Skip to main content
Atherosclerosis Plus logoLink to Atherosclerosis Plus
. 2026 Jan 31;63:52–57. doi: 10.1016/j.athplu.2026.01.006

Pre-procedural C-reactive protein levels and carotid or intracranial artery restenosis: A systematic review and meta-analysis

Krishi Jain a,b,1, Hermann Pasha a,b,1, JJ Coughlan a,c, Daniel O'Callaghan a,c, Niall Connolly a, Roisin Colleran a,c, Osama Soliman a,d, Robert A Byrne a,c, Himanshu Rai a,c,
PMCID: PMC12907718  PMID: 41704432

Abstract

Introduction

Restenosis of the carotid or intracranial (IC) arteries, shown to be associated with increased risk of ischemic stroke, represents an unresolved clinical issue. Residual local and systemic inflammation at the time of the index revascularization, of which C-reactive protein (CRP) is a marker of, has been associated with coronary restenosis. Its association with carotid or IC restenosis post revascularization, however, remains uncertain. We therefore conducted a systematic review and a study-level meta-analysis investigating the association of pre-procedural CRP levels and the subsequent incidence of carotid and IC restenosis.

Methods

Online databases of PubMed, EMBASE, MEDLINE, Scopus, and Web of Science were systematically searched for articles published until August 31st, 2025. Pooled effect sizes were obtained from study-level standard mean differences (SMD) and their 95% confidence intervals (CI), employing a Z-test, with random effects for analysis.

Results

Out of 175 unique articles screened, 12 case-control studies, with a total sample of 2040 (325 restenosis cases/1715 no-restenosis controls), were included for quantitative synthesis. The pooled results demonstrated that pre-procedural CRP levels were associated with carotid or IC restenosis, with significantly higher pre-procedural CRP levels amongst the restenosis group in comparison to the no-restenosis group (SMD = 0.50, 95% CI = 0.11–0.89, p = 0.01). No apparent publication bias was detected either visually by Begg's funnel plot or Egger's test (p = 0.51). Leave-one-out sensitivity analysis supported the robustness of the results.

Conclusions

This meta-analysis suggests a significant association between pre-procedural CRP levels and the subsequent incidence of carotid and intracranial artery restenosis.

Keywords: C-reactive protein, Carotid artery disease, Intracranial stenosis, Restenosis, Meta-analysis

Highlights

  • Restenosis of the carotid or intracranial (IC) arteries is associated with stroke.

  • Elevated C-reactive protein (CRP) levels suggest local and systemic inflammation.

  • CRPs association with carotid or IC restenosis was investigated via a meta-analysis.

  • We demonstrate a significant association, suggesting elevated CRP as a risk factor.

1. Introduction

Atherosclerotic stenosis of the carotid and intracranial (IC) arteries are associated with an increased risk of stroke [[1], [2]], [[1], [2]] which, according to the World Stroke Organization is the second leading cause of death and disability amongst non-communicable diseases [3].

For patients undergoing intervention for carotid or IC stenoses, investigated treatments have included endarterectomy, stenting, plain old balloon angioplasty and drug coated balloon angioplasty. Restenosis, which is the re-narrowing of revascularized carotid and IC lesions remains a clinical concern after carotid and IC revascularization [4,5]. The International Carotid Stenting Study, which was the largest multicenter, parallel group randomized trial to date, reported that the cumulative 5-year incidence of moderate (≥50%) and severe restenosis or occlusion (≥70%) to be 40.7% and 10.6% following carotid endarterectomy [4]. On the other hand, moderate or severe restenosis or occlusion rates at 5-year following carotid stenting were found to be slightly lower, but still clinically substantial (29.6 ad 8.5% respectively) [4]. Notably, both of aforementioned percentage based restenosis cut-offs were associated with increased risk of subsequent ipsilateral strokes [4]. Similarly, the pooled restenosis rate after IC stenting has been reported to be 14.8%, in a meta-analysis of 51 published studies. Patients returning with carotid and IC restenosis often require re-intervention and have poor prognosis, in terms of an increased risk of recurrent strokes or transient ischemic attacks (TIAs) [4,6]. This highlights that restenosis in carotid and IC lesions post intervention is clinically important and portends an increased risk of adverse outcomes [5].

