Literature DB >> 29902977

Conbercept for patients with age-related macular degeneration: a systematic review.

Jiaxing Zhang1, Yi Liang2, Juan Xie1, Dong Li3, Qian Hu3, Xiaosi Li4, Wenyi Zheng5, Rui He5.   

Abstract

BACKGROUND: Conbercept is a novel vascular endothelial growth factor (VEGF) inhibitor for the treatment of wet age-related macular degeneration (AMD). This systematic review aims to assess the efficacy and safety of conbercept in the treatment of wet AMD.
METHODS: PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, VIP database, and Wanfang database were searched from their earliest records to June 2017. We included randomized controlled trials (RCTs) evaluating the efficacy and safety of conbercept in wet AMD patients. Outcomes included the mean changes from baseline in best-corrected visual acuity (BCVA) score (primary outcome), central retinal thickness (CRT), plasma level of vascular endothelial growth factor (VEGF) over time, and the incidence of adverse events (AEs).
RESULTS: Eighteen RCTs (1285 participants) were included in this systematic review. Conbercept might improve BCVA compared to triamcinolone acetonide [MD = 0.11, 95% CI (0.08, 0.15)], and reduce CRT compared to the other four therapies (conservative treatment, ranibizumab, transpupillary thermotherapy, and triamcinolone acetonide). The incidence of AEs in patients receiving conbercept was significantly lower than those receiving triamcinolone acetonide [RR = 0.25, 95% CI (0.09-0.72)], but was similar to the other therapies. Conbercept seemed to be more effective than ranibizumab in lowering the plasma level of VEGF [MD = - 15.86, 95% CI (- 23.17, - 8.55)].
CONCLUSIONS: Current evidence shows that conbercept is a promising option for the treatment of wet AMD. Nevertheless, further studies are required to compare the efficacy, long-term safety and cost-effectiveness between conbercept and other anti-VEGF agents in different populations.

Entities:  

Keywords:  Conbercept; Ranibizumab; Systematic review; Vascular endothelial growth factor (VEGF) inhibitor; Wet age-related macular degeneration

Mesh:

Substances:

Year:  2018        PMID: 29902977      PMCID: PMC6003117          DOI: 10.1186/s12886-018-0807-1

Source DB:  PubMed          Journal:  BMC Ophthalmol        ISSN: 1471-2415            Impact factor:   2.209


Background

Age-related macular degeneration (AMD) is a progressive chronic disease of the central retina (the macula) and will result primarily in loss of central vision. It has become the leading cause of adult blindness in industrialized countries [1]. The incidence is expected to at least double by 2020 [2]. The Global Burden of Disease Study 2010 reported an exponential increase of 160% in vision-related years lived with disability due to AMD, highlighting the overwhelming burden to society [3]. A systematic review also revealed that, in 2010, 2.1 million people were blind and 6.0million people were visually impaired due to macular diseases, excluding those caused by diabetic maculopathy [4]. Its prevalence increased from 1990 to 2010 with the highest increase in high-income regions and among the older population (≥50 years of age). The prevalence is comparable between Asians and whites [5], but lower in blacks [6]. However, Asians are more likely to have less-common AMD variants (polypoidal choroidal vasculopathy, PCV) [7, 8]. Clinically, AMD is classified into dry (atrophic) or wet (neovascular or exudative, which accounts for more than 80% of cases with severe visual loss or legal blindness [9]). Established therapies for wet AMD include intravitreous injection of a vascular endothelial growth factor (VEGF) inhibitor, possibly thermal laser photocoagulation, photodynamic therapy (PDT), and supplementation with zinc and antioxidant vitamins. PDT is an alternative for patients who cannot be treated with an intravitreal VEGF inhibitor and for patients with chronic exudative lesions who have preserved vision in one eye and are unlikely to achieve reading vision in the second eye. Transpupillary thermotherapy and triamcinolone acetonide are also used for wet AMD, but recurrence rates of both therapies are relatively high. According to the guidelines from American Academy of Ophthalmology (AAO) and the European Society of Retina Specialists (EURETINA), VEGF inhibitors (e.g., aflibercept, bevacizumab, and ranibizumab) are most effective to manage neovascular AMD and are considered first-line of treatment [2, 10]. VEGF (a potent mitogen and vascular permeability factor) plays a pivotal role in neovascularization by increasing vascular permeability, enhancing the inflammatory response and inducing angiogenesis [11]. Inhibiting VEGF can limit the progression of wet AMD and stabilize, or reverse visual loss [12]. Between 2004 and 2006, three anti-VEGF drugs (Pegaptanib, ranibizumab, and bevacizumab) with different sites of action, formulations, binding affinities, and biologic activities were introduced for the treatment of wet AMD. In November 2011, aflibercept, which binds to all VEGF-A and VEGF-B isoforms as well as to the highly related placental growth factor (PIGF) was approved by the US Food and Drug Adminstration. Similar to aflibercept, conbercept (KH902), a recombinant fusion protein with high affinity to all VEGF isoforms and PIGF [13], was developed and approved in China for the treatment of wet AMD in December 2013. Several randomized trials investigating the use of conbercept concluded that it was effective and safe in the treatment of wet AMD. Nevertheless, evidence has not been systematically assessed. To understand and interpret available evidence, we conducted a systematic review to evaluate the efficacy and safety of conbercept in patients with wet AMD.

