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SYSTEMATIC REVIEW article

Front. Pharmacol., 10 November 2025

Sec. Ethnopharmacology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1670372

Efficacy of different nasal irrigation treatments versus placebo in allergic rhinitis: a systematic review and network meta-analysis

Qidi HuQidi Hu1Lili KongLili Kong1Yi ZhouYi Zhou1Wen ShenWen Shen1Yao SunYao Sun2Jing Deng,
Jing Deng1,2*
  • 1Department of Otolaryngology, Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
  • 2Department of Otolaryngology, The First Hospital of Jiaxing, Jiaxing, China

Purpose: Allergic rhinitis (AR) is a globally prevalent disease, and nasal irrigation is one of its effective treatments. This study aims to compare the efficacy and effectiveness of different nasal irrigation treatments on AR patients’ nasal symptoms and quality of life (QoL).

Methods: Studies on AR patients using different nasal irrigation treatments were searched from Cochrane, Embase, Pubmed, Web of Science, China National Knowledge Infrastructure (CNKI), VIP Database, and China Biology Medicine disc (CBM) up to 29 March 2025. The quality of the included studies was independently assessed using the NIH quality evaluation tool. The primary outcomes included relevant scale scores from the Total Nasal Symptom Score (TNSS), and secondary outcomes included those from the Rhinoconjuctivitis Quality of Life Questionnaire (RQLQ). Random-effects or fixed-effects models were selected for network meta-analysis, and mean difference (MD) was calculated with a 95% credibility interval (CrI). Surface under the cumulative ranking curve (SUCRA) was employed to rank various interventions. R 4.4.1 was used for statistical analysis.

Results: 23 studies involving 3,584 patients were identified. The results of the network meta-analysis showed that compared with the placebo, multiple nasal irrigating agents were more significantly efficacious and effective. In terms of alleviating nasal symptoms (a lower score indicated better effectiveness), resveratrol was the most efficacious [MD: −7.7, 95% CrI (−14.0, −1.1)] (SUCRA = 92.08%), and budesonide also showed significant efficacy and effectiveness [MD: −5.6, 95% CrI (−10.0, −0.99)] (SUCRA = 83.39%). In terms of improving QoL (a lower score indicated better efficacy), cinnamon bark was the most efficacious [MD: −1.3, 95% CrI (−1.6, −0.96)](SUCRA = 95.78%). In addition, hydrogen-rich water [MD: −1.2, 95% CrI (−2.4, 0.10)](SUCRA = 82.58%) and fluticasone [MD: −0.83, 95% CrI (−0.94, −0.71)](SUCRA = 81.49%) also showed significant differences from the placebo.

Conclusion: Resveratrol is the most efficacious in relieving nasal discomfort, and cinnamon bark performs best in optimizing QoL. The results of this study provide scientific evidence for the use of botanical drugs (such as resveratrol and cinnamon) in nasal irrigation for the treatment of AR, offering new options for this disease. This is conducive to promoting the application and verification of some traditional drugs within the framework of modern medicine.

Systematic Review Registration: identifier CRD 420251054166.

1 Introduction

Allergic rhinitis (AR) is caused by immunoglobulin E (IgE) -mediated inflammation of the nasal mucosa due to allergen exposure (Wise et al., 2018). It affects almost all age groups, while its prevalence varies according to populations and regions and rapidly increases in developing countries (Ha et al., 2020; Chong and Chew, 2018). When an allergen is inhaled and adheres to the nasal mucosa, it will stimulate the production of IgE in a sensitized immune system, resulting in swelling and hyperreactivity of the nasal mucosa (Bousquet et al., 2008; London and Ramanathan, 2017; Toppila-Salmi et al., 2015). Major symptoms include runny, stuffy nose, sneezing, and itching (Min, 2010), which may influence other comorbidities (including sinusitis and asthma), further impairing patients’ quality of life (QoL), such as their social life, academic performance, and professional behaviour (Bousquet et al., 2006; Yorgancıoğlu et al., 2012). For teenagers, the prolonged impact on QoL can have significant negative impacts on physical and psychological health (Small et al., 2018).

