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Artículos de revistas sobre el tema "Subclassification"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 13 de febrero de 2022

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1

Osterman, Erik, Artur Mezheyeuski, Tobias Sjöblom, and Bengt Glimelius. "Beyond the NCCN Risk Factors in Colon Cancer: An Evaluation in a Swedish Population-Based Cohort." Annals of Surgical Oncology 27, no. 4 (2020): 1036–45. http://dx.doi.org/10.1245/s10434-019-08148-3.

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Abstract Background The purpose of this study was to investigate whether pT3–4 and pN-subclassifications, lymph-node ratio (LNR), tumour deposits, pre- and postoperative carcinoembryonic antigen (CEA), and C-reactive protein (CRP)—all parameters commonly collected in clinical management—add information about recurrence risk against a background of routine clinicopathological parameters as defined by the NCCN. Methods The prospective cohort consisted of all 416 patients diagnosed with colon cancer stage I–III in Uppsala County between 2010 and 2015. Cox proportional hazard models were used to c

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2

Borkenhagen, Jenna F., Daniel Eastwood, Deepak Kilari, et al. "Digital Rectal Examination Remains a Key Prognostic Tool for Prostate Cancer: A National Cancer Database Review." Journal of the National Comprehensive Cancer Network 17, no. 7 (2019): 829–37. http://dx.doi.org/10.6004/jnccn.2018.7278.

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AbstractBackground: Prostate cancer clinical stage T2 (cT2) subclassifications, as determined by digital rectal examination (DRE), are a historic method of staging prostate cancer. However, given the potential discomfort associated with prostate examination and the wide availability of other prognostic tests, the necessity of DRE is uncertain. This study sought to determine the prognostic value of the prostate cancer cT2 subclassifications in a contemporary cohort of patients. Methods: The National Cancer Database was used to identify a cohort of men with high-risk clinical T2N0M0 prostate can

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3

Cagiannos, Ilias, Markus Graefen, Pierre I. Karakiewicz, et al. "Analysis of Clinical Stage T2 Prostate Cancer: Do Current Subclassifications Represent an Improvement?" Journal of Clinical Oncology 20, no. 8 (2002): 2025–30. http://dx.doi.org/10.1200/jco.2002.08.123.

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PURPOSE: The purpose of this study was to determine whether the extent of palpable cancer within the prostate predicts outcome after radical prostatectomy. PATIENTS AND METHODS: We combined prospectively collected data on 1,755 consecutive clinical stage T2 patients treated with radical prostatectomy alone at four institutions. According to the 1992 American Joint Committee on Cancer tumor-node-metastasis system, 645 (37%) were T2a, 758 (43%) were T2b, and 352 (20%) were T2c. Kaplan-Meier and proportional hazards regression analyses were performed on the 1992 and 1997 T2 subclassifications. Af

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4

Tsukasaki, Kunihiro, Olivier Hermine, Ali Bazarbachi, et al. "Definition, Prognostic Factors, Treatment, and Response Criteria of Adult T-Cell Leukemia-Lymphoma: A Proposal From an International Consensus Meeting." Journal of Clinical Oncology 27, no. 3 (2009): 453–59. http://dx.doi.org/10.1200/jco.2008.18.2428.

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Adult T-cell leukemia-lymphoma (ATL) is a distinct peripheral T-lymphocytic malignancy associated with a retrovirus designated human T-cell lymphotropic virus type I (HTLV-1). The diversity in clinical features and prognosis of patients with this disease has led to its subclassification into the following four categories: acute, lymphoma, chronic, and smoldering types. The chronic and smoldering subtypes are considered indolent and are usually managed with watchful waiting until disease progression, analogous to the management of some patients with chronic lymphoid leukemia (CLL) or other indo

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5

Manske, Paul R. "Subclassification of polydactyly." British Journal of Plastic Surgery 49, no. 2 (1996): 137. http://dx.doi.org/10.1016/s0007-1226(96)90093-4.

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6

de Ru, JA. "Subclassification Does Matter." Cephalalgia 29, no. 7 (2009): 802–3. http://dx.doi.org/10.1111/j.1468-2982.2008.01796_1.x.

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7

Kuo, Tseng-tong. "Subclassification of thymomas." Pathology International 45, no. 1 (1995): 87. http://dx.doi.org/10.1111/j.1440-1827.1995.tb03384.x.

