Skip to main content
Download PDF
Download ePub

Comparing the relative and absolute effect of erenumab: is a 50% response enough? Results from the ESTEEMen study

The Journal of Headache and Pain volume 23, Article number: 38 (2022) Cite this article

Abstract

Background

Monoclonal antibodies acting on the calcitonin gene-related peptide (CGRP) or its receptor have changed migraine preventive treatment. Those treatments have led to reconsidering the outcomes of migraine prevention. Available data mostly considered benefits in terms of relative efficacy (percent or absolute decrease in monthly migraine days [MMDs] or headache days compared with baseline). However, not enough attention has been paid to residual MMDs and/or migraine-related disability in treated patients. In the present study, we aimed at comparing the relative and absolute efficacy of erenumab.

Methods

ESTEEMen was a collaborative project among 16 European headache centers which already performed real-life data collections on patients treated with erenumab for at least 12 weeks. For the present study, we performed a subgroup analysis on patients with complete data on MMDs at baseline and at weeks 9-12 of treatment. Starting from efficacy thresholds proposed by previous literature, we classified patients into 0-29%, 30-49%, 50-74%, and ≥75% responders according to MMD decrease from baseline to weeks 9-12 of treatment. For each response category, we reported the median MMDs and Headache Impact test-6 (HIT-6) scores at baseline and at weeks 9-12. We categorized the number of residual MMDs at weeks 9-12 as follows: 0-3, 4-7, 8-14, ≥15. We classified HIT-6 score into four categories: ≤49, 50-55, 56-59, and ≥60. To keep in line with the original scope of the ESTEEMen study, calculations were performed in men and women.

Results

Out of 1215 patients, at weeks 9-12, 381 (31.4%) had a 0-29% response, 186 (15.3%) a 30-49% response, 396 (32.6%) a 50-74% response, and 252 (20.7%) a ≥75% response; 246 patients (20.2%) had 0-3 residual MMDs, 443 (36.5%) had 4-7 MMDs, 299 (24.6%) had 8-14 MMDs, and 227 (18.7%) had ≥15 MMDs. Among patients with 50-74% response, 246 (62.1%) had 4-7 and 94 (23.7%) 8-14 residual MMDs, while among patients with ≥75% response 187 (74.2%) had 0-3 and 65 (25.8%) had 4-7 residual MMDs.

Conclusions

The present study shows that even patients with good relative response to erenumab may have a clinically non-negligible residual migraine burden. Relative measures of efficacy cannot be enough to thoroughly consider the efficacy of migraine prevention.

Background

Monoclonal antibodies acting on the calcitonin gene-related peptide (CGRP) or its receptor have opened a new era of migraine treatment, as they are the first class of preventive drugs targeting a migraine-specific mechanism [1, 2]. Erenumab, a monoclonal antibody targeting the CGRP receptor, reported a high efficacy in randomized clinical trials [3,4,5] which was similar or even higher in real-world studies [6,7,8,9,10,11,12,13,14,15].

The availability of highly effective and specific migraine preventive treatments might lead to reconsider the efficacy outcomes. The threshold for a clinically meaningful response to migraine preventive treatments, including erenumab, is commonly set as a relative measure, i.e. a ≥50% decrease in the number of monthly migraine days (MMDs) compared with baseline [3,4,5]. In patients with chronic migraine, even a 30% decrease in MMDs has been considered relevant by some authors [16]. However, patients with a clinically meaningful response may still have a relevant absolute number of residual MMDs. In that view, the international definition of chronic migraine [17], as well as the most recent definition of resistant or refractory migraine [18], are based on an absolute number of MMDs or headache days; therefore, reporting absolute outcomes and analyzing their difference from relative ones can be important in clinical practice and in research settings.

The aim of the present study is to evaluate both the relative and absolute efficacy of erenumab in a large population of patients from real-world practice, in order to assess the difference between the two approaches and provide clinically relevant insights.

Methods

Study population

The present study is a subgroup analysis of the Efficacy and Safety of Treatment with ErEnumab in Men (ESTEEMen) study, a pooled patient-level analysis of real-world data referring to treatment with erenumab, whose details were previously published [19]. The ESTEEMen study was the result of a collaboration among 16 headache centers having already performed real-life studies on erenumab treatment for migraine prevention, with a minimum follow-up of 12 weeks. The analysis was approved by the Internal Review Board of the University of L’Aquila with protocol number 07/2021; ethical approval to pool data from each center was obtained if needed. All included patients were followed-up for 12 weeks, irrespective of treatment discontinuation.

