Evidence map›Paper›PMID 40217141›Full record

SynthesisThe journal of headache and pain2025

Biomarkers in headaches as a potential solution to simplify differential diagnosis of primary headache disorders: a systematic review.

Olga Grodzka, Wiktor Łagowski, Ceren Eyileten, Izabela Domitrz

Abstract readSystematic Review
In one paragraph

Synthesis in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Olga GrodzkaDepartment of Neurology, Faculty of Medicine and Dentistry, Medical University of Warsaw, Ceglowska 80, Warsaw, 01-809, Poland. olga.grodzka@wum.edu.pl.
Wiktor ŁagowskiDepartment of Neurology, Faculty of Medicine and Dentistry, Medical University of Warsaw, Ceglowska 80, Warsaw, 01-809, Poland.
Ceren EyiletenDepartment of Experimental and Clinical Pharmacology, Center for Preclinical Research and Technology CEPT, Medical University of Warsaw, Warsaw, 02-097, Poland.
Izabela DomitrzDepartment of Neurology, Faculty of Medicine and Dentistry, Medical University of Warsaw, Ceglowska 80, Warsaw, 01-809, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the International Classification of Headache Disorders, 3rd edition (ICHD-3), headache disorders can be divided into two main groups: primary, which are not caused by any other disease, and secondary, which are symptomatic of underlying disease. Differentiating between both groups is crucial for the patient's prognosis. The diagnosis of primary headache disorders relies solely on official clinical criteria, with no additional diagnostic tools available. Therefore, they usually remain underdiagnosed, decreasing the patient's quality of life.

methodsThis systematic review aimed to analyse the available literature on the topic of biomarkers in the differentiation between different types of headaches. To be included, a primary study had to cover the abovementioned topic. Studies comparing one type of headache to healthy controls were excluded since the review focused on differential diagnosis. Articles to be considered had to describe original research and be written in English or Polish. No publication year limits were applied. A selection process was performed between October 19th, 2024, and January 1st, 2025, through six databases (PubMed, Embase, Scopus, Cochrane, Web of Science, Medline Ultimate), according to the PRISMA 2020. The risk of bias was assessed accordingly using the Prediction Model Risk of Bias Assessment Tool (PROBAST), and data synthesis was performed narratively. The review was registered in PROSPERO.

findingsThe findings from 21 included studies (with a wide range of publication years between 1990 and 2023) demonstrated several biomarkers, mainly comparing migraine to other primary headaches, tension-type headaches and cluster headaches, and some secondary headaches: medication-overuse headaches and post-traumatic headaches. The main types of biomarkers were blood biomarkers and imaging biomarkers. Among the former, molecules such as magnesium and calcitonin gene-related peptide (CGRP) or inflammatory markers could be found. The latter group focused mainly on assessing volumes or functional connections in brain magnetic resonance imaging and seem to have a significant impact in the nearest future. Saliva analyses were covered only by two research groups, showing the putative role of magnesium and CGRP. Similarly, two research groups described evoked potentials' value only in the paediatric population.

conclusionsThere is a clear gap in the literature regarding biomarkers for the differential diagnosis of headaches. However, an analysis of the most recent studies suggests that imaging biomarkers are the most promising group since they have gained the most attention in the past few years. Finding high-value biomarkers can simplify differential diagnosis of headaches, especially when clinical presentation is atypical. Nevertheless, more research on biomarkers of all types is highly needed. PROSPERO: Registration ID: CRD42024603632.

Indexed as

BiomarkersHeadache Disorders, PrimaryDiagnosis, DifferentialHumansBiomarkersBiomarkerCluster headachesDifferential diagnosisMigrainePrimary headache disordersTension-type headachesTrigeminal autonomic cephalalgias

Identifiers

PMID40217141
PMCPMC11987472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.