Current clinical treatments mainly include intranasal corticosteroids (INCS), non-sedative antihistamines (AH), and decongestants (Patel et al., 2020). However, patients often report inadequate symptom relief or have difficulty in adherence (Wheatley and Togias, 2015). On the other hand, biological agents targeting specific targets (such as monoclonal antibodies) are effective in the long term, but they are very expensive and still have potential side effects, such as sedation and irritation of the nasal mucosa. In contrast, nasal irrigation is recommended for treating AR (Luo et al., 2024). Although patients can easily master the usage of nasal irrigation after health education (Hermelingmeier et al., 2012), its effectiveness may be limited in patients with persistent and severe symptoms. Therefore, researchers have explored the addition of various pharmaceutical ingredients, such as certain plant metabolites and corticosteroids, to nasal rinses to enhance their efficacy. Preliminary studies suggest that this approach may help relieve related symptoms and improve QoL in patients with AR. (Kanjanawasee et al., 2018). As far as is concerned, there are no reliable systematic reviews comparing the efficacy of different single active ingredients (e.g., corticosteroids, plant metabolites.) added to nasal rinses for the treatment of AR. Therefore, to comprehensively assess the efficacy and effectiveness of different interventions compared with placebo in improving the primary outcome (Total Nasal Symptom Score (TNSS)) and secondary outcome (Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ)), we conducted a systematic review and network meta-analysis. This methodology integrates direct and indirect evidence and allows for comprehensive ranking and comparison of multiple interventions even in the absence of head-to-head comparative trials.

This study aimed to compare the efficacy and effectiveness of different active ingredients added to nasal rinses compared with placebo on nasal symptoms and QoL in adults with AR using a systematic review and network meta-analysis.

2 Methods

This systematic review and network meta-analysis was conducted according to Preferred Reporting Items for Meta-Analyses for Systematic reviews and Meta-Analyses (PRISMA) (Hutton et al., 2015). This study has been registered with the PROSPERO International Prospective Register of Systematic Reviews (registration number CRD 420251054166).

2.1 Search strategy

We searched Cochrane, Embase, Pubmed, Web of Science, China National Knowledge Infrastructure (CNKI), VIP Database, and China Biology Medicine disc (CBM) up to 29 March 2025. Main search terms were “Rhinitis and Allergic”, “Nasal”, and “Rinse or Irriga or Lavage or Flush or Spray or Washing”. The complete search strategy for all databases, including detailed search steps, search terms, and the number of articles obtained, is provided in Supplementary Table S1 to ensure transparency and reproducibility of the search process. No language limitations were adopted, but non-English studies should provide English abstracts.

2.2 Study selection

All studies were managed in EndNote 21. After removing duplicates, two researchers (Qidi Hu and Lili Kong) examined the titles and abstracts to select relevant studies, the full texts of which were then downloaded. Two reviewers screened separately, and a third person summarized their results. In the initial screening, studies that met at least the patient characteristics and interventions were selected, and the rest were excluded.

2.3 Inclusion and exclusion criteria

2.3.1 Inclusion criteria

1. The study population should be patients diagnosed with AR, at least 18 years of age; 2. The intervention and control should include nasal rinses or sprays containing any active pharmaceutical ingredients (e.g., corticosteroids, antihistamines, herbal extracts); 3. Studies that provided extractable data on efficacy or effectiveness in relevant diseases; 4. The type of literature was a randomized controlled study or a cohort study. 5. The primary outcome was TNSS, which was typically used to assess four core symptoms, including runny nose, nasal congestion, nasal itching, and sneezing. The TNSS score ranged from 0 (no symptoms) to 3 (severe symptoms). A higher score indicated more severe symptoms. The secondary outcome was RQLQ. The RQLQ tool covered 28 questions across 7 domains, evaluating the impact of allergic symptoms (activity limitation, sleep problems, nasal symptoms, eye symptoms, non-nasal/non-eye symptoms, practical problems, and emotional function). Participants were asked to answer each question on a 7-point scale ranging from 0 (no impairment at all) to 6 (severe impairment), and to recall the degree of distress they experienced with allergic symptoms in the previous week. A higher RQLQ score indicated worse QoL.

2.3.2 Exclusion criteria

1. Studies involving non-adults with unclear diagnostic populations; 2. Unclear interventions or controls (The route of administration of the intervention was not nasal (e.g., oral or intravenous), or the description of the intervention (rinse or spray) in the studies was incomplete, so that key information, such as its specific ingredients, cannot be determined); 3. Unavailable full-text or outcome data; 4. Not randomized controlled or cohort studies.

2.4 Data extraction

Two reviewers (Qidi Hu and Lili Kong) reviewed and extracted data from the selected studies. To ensure data accuracy, any inconsistencies that arose during cross-checking of the extracted results were first reviewed by two researchers and discussed. If any disagreement remained after discussion, a third person would adjudicate. The following data were collected: first author, year of publication, nationality, sample size, age, intervention, control, type of study, and outcome indicators (TNSS and RQLQ).

We obtained the means and standard deviations (SD) for changes from baseline to post-intervention as the major data source for this analysis. If no SD was provided, standard error, 95% confidence interval (CI), polar deviation, and quartiles were used to calculate it. When the interquartile range (IQR) was given, it was used as the mean and IQR/1.135 as the standard deviation (Hozo et al., 2005). If the Min-Max median was present in an eligible article, the data were not considered for statistical analysis.