Data collection

Baseline was considered as the four weeks preceding the start of erenumab treatment, while outcomes were assessed at weeks 9-12 of treatment compared with baseline. For centers that reported a 30-day or longer baseline, values were normalized to a 4-week (i.e., 28-day) period to ensure comparability.

MMDs, monthly days of use of acute medication and triptans were collected in all centers by using headache diaries. Headache Impact Test-6 (HIT-6) scores were also collected at baseline and at weeks 9-12. For the purposes of the present study, we used data on MMDs and HIT-6 scores.

We classified the categories of response as 0-29%, 30-49%, 50-74%, and ≥75%, according to the reduction in MMDs at weeks 9-12 compared with baseline. Patients with missing data on MMDs due to data collection issues were excluded from the analyses. Patients with available MMDs at baseline and stopping the treatment before 12 weeks because of inadequate response, adverse events, or loss to follow-up were included in the present analysis using a “last observation carried forward” approach.

Statistical analysis

Descriptive statistics were reported as numbers and proportions and medians with interquartile ranges (IQRs), as appropriate. We assessed the proportion of 0-29%, 30-49%, 50-74%, and ≥75% responders in our sample. For each response category, we reported the median MMDs and HIT-6 scores at baseline and at weeks 9-12; median values at baseline were compared with those at weeks 9-12 by using Wilcoxon test. We also categorized the number of residual MMDs at weeks 9-12 as follows: 0-3, 4-7, 8-14, ≥15. Those categories follow important thresholds, as 4 MMDs identify a need for prevention, 8 MMDs can identify high frequency episodic migraine – or chronic migraine if coupled with ≥15 monthly headache days –, and ≥15 MMDs identify a definite condition of chronic migraine. We classified HIT-6 into four categories: ≤49, 50-55, 56-59, and ≥60 [20]. The distributions of MMD and HIT-6 categories at weeks 9-12 and at baseline were compared using the chi-square test. To keep in line with the scope of the ESTEEMen study, calculations were performed in men and women.

We used a convenience sample without any formal sample size calculation. Missing HIT-6 values were imputed using the median score value.

Results

Out of 1410 patients included in the ESTEEMen dataset, 195 (13.8%) had missing data due to data collection issues; we included in the analyses 1175 (83.3%) patients with complete MMD data both at baseline and at weeks 9-12 and 40 (2.8%) patients with missing data due to early treatment stopping; 860 (70.8%) of those 1215 patients also had complete data on HIT-6 scores. The median age of patients was 49 years (IQR 41-56); 985 (81.1%) patients were women and 230 (18.9%) men; 936 patients (77.0%) had CM and 279 (23.0%) episodic migraine.

Figure 1 shows the distribution of response, residual MMD, and HIT-6 score categories at weeks 9-12. Median MMDs decreased from 14 (IQR 10-22) to 7 (IQR 4-12) in the overall group (P<0.001); MMD decrease was significant in each response group except from patients with 0-29% response (Fig. 2-A; Supplemental Table 1). Median HIT-6 score decreased from 67 (IQR 65-68) to 60 (IQR 56-62) in the overall group (P<0.001); HIT-6 decrease was significant in each response group (Fig. 2-B; Supplemental Table 2).

Fig. 1
figure 1

Relative (percent decrease in monthly migraine days) and absolute (residual monthly migraine days and Headache Impact Test-6 score) response to erenumab

Full size image
Fig. 2
figure 2

Box plots showing the change in monthly migraine days (above) and HIT-6 scores (below) from baseline to weeks 9-12 of treatment with erenumab

Full size image

Figure 3 shows residual MMDs and HIT-6 scores at weeks 9-12 according to response categories. Among patients with ≥75% response rate, the residual migraine burden was low as all patients had less than 8 residual MMDs and 187 (74.2%) had 0-3 residual MMDs. Patients with 50-74% response rate showed a higher migraine burden as 94 (23.7%) had ≥8 MMDs and 246 (62.1%) 4-7 MMDs. Among patients with 30-49% response rate, only 79 (42.4%) had less than 8 residual MMDs. Referring to HIT-6 score categories, the proportions of patients with high migraine-related disability (score ≥60) were high in all response rate categories, ranging from 46.8% in patients with ≥75% response up to 85.3% in those with 0-29% response.