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8

von Dadelszen, Peter, Laura A. Magee, and James M. Roberts. "Subclassification of Preeclampsia." Hypertension in Pregnancy 22, no. 2 (2003): 143–48. http://dx.doi.org/10.1081/prg-120021060.

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9

D'Costa, D. F. "Subclassification of strokes." Lancet 339, no. 8808 (1992): 1541. http://dx.doi.org/10.1016/0140-6736(92)91307-t.

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10

Mathew, Eshani Nastassia, Nivedita Nadkarni, Su-Pin Choo, et al. "BCLC subclassification and tumour characteristics to provide prognostication of outcomes in an Asian population of locally advanced hepatocellular carcinoma treated using selective internal radiation therapy with Yttrium-90." Journal of Clinical Oncology 36, no. 4_suppl (2018): 443. http://dx.doi.org/10.1200/jco.2018.36.4_suppl.443.

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443 Background: Selective internal radiation therapy (SIRT) with Yttrium-90 (Y90) is preferentially used in locally advanced hepatocellular carcinoma (HCC) patients in the Barcelona clinic liver cancer (BCLC) B or C cohort. However, the BCLC B cohort has a wide heterogeneity. To address this, Bolondi et al. proposed a BCLC B subclassification system. Additionally, the BCLC C cohort is also diverse in their Child-Pugh (CP) stage and extent of portal vein thrombosis (PVT). The effect of these subclassifications on survival outcomes has not been studied in HCC patients treated using SIRT. Methods

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11

Nakamura, Tomoshige, and Mihoko Minami. "Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification." International Journal of Statistics and Probability 10, no. 1 (2020): 40. http://dx.doi.org/10.5539/ijsp.v10n1p40.

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In observational studies, the existence of confounding variables should be attended to, and propensity score weighting methods are often used to eliminate their e ects. Although many causal estimators have been proposed based on propensity scores, these estimators generally assume that the propensity scores are properly estimated. However, researchers have found that even a slight misspecification of the propensity score model can result in a bias of estimated treatment effects. Model misspecification problems may occur in practice, and hence, using a robust estimator for causal effect is reco

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12

Bedossa, Pierre, Guadalupe Garcia-Tsao, and Dhanpat Jain. "Cirrhosis Regression and Subclassification." Surgical Pathology Clinics 6, no. 2 (2013): 295–309. http://dx.doi.org/10.1016/j.path.2013.03.006.

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13

Deshpande, Vikram, Rajib Gupta, Nisha Sainani, et al. "Subclassification of Autoimmune Pancreatitis." American Journal of Surgical Pathology 35, no. 1 (2011): 26–35. http://dx.doi.org/10.1097/pas.0b013e3182027717.

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14

Germani, Giacomo, Amar Dhillon, Lorenzo Andreana, et al. "Histological subclassification of cirrhosis." Hepatology 52, no. 2 (2010): 805. http://dx.doi.org/10.1002/hep.23655.

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15

Han, Joseph K. "Subclassification of chronic rhinosinusitis." Laryngoscope 123 (January 31, 2013): S15—S27. http://dx.doi.org/10.1002/lary.23979.

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16

Shimosato, Yukio, Yoshihiro Matsuno, and Kenji Koga. "Subclassification of thymomas: Reply." Pathology International 45, no. 1 (1995): 88–89. http://dx.doi.org/10.1111/j.1440-1827.1995.tb03385.x.

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17

Dedeyne, Lenore, Jorgen A. Wullems, Jolan Dupont, Jos Tournoy, Evelien Gielen, and Sabine Verschueren. "Exploring Machine Learning Models Based on Accelerometer Sensor Alone or Combined With Gyroscope to Classify Home-Based Exercises and Physical Behavior in (Pre)sarcopenic Older Adults." Journal for the Measurement of Physical Behaviour 4, no. 2 (2021): 174–86. http://dx.doi.org/10.1123/jmpb.2020-0008.

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Tools for objective monitoring of home-based training and physical behavior (PB) in (pre)sarcopenic older adults are needed. The present study explored two approaches with machine learning models, including accelerometer data either with or without additional gyroscope data (in an inertial measurement unit). Twenty-five community-dwelling (pre)sarcopenic adults mean 80.7 [5.5] years) performed the Otago exercise protocol (OEP) and PB modules (e.g., sitting or walking) while wearing an inertial measurement unit on the lower back (Dynaport MoveMonitor; McRoberts, The Hague, The Netherlands). Mac

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18

이충규. "Subclassification of Verb Combination 『~teiku』 - Combining with comparison with subclassification of Lee (2014a)." Journal of Japanese Culture ll, no. 65 (2015): 61–82. http://dx.doi.org/10.21481/jbunka..65.201505.61.