2.5 Description of Chinese herbal compound intervention drugs

All botanical drugs evaluated in this network meta-analysis are clearly defined in Supplementary Table S2. The botanical identities of the constituent species were verified using Kew Science (http://mpns.kew.org/mpns-portal), and the identities of certain medicinal animals were cross-referenced with the GBIF database (https://www.gbif.org/). As shown in Supplementary Table S2, the details of each botanical drug was specified, including the full and valid species, constituent herbs, family, authority, verification source, pharmacopoeial drug name, and type of extract.

The botanical drugs involved in this study were as follows. Resveratrol was extracted from Reynoutria japonica Houtt. (Polygonaceae; Polygoni Cuspidati Rhizoma et Radix). Cinnamon bark was extracted from Cinnamomum verum J. Presl (Lauraceae; Cinnamomi Cortex). Nose clearing is composed of Houttuynia cordata Thunb. (Saururaceae; Houttuyniae Herba), Scutellaria baicalensis Georgi (Lamiaceae; Scutellariae Radix), Nepeta tenuifolia Benth. (Lamiaceae; Schizonepetae Herba Carbonisata), Xanthium strumarium L. (Asteraceae; Xanthii Fructus), Conioselinum anthriscoides ‘Chuanxiong’ (Apiaceae; Chuanxiong Rhizoma), Acorus verus (L.) Raf. (Acoraceae; Acori Tatarinowii Rhizoma), and Poria cocos F.A.Wolf. E-Qi is composed of N. tenuifolia Benth. (Lamiaceae; Schizonepetae Herba Carbonisata), Saposhnikovia divaricata (Turcz. ex Ledeb.) Schischk. (Apiaceae; Saposhnikoviae Radix), Magnolia biondii Pamp. (Magnoliaceae; Magnoliae Flos), Mentha canadensis L. (Lamiaceae; Menthae Haplocalycis Herba), Angelica dahurica (Hoffm.) Benth. and Hook. f. ex Franch. and Sav. (Apiaceae; Angelicae Dahuricae Radix), Vincetoxicum mukdenense Kitag. (Apocynaceae; Cynanchi Paniculati Radix et Rhizoma), Centipeda minima (L.) A. Braun and Asch. (Asteraceae; Centipedae Herba), Astragalus mongholicus Bunge (Fabaceae; Astragali Radix), Xanthium strumarium L. (Asteraceae; Xanthii Fructus), and Punica granatum L. (Lythraceae; Granati Pericarpium). Xanthium was extracted from Xanthium strumarium L. (Asteraceae; Xanthii Fructus).

2.6 Risk of bias assessments

Two independent reviewers assessed the risk of bias in the selected studies using the NIH scale (https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools), and a third reviewer summarized their results. Since the types of study were either randomized controlled or cohort studies, more than one kind of NIH scale was adopted. The NIH scale for randomized controlled studies included multiple categories, such as randomization, blinding, sample size assessment, interventions, outcome measures, statistical analyses, bias control, and outcome reporting. The scale for cohort studies included study design, sample selection, exposure assessment, outcome measures, follow-up time, confounding controls, statistical analysis, and reporting of results. These categories aimed to fully assess the scientific validity and reliability of randomized controlled and cohort studies, so as to guarantee the validity and accuracy of this study. Meanwhile, only studies with a low risk of bias (defined as a score greater than 10) were included in the main network meta-analysis to ensure the reliability and accuracy of this study.

2.7 Data synthesis and analysis

R version 4.4.1 and GeMTC were used to construct the network meta-analysis model. All data analyses were performed based on a Bayesian random-effects model, using the “GeMTC” and “rjags” packages of R software. Markov chain Monte Carlo (MCMC) methods were used to simulate parameter posterior distributions, providing probability distributions for each effect size estimate. We set a total number of parameter tuning iterations to 25,000, performed 250,000 simulations, and adopted a 10-fold sampling factor to generate the Bayesian statistical model for the network meta-analysis. Model consistency was verified using both consistency and inconsistency models. When closed loops were observed in the network diagram, a node-splitting method was used to assess local inconsistencies between direct and indirect evidence. Model convergence was assessed using the Brooks-Gelman-Rubin diagnostic tool as well as trajectory and density plots. Effect sizes were calculated using the Bayesian random-effects model with mean difference (SMD) and 95% credibility intervals (95% CrIs). Comparisons of all interventions were presented using forest plots and summary tables. Statistical significance was determined when 95% CrIs did not include zero. Different interventions were ranked and hierarchically stratified by calculating the surface under the cumulative ranking curve (SUCRA). SUCRA values ranged from 0% to 100%. A higher value indicated a greater likelihood of being the most effective intervention measure. A network diagram was used to visualize the relative relationships among the different interventions in this network meta-analysis, where nodes represented different interventions, and edges corresponded to direct comparisons between interventions.