Fig. 3
figure 3

Residual monthly migraine days (A) and Headache Impact Test-6 score (B) at weeks 9-12 according to erenumab response categories

Full size image

Figure 4 shows gender-specific data on residual MMDs and HIT-6 score categories at weeks 9-12 compared with baseline. Residual MMDs did not show gender differences, while HIT-6 distribution was less favorable in women than in men in the 0-29% (P=0.004) and in the 30-49% (P=0.003) response categories (Fig. 4).

Fig. 4
figure 4

Residual monthly migraine days (A) and Headache Impact Test-6 score (B) at weeks 9-12 according to erenumab response categories in men and women

Full size image

Discussion

The percent decrease in MMDs from baseline is an important clinical outcome in patients with migraine; however, it may lead to overlook an important migraine burden in some patients. Especially in CM patients, a high relative decrease in MMD may correspond to a still high number of residual MMDs that may cause impairment in quality of life and daily activities and could even require additional prevention. Our study aimed at reporting the differences between the relative and absolute efficacy of erenumab in a large real-life population. Relative efficacy was reported as the percent decrease in MMDs from baseline to weeks 9-12, while absolute efficacy was reported as the absolute decrease in MMDs and as the number of residual MMDs. Additionally, the residual migraine impact was reported as the HIT-6 score at weeks 9-12. A comparison between absolute and relative efficacy of erenumab was already performed in subgroup analyses of randomized controlled trials [21, 22]; in those previous analyses, patients with a 50% or 75% response had a substantially higher decrease in MMDs compared with those with lower relative efficacy. However, the previous analyses did not report the number of residual MMDs, which is important to consider the actual efficacy of migraine prevention as already been suggested by some authors [23]. Reporting the number of residual MMDs allowed to show that some patients with a 50-74% response might not have an optimal reduction of their migraine burden. In our study, most patients with ≥75% response had an optimal response with 0-3 residual MMDs, while 5 out of 6 patients with 50-74% response can be placed above the threshold of 4 residual MMDs per month; 62.0% met the criteria for high-frequency episodic and 23.9% for chronic migraine. It is important to note that the number of residual MMDs was substantial in patients with 30-49% response and close to that of patients with a 0-29% response. Hence, in our opinion, a 30% decrease in MMDs from baseline could not be considered an acceptable response to migraine prevention, even in patients with chronic migraine. Future basic and clinical research will likely identify novel targets to provide pain relief to those patients. While basic migraine research is advancing, it may be worthwhile to prolong the use of the available treatments, especially in those patients who have failed all the other preventatives, as a small benefit is still better than none. Monoclonal antibodies acting on the CGRP are particularly suitable for long-term treatments, given their favorable safety profile and acceptance by patients [24].

In addition to those considerations, we also found that migraine-related disability, measured by the HIT-6 score, behaved differently from migraine frequency. The score decreased in all subgroups of patients; however, it stayed relatively high even after an effective treatment with erenumab. About half of patients with a 50-74% or even ≥75% response had a substantial impact of migraine on daily life according to the score. This finding suggests that residual MMDs can be associated with a high migraine-related disability even after optimal pharmacological prevention.

Our findings should be put in the context of the real-world use of erenumab and of the other monoclonal antibodies acting on the CGRP pathway. Most of those patients fulfill the definition of resistant or even refractory migraine [18], which identifies patients with multiple preventive treatment failures. Those patients represent a population with a high burden of migraine-related disability [25]. Even if the advent of monoclonal antibodies acting on the CGRP pathway has revolutionized the therapeutic expectancies of those patients, their migraine burden may remain high [26]. Clinical practice suggests that combined treatments with oral drugs and/or non-pharmacological interventions could provide a further substantial benefit to patients with suboptimal treatment with monoclonal antibodies; however, there are no available data on the efficacy of add-ons to monoclonal antibodies, except from observational studies of combination with onabotulinumtoxinA [27,28,29,30,31]. An algorithm for the use of onabotulinumtoxinA for chronic migraine already proposed combination with oral agents in patients with partial response to the injective treatment [32]; the same can apply to erenumab and other monoclonal antibodies. Personalized treatment based on the residual burden of migraine could be important to optimize prevention and improve quality of life. Relative measures of drug efficacy could be useful to understand whether a treatment should be continued, while absolute measures could identify the need for further therapeutic efforts. Decreasing MMDs below 4 is unrealistic for most patients, and mostly those with CM; however, other cutoffs of absolute efficacy could be useful for a thorough patient evaluation.

