A citation-based method for searching scientific literature

Paulo R Carvalho do Nascimento, Martin Bilodeau, Stéphane Poitras. Age Ageing 2021
Times Cited: 2







List of co-cited articles
1 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management.
E Dent, J E Morley, A J Cruz-Jentoft, H Arai, S B Kritchevsky, J Guralnik, J M Bauer, M Pahor, B C Clark, M Cesari,[...]. J Nutr Health Aging 2018
248
100

Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update.
Stany Perkisas, Sophie Bastijns, Stéphane Baudry, Jürgen Bauer, Charlotte Beaudart, David Beckwée, Alfonso Cruz-Jentoft, Jerzy Gasowski, Hans Hobbelen, Harriët Jager-Wittenaar,[...]. Eur Geriatr Med 2021
24
50

Pitfalls in the measurement of muscle mass: a need for a reference standard.
Fanny Buckinx, Francesco Landi, Matteo Cesari, Roger A Fielding, Marjolein Visser, Klaus Engelke, Stefania Maggi, Elaine Dennison, Nasser M Al-Daghri, Sophie Allepaerts,[...]. J Cachexia Sarcopenia Muscle 2018
277
50

Current practice in the diagnosis and management of sarcopenia and frailty - results from a UK-wide survey.
Natalie J Offord, Andrew Clegg, Gill Turner, Richard M Dodds, Avan A Sayer, Miles D Witham. J Frailty Sarcopenia Falls 2019
9
50

Assessment of Muscle Function and Physical Performance in Daily Clinical Practice : A position paper endorsed by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).
Charlotte Beaudart, Yves Rolland, Alfonso J Cruz-Jentoft, Jürgen M Bauer, Cornel Sieber, Cyrus Cooper, Nasser Al-Daghri, Islene Araujo de Carvalho, Ivan Bautmans, Roberto Bernabei,[...]. Calcif Tissue Int 2019
129
50

Critical appraisal of definitions and diagnostic criteria for sarcopenic obesity based on a systematic review.
Lorenzo M Donini, Luca Busetto, Juergen M Bauer, Stephan Bischoff, Yves Boirie, Tommy Cederholm, Alfonso J Cruz-Jentoft, Dror Dicker, Gema Frühbeck, Andrea Giustina,[...]. Clin Nutr 2020
76
50

GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community.
T Cederholm, G L Jensen, M I T D Correia, M C Gonzalez, R Fukushima, T Higashiguchi, G Baptista, R Barazzoni, R Blaauw, A Coats,[...]. Clin Nutr 2019
593
50

Landscape of Sarcopenia Research (1989‒2018): A Bibliometric Analysis.
Ming Yang, Lingling Tan, Weimin Li. J Am Med Dir Assoc 2020
9
50


Defining sarcopenia: some caveats and challenges.
Dolores Sanchez-Rodriguez, Ester Marco, Alfonso J Cruz-Jentoft. Curr Opin Clin Nutr Metab Care 2020
10
50

Sarcopenia: revised European consensus on definition and diagnosis.
Alfonso J Cruz-Jentoft, Gülistan Bahat, Jürgen Bauer, Yves Boirie, Olivier Bruyère, Tommy Cederholm, Cyrus Cooper, Francesco Landi, Yves Rolland, Avan Aihie Sayer,[...]. Age Ageing 2019
50

Muscle Mass Assessed by the D3-Creatine Dilution Method and Incident Self-reported Disability and Mortality in a Prospective Observational Study of Community-Dwelling Older Men.
Peggy M Cawthon, Terri Blackwell, Steven R Cummings, Eric S Orwoll, Kate A Duchowny, Deborah M Kado, Katie L Stone, Kristine E Ensrud, Jane A Cauley, William J Evans. J Gerontol A Biol Sci Med Sci 2021
26
50