2.8 Sensitivity analysis and publication bias

To assess the robustness of our findings, a sensitivity analysis was conducted by excluding the studies one by one. Analytical variables included comparisons of statistical results of different methodologies (fixed-effect and random-effect models). Studies with low quality scores were excluded from the analysis, and changes in the results before and after these exclusions were compared. The publication bias was assessed using Egger’s and Begger’s test. A P < 0.5 indicated the presence of publication bias; otherwise, no publication bias was considered.

3 Results

3.1 Study selection

A total of 5,639 articles were identified from databases. 1843 of those were duplicates, and 3,557 were excluded based on the inclusion and exclusion criteria. Among the remaining 239, the full texts of 68 were unavailable. After reading the full texts, 144 were excluded due to ineligible interventions, and 1 for the absence of an intervention outcome. In the end, 26 studies published up to 29 March 2025 were included. The complete selection process is shown in the PRISMA flowchart in Figure 1.

Figure 1
Flowchart of study selection: 5,639 records identified from databases, reduced to 3,796 after removing duplicates. After screening for relevance, 3,557 records were discarded, leaving 239 full-text articles for eligibility assessment. Of these, 213 were excluded for reasons such as only abstract available or inconsistency with intervention, resulting in 26 studies included in the final quantitative synthesis.

Figure 1. A flow chart for new systematic review retrieval and selection.

3.2 Basic characteristics of the included studies

The 26 eligible studies (Kim et al., 2022; Magen et al., 2006; Wu et al., 2014; Zhang, 2023; Coyte, 1990; Jin et al., 2022; Jahan and Yong, 2018; Zhang and Yao, 2013; Wu et al., 2012; Sansila et al., 2020; Wang, 2016; Ratner et al., 2006; Singh et al., 2016; Berkowitz et al., 1999; Jin et al., 2018; Gendeh et al., 2024; Ciprandi et al., 2003; Lv et al., 2018; Hampel et al., 2006; Ellis et al., 2016; Rimmer et al., 2012; Badorrek et al., 2015; Dykewicz et al., 2003; Yamada et al., 2012; Steels et al., 2019; Long, 2013) encompassed 3,872 patients. The basic characteristics of the included studies are described in Table 1. Eleven interventions were reported: fluticasone (FLU), budesonide (BUD), BUD + normal saline (NS), hydrogen-rich saline (HRS), BUD + hypertonic saline (HS), HS, ciclesonide (CIC), mometasone furoate (MF), olopatadine (OLO), cinnamon bark (CB), HOCl, mometasone furoate + NS, nose clearing (NC), E-Qi, xanthium (XAN), resveratrol (RESV), and S0597 (a novel intranasal glucocorticosteroid). The control group received placebo. In terms of the types of studies, there were 25 randomized controlled studies and 1 cohort study. The age of the sample population ranged from 19 to 60 years.

Table 1
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Table 1. Study characteristics of randomized controlled trials/cohort studies comparing different nasal irrigants with placebo.

3.3 Risk of bias assessments

The risk of bias assessment results are shown in Table 2. Seventeen studies scored 12 points or more, indicating a high research quality; six studies scored more than 10, indicating a good research quality; three studies scored 10 or less, indicating a high risk of bias. To ensure the robustness of the primary analysis, the three studies with a high risk of bias were excluded, and the network meta-analyses for TNSS and RQLQ were conducted using the remaining 23 studies. Among them, randomized controlled studies had a higher quality score, while cohort studies had a lower score. The common risk of randomized controlled studies stemmed from the incomplete blinding and allocation concealment of participants and personnel. For cohort studies, the risk of bias was from the selection of sample size, the relationship between exposure level and outcome, whether multiple measurements were taken, and the blinding of participants and personnel.

Table 2
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Table 2. The risk of bias assessment.

3.4 Publication bias and sensitivity analysis

Publication bias was assessed for RQLQ and TNSS using Begg’s test and Egger’s funnel plots. The funnel plot for RQLQ was symmetrical, and Begg’s test (P = 0.71) and Egger’s test (P = 0.55) indicated no publication bias (Supplementary Figure S2). The funnel plot for TNSS was symmetrical, and Begg’s test (P = 0.06) and Egger’s test (P = 0.98) indicated no publication bias (Supplementary Figure S3).