The previous analysis of the ESTEEMen data did not show gender difference in the response to erenumab [19]. In this subgroup analysis, we showed that even the residual migraine burden was comparable in men and women. As noted in the previous analysis, this finding can be explained by the fact that patients treated with erenumab are a highly selected population of patients, in which gender differences might have been attenuated. The gender difference found in migraine-related disability in patients with 0-29% and 30-49% response was slight and probably irrelevant on a clinical point of view.

The main strength of the present study is its large population from specialized headache centers. Although limited to a single drug, our findings could be generalized to any monoclonal antibody acting on the CGRP pathway. Moreover, this is the first study assessing the residual migraine burden after a preventive treatment. However, the study also suffers from many limitations. The 12-week follow-up is short and migraine outcomes could vary over longer courses of treatment. The design of the study did not allow the collection of many variables, which could not allow to consider possible confounders. Results are generalizable to patients with CM, but not to those with episodic migraine as they represent a minority of patients treated with erenumab. We could not compare data about overall headache days, as the most complete data were available only for MMDs. Besides, HIT-6 values were not complete and were replaced by median values, which could have affected the results. In addition, HIT-6 assesses migraine-related disability in a different fashion as compared with other tools, such as the Migraine Impact and Disability Assessment Scale (MIDAS), which were not used in the present study. Lastly, our database did not allow to consider the effect of concomitant oral preventive treatments and of medical comorbidities in patients treated with erenumab.

Conclusions

Our data show that there is a difference between the relative and absolute efficacy of migraine preventatives in patients with migraine. Overall, a higher relative efficacy was associated with better absolute outcomes; however, even in patients who can be considered as responders by relative response parameters, the residual migraine burden may be high. In our opinion, a single measure of relative efficacy such as percent decrease in MMDs, although easy to assess, cannot be enough. Thorough evaluation of patients with migraine considering residual burden and the therapeutic expectations is always to be considered. Further research is needed to address unmet needs in migraine prevention and the possible benefits of combination or treatment switch in selected patients.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CGRP:

Calcitonin gene-related peptide

CM:

Chronic migraine

ESTEEMen:

Efficacy and Safety of Treatment with ErEnumab in Men

HIT-6:

Headache Impact Test-6

IQR:

Interquartile range

MMDs:

Monthly migraine days

References

  1. Edvinsson L (2018) CGRP Antibodies as Prophylaxis in Migraine. Cell. 175(7):1719

    Article  CAS  Google Scholar 

  2. Edvinsson L, Haanes KA, Warfvinge K, Krause DN (2018) CGRP as the target of new migraine therapies - successful translation from bench to clinic. Nat Rev Neurol. 14(6):338–350

    Article  CAS  Google Scholar 

  3. Goadsby PJ, Reuter U, Hallstrom Y, Broessner G, Bonner JH, Zhang F et al (2017) A Controlled Trial of Erenumab for Episodic Migraine. N Engl J Med. 377(22):2123–2132

    Article  CAS  Google Scholar 

  4. Reuter U, Goadsby PJ, Lanteri-Minet M, Wen S, Hours-Zesiger P, Ferrari MD et al (2018) Efficacy and tolerability of erenumab in patients with episodic migraine in whom two-to-four previous preventive treatments were unsuccessful: a randomised, double-blind, placebo-controlled, phase 3b study. Lancet. 392(10161):2280–2287

    Article  CAS  Google Scholar 

  5. Tepper S, Ashina M, Reuter U, Brandes JL, Dolezil D, Silberstein S et al (2017) Safety and efficacy of erenumab for preventive treatment of chronic migraine: a randomised, double-blind, placebo-controlled phase 2 trial. Lancet Neurol. 16(6):425–434

    Article  CAS  Google Scholar 

  6. Barbanti P, Aurilia C, Egeo G, Fofi L, Cevoli S, Colombo B et al (2021) Erenumab in the prevention of high-frequency episodic and chronic migraine: Erenumab in Real Life in Italy (EARLY), the first Italian multicenter, prospective real-life study. Headache. 61(2):363–372