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19

Maeshima, Shinichiro. "Subclassification of unilateral spatial neglect." Higher Brain Function Research 26, no. 3 (2006): 235–44. http://dx.doi.org/10.2496/hbfr.26.235.

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20

Jacobsen, William H. "The Subclassification of Southern Wakashan." Canadian Journal of Linguistics/Revue canadienne de linguistique 52, no. 1-2 (2007): 19–41. http://dx.doi.org/10.1017/s0008413100004187.

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AbstractThe Southern Wakashan (or Nootkan) languages exhibit a sort of chain relationship, from south to north: Makah, Nitinat, and Nootka. Given the intermediate geographic position of Nitinat with respect to Makah (situated more to the south) and Nootka (situated more to the north), one can ask which of these languages is most closely related to Nitinat. At present, this question remains unresolved, as reflected by the disagreement in the literature. Relying primarily on lexical data, but also considering aspects of sound changes and grammatical criteria, it is proposed that the closer group

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21

Morin, Ryan D., and David W. Scott. "DLBCL subclassification: divide and conquer?" Blood 135, no. 20 (2020): 1722–24. http://dx.doi.org/10.1182/blood.2020005335.

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22

Jacobsen, William H. "The Subclassification of Southern Wakashan." Canadian Journal of Linguistics / La revue canadienne de linguistique 52, no. 1 (2007): 19–41. http://dx.doi.org/10.1353/cjl.2008.0014.

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23

Jacobson, Robin R. "THE SUBCLASSIFICATION OF CHILD FIRESETTERS." Journal of Child Psychology and Psychiatry 26, no. 5 (1985): 769–75. http://dx.doi.org/10.1111/j.1469-7610.1985.tb00590.x.

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24

Hilditch, A., and G. M. Drew. "Subclassification of Peripheral Dopamine Receptors." Clinical and Experimental Hypertension. Part A: Theory and Practice 9, no. 5-6 (1987): 853–72. http://dx.doi.org/10.3109/10641968709161454.

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25

Colen, Rivka, Masumeh Hatami, Aikaterini Kotrotsou, et al. "NIMG-11RADIOMIC SUBCLASSIFICATION OF GLIOBLASTOMA." Neuro-Oncology 17, suppl 5 (2015): v155.3—v155. http://dx.doi.org/10.1093/neuonc/nov225.11.

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26

Brodde, O. E. "Subclassification of peripheral dopamine receptors." Journal of Autonomic Pharmacology 10, s1 (1990): s5—s10. http://dx.doi.org/10.1111/j.1474-8673.1990.tb00221.x.

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27

Arrieta, M. I., E. Gonzalez, and C. M. Lostao. "Subclassification of spiral monocentric whorls." International Journal of Anthropology 2, no. 2 (1987): 125–28. http://dx.doi.org/10.1007/bf02442357.

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28

Tan-Wilson, Anna L. "Subclassification of soybean Bowman-Birk isoinhibitors." Journal of the American Oil Chemists' Society 65, no. 9 (1988): 1475. http://dx.doi.org/10.1007/bf02898311.

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29

Exner, T., and E. Favaloro. "Subclassification of non-specific circulating anticoagulants." Pathology 24 (1992): 18. http://dx.doi.org/10.1016/s0031-3025(16)35946-3.

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30

Yi, So Young. "Subclassification of HI-Causatives in Korean." Korean Linguistics 16, no. 1 (2014): 51–62. http://dx.doi.org/10.1075/kl.16.1.03yi.

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The purpose of this paper is to categorize Korean HI-causatives. Kim (1998) suggests a division into bi-clausal compositional causatives and mono-clausal lexical causatives. According to her suggestion, while compositional HI-causatives possess two verbs, lexical HI-causatives possess only one, since when the originally causative meaning is lost, the verb becomes one lexical item. However, some of the examples she provides cannot be accepted intuitively. An experiment was carried out in order to prove it. Each subject was given eight sentences, five with lexical and three with compositional ca

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31

Shimosato, Yukio. "Controversies surrounding the subclassification of thymoma." Cancer 74, no. 2 (1994): 542–44. http://dx.doi.org/10.1002/1097-0142(19940715)74:2<542::aid-cncr2820740203>3.0.co;2-1.