Residual inflammation at the time of index revascularization has been associated with restenosis [7], and C-reactive protein (CRP) is a marker of inflammation. CRP is an acute phase reactant; a pentameric protein synthesized in the liver in response to inflammation [8]. It is a widely used marker of inflammation, easily estimable from peripheral blood, and has been independently associated with adverse cardiovascular events such as myocardial infarction, stroke and cardiovascular death [9]. Elevated pre-procedural CRP levels have been associated with an increased risk of clinical outcomes after coronary revascularization [[10], [11]], [[10], [11]] including coronary restenosis [12]. However the association between CRP and the incidence of carotid or IC restenosis has not been established.

Against this background, we conducted a study-level meta-analysis investigating the association of pre-procedural CRP levels with the incidence of carotid and IC restenosis.

2. Materials and methods

The present work strictly adhered to the PRISMA 2020 statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses, PRISMA - updated 2020 guidelines) [13].

2.1. Search strategy and study selection criteria

Online databases of National Library of Medicine (PubMed), EMBASE, MEDLINE-OVID, Scopus and Web of Science were systematically searched for relevant articles published online until August 31, 2025. Search strings were constructed for each of the databases using specific MESH headings, in combination with open text fields. Supplementary Table 1. lists the search strings used for each online database, along with the number of results retrieved. Common search terms used for building precise search strings were “C-reactive protein” OR “high sensitivity C-reactive protein” AND “angioplasty” OR “stent” OR “endovascular treatment” OR “transluminal treatment” OR “intervention” OR “bypass” OR “reconstruction” or “endarterectomy” AND “carotid artery disease” OR “carotid arter∗” OR “Intracranial arterial disease” OR “Intracranial arter∗” OR “intracranial” OR “carotid” AND “restenosis” OR “re-stenosis” OR “revasculari∗” OR “re-intervention” OR “repeat intervention” OR “disease progression” OR “recurrent stenosis” NOT “rat” OR “mouse” OR “mice” OR “rabbit” OR “Takayasu arteritis”. References sections of included papers and relevant published meta-analyses were also reviewed to identify additional articles. Our search was limited to only original articles, published in English language, involving human subjects. Study titles were assessed, followed by abstracts, and subsequently full texts for potential inclusion.

2.2. Inclusion and exclusion criteria

Qualifying studies had to have clearly defined restenosis cases and no-restenosis controls. The definition of restenosis was based either on visual estimation by operators or using offline detailed assessment, with ≥50% stenosis or individual study-based cut-offs for diameter stenosis inside the previously treated segment. Visual confirmation, or the absence of ≥50% stenosis or individual study-based cut-offs, defined our controls classified as having no-restenosis. The design of the included studies could have been case-control/cohort based. No restrictions were put either on: (i) procedure type (carotid/intracranial stenting or carotid endarterectomy, or (ii) the assay type (CRP or high-sensitivity CRP), or (ii) the duration from index procedure to follow-up restenosis assessment.

2.3. Data collection

Data from the included studies for quantitative synthesis was independently extracted by two assessors. Raw extracted data, as well as relevant clinical characteristics was collected on separate Microsoft excel spreadsheets, any discrepancy amongst the two were resolved by deliberations. Summary CRP values amongst the restenosis and no-restenosis groups, expressed as means and standard deviations (mean ± SD), were used for quantitative synthesis. Transformation of the data (if required) was later performed using standard methodologies [14,15].

2.4. Quality assessment

The Newcastle-Ottawa scale (NOS, https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp) was used for quality assessment of the included studies. NOS is a star-based rating system, which considers selection of cases and controls, comparability between cases and controls, and exposure, where a good study will be rated between 5 and 9 stars.

2.5. Statistical analysis

All statistical analysis was performed using review Manager (RevMan) [Computer program]. Version 5.4.1 The Cochrane Collaboration, 2020 and GraphPad Prism for Windows Version 10.6.1.

2.5.1. Summary effect measures

Study level standard mean differences (SMD) and their 95% confidence intervals (CIs) were pooled to obtain a pooled SMD and 95% CI by employing a Z test using the more conservative, random effect models (DerSimonian-Laird method) [16]. A resulting p value of <0.05 was taken to indicate statistical significance. On the contrary, fixed effects model (Mantel-Haenszel method) [17], normally used for study groups displaying low levels of heterogeneity, was not used for the presented analysis, anticipating high levels of inherent in-group heterogeneity.