    Article  Google Scholar 

  7. Cheng S, Jenkins B, Limberg N, Hutton E (2020) Erenumab in Chronic Migraine: An Australian Experience. Headache. 60(10):2555–2562

    Article  Google Scholar 

  8. Lambru G, Hill B, Murphy M, Tylova I, Andreou AP (2020) A prospective real-world analysis of erenumab in refractory chronic migraine. J Headache Pain. 21(1):61

    Article  CAS  Google Scholar 

  9. Ornello R, Casalena A, Frattale I, Gabriele A, Affaitati G, Giamberardino MA et al (2020) Real-life data on the efficacy and safety of erenumab in the Abruzzo region, central Italy. J Headache Pain. 21(1):32

    Article  CAS  Google Scholar 

  10. Raffaelli B, Kalantzis R, Mecklenburg J, Overeem LH, Neeb L, Gendolla A et al (2020) Erenumab in Chronic Migraine Patients Who Previously Failed Five First-Line Oral Prophylactics and OnabotulinumtoxinA: A Dual-Center Retrospective Observational Study. Front Neurol. 11:417

    Article  Google Scholar 

  11. Ranieri A, Alfieri G, Napolitano M, Servillo G, Candelaresi P, Di Iorio W et al (2020) One year experience with erenumab: real-life data in 30 consecutive patients. Neurol Sci. 41(Suppl 2):505–506

    Article  Google Scholar 

  12. Russo A, Silvestro M, Scotto di Clemente F, Trojsi F, Bisecco A, Bonavita S et al (2020) Multidimensional assessment of the effects of erenumab in chronic migraine patients with previous unsuccessful preventive treatments: a comprehensive real-world experience. J Headache Pain. 21(1):69

    Article  CAS  Google Scholar 

  13. Scheffler A, Messel O, Wurthmann S, Nsaka M, Kleinschnitz C, Glas M et al (2020) Erenumab in highly therapy-refractory migraine patients: First German real-world evidence. J Headache Pain. 21(1):84

    Article  CAS  Google Scholar 

  14. Talbot J, Stuckey R, Crawford L, Weatherby S, Mullin S (2021) Improvements in pain, medication use and quality of life in onabotulinumtoxinA-resistant chronic migraine patients following erenumab treatment - real world outcomes. J Headache Pain. 22(1):5

    Article  CAS  Google Scholar 

  15. Valle ED, Di Falco M, Mancioli A, Corbetta S, La Spina I (2020) Efficacy and safety of erenumab in the real-life setting of S. Antonio Abate Hospital's Headache Center (Gallarate). Neurol Sci. 41(Suppl:2):465

    Google Scholar 

  16. Khalil M, Zafar HW, Quarshie V, Ahmed F (2014) Prospective analysis of the use of OnabotulinumtoxinA (BOTOX) in the treatment of chronic migraine; real-life data in 254 patients from Hull, U.K. J Headache Pain. 15(54)

  17. (2018) Headache Classification Committee of the International Headache Society (IHS) The International Classification of Headache Disorders, 3rd edition. Cephalalgia. 38(1):1-211.

  18. Sacco S, Braschinsky M, Ducros A, Lampl C, Little P, van den Brink AM et al (2020) European headache federation consensus on the definition of resistant and refractory migraine : Developed with the endorsement of the European Migraine & Headache Alliance (EMHA). J Headache Pain. 21(1):76

    Article  Google Scholar 

  19. Ornello R, Baraldi C, Guerzoni S, al. e, Collaborators obotE (2021) Gender Differences in 3-Month Outcomes of Erenumab Treatment—Study on Efficacy and Safety of Treatment With Erenumab in Men. Front Neurol.

  20. Bayliss M, Bathenhorst AS (2002) The HIT-6(TM): a user's guide. QualityMetric, Inc., Lincoln, RI

    Google Scholar 

  21. Brandes JL, Diener HC, Dolezil D, Freeman MC, McAllister PJ, Winner P et al (2020) The spectrum of response to erenumab in patients with chronic migraine and subgroup analysis of patients achieving >/=50%, >/=75%, and 100% response. Cephalalgia. 40(1):28–38

    Article  Google Scholar 

  22. Broessner G, Reuter U, Bonner JH, Dodick DW, Hallstrom Y, Picard H et al (2020) The Spectrum of Response to Erenumab in Patients With Episodic Migraine and Subgroup Analysis of Patients Achieving >/=50%, >/=75%, and 100% Response. Headache. 60(9):2026–2040

