scholarly journals Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids

2015 ◽  
Vol 26 (8) ◽  
pp. 1604-1620 ◽  
Author(s):  
M.E. Caplin ◽  
E. Baudin ◽  
P. Ferolla ◽  
P. Filosso ◽  
M. Garcia-Yuste ◽  
...  
Keyword(s):  
Neuroendocrine Tumor ◽  
Best Practice ◽  
Carcinoid Tumors ◽  
Expert Consensus ◽  
Pulmonary Carcinoids

scholarly journals A guide for evaluation of online learning in medical education: a qualitative reflective analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nourhan F. Wasfy ◽  
Enjy Abouzeid ◽  
Asmaa Abdel Nasser ◽  
Samar A. Ahmed ◽  
Ilham Youssry ◽  
...  
Keyword(s):  
Medical Education ◽  
Online Learning ◽  
Best Practice ◽  
Online Courses ◽  
Learning Experience ◽  
Organizational Capacity ◽  
Expert Consensus ◽  
Educational Effectiveness ◽  
Education Community ◽  
Rapid Shift

Abstract Background With the strike of Covid-19, an unprecedented rapid shift to remote learning happened worldwide with a paradigm shift to online learning from an institutional adjuvant luxury package and learner choice into a forced solo choice. This raises the question of quality assurance. While some groups have already established standards for online courses, teaching and programs yet very little information is included on methodology of their development and very little emphasis is placed on the online learning experience. Nevertheless, no work has been done specifically for medical education institutions. Aim To develop a set of descriptors for best practice in online learning in medical education utilizing existing expertise and needs. Methods This work utilizes a qualitative multistage approach to identify the descriptors of best practice in online learning starting with a question guided focus group, thematic analysis, Delphi technique and an expert consensus session done simultaneously for triangulation. This was done involving 32 institution in 19 countries. Results This materialized into the development of a set of standards, indicators, and development of a checklist for each standard area. The standard areas identified were organizational capacity, educational effectiveness, and human resources each of which listed a number of standards. Expert consensus sessions identified the need for qualification of data and thus the development of indicators for best practice. Conclusion Standards are needed for online learning experience and their development and redesign is situational and needs to be enhanced methodologically in axes that are pertaining to the needs of the education community. Taking such axes into consideration by educators and institutions will lead to planning and implementing successful online learning activities, while taking them into consideration by the evaluators will help them conduct comprehensive audits and provide stakeholders with highly informative evaluation reports.

scholarly journals P1.12-06 Pulmonary Neuroendocrine (Carcinoid) Tumors: CommNETs/NANETS Endorsement and Update of the ENETs Best Practice Consensus

2018 ◽  
Vol 13 (10) ◽  
pp. S575 ◽  
Author(s):  
S. Singh ◽  
E. Bergsland ◽  
C. Card ◽  
T. Hope ◽  
P. Kunz ◽  
...  
Keyword(s):  
Best Practice ◽  
Carcinoid Tumors

scholarly journals Recommendations for musculoskeletal ultrasonography by rheumatologists: Setting global standards for best practice by expert consensus

2005 ◽  
Vol 53 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Andrew K. Brown ◽  
Philip J. O'Connor ◽  
Trudie E. Roberts ◽  
Richard J. Wakefield ◽  
Zunaid Karim ◽  
...  
Keyword(s):  
Best Practice ◽  
Expert Consensus ◽  
Global Standards ◽  
Musculoskeletal Ultrasonography

scholarly journals A Guide to Best Practice in Online Learning in Medical Education: A Middle East Qualitative Reflective Analysis

2021 ◽  
Author(s):  
Nourhan F. Wasfy ◽  
Enjy Abouzeid ◽  
Asmaa Abdel Nasser ◽  
Samar A. Ahmed ◽  
Ilham Youssry ◽  
...  
Keyword(s):  
Medical Education ◽  
Online Learning ◽  
Best Practice ◽  
Online Courses ◽  
Learning Experience ◽  
Organizational Capacity ◽  
Expert Consensus ◽  
Educational Effectiveness ◽  
Education Community ◽  
Rapid Shift

Abstract Background: With the strike of Covid-19, an unprecedented rapid shift to remote learning happened worldwide with a paradigm shift to online learning from an institutional adjuvant luxury package and learner choice into a forced solo choice. This sheds the light onto quality assurance. While some groups have already established standards for online courses, teaching and programs yet very little information is included on methodology of their development and very little emphasis is placed on the online learning experience. Nevertheless, no work has been done specifically for medical education institutions.To develop a set of descriptors for best practice in online learning in medical education utilizing existing expertise and needs.Methods: This work utilizes a qualitative multistage approach to identify the descriptors of best practice in online learning starting with a question guided focus group, thematic analysis, Delphi technique and an expert consensus session done simultaneously for triangulationResults: This materialized into the development of a set of standards, indicators, and development of a checklist for each standard area. The standard areas identified were organizational capacity, educational effectiveness, and human resources each of which listed a number of standards. Expert consensus sessions identified the need for qualification of data and thus the development of indicators for best practice.Conclusion: Standards are needed for online learning experience and their development and redesign is situational and needs to be enhanced methodologically in axes that are pertaining to the needs of the education community. Taking such axes into consideration by educators and institutions will lead to planning and implementing successful online learning activities, while taking them into consideration by the evaluators will help them conduct comprehensive audits and provide stakeholders with highly informative evaluation reports.

