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Refinado por: assunto: Aged remover assunto: Cohort Studies remover
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1
Desempenho da avaliação geriátrica compacta de 10 minutos (AGC-10) na predição de desfechos desfavoráveis em idosos ambulatoriais: estudo de coorte prospectivo
Desempenho da avaliação geriátrica compacta de 10 minutos (AGC-10) na predição de desfechos desfavoráveis em idosos ambulatoriais: estudo de coorte prospectivo
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Desempenho da avaliação geriátrica compacta de 10 minutos (AGC-10) na predição de desfechos desfavoráveis em idosos ambulatoriais: estudo de coorte prospectivo

Saraiva, Marcos Daniel Cabral

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Faculdade de Medicina 2021-09-10

Acesso online. A biblioteca também possui exemplares impressos.

2
Survival and prognosis factors in systemic sclerosis: data of a French multicenter cohort, systematic review, and meta-analysis of the literature
Survival and prognosis factors in systemic sclerosis: data of a French multicenter cohort, systematic review, and meta-analysis of the literature
Material Type:
Artigo 		Adicionar ao Meu Espaço

Survival and prognosis factors in systemic sclerosis: data of a French multicenter cohort, systematic review, and meta-analysis of the literature

Pokeerbux, M R ; Giovannelli, J ; Dauchet, L ; Mouthon, L ; Agard, C ; Lega, J C ; Allanore, Y ; Jego, P ; Bienvenu, B ; Berthier, S ; Mekinian, A ; Hachulla, E ; Launay, D

Arthritis research & therapy, 2019-04, Vol.21 (1), p.86-86, Article 86 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients
Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients
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Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients

Kumar, S K ; Dispenzieri, A ; Lacy, M Q ; Gertz, M A ; Buadi, F K ; Pandey, S ; Kapoor, P ; Dingli, D ; Hayman, S R ; Leung, N ; Lust, J ; McCurdy, A ; Russell, S J ; Zeldenrust, S R ; Kyle, R A ; Rajkumar, S V

Leukemia, 2014-05, Vol.28 (5), p.1122-1128 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
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Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Skrede, Ole-Johan ; De Raedt, Sepp ; Kleppe, Andreas ; Hveem, Tarjei S ; Liestøl, Knut ; Maddison, John ; Askautrud, Hanne A ; Pradhan, Manohar ; Nesheim, John Arne ; Albregtsen, Fritz ; Farstad, Inger Nina ; Domingo, Enric ; Church, David N ; Nesbakken, Arild ; Shepherd, Neil A ; Tomlinson, Ian ; Kerr, Rachel ; Novelli, Marco ; Kerr, David J ; Danielsen, Håvard E

The Lancet (British edition), 2020-02, Vol.395 (10221), p.350-360 [Periódico revisado por pares]

England: Elsevier Ltd

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5
International Validation of the Eighth Edition of the American Joint Committee on Cancer (AJCC) TNM Staging System in Patients With Resected Pancreatic Cancer
International Validation of the Eighth Edition of the American Joint Committee on Cancer (AJCC) TNM Staging System in Patients With Resected Pancreatic Cancer
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International Validation of the Eighth Edition of the American Joint Committee on Cancer (AJCC) TNM Staging System in Patients With Resected Pancreatic Cancer

van Roessel, Stijn ; Kasumova, Gyulnara G ; Verheij, Joanne ; Najarian, Robert M ; Maggino, Laura ; de Pastena, Matteo ; Malleo, Giuseppe ; Marchegiani, Giovanni ; Salvia, Roberto ; Ng, Sing Chau ; de Geus, Susanna W ; Lof, Sanne ; Giovinazzo, Francesco ; van Dam, Jacob L ; Kent, Tara S ; Busch, Olivier R ; van Eijck, Casper H ; Koerkamp, Bas Groot ; Abu Hilal, Mohammed ; Bassi, Claudio ; Tseng, Jennifer F ; Besselink, Marc G

Archives of surgery (Chicago. 1960), 2018-12, Vol.153 (12), p.e183617-e183617 [Periódico revisado por pares]

United States: American Medical Association

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6
Development and validation of a staging system for HPV-related oropharyngeal cancer by the International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S): a multicentre cohort study
Development and validation of a staging system for HPV-related oropharyngeal cancer by the International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S): a multicentre cohort study
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Development and validation of a staging system for HPV-related oropharyngeal cancer by the International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S): a multicentre cohort study