2.5.2. Heterogeneity assessment

A Q test was employed for heterogeneity assessment in the analysed study group, where a resulting Higgin's I2 statistics (I2) along with Cochran's Q statistics (PQ) were considered as heterogeneity indicators. Significant in-group heterogeneity was indicated by a PQ of <0.01, whilst I2 values of 25%, 50% and 75% indicated low, moderate and high heterogeneity respectively [18].

2.5.3. Publication bias assessment

Publication bias amongst the group of included studies was visually assessed using Begg's funnel plots, where the study level SMD was plotted against its standard error [19]. Additionally, Egger's test was employed, which provided statistical estimates for the same, with a p value < 0.05 taken to indicate statistical significance [20]. Funnel plot asymmetry, coupled with a significant Egger's p value, would suggest the possible existence of publication bias.

2.5.4. Sensitivity analysis

Leave-one-out sensitivity analysis was performed by excluding one study after another and repeating the analysis each time, testing for any significant deviation from the originally obtained pooled results. No significant deviation after each repeated analyses was taken to indicate the robustness of the obtained results.

3. Results

Out of a total of 298 retrieved records, 175 were identified to be unique and underwent title and abstract level screening. Out of these, 150 records were excluded because they were not relevant to the current analysis, leaving 25 articles to be assessed via full text screening. Of these, 13 articles were excluded for a variety of reasons, as detailed in Supplementary Table 2. This resulted in a total of 12 articles/studies, with a total sample of 2040 (325 restenosis cases and 1715 no-restenosis controls) included for quantitative synthesis [[21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32]]. The PRISMA flow diagram is depicted in Fig. 1.

Fig. 1.

Fig. 1

PRISMA study flow.

Table 1 summarizes the baseline characteristics of the included studies, including the type of index revascularization procedure, the CRP units in which the values were reported, sample sizes, restenosis definitions and its assessment methodology, the duration between the index procedure and follow-up restenosis assessment and NOS rating. All included studies were adjudged to be of good quality with NOS ratings ranging from 6 to 9 stars.

Table 1.

List of included studies.

Author Year Procedure Study design CRP units (as reported) Total Sample Restenosis (n)/No-restenosis (n) Restenosis definition (% stenosis) Restenosis assessment methodology Duration from index procedure to follow-up restenosis assessment New-castle Ottawa scale rating
Schillinger et al. [21] 2003 Carotid artery stenting Prospective cohort mg/dl 108 15/93 >50% Doppler ultrasound 6 months 7/9
Gupta et al. [22] 2010 Extracranial and intracranial stenting Retrospective case-control mg/dl 73 (57 extracranial, 16 intracranial) 9/64 >50% Repeat angiography >3 months 7/9
Wasser et al. [23] 2011 Carotid artery stenting Prospective cohort mg/L 210 12/198 ≥70% Doppler ultrasound 33.4 months 7/9
Xia et al. [24] 2012 Carotid artery stenting Prospective cohort mg/L 61 14/47 ≥11% Computed tomography angiography 12 months 7/9
Shi et al. [25] 2016 Carotid artery stenting Retrospective case-control mg/L 57 11/46 >50% Cerebral angiography 6 months 6/9
Tanaskovic et al. [26] 2018 Eversion Carotid Endarterectomy Prospective cohort mg/L 285 26/259 >10% Doppler ultrasound 24 months 7/9
Guo et al. [27] 2021 Intracranial stenting Retrospective case-control mg/L 97 24/73 ≥50% Digital subtraction angiography Median 12.7 months 8/9
Haidegger et al. [28] 2021 Intracranial stenting Prospective cohort mg/L 115 38/77 ≥50% Transcranial Duplex sonography 5 years (1, 3, 6 months and then annually) 7/9
Yu et al. [29] 2021 Intracranial stenting Retrospective case-control mg/L 279 80/199 >50% Digital subtraction angiography and computed tomography angiography Mean 11 months, median 9 months 6/9
Liu et al. [30] 2023 Carotid artery stenting Prospective cohort mg/L 296 28/268 >50% Doppler ultrasound Mean 48 months (1, 6, 12 and yearly thereafter) 7/9
Chen et al. [31] 2025 Intracranial paclitaxel coated balloon treatment Prospective cohort mg/L 261 35/226 >50% Digital subtraction angiography 6 months 7/9
Luo et al. [32] 2025 Extracranial and intracranial stenting Retrospective case-control mg/L 198 (Extracranial stenting + intracranial stenting - numbers not specified) 33/165 >50% Digital subtraction angiography and computed tomography (neck) 6–12 months 8/9