Automated segmentation of 2D low-dose CT images of the psoas-major muscle using deep convolutional neural networks.
Fumio Hashimoto, Akihiro Kakimoto, Nozomi Ota, Shigeru Ito, Sadahiko Nishizawa. Radiol Phys Technol 2019
15
50

Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.
Sebastian Nowak, Anton Faron, Julian A Luetkens, Helena L Geißler, Michael Praktiknjo, Wolfgang Block, Daniel Thomas, Alois M Sprinkart. Invest Radiol 2020
13
50


Sarcopenia and Postoperative Complication Risk in Gastrointestinal Surgical Oncology: A Meta-analysis.
Casper Simonsen, Pieter de Heer, Eik D Bjerre, Charlotte Suetta, Pernille Hojman, Bente K Pedersen, Lars B Svendsen, Jesper F Christensen. Ann Surg 2018
124
50

Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image.
Wei Shen, Mark Punyanitya, ZiMian Wang, Dympna Gallagher, Marie-Pierre St-Onge, Jeanine Albu, Steven B Heymsfield, Stanley Heshka. J Appl Physiol (1985) 2004
927
50


Intra- and interobserver variability in skeletal muscle measurements using computed tomography images.
Joanna E Perthen, Tamir Ali, David McCulloch, Maziar Navidi, Alexander W Phillips, Rhona C F Sinclair, S Michael Griffin, Alastair Greystoke, George Petrides. Eur J Radiol 2018
18
50

Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM).
Liping Si, Jingyu Zhong, Jiayu Huo, Kai Xuan, Zixu Zhuang, Yangfan Hu, Qian Wang, Huan Zhang, Weiwu Yao. Eur Radiol 2022
2
50

Artificial intelligence-aided CT segmentation for body composition analysis: a validation study.
Pablo Borrelli, Reza Kaboteh, Olof Enqvist, Johannes Ulén, Elin Trägårdh, Henrik Kjölhede, Lars Edenbrandt. Eur Radiol Exp 2021
6
50

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
875
50

Age-related changes in the structure and function of skeletal muscles.
John A Faulkner, Lisa M Larkin, Dennis R Claflin, Susan V Brooks. Clin Exp Pharmacol Physiol 2007
347
50

A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT.
Joseph E Burns, Jianhua Yao, Didier Chalhoub, Joseph J Chen, Ronald M Summers. Acad Radiol 2020
44
50

Managing Incidental Findings on Thoracic CT: Mediastinal and Cardiovascular Findings. A White Paper of the ACR Incidental Findings Committee.
Reginald F Munden, Brett W Carter, Caroline Chiles, Heber MacMahon, William C Black, Jane P Ko, H Page McAdams, Santiago E Rossi, Ann N Leung, Phillip M Boiselle,[...]. J Am Coll Radiol 2018
43
50

Sarcopenia: definition, epidemiology, and pathophysiology.
Tae Nyun Kim, Kyung Mook Choi. J Bone Metab 2013
203
50

Influence of body composition profile on outcomes following colorectal cancer surgery.
G Malietzis, A C Currie, T Athanasiou, N Johns, N Anyamene, R Glynne-Jones, R H Kennedy, K C H Fearon, J T Jenkins. Br J Surg 2016
142
50

Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis.
Setareh Dabiri, Karteek Popuri, Elizabeth M Cespedes Feliciano, Bette J Caan, Vickie E Baracos, Mirza Faisal Beg. Comput Med Imaging Graph 2019
29
50

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Yunzhi Wang, Yuchen Qiu, Theresa Thai, Kathleen Moore, Hong Liu, Bin Zheng. Comput Methods Programs Biomed 2017
47
50

L3 skeletal muscle index (L3SMI) is a surrogate marker of sarcopenia and frailty in non-small cell lung cancer patients.
D Portal, L Hofstetter, I Eshed, C Dan-Lantsman, T Sella, D Urban, A Onn, J Bar, G Segal. Cancer Manag Res 2019
30
50

Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment.
Robert Hemke, Colleen G Buckless, Andrew Tsao, Benjamin Wang, Martin Torriani. Skeletal Radiol 2020
28
50