O'Sullivan, Brian, Prof ; Huang, Shao Hui, MD ; Su, Jie, MSc ; Garden, Adam S, Prof ; Sturgis, Erich M, Prof ; Dahlstrom, Kristina, PhD ; Lee, Nancy, Prof ; Riaz, Nadeem, MD ; Pei, Xin, PhD ; Koyfman, Shlomo A, MD ; Adelstein, David, Prof ; Burkey, Brian B, Prof ; Friborg, Jeppe, MD ; Kristensen, Claus A, MD ; Gothelf, Anita B, MD ; Hoebers, Frank, MD ; Kremer, Bernd, MD ; Speel, Ernst-Jan, Prof ; Bowles, Daniel W, MD ; Raben, David, Prof ; Karam, Sana D, MD ; Yu, Eugene, MD ; Xu, Wei, PhD

The lancet oncology, 2016-04, Vol.17 (4), p.440-451 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prognosis in esophageal squamous cell carcinoma
Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prognosis in esophageal squamous cell carcinoma
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Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prognosis in esophageal squamous cell carcinoma

Cui, Yongping ; Chen, Hongyan ; Xi, Ruibin ; Cui, Heyang ; Zhao, Yahui ; Xu, Enwei ; Yan, Ting ; Lu, Xiaomei ; Huang, Furong ; Kong, Pengzhou ; Li, Yang ; Zhu, Xiaolin ; Wang, Jiawei ; Zhu, Wenjie ; Wang, Jie ; Ma, Yanchun ; Zhou, Yong ; Guo, Shiping ; Zhang, Ling ; Liu, Yiqian ; Wang, Bin ; Xi, Yanfeng ; Sun, Ruifang ; Yu, Xiao ; Zhai, Yuanfang ; Wang, Fang ; Yang, Jian ; Yang, Bin ; Cheng, Caixia ; Liu, Jing ; Song, Bin ; Li, Hongyi ; Wang, Yi ; Zhang, Yingchun ; Cheng, Xiaolong ; Zhan, Qimin ; Li, Yanhong ; Liu, Zhihua

Cell research, 2020-10, Vol.30 (10), p.902-913 [Periódico revisado por pares]

England: Nature Publishing Group

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8
Logistic regression was as good as machine learning for predicting major chronic diseases
Logistic regression was as good as machine learning for predicting major chronic diseases
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Logistic regression was as good as machine learning for predicting major chronic diseases

Nusinovici, Simon ; Tham, Yih Chung ; Chak Yan, Marco Yu ; Wei Ting, Daniel Shu ; Li, Jialiang ; Sabanayagam, Charumathi ; Wong, Tien Yin ; Cheng, Ching-Yu

Journal of clinical epidemiology, 2020-06, Vol.122, p.56-69 [Periódico revisado por pares]

United States: Elsevier Inc

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9
Lung Microbiota Predict Clinical Outcomes in Critically Ill Patients
Lung Microbiota Predict Clinical Outcomes in Critically Ill Patients
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Lung Microbiota Predict Clinical Outcomes in Critically Ill Patients

Dickson, Robert P ; Schultz, Marcus J ; van der Poll, Tom ; Schouten, Laura R ; Falkowski, Nicole R ; Luth, Jenna E ; Sjoding, Michael W ; Brown, Christopher A ; Chanderraj, Rishi ; Huffnagle, Gary B ; Bos, Lieuwe D J

American journal of respiratory and critical care medicine, 2020-03, Vol.201 (5), p.555-563 [Periódico revisado por pares]

United States: American Thoracic Society

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10
Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study
Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study
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Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study

Bagshaw, Sean M ; Stelfox, H Thomas ; McDermid, Robert C ; Rolfson, Darryl B ; Tsuyuki, Ross T ; Baig, Nadia ; Artiuch, Barbara ; Ibrahim, Quazi ; Stollery, Daniel E ; Rokosh, Ella ; Majumdar, Sumit R

Canadian Medical Association journal (CMAJ), 2014-02, Vol.186 (2), p.E95-E102 [Periódico revisado por pares]

Canada: Joule Inc

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Deste Autor:

  1. Saraiva, M
  2. Jacob Filho, W

Neste Assunto:

  1. Aged
  2. Cohort Studies
  3. Cohort Studies
  4. Aged
  5. Humans

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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