To confirm the robustness of the results, a sensitivity analysis of RQLQ and TNSS was conducted based on the models selected and studies included (Supplementary Table S3, S4).The results of the top three effective interventions ranked by SUCRA values under the fixed-effects model were found to be consistent with those of the top three effective interventions under the random-effects model. Therefore, the results were methodologically robust, and the model used had no impact on the primary results of RQLQ. Regarding the inclusion of studies, a fixed-effect model was used to exclude studies with low quality scores, and the effects of these exclusions on the primary outcome were compared before and after exclusion. The results of the top three interventions ranked before exclusion were found to be consistent with those of the top three effective interventions after exclusion. Therefore, the studies included had no impact on the main results of RQLQ, and the results were relatively robust.

For TNSS, the results of the top three effective interventions ranked by SUCRA values in the fixed-effects model were consistent with those of the top three effective interventions in the random-effects model. Therefore, the model used had no impact on the main results of TNSS, and the results were relatively robust. Regarding the inclusion of studies, a random-effects model was used to exclude studies with low quality scores and compare the results before and after exclusion. The results of the top three interventions before exclusion were found to be consistent with those of the top three effective interventions after exclusion. Therefore, the studies included had no impact on the main results of TNSS, and the results were relatively robust. We then excluded studies with small sample sizes and compared the main results before and after exclusion. The results of the top three interventions before exclusion were consistent with those of the top three effective interventions after exclusion, further demonstrating the stability of our results.

3.5 Effect of different measures on nasal symptoms

14 eligible studies analyzed nasal symptoms (TNSS), involving 1,670 participants. Interventions included HOCl, MF, HRS, NC, E-Qi, HS, XAN, BUD, RESV, S0597, and FLU. Among them, RESV was the most efficacious in reducing nasal symptoms [MD: 7.7,95%Crl (−14.0, −1.1)](SUCRA = 92.08%), as shown in Figure 3, followed by BUD [MD: 5.6,95%Crl (−10.0, −0.99)](SUCRA = 83.39%). The inconsistency test of the node splitting method for some subgroups was not performed because no loop was formed in the network diagram. Detailed results are shown in the network diagram (Figure 2), forest plot (Figure 3), and league table (Table 3).

Figure 2
Diagram showing a central node labeled

Figure 2. Networks of treatment comparisons for outcomes reflecting changes in the TNSS from baseline. The nodes represent the interventions. The edges represent direct comparisons between interventions, and their thickness is proportional to the number of trials examining each intervention.

Figure 3
Forest plot comparing treatments to placebo with mean differences and 95% credible intervals (CrI). The top plot includes treatments HOCI, MF, HRS, NC, E-Qi, HS, showing varied effects with percentages indicating SUCRA values. The bottom plot includes XAN, BUD, RESV, S0597, FLU, also with mean differences, CrIs, and SUCRA percentages. Horizontal lines represent CrI ranges around mean differences on a scale from -20 to 6.

Figure 3. TNSS relative effect forest plot.

Table 3
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Table 3. League table of improvements in nasal symptoms in patients with allergic rhinitis by different nasal irrigation formulations compared with placebo, with significant relative effects between the two interventions described in bold.

3.6 Effect of different measures on QoL

11 eligible studies reported RQLQ, involving 1944 participants. Interventions included FLU, BUD, BUD + NS, HRS, BUD + HS, HS, CIC, MF, OLO, and CB. Among them, CB was the most efficacious [MD: −1.3,95%Crl (−1.6, −0.96)](SUCRA = 95.78%), followed by FLU [MD:−0.83,95%Crl (−0.94, −0.71)](SUCRA = 81.49%). The results of the inconsistency test showed that the p-values for the comparison of the different interventions were all greater than 0.05, indicating that there was no inconsistency. Detailed results are shown in the network diagram (Figure 4) and forest plot (Figure 5), league table (Table 4), and the inconsistency test results are provided in Supplementary Figure S1.

Figure 4
A network graph with nodes labeled BUD+NS, BUD, FLU, HRS, BUD+HS, HS, CIC, MF, OLO, CB, and PBO. Lines connect these nodes, with PBO central and having multiple connections. Each line is labeled with

Figure 4. Networks of treatment comparisons for outcomes reflecting changes in the RQLQ from baseline. The nodes represent the interventions. The edges represent direct comparisons between interventions, and their thickness is proportional to the number of trials examining each intervention.

Figure 5
Forest plots show the mean differences of treatments compared with PBO. The top plot includes FLU, BUD, BUD+NS, HRS, BUD+HS, and HS, with values ranging from -1.2 to -0.13. The bottom plot includes CIC, MF, OLO, and CB, with values ranging from -1.3 to -0.33. Error bars represent 95% credible intervals, with SUCRA percentages listed alongside.

Figure 5. RQLQ relative effect forest plot.

Table 4
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Table 4. League table of improvement in quality of life of patients with allergic rhinitis by different nasal irrigation formulations compared with placebo, with significant relative effects between the two interventions described in bold.