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32

Scola, Shirley M., and Paul G. Watts. "Dentinal Dysplasia Type I. A Subclassification." British Journal of Orthodontics 14, no. 3 (1987): 175–79. http://dx.doi.org/10.1179/bjo.14.3.175.

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Dentinal Dysplasia Type I is a rare condition affecting the deciduous and permanent dentitions, in which the teeth present with short roots and considerably reduced or obliterated pulp spaces. These features were observed on the radiographs of a patient referred for orthodontic assessment, and an investigation of other members of the family revealed that the father and two siblings were also affected. There were variations in the lengths of the roots in those affected, and thus a subclassification of the dysplasia is proposed.

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33

Kudo, Masatoshi, Tadaaki Arizumi, Kazuomi Ueshima, Toshiharu Sakurai, Masayuki Kitano, and Naoshi Nishida. "Subclassification of BCLC B Stage Hepatocellular Carcinoma and Treatment Strategies: Proposal of Modified Bolondi's Subclassification (Kinki Criteria)." Digestive Diseases 33, no. 6 (2015): 751–58. http://dx.doi.org/10.1159/000439290.

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Intermediate stage hepatocellular carcinoma (HCC) is a very heterogeneous tumor in terms of tumor size (>3 cm ∼ over 10 cm), tumor number (4 ∼ over 20) and liver function (Child-Pugh score 5-9). However, transarterial chemoembolization is the only recommended treatment option according to the Barcelona Clinic Liver Cancer (BCLC) staging. Bolondi's subclassification of BCLC B stage is feasible; however, there are several weak points. Therefore, by modifying Bolondi's subclassification, we have proposed a more simplified subclassification, Kinki criteria. The Kinki criteria consist of 2 facto

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34

You, DongDo, JinSeok Heo, SeongHo Choi, DongWook Choi, and Kee-Taek Jang. "Pathologic T1 Subclassification of Ampullary Carcinoma With Perisphincteric or Duodenal Submucosal Invasion: Is It T1b?" Archives of Pathology & Laboratory Medicine 138, no. 8 (2014): 1072–76. http://dx.doi.org/10.5858/arpa.2013-0324-oa.

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Context.—In ampullary carcinoma staging, T1 is defined as a tumor limited to the ampulla of Vater or the sphincter of Oddi, and T2 is defined as invasion into the duodenal wall. However, the definition of duodenal wall invasion is vague. Ampullary carcinoma that invades beyond the sphincteric of Oddi (perisphincteric invasion) or into the duodenal submucosa could be considered pT1b because submucosal invasion is classified as pT1b in gastrointestinal tract tumors. However, there are no data regarding T subclassifications for ampullary carcinoma with perisphincteric or duodenal submucosa invasi

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35

Lee, Hye Won, Seung Up Kim, Jun Yong Park, et al. "Subclassification of Hepatocellular Carcinoma with BCLC Intermediate." Journal of Liver Cancer 16, no. 1 (2016): 17–22. http://dx.doi.org/10.17998/jlc.16.1.17.

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36

KASHIWAGI, Shinichiro, Yuka ASANO, Mao WATANABE, et al. "Clinicopathologic significance of mucinous breast carcinoma subclassification." Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association) 74, no. 4 (2013): 861–67. http://dx.doi.org/10.3919/jjsa.74.861.

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37

Chiaretti, Sabina, Gina Zini, and Renato Bassan. "DIAGNOSIS AND SUBCLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA." Mediterranean Journal of Hematology and Infectious Diseases 6, no. 1 (2014): e2014073. http://dx.doi.org/10.4084/mjhid.2014.073.

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Acute lymphoblastic leukemia (ALL) is a disseminated malignancy of B- or T-lymphoblasts which imposes a rapid and accurate diagnostic process to support an optimal risk-oriented therapy and thus increase the curability rate. The need for a precise diagnostic algorithm is underlined by the awareness that both ALL therapy and related success rates may vary greatly in function of ALL subset, from standard chemotherapy in patients with standard-risk ALL, to allotransplantation (SCT) and targeted therapy in high-risk patients and cases expressing suitable biological targets, respectively. This revi

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38

Kaufman, Amy G., Bharat N. Nathwani, and Kendall Preston. "Subclassification of follicular lymphomas by computerized microscopy." Human Pathology 18, no. 3 (1987): 226–31. http://dx.doi.org/10.1016/s0046-8177(87)80003-5.

