Related Experiment Video
Updated: Feb 7, 2026
07:05
Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
Published on: February 15, 2022
3.0K
Myelofibrosis Treatment Algorithm 2018.
Ayalew Tefferi1, Paola Guglielmelli2, Animesh Pardanani3
1Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA. tefferi.ayalew@mayo.edu.
Blood Cancer Journal
|August 2, 2018
Summary
Two new prognostic systems, GIPSS and MIPSS70+ v2.0, aid in primary myelofibrosis (PMF) management. GIPSS uses genetic markers, while MIPSS70+ v2.0 integrates genetic and clinical factors for tailored treatment decisions.
Area of Science:
- Hematology
- Oncology
- Medical Informatics
Background:
- Primary myelofibrosis (PMF) requires accurate prognostication for effective patient management.
- Existing prognostic models vary in complexity and data requirements.
Purpose of the Study:
- To introduce and compare two novel prognostic systems for PMF: GIPSS and MIPSS70+ version 2.0.
- To evaluate their utility in guiding treatment decisions for PMF patients.
Main Methods:
- GIPSS (Genetically Inspired Prognostic Scoring System) utilizes genetic markers (mutations, karyotype).
- MIPSS70+ version 2.0 incorporates mutations, clinical factors, cytogenetic risk, and adjusted hemoglobin thresholds.
- Both systems feature distinct risk categories and utilize online score calculators.
Main Results:
- GIPSS offers a simpler tool for identifying high-risk disease for stem cell transplant or low-risk disease for observation.
- MIPSS70+ version 2.0 provides a more comprehensive assessment, particularly when cytogenetic information is available.
- MIPSS70 is useful when cytogenetic data is absent.
Conclusions:
- A step-wise prognostication approach, starting with GIPSS and followed by MIPSS70+ version 2.0, is favored.
- These systems enhance personalized treatment strategies for primary myelofibrosis patients.
- Accurate prognostication is crucial for optimizing therapeutic interventions in PMF.
More Related Videos
Related Concept Videos
01:12Trial and Error and Algorithm
424
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
424
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
319
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
319
01:27Open Angle Glaucoma: Treatment
1.0K
In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
Drugs such as carbonic anhydrase inhibitors, α2- and...
1.0K
02:56Treatment Resistant Cancers
3.8K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.8K
01:24Parkinson's Disease: Treatment
1.2K
Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
1.2K
01:22Alzheimer's Disease: Treatment
963
Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
963