The tension headache component of chronic daily headache
Abstract
Chronic daily headache (CDH) is an overarching term that includes multiple types of frequent primary headaches that are not trigeminal-autonomic cephalgias. The components of typical CDH can be divided into a more severe or "big" headache and a less severe or "little" headache. The big headaches tend to have features of migraine while the little headaches have features of tension-type headache (TTH). Whether this represents a spectrum or continuum or whether it is the superimposition of two unique headache entities is open to debate. For subjects with big and little headache, the concept that the TTH component is part of a spectrum seems likely. Subjects with only TTH and no migrainous component seem to represent a different entity, pure chronic TTH. These patients have a daily moderate headache that is poorly responsive to current therapies and appears to be a different TTH than the migraine tension type of CDH. The TTH component of CDH may represent multiple subdivisions of TTH.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.