The pooled analysis of 12 individual case-control studies demonstrated a significant association between higher baseline CRP levels and the incidence of carotid or IC artery restenosis (SMD = 0.50; 95% CI = 0.11–0.89, p = 0.01) (Fig. 2.). No evidence of publication bias was observed, either visually using Begg's funnel plots or statistically using Egger's test (p = 0.51) (Fig. 3.). The derived results remained consistent in our leave-one-out sensitivity analysis (Fig. 4.). A further confounder-based sensitivity analysis which tested for age, gender and disease severity adjustment amongst the included studies was attempted. Age and gender which are perhaps the most important confounders were found to be unmatched amongst restenosis and no-restenosis patient groups in one single study [21], whilst 3 studies [23,24,26] did not report age or gender distributions amongst the two patient groups. Disease severity, on the other hand, was not reported consistently using a standard methodology or not reported at all amongst any of our included studies. Sensitivity analysis after removing the aforementioned 4 studies, still demonstrated a significant association (SMD = 0.56, 95% CI = 0.06–1.07, p = 0.03), and further attested the robustness of our originally derived estimates (Supplementary Figure 1.).

Fig. 2.

Fig. 2

Main results.

Fig. 3.

Fig. 3

Publication bias assessment using Begg's funnel plot and Egger's test

Abbreviations: SE, standard error; SMD, standard mean difference.

Fig. 4.

Fig. 4

Leave-one-out sensitivity analysis.

4. Discussion

The present study-level meta-analysis of 12 case-control studies reports a statistically significant association between higher pre-procedural CRP levels and the subsequent incidence of carotid and IC restenosis. The obtained effect size was moderate, but robust, as confirmed in our leave-one-out sensitivity analysis. These results align with the prior understanding of the role of CRP in restenosis. The present data suggests that systemic inflammation at the time of index revascularization, as indicated by elevated CRP levels, may serve as a predictor of carotid and intracranial restenosis.

The role of CRP in coronary restenosis has already been extensively studied [12,33,34]. In contrast, only a limited number of studies have focused on exploring risk factors for carotid [35] and intracranial restenosis [36]. This study is the first to summarise the existing evidence using meta-analytic methods and to suggest an association between elevated preprocedural CRP levels and restenosis of carotid and IC lesions. The strengths of our present work include a comprehensive and replicative search strategy, rigorous inclusion/exclusion criteria, independent data extraction by two blinded accessors, as well as a rigorous study-quality assessment strategy, followed by appropriate statistical analysis for extracting pooled effect sizes. Additionally, the robustness of our obtained results was confirmed using leave-one-out sensitivity analyses, as well as stringent assessment of publication bias. Cofounder-based sensitivity analysis further attested our originally obtained pooled results.

The Centers for Disease Control/American Heart Association recommends hs-CRP cut points of <1, 1 to 3, and >3 mg/L into low-, average-, and high-risk categories, respectively [37]. However, in practice, hs-CRP of even >1 mg/L, amongst patients of stable coronary artery disease was shown to be a significant predictor of stroke, independent of baseline characteristics and treatments in a cohort of 3771 patients, evaluated in a randomised trial setting [38]. This suggests compounded risk in patients with high preprocedural CRP levels, since and carotid and IC lesions independently are known to be associated with high incidence of strokes and TIA's [4,6]. Patients with elevated CRP levels and pre-existing atherosclerotic disease, therefore represent the patient cohort that could benefit from aggressive anti-inflammatory treatments. However, while there has been an association between elevations in inflammatory markers and restenosis risk, there is limited evidence suggesting that anti-inflammatory treatments reduce the risk of restenosis; this is a topic worthy of further investigation.

Colchicine, an established anti-inflammatory drug, typically used in treatment of gout, has been extensively tested regarding its efficacy in secondary prevention of cardiovascular disease. Colchicine demonstrated marked reduction in the incidence of a composite endpoint of cardiovascular death, myocardial infarction, stroke, or ischemia-driven revascularization amongst a large cohort of chronic CAD patients in the multicentric, randomised, placebo controlled, Low-Dose Colchicine 2 (LoDoCo2) trial [39]. A biomarker substudy of 278 patients enrolled in LoDoCo2 trial, suggested marked reduction in serum hs-CRP levels amongst patients treated with colchicine compared to those with placebo (median 0.80 versus 1.34 mg/L respectively, difference −0.54 mg/L, 95% CI -0.58 to −0.12 mg/L, p < 0.005), suggesting that benefits in terms of event rate were indeed brought about by colchicine's anti-inflammatory properties [40]. Risk stratification using pre-intervention CRP levels of patients at the time of index intervention was able to identify patients at increased risk. Current Standards of Practice on Carotid Artery Stenting (CIRSE) guidelines of 2024 do not include CRP measurements as a standardized pre-procedural assessment, [41]. Incorporating pre-procedural CRP measurements could identify patients at a higher risk for restenosis. Whether these patients would benefit from intensified follow up or anti-inflammatory medications like colchicine should be investigated in future randomized trials.

