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Connection

Gareth Morgan to Remission Induction

This is a "connection" page, showing publications Gareth Morgan has written about Remission Induction.

 
Connection Strength
 
 
 
0.578
 
  1. Boyle EM, Rosenthal A, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Davies FE, Walker BA, van Rhee F, Morgan GJ. High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br J Haematol. 2021 10; 195(2):283-286.
    View in: PubMed
    Score: 0.164
  2. Brioli A, Giles H, Pawlyn C, Campbell JP, Kaiser MF, Melchor L, Jackson GH, Gregory WM, Owen RG, Child JA, Davies FE, Cavo M, Drayson MT, Morgan GJ. Serum free immunoglobulin light chain evaluation as a marker of impact from intraclonal heterogeneity on myeloma outcome. Blood. 2014 May 29; 123(22):3414-9.
    View in: PubMed
    Score: 0.100
  3. Davies FE, Wu P, Jenner M, Srikanth M, Saso R, Morgan GJ. The combination of cyclophosphamide, velcade and dexamethasone induces high response rates with comparable toxicity to velcade alone and velcade plus dexamethasone. Haematologica. 2007 Aug; 92(8):1149-50.
    View in: PubMed
    Score: 0.063
  4. Alvares CL, Davies FE, Horton C, Patel G, Powles R, Sirohi B, Zuha R, Gatt A, Saso R, Treleaven JG, Dearden CE, Potter MN, Ethell ME, Morgan GJ. Long-term outcomes of previously untreated myeloma patients: responses to induction chemotherapy and high-dose melphalan incorporated within a risk stratification model can help to direct the use of novel treatments. Br J Haematol. 2005 Jun; 129(5):607-14.
    View in: PubMed
    Score: 0.054
  5. Rawstron AC, Davies FE, DasGupta R, Ashcroft AJ, Patmore R, Drayson MT, Owen RG, Jack AS, Child JA, Morgan GJ. Flow cytometric disease monitoring in multiple myeloma: the relationship between normal and neoplastic plasma cells predicts outcome after transplantation. Blood. 2002 Nov 01; 100(9):3095-100.
    View in: PubMed
    Score: 0.045
  6. Jackson GH, Pawlyn C, Cairns DA, Striha A, Collett C, Waterhouse A, Jones JR, Wilson J, Taylor C, Kishore B, Garg M, Williams CD, Karunanithi K, Lindsay J, Jenner MW, Cook G, Russell NH, Drayson MT, Kaiser MF, Owen RG, Gregory WM, Davies FE, Morgan GJ. Optimising the value of immunomodulatory drugs during induction and maintenance in transplant ineligible patients with newly diagnosed multiple myeloma: results from Myeloma XI, a multicentre, open-label, randomised, Phase III trial. Br J Haematol. 2021 03; 192(5):853-868.
    View in: PubMed
    Score: 0.038
  7. Jones JR, Weinhold N, Ashby C, Walker BA, Wardell C, Pawlyn C, Rasche L, Melchor L, Cairns DA, Gregory WM, Johnson D, Begum DB, Ellis S, Sherborne AL, Cook G, Kaiser MF, Drayson MT, Owen RG, Jackson GH, Davies FE, Greaves M, Morgan GJ. Clonal evolution in myeloma: the impact of maintenance lenalidomide and depth of response on the genetics and sub-clonal structure of relapsed disease in uniformly treated newly diagnosed patients. Haematologica. 2019 07; 104(7):1440-1450.
    View in: PubMed
    Score: 0.035
  8. de Tute RM, Rawstron AC, Gregory WM, Child JA, Davies FE, Bell SE, Cook G, Szubert AJ, Drayson MT, Jackson GH, Morgan GJ, Owen RG. Minimal residual disease following autologous stem cell transplant in myeloma: impact on outcome is independent of induction regimen. Haematologica. 2016 Feb; 101(2):e69-71.
    View in: PubMed
    Score: 0.028
  9. Rawstron AC, Gregory WM, de Tute RM, Davies FE, Bell SE, Drayson MT, Cook G, Jackson GH, Morgan GJ, Child JA, Owen RG. Minimal residual disease in myeloma by flow cytometry: independent prediction of survival benefit per log reduction. Blood. 2015 Mar 19; 125(12):1932-5.
    View in: PubMed
    Score: 0.026
  10. Roldan S, Pieles G, Caputo M, Morgan G, Stoica S, Parry A. Tricuspid atresia with truncus arteriosus: successful surgical treatment. Ann Thorac Surg. 2014 Aug; 98(2):721-3.
    View in: PubMed
    Score: 0.025
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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