4 Discussion

This systematic review and network meta-analysis included 23 studies, involving 3,584 participants and 11 various nasal rinsing treatments. It comprehensively assessed different active ingredients added to nasal rinsing solutions. The analysis demonstrated that both RESV [MD: −7.7,95%CrI(−14.0, −1.1) ] (SUCRA = 92.08%) and BUD [MD: 5.6,95%Crl (−10.0, −0.99)](SUCRA = 83.39%) significantly relieved TNSS compared to placebo. Additionally, CB [MD: −1.3,95%Crl (−1.6, −0.96)](SUCRA = 95.78%) and FLU [MD:−0.83,95%Crl (−0.94, −0.71)](SUCRA = 81.49%) showed statistically significant benefits in optimizing RQLQ scores compared to placebo.

This study found that RESV and BUD had significant efficacy in relieving nasal symptoms compared to placebo (saline-based) in AR patients. AR is triggered by exposure to allergens (e.g., pollen, dust mites) and is characterized by a complex inflammatory response. This response involves the interaction and activation of key immune cells, including eosinophils, T-cells, mast cells, and basophils (Naclerio, 1991), similar to allergic asthma. Among them, nasal mast cells and T cells are an important source of Th2 cytokines such as IL-4 and IL-13, which promote the synthesis of IgE and the production, recruitment, and activation of eosinophils (Pawankar et al., 2000). Therefore, IgE and cytokines (including IL-4) play a crucial role in the occurrence of AR (Pawankar et al., 2011). RESV is a non-flavonoid polyphenol metabolite that is widely used in traditional Chinese medicine. It is primarily derived from Polygonum cupsidatum (Reynoutria japonica Houtt.) (Hu and Li, 2019), and can also be found in multiple plants, such as grapes, berries, and peanuts. It is known for antioxidant (Xing et al., 2020) and anti-inflammatory (Chen et al., 2020) effects both in vitro and in vivo. In clinical practice, many Chinese traditional medicine treatments commonly used for the treatment of chronic inflammation contain RESV, such as Detoxification and Deflagration Granule and Compound Scutellaria Tablet (Xie and Du, 2011; Shen et al., 2017). In one study, incubation of IL-33 and IgE/antigen-stimulated RBL-2 H3 cells with RESV reduced the phosphorylation levels of p38, inhibitor of nuclear factor kappa B (IκBα), and the NF-κB subunit p65 by more than 50%, which play an important role in the pathogenesis of atopic diseases, such as AR (Xu et al., 2020; Han et al., 2015). In an experimentally induced AR rat model, Bozdemir et al. (Bozdemir et al., 2016) showed that RESV treatment reduced allergic symptoms and tissue reactions. It was also demonstrated in Chunjiang Lv 2018 that IgE and IL-4 levels in the blood of patients receiving RESV were significantly reduced, further revealing the efficacy of RESV in the treatment of AR. Similarly, the immunopathologic features of AR are related to the action of Th2-derived cytokines (Christodoulopoulos et al., 2000). Topical corticosteroids have been recognized as highly effective therapies for the treatment of AR because of their antiallergic activity, and they cause few side effects at recommended doses (Nielsen et al., 2001). BUD is the most commonly used glucocorticosteroid in the topical treatment of asthma and rhinitis and has been shown to be highly effective and safe (Snidvongs and Thanaviratananich, 2017). Relevant in vitro studies have reported that BUD inhibits the production of Th2 cytokines and the infiltration of inflammatory cells by activating the transcription of anti-inflammatory genes and inhibiting the transcription of pro-inflammatory genes (Mullol et al., 2009). It also significantly reduces IL-6 and IL-8 in patients with AR (Xaubet et al., 2001). Various randomized trials and meta-analyses have also demonstrated that BUD is more effective than oral antihistamines in relieving nasal obstruction, sniffling, sneezing, itchy nose, and postnasal drip (Rinne et al., 2002; Munch et al., 1983; Cai et al., 2025), but in order to shorten the time to symptom relief, BUD in combination with loratadine is more effective than hormones or antihistamines alone and improves immune function (e.g., modulation of T-lymphocyte subpopulations) (Zhang et al., 2022). In combination with leukotriene receptor antagonists (e.g., montelukast sodium), it significantly reduces serum IgE levels and eosinophil ratios, especially in AR patients with asthma (Guo and Cao, 2023). In clinical practice, BUD is recommended as a first-line treatment for seasonal AR in children and adolescents, and its safety and efficacy have been confirmed in several studies (Ciprandi, 2024a; Li et al., 2024). The drug is not only effective in allergy-induced rhinitis but also significantly reduces the symptoms of nasal inflammation triggered by non-simple allergic factors such as air pollution, reflecting a broad anti-inflammatory mechanism of action. For patients with chronic rhinosinusitis combined with nasal polyps (CRSwNP) or asthma and other type 2 inflammation-related diseases (Guo and Cao, 2023; Ciprandi, 2024b), BUD can effectively improve nasal ventilation and control multidimensional symptoms by inhibiting pathological processes such as eosinophil infiltration.