4.1. Limitations

The present study-level meta-analysis has several limitations. There was high in-group heterogeneity, which was a result of varied study designs, intervention types, and a variety of imaging modalities and cut-offs for defining restenosis, along with variations in follow-up durations amongst the included studies; all of which could have had a bearing on our derived results. Although results of our cofounder-based sensitivity analysis involving factors such as age and gender suggested lack of bias, residual effects on the pooled estimates originating from other important unmatched cofounders such as disease severity etc., however, were not duly addressed because of the lack of methodological uniformity in disease severity assessment or simply lack of relevant published data across the included studies. This can be classified as one of the important limitations of the present analysis. There was also a lack of independent assessment for restenosis, which ideally should be done by blinded assessors to avoid bias. The varied immunoassays used for the measurement of CRP levels across the included studies could have contributed towards heterogeneity and may have had a bearing on the reported results. Most of the included studies had limited sample size and were retrospective case-control or cohort studies. Such studies are traditionally associated with limited statistical power and often report inflated effect sizes due to the ‘small-study effect’.

5. Conclusions

The current systematic review and study level meta-analysis of non-randomised studies suggests that there is an association between elevated baseline CRP levels and the subsequent incidence of carotid and intracranial artery restenosis.

Funding

None.

Conflict of interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Prof Robert A. Byrne reports a relationship with Abbott Vascular Inc that includes: funding grants. Prof Robert A. Byrne reports a relationship with Boston Scientific Corporation that includes: funding grants. Prof Robert A. Byrne reports a relationship with Teleflex that includes: funding grants. Prof Robert A. Byrne reports a relationship with Terumo Interventional Systems that includes: funding grants. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.athplu.2026.01.006.

Appendix A. Supplementary data

The following is the supplementary data to this article:

Multimedia component 1
mmc1.pdf (113.9KB, pdf)
Multimedia component 2
mmc2.pdf (137KB, pdf)
Multimedia component 3
mmc3.pdf (62.5KB, pdf)

