Scores predict treatment failure

2011 ◽  
Vol 8 (3) ◽  
pp. 121-121
Author(s):  
Claire Greenhill
2019 ◽  
Author(s):  
Angela Richardson ◽  
David Mccarthy ◽  
Simon Menaker ◽  
Nagy Elsayyad ◽  
Christine Dinh ◽  
...  

2021 ◽  
pp. 219256822098227
Author(s):  
Max J. Scheyerer ◽  
Ulrich J. A. Spiegl ◽  
Sebastian Grueninger ◽  
Frank Hartmann ◽  
Sebastian Katscher ◽  
...  

Study Design: Systematic review. Objectives: Osteoporosis is one of the most common diseases of the elderly, whereby vertebral body fractures are in many cases the first manifestation. Even today, the consequences for patients are underestimated. Therefore, early identification of therapy failures is essential. In this context, the aim of the present systematic review was to evaluate the current literature with respect to clinical and radiographic findings that might predict treatment failure. Methods: We conducted a comprehensive, systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) checklist and algorithm. Results: After the literature search, 724 potentially eligible investigations were identified. In total, 24 studies with 3044 participants and a mean follow-up of 11 months (range 6-27.5 months) were included. Patient-specific risk factors were age >73 years, bone mineral density with a t-score <−2.95, BMI >23 and a modified frailty index >2.5. The following radiological and fracture-specific risk factors could be identified: involvement of the posterior wall, initial height loss, midportion type fracture, development of an intravertebral cleft, fracture at the thoracolumbar junction, fracture involvement of both endplates, different morphological types of fractures, and specific MRI findings. Further, a correlation between sagittal spinal imbalance and treatment failure could be demonstrated. Conclusion: In conclusion, this systematic review identified various factors that predict treatment failure in conservatively treated osteoporotic fractures. In these cases, additional treatment options and surgical treatment strategies should be considered in addition to follow-up examinations.


Blood ◽  
2017 ◽  
Vol 129 (12) ◽  
pp. 1685-1690 ◽  
Author(s):  
Paul Yeh ◽  
Michael Dickinson ◽  
Sarah Ftouni ◽  
Tane Hunter ◽  
Devbarna Sinha ◽  
...  

Key PointsCirculating tumor DNA can monitor disease and predict treatment failure by tracking driver mutations and karyotypic abnormalities in MDS.


Author(s):  
Ilce Ferreira da Silva ◽  
Ilce Ferreira da Silva ◽  
Rosalina Jorge Koifman ◽  
Vanessa Wallerstein M. Dantas ◽  
Rachel De Carvalho Silveira Fonseca ◽  
...  

AIDS ◽  
2001 ◽  
Vol 15 (9) ◽  
pp. 1193-1194 ◽  
Author(s):  
Catia Marzolini ◽  
Amalio Telenti ◽  
Laurent Decosterd ◽  
Jérôme Biollaz ◽  
Thierry Buclin

Blood ◽  
1989 ◽  
Vol 73 (7) ◽  
pp. 1963-1967 ◽  
Author(s):  
CH Pui ◽  
SC Raimondi ◽  
RK Dodge ◽  
GK Rivera ◽  
LA Fuchs ◽  
...  

Abstract Approximately one fourth of children with newly diagnosed acute lymphoblastic leukemia (ALL) have hyperdiploid (greater than 50 chromosomes) blasts and a relatively favorable prognosis. Nonetheless, a substantial proportion of these patients fail therapy. We studied 138 children (70 male, 68 female) with hyperdiploid greater than 50 ALL to assess initial clinical and cytogenetic features that might predict treatment failure. In 85 of these cases (62%), structural chromosomal abnormalities were also present; clinical and laboratory features in this group did not differ from those of the 53 cases with only numeric abnormalities. However, of the 28 failures seen at a median follow-up of 4 years, 22 occurred in cases with structural chromosomal abnormalities (P = .03 by Breslow test). In a multivariate analysis, only the presence of structural chromosomal abnormalities and male gender were independently associated with treatment failure. Structural chromosomal abnormalities in cases of ALL with greater than 50 chromosomes may define a biologically different form of leukemia characterized by increased likelihood of drug resistance.


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