    Article  Google Scholar 

  23. Tfelt-Hansen P, Diener HC, Steiner TJ (2020) Problematic presentation and use of efficacy measures in current trials of CGRP monoclonal antibodies for episodic migraine prevention: A mini-review. Cephalalgia. 40(1):122–126

    Article  Google Scholar 

  24. Ashina M, Goadsby PJ, Reuter U, Silberstein S, Dodick DW, Xue F et al (2021) Long-term efficacy and safety of erenumab in migraine prevention: Results from a 5-year, open-label treatment phase of a randomized clinical trial. Eur J Neurol. 28(5):1716–1725

    Article  Google Scholar 

  25. Martelletti P, Schwedt TJ, Lanteri-Minet M, Quintana R, Carboni V, Diener HC et al (2018) My Migraine Voice survey: a global study of disease burden among individuals with migraine for whom preventive treatments have failed. J Headache Pain. 19(1):115

    Article  Google Scholar 

  26. Sacco S, Lampl C, Maassen van den Brink A, Caponnetto V, Braschinsky M, Ducros A et al (2021) Burden and attitude to resistant and refractory migraine: a survey from the European Headache Federation with the endorsement of the European Migraine & Headache Alliance. J Headache Pain. 22(1):39

    Article  Google Scholar 

  27. Armanious M, Khalil N, Lu Y, Jimenez-Sanders R (2021) Erenumab and OnabotulinumtoxinA Combination Therapy for the Prevention of Intractable Chronic Migraine without Aura: A Retrospective Analysis. J Pain Palliat Care Pharmacother. 35(1):1–6

    Article  Google Scholar 

  28. Blumenfeld AM, Frishberg BM, Schim JD, Iannone A, Schneider G, Yedigarova L et al (2021) Real-World Evidence for Control of Chronic Migraine Patients Receiving CGRP Monoclonal Antibody Therapy Added to OnabotulinumtoxinA: A Retrospective Chart Review. Pain Ther. 10(2):809–826

    Article  Google Scholar 

  29. Cohen F, Armand C, Lipton RB, Vollbracht S (2021) Efficacy and Tolerability of Calcitonin Gene-Related Peptide-Targeted Monoclonal Antibody Medications as Add-on Therapy to OnabotulinumtoxinA in Patients with Chronic Migraine. Pain medicine (Malden, Mass). 22(8):1857–1863

    Article  Google Scholar 

  30. Silvestro M, Tessitore A, Scotto di Clemente F, Battista G, Tedeschi G, Russo A (2021) Additive Interaction Between Onabotulinumtoxin-A and Erenumab in Patients With Refractory Migraine. Front Neurol. 12:656294

    Article  Google Scholar 

  31. Toni T, Tamanaha R, Newman B, Liang Y, Lee J, Carrazana E et al (2021) Effectiveness of dual migraine therapy with CGRP inhibitors and onabotulinumtoxinA injections: case series. Neurol Sci. 42(12):5373–5376

    Article  Google Scholar 

  32. Sacco S, Russo A, Geppetti P, Grazzi L, Negro A, Tassorelli C et al (2020) What is changing in chronic migraine treatment? An algorithm for onabotulinumtoxinA treatment by the Italian chronic migraine group. Expert Rev Neurother. 20(12):1275–1286

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The publication fee for the present article was provided by a non-conditional grant from Novartis.

Author information

Author notes

  1. Raffaele Ornello and Carlo Baraldi contributed equally to this work

Authors and Affiliations

  1. Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Via Vetoio 1, L’Aquila, Italy

    Raffaele Ornello, Francesca Pistoia & Simona Sacco

  2. PhD school in neurosciences; Department of biomedical, metabolic and neural sciences, University of Modena and Reggio Emilia, Modena, Italy

    Carlo Baraldi

  3. Medical toxicology - Headache and Drug Abuse Research Center; Department of biomedical, metabolic and neural sciences, University of Modena and Reggio Emilia, Modena, Italy

