Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2025 Apr 9;26(1):71.
doi: 10.1186/s10194-025-02001-7.

Cluster headache diagnostic delay and its predictors: a systematic review with a meta-analysis

Affiliations
Meta-Analysis

Cluster headache diagnostic delay and its predictors: a systematic review with a meta-analysis

E K Van Obberghen et al. J Headache Pain. .

Abstract

Background: Despite its characteristic clinical expression, cluster headache (CH) often remains unrecognized in clinical practice, with patients suffering from CH having to wait a long time before receiving a correct diagnosis and benefit from appropriate treatment.

Methods: This work is a systematic review of data accessible through PubMed and published up to December 2024, focusing on the delay in CH diagnosis and its predictors. A meta-analysis was performed to estimate the mean CH diagnostic delay using the inverse of variance as the weight. A qualitative analysis was performed to identify predictors of this delay.

Results: Among the 108 studies identified, 22 and 11 were selected for the qualitative analysis and meta-analysis respectively. These selected studies included a total of 8654 subjects (range 23-1604). This whole population was composed of 6383 men, 2180 women and 91 subjects with sex not specified. CH form was indicated for 7177 subjects with 5808, 1182 and 187 with episodic CH, chronic CH and undetermined form respectively. Meta-analysis estimated the overall CH diagnostic delay at 10,43 years (95% CI [9.09; 11.77]) with a reduction in the CH diagnostic delay over time since the sixties and the continuation of such a reduction every decade since 2000. Qualitative analyses identified several predictors of this diagnostic delay. Autonomic symptoms were associated with a decrease in the delay of diagnosis, whereas lower age of CH onset, alternating attack side and nocturnal headaches were associated with an increase in the delay of diagnosis.

Conclusion: This systematic review including meta-analysis confirms an important unmet need in terms of CH diagnosis. Further work is needed to identify more precisely the predictors of this delay for better management of patients suffering from CH. TRIAL REGISTRATION: The systematic review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) on 01/10/2025 (registration number: CRD42025630779).

Keywords: Cluster headache; Diagnostic delay; Systematic review.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics approval and consent to participate: This systematic review did not require the authorization of an ethics committee. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) on 01/10/2025 (registration number: CRD42025630779). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram studies selection
Fig. 2
Fig. 2
Mean cluster headache diagnostic delay

References

    1. (2018) Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia 38(1):1-211. 10.1177/0333102417738202. PMID: 29368949 - PubMed
    1. Belin AC, Barloese MC (2023) The genetics and chronobiology of cluster headache. Cephalalgia 43(10):3331024231208126. 10.1177/03331024231208126. PMID: 37851671 - PubMed
    1. Lambru G, Andreou AP, de la Torre ER, Martelletti P (2017) Tackling the perils of unawareness: the cluster headache case. J Headache Pain 18(1):49. 10.1186/s10194-017-0757-7. Epub 2017 Apr 27. PMID: 28451865; PMCID: PMC5407400 - PMC - PubMed
    1. Fischera M, Marziniak M, Gralow I, Evers S (2008) The incidence and prevalence of cluster headache: a meta-analysis of population-based studies. Cephalalgia 28(6):614–618. 10.1111/j.1468-2982.2008.01592.x. Epub 2008 Apr 16 PMID: 18422717 - PubMed
    1. Buture A, Ahmed F, Dikomitis L, Boland JW (2019) Systematic literature review on the delays in the diagnosis and misdiagnosis of cluster headache. Neurol Sci 40(1):25–39. 10.1007/s10072-018-3598-5. Epub 2018 Oct 10. PMID: 30306398; PMCID: PMC6329709 - PMC - PubMed