Degenerative Disc Disease (DDD) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032


 Degenerative intervertebral disc disease (DDD) is an age-related condition contributing to low back pain. DDD impairs the functional capacity of intervertebral discs, rendering them incapable of bearing physiological loads. This leads to damage to the structural integrity of the discs and the formation of disc herniation, osteophytes, and vertebral micro-fractures. The precise pathogenesis of DDD and its relationship with environmental and genetic factors are poorly understood. However, disc degeneration is strongly associated with occupational activities involving heavy physical loading. Common symptoms indicating that degenerative disc disease may cause neck pain include neck pain, pain radiating to the shoulder blades or arms, numbness, tingling, and occasional difficulties with hand dexterity. Occupational risk factors, such as prolonged abnormal postures, bending, vibration, twisting, sitting, and heavy lifting, are suspected to be linked to disc degeneration and herniation. Degenerative disc disease can also result in back or leg pain, functional issues such as tingling or numbness in the legs or buttocks, or difficulty walking. The vitamin D receptor (VDR), a nuclear steroid hormone receptor family member, is believed to play a crucial role in normal bone mineralization and remodeling. Various disorders, including osteoporosis, osteoarthritis, and DDD, have been associated with gene polymorphisms of the VDR. Disc degeneration is classified with standard criteria such as the Thompson Grading Scale. The scale has five levels, ranging from grade 1 (not degenerated) to grade 5 (severely degenerated). In 2001, a five-level grading scale, the Pfirrmann classification, was proposed for evaluating disc degeneration based on T2-weighted images. According to this classification, grade I discs have a uniformly high signal in the nucleus on T2-weighted images, grade II discs show a central horizontal line of low signal intensity on sagittal images, grade III discs display high intensity in the central part of the nucleus with lower intensity in the peripheral regions, grade IV discs exhibit low signal intensity centrally and blurred distinction between the nucleus and annulus, and grade V discs show homogeneous low signal with no differentiation between the nucleus and annulus.

·       Approximately 40% of adults over 40 have at least one degenerated vertebral disc; by the age of 80, this percentage increases to 80%.

Thelansis’s “Degenerative Disc Disease (DDD) Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032" covers disease overview, epidemiology, drug utilization, prescription share analysis, competitive landscape, clinical practice, regulatory landscape, patient share, market uptake, market forecast, and key market insights under the potential Degenerative Disc Disease (DDD) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

KOLs insights of Degenerative Disc Disease (DDD) across 8 MM market from the centre of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.

Degenerative Disc Disease (DDD) Market Forecast Patient Based Forecast Model (MS. Excel Based Automated Dashboard), which Data Inputs with sourcing, Market Event, and Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.

Thelansis Competitive Intelligence (CI) practice has been established based on a deep understanding of the pharma/biotech business environment to provide an optimized support system to all levels of the decision-making process. It enables business leaders in forward-thinking and proactive decision-making. Thelansis supports scientific and commercial teams in seamless CI support by creating an AI/ ML-based technology-driven platform that manages the data flow from primary and secondary sources.

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