| Title |
Biological correlates of migraine and cluster headaches: an overview of their potential use in diagnosis and treatment
|
|---|---|
| Published in |
Pragmatic and Observational Research, December 2010
|
| DOI | 10.2147/por.s13363 |
| Pubmed ID | |
| Authors |
Aron D Mosnaim, Javier Puente, Marion E Wolf |
| Abstract |
Current diagnostic criteria for headaches are based on the International Classification for Headache Disorders, second edition, which is largely built on data obtained from clinical examinations and patients' medical histories. Despite decades of vigorous basic and clinical research, we still lack reliable clinical laboratory diagnostic markers for headaches, which clearly obstructs the physician's ability to optimize and follow the patient's response to treatment protocols as well as holds back the discovery and implementation of new therapeutic modalities. In this paper, we review and discuss current efforts to identify and characterize biochemical and immunological changes in biological fluids and tissue that may be specifically associated with the etiology and/or pathophysiology of migraine and cluster headaches; we also discuss some of the recent genetic findings and ion channel modulation studies that may help to distinguish among various headache populations. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Student > Doctoral Student | 2 | 33% |
| Lecturer | 1 | 17% |
| Lecturer > Senior Lecturer | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 67% |
| Nursing and Health Professions | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 March 2014.
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#8,689,826
of 25,748,735 outputs
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#1
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#58,353
of 192,719 outputs
Outputs of similar age from Pragmatic and Observational Research
#1
of 1 outputs
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