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39

Lindberg, O., P. Östberg, B. B. Zandbelt, et al. "Cortical Morphometric Subclassification of Frontotemporal Lobar Degeneration." American Journal of Neuroradiology 30, no. 6 (2009): 1233–39. http://dx.doi.org/10.3174/ajnr.a1545.

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40

Gard, Anton, Bertil Lindahl, Gorav Batra, et al. "Interphysician agreement on subclassification of myocardial infarction." Heart 104, no. 15 (2018): 1284–91. http://dx.doi.org/10.1136/heartjnl-2017-312409.

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ObjectiveThe universal definition of myocardial infarction (MI) differentiates MI due to oxygen supply/demand mismatch (type 2) from MI due to plaque rupture (type 1) as well as from myocardial injuries of non-ischaemic or multifactorial nature. The purpose of this study was to investigate how often physicians agree in this classification and what factors lead to agreement or disagreement.MethodsA total of 1328 patients diagnosed with MI at eight different Swedish hospitals 2011 were included. All patients were retrospectively reclassified into different MI or myocardial injury subtypes by two

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41

Tyagi, S., V. P. Choudhry, and R. Saxena. "Subclassification of HbS syndrome: is it necessary?" Clinical & Laboratory Haematology 25, no. 6 (2003): 377–81. http://dx.doi.org/10.1046/j.0141-9854.2003.00555.x.

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42

Stille-Siegener, M., A. Heim, and H. R. Figulla. "Subclassification of dilated cardiomyopathy and interferon treatment." European Heart Journal 16, suppl O (1995): 147–49. http://dx.doi.org/10.1093/eurheartj/16.suppl_o.147.

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43

Kurec, A. S., G. A. Threatte, A. J. Gottlieb, J. R. Smith, J. Anderson, and F. R. Davey. "Immunophenotypic subclassification of chronic lymphocytic leukaemia (CLL)." British Journal of Haematology 81, no. 1 (1992): 45–51. http://dx.doi.org/10.1111/j.1365-2141.1992.tb08169.x.

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44

Guillou, Louis. "Pleomorphic sarcomas: subclassification, myogenic differentiation and prognosis." Diagnostic Histopathology 14, no. 11 (2008): 527–37. http://dx.doi.org/10.1016/j.mpdhp.2008.08.002.

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45

Tong, Leung Chu, Hyang-Mi Ko, Mauro Ajaj Saieg, Scott Boerner, William R. Geddie, and Gilda da Cunha Santos. "Subclassification of lymphoproliferative disorders in serous effusions." Cancer Cytopathology 121, no. 5 (2012): 261–70. http://dx.doi.org/10.1002/cncy.21257.

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46

Cusack, Noel J. "P2 receptor: Subclassification and structure-activity relationships." Drug Development Research 28, no. 3 (1993): 244–52. http://dx.doi.org/10.1002/ddr.430280310.

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47

Sikora, Sadiq S., Gadiyaram Srikanth, Anuj Sarkari, Ashok Kumar, Rajan Saxena, and Vinay K. Kapoor. "Hilar benign biliary strictures: need for subclassification." ANZ Journal of Surgery 73, no. 7 (2003): 484–88. http://dx.doi.org/10.1046/j.1445-1433.2002.02585.x.

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48

HAMILTON, C. A. "Imidazoline Receptors, Subclassification, and Drug-Induced Regulation." Annals of the New York Academy of Sciences 763, no. 1 The Imidazoli (1995): 57–65. http://dx.doi.org/10.1111/j.1749-6632.1995.tb32390.x.

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49

Rossing, Peter. "Subclassification of diabetes based on quantitative traits." Nature Reviews Nephrology 14, no. 6 (2018): 355–56. http://dx.doi.org/10.1038/s41581-018-0011-9.

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50

Flavahan, N. A., та P. M. Vanhoutte. "α1-Adrenoceptor subclassification in vascular smooth muscle". Trends in Pharmacological Sciences 7 (січень 1986): 347–49. http://dx.doi.org/10.1016/0165-6147(86)90383-4.

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