A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images.
Kaushalya C Amarasinghe, Jamie Lopes, Julian Beraldo, Nicole Kiss, Nicholas Bucknell, Sarah Everitt, Price Jackson, Cassandra Litchfield, Linda Denehy, Benjamin J Blyth,[...]. Front Oncol 2021
7
50

Incidental findings on imaging.
Thomas C Booth. BMJ 2018
9
50

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
Alexander D Weston, Panagiotis Korfiatis, Timothy L Kline, Kenneth A Philbrick, Petro Kostandy, Tomas Sakinis, Motokazu Sugimoto, Naoki Takahashi, Bradley J Erickson. Radiology 2019
112
50

Measuring inconsistency in meta-analyses.
Julian P T Higgins, Simon G Thompson, Jonathan J Deeks, Douglas G Altman. BMJ 2003
50

Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Michael T Paris, Puneeta Tandon, Daren K Heyland, Helena Furberg, Tahira Premji, Gavin Low, Marina Mourtzakis. Clin Nutr 2020
20
50

Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.
Ryan Barnard, Josh Tan, Brandon Roller, Caroline Chiles, Ashley A Weaver, Robert D Boutin, Stephen B Kritchevsky, Leon Lenchik. Acad Radiol 2019
20
50


Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment.
P Blanc-Durand, J-B Schiratti, K Schutte, P Jehanno, P Herent, F Pigneur, O Lucidarme, Y Benaceur, A Sadate, A Luciani,[...]. Diagn Interv Imaging 2020
16
50


Use of artificial intelligence in the imaging of sarcopenia: A narrative review of current status and perspectives.
Miłosz Rozynek, Iwona Kucybała, Andrzej Urbanik, Wadim Wojciechowski. Nutrition 2021
5
50

Sarcopenia Is Associated with Mortality in Adults: A Systematic Review and Meta-Analysis.
Jane Xu, Ching S Wan, Kiriakos Ktoris, Esmee M Reijnierse, Andrea B Maier. Gerontology 2022
12
50

Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People.
Alfonso J Cruz-Jentoft, Jean Pierre Baeyens, Jürgen M Bauer, Yves Boirie, Tommy Cederholm, Francesco Landi, Finbarr C Martin, Jean-Pierre Michel, Yves Rolland, Stéphane M Schneider,[...]. Age Ageing 2010
50

Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Leanne L G C Ackermans, Leroy Volmer, Leonard Wee, Ralph Brecheisen, Patricia Sánchez-González, Alexander P Seiffert, Enrique J Gómez, Andre Dekker, Jan A Ten Bosch, Steven M W Olde Damink,[...]. Sensors (Basel) 2021
5
50

Sarcopenia: revised European consensus on definition and diagnosis.
Alfonso J Cruz-Jentoft, Gϋlistan Bahat, Jϋrgen Bauer, Yves Boirie, Olivier Bruyère, Tommy Cederholm, Cyrus Cooper, Francesco Landi, Yves Rolland, Avan Aihie Sayer,[...]. Age Ageing 2019
417
50


The evolution of body composition in oncology-epidemiology, clinical trials, and the future of patient care: facts and numbers.
Justin C Brown, Elizabeth M Cespedes Feliciano, Bette J Caan. J Cachexia Sarcopenia Muscle 2018
64
50

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.
Matthew J Page, Joanne E McKenzie, Patrick M Bossuyt, Isabelle Boutron, Tammy C Hoffmann, Cynthia D Mulrow, Larissa Shamseer, Jennifer M Tetzlaff, Elie A Akl, Sue E Brennan,[...]. BMJ 2021
50

Diagnostic Criteria and Clinical Outcomes in Sarcopenia Research: A Literature Review.
Alex Han, Steven L Bokshan, Stephen E Marcaccio, J Mason DePasse, Alan H Daniels. J Clin Med 2018
39
50


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.