS, Spaan B, Norella ES, Spradlin P, Stagni F, Stahl M, Stahl S, Stefko P, Steinkamp O, Stenyakin O, Stevens H, Stone S, Stramaglia ME, Straticiuc M, Strekalina D, Suljik F, Sun J, Sun L, Sun Y, Svihra P, Swallow PN, Swientek K, Szabelski A, Szumlak T, Szymanski M, Taneja S, Tanner AR, Terentev A, Teubert F, Thomas E, Thomson KA, Tisserand V, T'Jampens S, Tobin M, Tomassetti L, Machado DT, Tou DY, Tran MT, Trifonova E, Trippl C, Tuci G, Tully A, Tuning N, Ukleja A, Unverzagt DJ, Ursov E, Usachov A, Ustyuzhanin A, Uwer U, Vagner A, Vagnoni V, Valassi A, Valenti G, Canudas NV, van Beuzekom M, Van Dijk M, van Herwijnen E, Van Hulse CB, van Veghel M, Gomez RV, Regueiro PV, Sierra CV, Vecchi S, Velthuis JJ, Veltri M, Venkateswaran A, Veronesi M, Vesterinen M, Vieira D, Diaz MV, Viemann H, Vilasis-Cardona X, Figueras EV, Villa A, Vincent P, Bruch DV, Vorobyev A, Vorobyev V, Voropaev N, Vos K, Waldi R, Walsh J, Wang C, Wang J, Wang J, Wang J, Wang J, Wang M, Wang R, Wang Y, Wang Z, Wang Z, Wark HM, Watson NK, Weber SG, Websdale D, Weisser C, Westhenry BDC, White DJ, Whitehead M, Wiedner D, Wilkinson G, Wilkinson M, Williams I, Williams M, Williams MRJ, Wilson FF, Wislicki W, Witek M, Witola L, Wormser G, Wotton SA, Wu H, Wyllie K, Xiang Z, Xiao D, Xie Y, Xu A, Xu J, Xu L, Xu M, Xu Q, Xu Z, Xu Z, Yang D, Yang S, Yang Y, Yang Z, Yang Z, Yao Y, Yeomans LE, Yin H, Yu J, Yuan X, Yushchenko O, Zaffaroni E, Zavertyaev M, Zdybal M, Zenaiev O, Zeng M, Zhang D, Zhang L, Zhang S, Zhang Y, Zhang Y, Zharkova A, Zhelezov A, Zheng Y, Zhou X, Zhou Y, Zhu X, Zhu Z, Zhukov V, Zonneveld JB, Zou Q, Zucchelli S, Zuliani D, Zunica G. Observation of the Mass Difference between Neutral Charm-Meson Eigenstates. PHYSICAL REVIEW LETTERS 2021; 127:111801. [PMID: 34558945 DOI: 10.1103/physrevlett.127.111801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 07/08/2021] [Indexed: 06/13/2023]
Abstract
A measurement of mixing and CP violation in neutral charm mesons is performed using data reconstructed in proton-proton collisions collected by the LHCb experiment from 2016 to 2018, corresponding to an integrated luminosity of 5.4 fb^{-1}. A total of 30.6 million D^{0}→K_{S}^{0}π^{+}π^{-} decays are analyzed using a method optimized for the measurement of the mass difference between neutral charm-meson eigenstates. Allowing for CP violation in mixing and in the interference between mixing and decay, the mass and decay-width differences are measured to be x_{CP}=[3.97±0.46(stat)±0.29(syst)]×10^{-3} and y_{CP}=[4.59±1.20(stat)±0.85(syst)]×10^{-3}, respectively. The CP-violating parameters are measured as Δx=[-0.27±0.18(stat)±0.01(syst)]×10^{-3} and Δy=[0.20±0.36(stat)±0.13(syst)]×10^{-3}. This is the first observation of a nonzero mass difference in the D^{0} meson system, with a significance exceeding seven standard deviations. The data are consistent with CP symmetry and improve existing constraints on the associated parameters.
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Ji SQ, Han R, Lin H, Huang PP, Ji CL, Hu XW, Liang F, Ma L. [Prevalence and influencing factors of deciduous dental caries among preschool children in Qingdao city in 2019]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:1129-1132. [PMID: 34619932 DOI: 10.3760/cma.j.cn112150-20210105-00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In 2019, the rate of primary tooth caries rate among 1 598 preschool children in Shinan District and Shibei District of Qingdao was 59.4%. The multivariate logistic regression model showed that compared with children ≤ 2 years old with history of iron deficiency anemia (IDA), suffering IDA, breastfeeding to 2 years old and no tooth melanin, children ≤ 2 years old without history of IDA, not suffering IDA, breastfeeding to less than 2 years old and heavy tooth melanin had a lower risk of primary tooth caries, with OR (95%CI) values about 0.328 (0.197-0.549), 0.354 (0.208-0.603), 0.636 (0.437-0.926) and 0.301 (0.143-0.635), respectively.
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