| Literature DB >> 28293928 |
Bohai Feng1, Haijie Xiang1, Haiyong Jin1, Jinjian Gao1, Saiyu Huang1, Yunbin Shi1, Ruru Chen1, Bobei Chen2.
Abstract
PURPOSE: Allergic rhinitis (AR) has become a global issue for a large part of the general population. Sublingual immunotherapy (SLIT) has been used extensively to treat persistent allergic rhinitis (PAR). Although systematic reviews have confirmed the effectiveness of SLIT for the treatment of AR, a considerable number of studies using extracts of house dust mites (HDMs) for immunotherapy found no consensus on basic treatment parameters and questioned the efficacy of SLIT.Entities:
Keywords: Allergic rhinitis; house dust mite; immunotherapy; meta-analysis; sublingual
Year: 2017 PMID: 28293928 PMCID: PMC5352573 DOI: 10.4168/aair.2017.9.3.220
Source DB: PubMed Journal: Allergy Asthma Immunol Res ISSN: 2092-7355 Impact factor: 5.764
Fig. 1Classification of material reviewed for this meta-analysis.
Characteristics of the included studies
| Study (year) | Country | Mean age (year) | Indication | Modality | Cumulative dose | Follow-up (month) | N (all) | Not located | Outcomes assessd |
|---|---|---|---|---|---|---|---|---|---|
| Tari 1990ǂ | Italy | (5–12) | PAR | Drops | 363STU | 18 | 66 | 8 | SS |
| Hirsch 1997ǂ | Germany | 10.6 (6–16) | PAR | Drops | 570 μg | 12 | 30 | 12 | SS |
| Passalacqua 1998є | Italy | 26.1 (15–46) | PAR | Tablets | 47,225 AU | 24 | 20 | 1 | SS |
| Mungan 1999є | Turkey | 31.3 (18–46) | PAR and asthma | Drops | NA | 12 | 36 | 0 | SS MS |
| Guez 2000§ | France | 26.4 (6–51) | PAR | Drops | 90,000 IR | 24 | 72 | 33 | SS MS |
| Bahçeciler 2001ǂ | Turkey | 11.7 (7–18) | PAR | Drops | 7,000 IR | 6 | 15 | 0 | SS MS |
| Ippoliti 2002ǂ | Italy | 9 (5–12) | PAR and asthma | Drops | 12 mg | 6 | 86 | 0 | SS |
| Marcucci 2003ǂ | Italy | 8.5 (4–16) | PAR | Drops | 110 μg | 12 | 24 | 0 | SS |
| Passalacqua 2006є | Italy | 31.28 (18–49) | PAR | Tables | 208,000 AU | 24 | 68 | 12 | SS MS |
| Tseng 2008ǂ | Taiwan | 9.7 (6–18) | PAR | Drops | 37,312 IR | 6 | 63 | 4 | SS |
| O'Hehir 2009є | Australia | 33.2 (18–56) | PAR | Drops | NA | 24 | 30 | 3 | SS |
| Eifan 2010ǂⱷ | Turkey | 7 (5–10) | PAR | Drops | 73,876.8 STU | 12 | 48 | 5 | SS MS |
| Yonekura 2010ǂ | Japan | 9.5 (7–15) | PAR | Drops | 200 μg | 10 | 31 | 3 | SS MS |
| de Bot 2012ǂ | Netherlands | 11.7 (6–18) | PAR | Drops | 435 μg | 24 | 257 | 38 | SS |
| Yukselen 2012ǂ | Turkey | 10.1 | PAR and asthma | Drops | 173,733 TU | 12 | 32 | 2 | SS MS |
| Aydogan 2013ǂ | Turkey | (5–10) | PAR | Drops | 44,500 IR | 12 | 18 | 2 | SS MS |
| Bozek 2013є | Poland | 66.3 (60-75) | PAR | Drops | 421,200 IR | 36 | 108 | 13 | SS MS |
| Wang 2013§ | China | (4–60) | PAR | Drops | NA | 6 | 120 | 35 | SS |
| Bergmann 2014є | Germany | (18–50) | PAR | Tables | 109,200 IR | ||||