    Simona Guerzoni

  4. The Headache Service, Guy’s and St Thomas’ NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK

    Giorgio Lambru & Anna P. Andreou

  5. Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany

    Bianca Raffaelli & Uwe Reuter

  6. Private Practice, Essen, Germany

    Astrid Gendolla

  7. Headache and Pain Unit, IRCCS San Raffaele, Rome, Italy

    Piero Barbanti, Cinzia Aurilia & Gabriella Egeo

  8. San Raffaele University, Rome, Italy

    Piero Barbanti

  9. IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy

    Sabina Cevoli & Valentina Favoni

  10. Headache and Neurosonology Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy

    Fabrizio Vernieri & Claudia Altamura

  11. Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy

    Antonio Russo & Marcello Silvestro

  12. Headache Centre, Ospedale S. Antonio Abate, ASST Valle Olona, Gallarate, Italy

    Elisabetta Dalla Valle & Andrea Mancioli

  13. Headache Centre, Division of Neurology and Stroke Unit, “A. Cardarelli” Hospital, Naples, Italy

    Angelo Ranieri & Gennaro Alfieri

  14. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation

    Nina Latysheva & Elena Filatova

  15. Southwest Neurology Audit and Research group (SoNAR), Department of Neurology, Derriford Hospital, Plymouth, PL6 8DH, UK

    Jamie Talbot

  16. Department of Neurology, Alfred Health, Melbourne, VIC, Australia

    Shuli Cheng

  17. Department of Neurology, West German Headache Center, University hospital Essen, Essen, Germany

    Dagny Holle & Armin Scheffler

  18. Military University Hospital Prague, Department of Neurology, 1st Faculty of Medicine Charles University, Prague, Czech Republic

    Tomáš Nežádal, Dana Čtrnáctá & Jitka Šípková

  19. Motol University Hospital Prague, Department of Neurology, 2nd Faculty of Medicine Charles University, Prague, Czech Republic

    Zuzana Matoušová

  20. Department of Neurology, “G. Mazzini” Hospital, Teramo, Italy

    Alfonsina Casalena

  21. Department of Neurology, “F. Renzetti” Hospital, Lanciano, Chieti, Italy

    Maurizio Maddestra

  22. Department of Neurology, “S. Pio da Pietrelcina” Hospital, Vasto, Chieti, Italy

    Stefano Viola

  23. Headache Center, Geriatrics Clinic, Department of Medicine and Science of Aging and Center for Advanced Studies and Technology (CAST), G. D’Annunzio University, Chieti, Italy

    Giannapia Affaitati & Maria Adele Giamberardino

  24. Universitätsmedizin Greifswald, Greifswald, Germany

    Uwe Reuter

Authors
  1. Raffaele Ornello
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carlo Baraldi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Simona Guerzoni
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Giorgio Lambru
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anna P. Andreou
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bianca Raffaelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Astrid Gendolla
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Piero Barbanti
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Cinzia Aurilia
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Gabriella Egeo
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Sabina Cevoli
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Valentina Favoni
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Fabrizio Vernieri
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Claudia Altamura
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Antonio Russo
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Marcello Silvestro
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Elisabetta Dalla Valle
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Andrea Mancioli
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. Angelo Ranieri
    View author publications