References

  • 1.Panagiotopoulos E., Stefanou M.I., Magoufis G., et al. Prevalence, diagnosis and management of intracranial atherosclerosis in white populations: a narrative review. Neurol Res Pract. 2024;6:54. doi: 10.1186/s42466-024-00341-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hoh B.L., Chimowitz M.I. Focused update on intracranial atherosclerosis: introduction, highlights, and knowledge gaps. Stroke. 2024;55:305–310. doi: 10.1161/STROKEAHA.123.045513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Feigin V.L., Brainin M., Norrving B., et al. World stroke organization: global stroke fact sheet 2025. Int J Stroke. 2025;20:132–144. doi: 10.1177/17474930241308142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bonati L.H., Gregson J., Dobson J., et al. Restenosis and risk of stroke after stenting or endarterectomy for symptomatic carotid stenosis in the international carotid stenting study (ICSS): secondary analysis of a randomised trial. Lancet Neurol. 2018;17:587–596. doi: 10.1016/S1474-4422(18)30195-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Peng G., Zhang Y., Miao Z. Incidence and risk factors of In-Stent restenosis for symptomatic intracranial atherosclerotic stenosis: a systematic review and meta-analysis. AJNR Am J Neuroradiol. 2020;41:1447–1452. doi: 10.3174/ajnr.A6689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Jin M., Fu X., Wei Y., et al. Higher risk of recurrent ischemic events in patients with intracranial in-stent restenosis. Stroke. 2013;44:2990–2994. doi: 10.1161/STROKEAHA.113.001824. [DOI] [PubMed] [Google Scholar]
  • 7.Pelliccia F., Zimarino M., Niccoli G., et al. In-stent restenosis after percutaneous coronary intervention: emerging knowledge on biological pathways. Eur Heart J Open. 2023;3:oead083. doi: 10.1093/ehjopen/oead083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Singh B., Goyal A., Patel B.C. StatPearls. 2025. C-Reactive protein: clinical relevance and interpretation. Treasure Island (FL) [PubMed] [Google Scholar]
  • 9.Yang X., Zhang D., Zhao Y., et al. Association between serum level of C-reactive protein and risk of cardiovascular events based on cohort studies. J Hum Hypertens. 2021;35:1149–1158. doi: 10.1038/s41371-021-00546-z. [DOI] [PubMed] [Google Scholar]
  • 10.Park D.W., Yun S.C., Lee J.Y., et al. C-reactive protein and the risk of stent thrombosis and cardiovascular events after drug-eluting stent implantation. Circulation. 2009;120:1987–1995. doi: 10.1161/CIRCULATIONAHA.109.876763. [DOI] [PubMed] [Google Scholar]
  • 11.Oemrawsingh R.M., Cheng J.M., Akkerhuis K.M., et al. High-sensitivity C-reactive protein predicts 10-year cardiovascular outcome after percutaneous coronary intervention. EuroIntervention. 2016;12:345–351. doi: 10.4244/EIJY15M07_04. [DOI] [PubMed] [Google Scholar]
  • 12.Rai H., Reddi R., Coughlan J.J., et al. Pre-percutaneous coronary intervention C-Reactive protein levels and In-Stent restenosis: a systematic review and meta-analysis. Health Sci Rep. 2025;8 doi: 10.1002/hsr2.70757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Page M.J., McKenzie J.E., Bossuyt P.M., et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372 doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Luo D., Wan X., Liu J., et al. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res. 2018;27:1785–1805. doi: 10.1177/0962280216669183. [DOI] [PubMed] [Google Scholar]
  • 15.Shi J., Luo D., Weng H., et al. Optimally estimating the sample standard deviation from the five-number summary. Res Synth Methods. 2020;11:641–654. doi: 10.1002/jrsm.1429. [DOI] [PubMed] [Google Scholar]
  • 16.DerSimonian R., Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–188. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
  • 17.Mantel N., Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22:719–748. [PubMed] [Google Scholar]
  • 18.Higgins J.P., Thompson S.G., Deeks J.J., et al. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–560. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Begg C.B., Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–1101. [PubMed] [Google Scholar]
  • 20.Egger M., Davey Smith G., Schneider M., et al. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–634. doi: 10.1136/bmj.315.7109.629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Schillinger M., Exner M., Mlekusch W., et al. Acute-phase response after stent implantation in the carotid artery: association with 6-month in-stent restenosis. Radiology. 2003;227:516–521. doi: 10.1148/radiol.2272020183. [DOI] [PubMed] [Google Scholar]
  • 22.Gupta R., Bhatt A., Kassab M., et al. Elevated levels of pre-procedural high-sensitivity C-reactive protein is associated with midterm restenosis after extra- and intracranial stenting. J Neuroimaging. 2010;20:74–77. doi: 10.1111/j.1552-6569.2008.00313.x. [DOI] [PubMed] [Google Scholar]