| 180,500 IR | 12 | 509 | 112 | SS MS | |||||
| Shao 2014ǂⱷ | China | 6.2 (3–13) | PAR | Drops | 2,638.7 μg | 12 | 264 | 46 | SS MS |
| Huang 2015єⱷ | China | 23.7 (16–52) | PAR | Drops | NA | 24 | 112 | 9 | SS MS |
| Mosbech 2015§ | Multi-center | 30.1 (14–75) | PAR and asthma | Tables | 2,190SQ-HDM | ||||
| 1,095SQ-HDM | |||||||||
| 365SQ-HDM | 12 | 489 | 56 | SS MS | |||||
| Nolte 2015є | Austria | 27.3 (18–58) | PAR | Tables | NA | 6 | 124 | 18 | SS |
| Potter 2015є | South Africe | 32.9 (18-60) | PAR | Drops | 93,600 IR | 24 | 60 | 12 | SS |
| Demoly 2016є | Germany | (18–65) | PAR | Tables | NA | 12 | 992 | 115 | SS MS |
‡Study only included pediatric patients; єStudy only included adults; §Study included both children and adults; ⱷOpen-label randomized controlled trial.
PAR, perennial allergic rhinitis; AU, allergic units; IR, index of reactivity; STU,specific treatment units; SQ-HDM, standardized quality HDM; TU, treatment units; mg, milligram; ug, micrograms; N, sample size; SS, symptom score; MS, medication score.
Fig. 2Risk of bias summary.
Fig. 3Risk of bias graph.
Fig. 4Nasal symptom scores.
Fig. 5Funnel plot for nasal symptom scores.
Fig. 6Nasal medication scores.
Fig. 7Funnel plot for nasal medication scores.
Subgroupanalysis of efficacy according to treatment characteristics
| Subanalysis | Symptom score | Medication score | ||||||
|---|---|---|---|---|---|---|---|---|
| No. of studies | No. of patients | SMD (95% CI) | No. of studies | No. of patients | SMD (95% CI) | |||
| Children only | 12 | 737 | −0.70 [−1.43, 0.03] | 0.06 | 7 | 359 | −1.66 [−2.60, −0.71] | 0.006 |
| Adults only | 10 | 1,311 | −1.02 [−1.53, −0.52] | <0.0001 | 6 | 1,147 | −1.31 [−2.12, −0.51] | 0.001 |
| Children+adults | 3 | 340 | −4.13 [−7.50, −0.76] | 0.02 | 2 | 255 | −0.69 [−1.22, −0.16] | 0.01 |
| Tablets | 6 | 1,228 | −1.81 [−2.94, −0.68] | 0.002 | 4 | 1,139 | −0.65 [−1.13, −0.18] | 0.007 |
| Drops | 19 | 1,213 | −1.06 [−1.67, −0.44] | 0.0007 | 11 | 622 | −1.66 [−2.47, −0.84] | <0.0001 |
CI, confidence interval; SMD, standardized mean difference.
Sensitivity analysis of efficacy
| Sensitivity analysis | Symptom score | Medication score | ||||
|---|---|---|---|---|---|---|
| No. of studies | SMD (95% CI) | No. of studies | SMD (95% CI) | |||
| Fixed−effects model | 25 | −0.69 [−0.78, −0.60] | <0.00001 | 15 | −0.57 [−0.67, −0.47] | <0.00001 |
| Excluded small studies (n<30) | 15 | −1.62 [−2.28, −0.96] | <0.00001 | 9 | −1.31 [−1.89, −0.74] | <0.00001 |
| Excluded open label trials | 22 | −1.19 [−1.74, −0.65] | <0.0001 | 12 | −1.00 [−1.42, −0.58] | <0.00001 |
| Excluded high drop out rate (≤20%) | 20 | −1.16 [−1.73, −0.59] | <0.0001 | 13 | −1.53 [−2.09, −0.97] | <0.00001 |
CI, confidence interval; SMD, standardized mean difference.