    You can also search for this author in PubMed Google Scholar

  20. Gennaro Alfieri
    View author publications

    You can also search for this author in PubMed Google Scholar

  21. Nina Latysheva
    View author publications

    You can also search for this author in PubMed Google Scholar

  22. Elena Filatova
    View author publications

    You can also search for this author in PubMed Google Scholar

  23. Jamie Talbot
    View author publications

    You can also search for this author in PubMed Google Scholar

  24. Shuli Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  25. Dagny Holle
    View author publications

    You can also search for this author in PubMed Google Scholar

  26. Armin Scheffler
    View author publications

    You can also search for this author in PubMed Google Scholar

  27. Tomáš Nežádal
    View author publications

    You can also search for this author in PubMed Google Scholar

  28. Dana Čtrnáctá
    View author publications

    You can also search for this author in PubMed Google Scholar

  29. Jitka Šípková
    View author publications

    You can also search for this author in PubMed Google Scholar

  30. Zuzana Matoušová
    View author publications

    You can also search for this author in PubMed Google Scholar

  31. Alfonsina Casalena
    View author publications

    You can also search for this author in PubMed Google Scholar

  32. Maurizio Maddestra
    View author publications

    You can also search for this author in PubMed Google Scholar

  33. Stefano Viola
    View author publications

    You can also search for this author in PubMed Google Scholar

  34. Giannapia Affaitati
    View author publications

    You can also search for this author in PubMed Google Scholar

  35. Maria Adele Giamberardino
    View author publications

    You can also search for this author in PubMed Google Scholar

  36. Francesca Pistoia
    View author publications

    You can also search for this author in PubMed Google Scholar

  37. Uwe Reuter
    View author publications

    You can also search for this author in PubMed Google Scholar

  38. Simona Sacco
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

RO and SS contributed to conception and design of the study. RO and LS organized the database. RO and CB performed the statistical analysis and wrote the first draft of the manuscript. SG, GL, MF, BR, AG, PB, CA, SCe, VF, FV, AR, MS, EDV, AM, AR, GAl, NL, EF, JT, SCh, DH, AS, TN, DČ, JŠ, ZM, LS, AC, MM, SV, GAf, MAG, FP, UR, and SS performed a critical review of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.

Corresponding author

Correspondence to Simona Sacco.

Ethics declarations

Ethics approval and consent to participate

The present study is a pooled analysis of previously collected and/or published data; informed consent was already provided by patients. The pooled analysis of the ESTEEMen study was approved by the Internal Review Board of the University of L’Aquila with protocol number 07/2021; approval was shared with all the study centers. Local ethical approval to pool data was obtained if needed.

Consent for publication

Not applicable.

Competing interests

RO reports personal fees from Novartis, Teva, and Eli Lilly, and had non-financial relationships with Allergan/AbbVie, Novartis and Teva. SS reports personal fees and nonfinancial support from Allergan, Abbott, Eli Lilly, Novartis, and Teva; personal fees from Medscape; and other from Bayer, Pfizer, Medtronic, Starmed, Bristol-Myers Squibb, and Daiichi Sankyo. BR reports research grants from Novartis, and personal fees from Allergan, Lilly, Novartis, and Teva. UR received honoraria for consulting and lectures from Amgen, Allergan, Abbvie, Eli Lilly, Lundbeck, Novartis, electroCore, Medscape, StreaMedUp, and Teva, and research funding from the German Federal Ministry of Education and Research and Novartis. GAf reports competing interests with Novartis. MAG reports competing interests with Helsinn Healthcare and Uriach Italy. GL has received speaker honoraria, funding for travel, and honoraria for participation in advisory boards sponsored by Allergan, TEVA, Lilly and Novartis; he has received speaker honoraria and funding for travel from electroCore, Nevro Corp, and Autonomic Technologies. NL reports personal fees from Novartis and Allergan. EА reports personal fees from Novartis and Teva. CB and SG received honoraria from Allergan, Teva, Eli Lilly and Novartis. DH reports personal fees from Novartis, Teva, Eli Lilly, Allergan, Hormosan, Zuellig Pharma, Bayer. AR received speaker honoraria from Novartis, Teva, and Eli Lilly. SCe received travel grants, honoraria for advisory boards, speaker panels or clinical investigation studies from Novartis, Teva, Lilly, Allergan, Ibsa, Amgen and Lundbeck. VF has received honoraria as speaker or for participating in advisory boards from Eli Lilly, Novartis and Teva. AR has received speaker honoraria from Allergan, Lilly, Novartis and Teva. MSi has received speaker honoraria from Lilly, Novartis and Teva. FV received travel grants, honoraria for advisory boards, speaker panels, or clinical investigation studies from Allergan, Eli-Lilly, Novartis, and Teva. PB received travel grants, honoraria for advisory boards, speaker panels, or clinical investigation studies from Alder, Allergan, Bayer, ElectroCore, Eli-Lilly, GSK, Lusofarmaco, MSD, Novartis, Stx-Med, Teva, and Visufarma. CA received travel grants from Eli-Lilly, FB-Health, Lusofarmaco, and Teva. MF, AG, SC, JT, TN, DČ, JŠ, ZM, LS, AS, MM, GAl, EDV, AM, AC, SV, CA, and FP report no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ornello, R., Baraldi, C., Guerzoni, S. et al. Comparing the relative and absolute effect of erenumab: is a 50% response enough? Results from the ESTEEMen study. J Headache Pain 23, 38 (2022). https://doi.org/10.1186/s10194-022-01408-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s10194-022-01408-w

Keywords

  • Erenumab
  • Treatment efficacy
  • Migraine frequency
  • Real-world

The Journal of Headache and Pain

ISSN: 1129-2377

Contact us