  • 23.Wasser K., Schnaudigel S., Wohlfahrt J., et al. Inflammation and in-stent restenosis: the role of serum markers and stent characteristics in carotid artery stenting. PLoS One. 2011;6 doi: 10.1371/journal.pone.0022683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Xia Z.Y., Yang H., Qu H.Q., et al. Impact of carotid artery stenting on plasma interleukin-6, tumor necrosis factor-alpha and C-reactive protein. Int Angiol. 2012;31:28–32. [PubMed] [Google Scholar]
  • 25.Shi S., Zhang Z., Zhang K., et al. Study on correlation analysis of hyper-sensitive C-reactive protein and re-stenosis after internal carotid artery stent implantation. Int J Clin Exp Med. 2016;9:23499–23505. [Google Scholar]
  • 26.Tanaskovic S., Radak D., Aleksic N., et al. Scoring system to predict early carotid restenosis after eversion endarterectomy by analysis of inflammatory markers. J Vasc Surg. 2018;68:118–127. doi: 10.1016/j.jvs.2017.09.054. [DOI] [PubMed] [Google Scholar]
  • 27.Guo X., Ma N., Gao F., et al. Long-term risk factors for intracranial In-Stent restenosis from a multicenter trial of stenting for symptomatic intracranial artery stenosis registry in China. Front Neurol. 2020;11 doi: 10.3389/fneur.2020.601199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Haidegger M., Kneihsl M., Niederkorn K., et al. Blood biomarkers of progressive atherosclerosis and restenosis after stenting of symptomatic intracranial artery stenosis. Sci Rep. 2021;11 doi: 10.1038/s41598-021-95135-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Yu Y., Yan L., Lou Y., et al. Multiple predictors of in-stent restenosis after stent implantation in symptomatic intracranial atherosclerotic stenosis. J Neurosurg. 2022;136:1716–1725. doi: 10.3171/2021.6.JNS211201. [DOI] [PubMed] [Google Scholar]
  • 30.Liu L., Su X., Zhang L., et al. Cerebral collateral circulation as an independent predictor for in-stent restenosis after carotid artery stenting. Quant Imag Med Surg. 2023;13:2941–2952. doi: 10.21037/qims-22-975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Chen Y., Dong K., Song Y., et al. Risk factors of restenosis after paclitaxel-coated balloon treatment in symptomatic intracranial atherosclerotic disease. Sci Rep. 2025;15 doi: 10.1038/s41598-025-02538-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Luo B., Xu Y., Bai J., et al. Higher serum cystatin C and matrix metalloproteinase 9 levels effectively predict in-stent restenosis after stent implantation for intracranial and extracranial arterial stenosis. Pathol Res Pract. 2025;266 doi: 10.1016/j.prp.2024.155751. [DOI] [PubMed] [Google Scholar]
  • 33.Li J.J., Ren Y., Chen K.J., et al. Impact of C-reactive protein on in-stent restenosis: a meta-analysis, Texas heart institute journal/from the Texas heart institute of st. Luke's episcopal hospital. Texas Children's Hospital. 2010;37:49–57. [PMC free article] [PubMed] [Google Scholar]
  • 34.Yi M., Wu L., Ke X. Prognostic value of high-sensitivity C-Reactive protein in In-Stent restenosis: a meta-analysis of clinical trials. J Cardiovasc Dev Dis. 2022;9 doi: 10.3390/jcdd9080247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Yildirim T., Kiris T., Avci E., et al. Increased serum CRP-albumin ratio is independently associated with severity of carotid artery stenosis. Angiology. 2020;71:740–746. doi: 10.1177/0003319720926761. [DOI] [PubMed] [Google Scholar]
  • 36.Wang N., Lu Y., Feng L., et al. Identifying risk factors for in-stent restenosis in symptomatic intracranial atherosclerotic stenosis: a systematic review and meta-analysis. Front Neurol. 2023;14 doi: 10.3389/fneur.2023.1170110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Pearson T.A., Mensah G.A., Alexander R.W., et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the centers for disease control and prevention and the American heart Association. Circulation. 2003;107:499–511. doi: 10.1161/01.cir.0000052939.59093.45. [DOI] [PubMed] [Google Scholar]
  • 38.Sabatine M.S., Morrow D.A., Jablonski K.A., et al. Prognostic significance of the centers for disease control/american heart association high-sensitivity C-reactive protein cut points for cardiovascular and other outcomes in patients with stable coronary artery disease. Circulation. 2007;115:1528–1536. doi: 10.1161/CIRCULATIONAHA.106.649939. [DOI] [PubMed] [Google Scholar]
  • 39.Nidorf S.M., Fiolet A.T.L., Mosterd A., et al. Colchicine in patients with chronic coronary disease. N Engl J Med. 2020;383:1838–1847. doi: 10.1056/NEJMoa2021372. [DOI] [PubMed] [Google Scholar]
  • 40.Silvis M.J.M., Fiolet A.T.L., Opstal T.S.J., et al. Colchicine reduces extracellular vesicle NLRP3 inflammasome protein levels in chronic coronary disease: a LoDoCo2 biomarker substudy. Atherosclerosis. 2021;334:93–100. doi: 10.1016/j.atherosclerosis.2021.08.005. [DOI] [PubMed] [Google Scholar]
  • 41.Spiliopoulos S., Blanc R., Gandini R., et al. CIRSE standards of practice on carotid artery stenting. Cardiovasc Interv Radiol. 2024;47:705–716. doi: 10.1007/s00270-024-03707-y. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.pdf (113.9KB, pdf)
Multimedia component 2
mmc2.pdf (137KB, pdf)
Multimedia component 3
mmc3.pdf (62.5KB, pdf)

Articles from Atherosclerosis Plus are provided here courtesy of Elsevier

RESOURCES