Differential expression of biomarkers in gastrointestinal versus pulmonary carcinoid tumors.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e13571-e13571
Author(s):  
Erika Fong ◽  
Gilbert Peterson ◽  
Gargi D. Basu ◽  
Richard Blevins ◽  
Raheela Ashfaq
Keyword(s):  
Differentially Express ◽  
Treatment Options ◽  
Chemotherapeutic Agents ◽  
Primary Site ◽  
Carcinoid Tumors ◽  
Unknown Primary ◽  
Computer Search ◽  
Pulmonary Carcinoid ◽  
Pulmonary System ◽  
Pulmonary Carcinoids

e13571 Background: Carcinoid tumors are endocrine neoplasms that commonly arise in the GI and pulmonary system. About 12,000 cases of carcinoid tumor are diagnosed a year with a 5-year survival rate of 67.2% .The majority of the cases present with advance disease with limited treatment options,therefore evaluation of predictive markers for chemotherapeutic agents is highly desirable. We studied the biomarker expression in carcinoid tumors and evaluated any differences based on site of origin. Methods: By computer search we retrospectively identified all cases submitted to Caris Life Sciences with the diagnosis of “carcinoid”. The cases were classified by primary site into three groups: Pulmonary, GI tract (including esophagus, stomach, small bowel, colon, rectum, appendix and pancreas) and miscellaneous. Biomarker expression performed by IHC and scored semi quantitatively by a pathologist for SPARC mono, SPARC poly, Her2, TOPO2, TOPO1, PGP, MRP1, PTEN, TS, ERCC1, RRM1,MGMT, C-KIT, ER, PR and AR and SSTR2 and SSTR5 analysis by DNA Microarray were compared between the groups. Results: 146 carcinoid tumors were interrogated for biomarkers, 33 pulmonary, 97 GI and 16 miscellaneous (mediastinum, thymus, cervix, breast and unknown primary site). Due to small number of tumors in the miscellaneous category, analysis was restricted to pulmonary and GI carcinoid tumors only. Based on our analysis the pulmonary carcinoids differentially express Topo2, PGP, MGMT, CKIT and PR, while the GI carcinoids differentially express Topo1, RRM1 and ER and SSTR2 and SSTR5. There is equivalent expression of SPARC, MRP1, PTEN, TS, ERCC1 at both sites . All pulmonary and GI carcinoid tumors were negative for Her2. Conclusions: Based on this study it appears that there are differences in biomarker expression in GI and Pulmonary Carcinoid tumors. Treatment with irinotecan, gemcitabine, anti-estrogens and Octreotide may be more relevant in GI carcinoids based on molecular markers present while targets associated with response to anthracyclines, temozolomide, imatinib may be more commonly expressed in pulmonary carcinoid tumors. Further studies are needed to understand the underlying biology and molecular drivers in this group of tumors.

A Ki-67 proliferation index cutoff value of 1% to predict 5-year RFS and OS in patients with pulmonary carcinoid tumors.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 11119-11119
Author(s):  
Thanyanan Reungwetwattana ◽  
Sumithra J. Mandrekar ◽  
Trynda Kroneman ◽  
Nathan R. Foster ◽  
Marie-Christine Aubry ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Cox Proportional Hazards Model ◽  
Carcinoid Tumors ◽  
Smoking History ◽  
Proliferation Index ◽  
Ki 67 ◽  
Pulmonary Carcinoid ◽  
Cutoff Value ◽  
Clinical Variables ◽  
Pulmonary Carcinoids

11119 Background: Evaluation of prognostic factors in carcinoid tumors of the lung is limited due to the rarity of disease. This study assessed Ki-67 expression and other clinical variables as prognostic factors in 262 patients. Methods: A systematic search of Mayo Clinic lung cancer epidemiology and tumor registry databases from 1997 to 2009 identified 449 consecutive patients, with 262 having available tissue blocks [40 atypical carcinoids (AC) and 222 typical carcinoids (TC)]. Clinical data were collected by chart review. Tissue blocks were reviewed by 1/3 pathologists using WHO criteria. Tumors were tested for the Ki-67 index using digital image analysis (tumor tracing) by two operators. The association and predictive value of the factors with recurrence-free and overall survival (RFS and OS) were explored using univariable Cox proportional Hazards model and concordance (c) index. Results: Age, stage, smoking history, lymph node (LN) involvement and Ki-67 index were significant prognostic factors for RFS and OS. Median follow-up on alive-patients is 5 years (range: 0.006-5). Median percentage of Ki-67 index of AC and TC were 1.61% and 0.56% (P<0.0001), respectively. Patients with Ki-67 ≥ 1% had significantly worse RFS (HR=3.69, P<0.0001) and OS (HR=3.69, P=0.0007) compared with Ki-67 < 1% group. The c-index of Ki-67 (0.65) was comparable to the pathologic distinction between AC and TC (0.62 for original diagnosis and 0.63 for central-reviewed diagnosis). Conclusions: Ki-67 index cutoff value of 1% is a valuable prognostic biomarker for pulmonary carcinoids based on this large cohort. Our data also provide strong evidence for clinical variables such as age, stage, smoking history, and LN involvement as clinical prognostic factors in pulmonary carcinoids. A prognostic calculator incorporating Ki-67 and clinical variables is under development. [Table: see text]

Sign in / Sign up

Export Citation Format

Share Document