In terms of improving QoL, CB and FLU have shown significant efficacy in AR patients compared to placebo (saline-based). In contemporary medical practice and healthcare, QoL, which is closely related to health, is considered a central concept (Seidl and Zannon, 2004). Nocturnal symptoms, in addition to the standard symptoms of nasal congestion, runny nose, and itching, are particularly common in patients with chronic diseases such as AR, which severely impacts their sleep (Juniper et al., 2003). Notably, sleep disturbance is a key area assessed in the RQLQ tool, which is our primary indicator of QoL. In the 1970s, a strong dependence relationship was reported between sleep patterns and good nasal function (Cottle, 1972). Nasal congestion is now considered a widely recognized etiologic factor for breathing disorders during sleep (Cottle, 1972). Therefore, by effectively addressing nighttime symptoms such as nasal congestion, sleep quality can be significantly improved, thereby meaningfully improving overall QoL (Brozek et al., 2010). Several surveys (Meltzer et al., 2009; Meltzer et al., 2012; Derebery et al., 2008) have shown that individuals with AR are more likely to be drowsy during the daytime due to poor sleep quality compared to non-AR patients, and are therefore unable to maintain sustained concentration, which in turn leads to reduced learning efficiency. About 30% of these cases have impaired cognitive and memory functions, and about 30% suffer from anxiety or depression. In terms of social work output, about 82% of adult patients had reduced work performance, while about 92% of pediatric patients had regressed in academic performance. In addition, fatigue, impaired sleep quality, inattention, and reduced productivity due to AR pose a huge financial stress on patients, covering medical expenses and additional costs triggered by sick leave. These consequences are exacerbated by poor symptom control or adverse drug reactions (Bernstein et al., 2024). Evidence suggests that improving QoL must be an important part of the treatment of AR. For AR patients, it is often difficult or impossible to completely avoid allergens. Therefore, most patients require continuous anti-inflammatory treatment to reduce symptoms (Wang et al., 2004). Compared to placebo, CB relieves all nasal symptoms and improves peak inspiratory flow, which can significantly improve patients’ QoL and alleviate their financial burden (Given et al., 2010; Nathan, 2007). Huangqi Jianzhong Tang (a famous Chinese herbal formula consisting of seven Chinese medicinal ingredients, including astragalus, cinnamon, licorice, white peony root, ginger, jujube, and Yitang) is commonly used to treat chronic inflammatory diseases such as chronic gastritis, inflammatory bowel disease, chronic hepatitis, and chronic nephritis, and has the same results as improving rhinitis (RQLQ score) (Zhang, 1995). Its high efficiency in addressing patients’ nasal symptoms may be related to the enrichment of plant-derived polyphenols (Hong et al., 2012).

Type-A proanthocynidins isolated from cinnamon bark have been shown to have therapeutic effects for immune inflammation, arthritis, asthma, and viral infections (Anderson et al., 2004; Joshi et al., 2000; Cao and Anderson, 2011). It has been reported that nasal administration of TAPP-CZ inhibits the recruitment of eosinophils infiltrating the nasal mucosa, which may be one of the anti-allergic mechanisms (Aswar et al., 2015). Another study further suggested that this may be related to its rich polyphenols inhibiting IgE-mediated mast cell degranulation (Kandhare et al., 2017). IL-4-dependent eosinophil recruitment leads to elevated inflammation in allergic diseases (Silvestri et al., 2006). A clinical study has shown that serum IL-4 levels are higher in patients with AR compared to healthy controls (Deo et al., 2010). These findings demonstrate that inhibiting the release of pro-inflammatory cytokines from mast cells is essential for relieving allergic inflammation, providing a reasonable pharmacological explanation for its ability to significantly improve patients’ QoL. Hydrogen-rich saline (HRS) primarily achieves its efficacy by increasing the expression level of Nrf2 protein and reducing the production of reactive oxygen species, thereby enhancing the body’s antioxidant stress response (Xie et al., 2014). The antioxidant and anti-inflammatory effects of hydrogen have been confirmed in vitro cell studies (Xu et al., 2018). It can reduce the levels of proinflammatory factors, thereby improving the barrier function and anti-inflammatory capacity of the nasal mucosa. Given this established mechanism, the high ranking of HRS (SUCRA = 82.58%, as presented in Figure 5) in our analysis suggests promising therapeutic potential. Despite this, its effect lacked statistical significance. We propose that the specific hydrogen concentration used might underlie this inconsistency, a hypothesis that must be addressed in subsequent studies. Fluticasone (FLU), a nasal corticosteroid, has potent anti-inflammatory effects and low absolute bioavailability (0.5%) (Allen et al., 2007). It activates intracellular glucocorticoid receptors to inhibit the transcription of multiple inflammatory genes, thereby comprehensively suppressing the activation of inflammatory cells and the release of inflammatory mediators. In summary, CB and FLU may collectively improve the QoL of patients with AR through different pathways, including regulating immune inflammation, combating oxidative stress, and exerting potent anti-inflammatory effects.

Previous studies have demonstrated that polyphenolic metabolites with therapeutic potential, such as RESV, inhibit the production of IgE antibodies (Kumazawa et al., 2014). Based on the data from the present study, in improving nasal symptoms, polyphenol-rich extracts may directly affect immune cells and modulate the pathogenesis of allergic inflammation through a unique mechanism of action (Enomoto et al., 2006). The effectiveness of this mechanism of action may be superior to that of nasal glucocorticosteroids (e.g., BUD), which are widely available on the market today. Therefore, an in-depth exploration of the underlying molecular mechanism of action is warranted.

The results of this study also provide insights into an important question in clinical practice: how to optimize treatment options for patients with severe symptoms who do not respond adequately to saline irrigation alone. Our network meta-analysis demonstrated that adding active ingredients such as resveratrol or cinnamon to irrigation solutions significantly relieved symptoms than placebo (saline). This suggests that medicated nasal irrigation could serve as an effective strategy for patients who require more intensive treatment. This, to some extent, shifts the traditional view (nasal irrigation has limited benefits for patients with severe disease) to the view that optimized nasal irrigation regimens may provide personalized treatment options for patients with varying degrees of disease severity. Future research should focus on identifying which patient subgroups would most benefit from these enhanced irrigation regimens.

The strength of this review lies in that this is the first systematic review of the most recent and comprehensive evidence on the use of different drugs for nasal irrigation. We also conducted a meta-analysis of high-quality RCTs.

There are some limitations to this review. First, most of the included studies did not describe specific randomization methods, allocation concealment, and blinded designs, which may reduce the reliability of the results to some extent. Second, due to the absence of closed loops between different drugs, we cannot explore in depth the sources of heterogeneity in comparisons of different interventions, which limits the interpretation of our results and needs to be confirmed by further studies. Third, we did not investigate the efficacy of combining multiple drugs in irrigation solutions (e.g., a budesonide and resveratrol compound solution). Examining the synergistic effects of such combinations would be a valuable future research direction. Fourth, multiple interventions (e.g., cinnamon) were reported in only one RCT. This increases the risk of overestimating the effect sizes of these specific interventions, and the results should be interpreted with caution. Further well-designed, original studies with sufficient sample sizes are needed to validate our findings.

5 Conclusion

This meta-analysis revealed that RESV was efficacious in reducing nasal symptoms, and CB was efficacious in improving QoL. These two relatively innovative traditional Chinese medicine treatments provide new ideas for the management of AR through multi-targeted modulation of immune homeostasis and anti-inflammatory effects, thus contributing to precision medicine and broadening the avenues for drug development. This may promote the acceptance and use of traditional Chinese medicine in clinical practice. Certainly, all interventions are more effective than placebo in managing symptoms in AR. In practice, physicians should choose treatment options based on the actual condition of the patient.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

QH: Writing – original draft. LK: Resources, Writing – review and editing. YZ: Methodology, Writing – review and editing. WS: Formal Analysis, Investigation, Writing – review and editing. YS: Funding acquisition, Writing – review and editing. JD: Conceptualization, Supervision, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by grant from the Key Support Project of Jiaxing (Grant No. 2023-FC-004).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2025.1670372/full#supplementary-material

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Keywords: allergic rhinitis, nasal lavage, network meta-analysis, systematic review, botanicaldrug

Citation: Hu Q, Kong L, Zhou Y, Shen W, Sun Y and Deng J (2025) Efficacy of different nasal irrigation treatments versus placebo in allergic rhinitis: a systematic review and network meta-analysis. Front. Pharmacol. 16:1670372. doi: 10.3389/fphar.2025.1670372

Received: 28 July 2025; Accepted: 27 October 2025;
Published: 10 November 2025.

Edited by:

Javier Echeverria, University of Santiago, Chile

Reviewed by:

Ursula Wolf, University of Bern, Switzerland
Saai Ram Thejas, RVM Institute of Medical Sciences and Research Center, India

Copyright © 2025 Hu, Kong, Zhou, Shen, Sun and Deng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jing Deng, ZGozMDU5MDQ3MUAxNjMuY29t

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