Methods

We followed the standard set by Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) in this systematic review (Additional file 1: Table S1). The study was registered in PROSPERO International Prospective Register of Systematic Review (PROSPERO 2017: CRD42017071144).

Literature searching

Pubmed, Embase, and Cochrane Central Register of Controlled Trials (CENTRAL) published in Cochran Library were searched using the search strategies detailed in Additional file 1: Table S2, from their earliest records to June 2017. Clinicaltrials.gov was searched with the terms “age-related macular degeneration” and “conbercept”. The China National Knowledge Infrastructure(CNKI), VIP database, and Wanfang database were also searched with Chinese terms.

Eligibility criteria

All included studies met the following criteria: (1) randomized controlled studies (RCTs); (2) participants with wet age-related macular degeneration aged more than 50 years old; (3) the intervention was conbercept irrespective of dosage and schedule; (4) the comparisons included conservative treatment, ranibizumab, transpupillary thermotherapy, and triamcinolone acetonide; (5) studies included at least one of the following outcomes: the primary outcome was the mean change in best-corrected visual acuity (BCVA, which was measured by the logarithmic visual acuity chart) from baseline to the third month after the first treatment; secondary outcomes included the mean change in central retinal thickness (CRT, which was measured by optical coherence tomography) from baseline to the last visit, the mean change in plasma level of VEGF from baseline to the last visit, and the incidence of adverse events (AEs); (6) publication written in English or Chinese. We excluded the patients with glaucoma, cataracts, or retinopathy caused by diabetes or hypertension and studies without available raw data.

Study selection and data extraction

Two investigators independently screened the titles and abstracts of the articles identified by literature searching (Additional file 1: Table S2 shows the searching strategy), and assessed the studies using predetermined inclusion criteria. The full texts of all potentially relevant articles were retrieved for detailed review. Any disagreement in the process of selection was resolved by discussion. Two authors independently extracted following data from included articles: (1) authors; (2) year of publication; (3) country or region where the study was conducted; (4) study design and use of control; (5) number of participants randomized into each group; (6) gender, age, and disease duration of participants; (7) treatment regimens (dose and schedule); (8) outcomes of each study and their definitions; (9) numerical data for outcomes assessment; (10) sources of funding.

Risk of Bias assessment

Two authors independently assessed the bias risk of each included study using the checklist developed by Cochrane Collaboration [14, 15]. Any disagreements about the risk of bias was resolved by discussion. The items included random sequence generation, allocation concealment, blinding, incomplete outcome data, selective outcome reporting, and other bias. We categorized the judgments as low, high or unclear risk of bias and created plots of bias risk assessment in Review Manager Software (RevMan 5.3).

Statistical synthesis

We calculated a kappa statistic for measuring the agreement level between two authors regarding to the decisions made on study selection. The value of kappa (K) 0.40–0.59 was considered fair agreement, 0.60–0.74 as good and 0.75 or more as excellent [16]. If more than one study reported the same outcome, a pairwise meta-analysis was conducted. We analyzed RCTs using risk ratios (RRs) for the incidence of AEs and mean differences (MDs) for BCVA, CRT, and VEGF level, with corresponding 95% confidence intervals (CIs) to compare differences between conbercept and control groups. We pooled RRs with the Mantel-Haenszel method, and MDs with the inverse variance method using RevMan 5.3, respectively. Statistical heterogeneity among studies was examined by the Chi-square test and quantified by the I statistic [14]. We applied a fixed-effects model to synthesize data when heterogeneity was not significant (P>0.1 and I<50%). When heterogeneity was significant (P ≤ 0.1 and I ≥ 50%) and could not be explained by subgroup analyses or in terms of clinical or methodological features of the trials, a random-effects model was used. We explored sources of heterogeneity based on the following subgroup analyses: type of control groups (e.g. conservative treatment, triamcinolone acetonide, transpupillary thermotherapy, or ranibizumab). We carried out sensitivity analyses by using alternative pooling methods (Peto vs. Mantel-Haenszel method), and statistical models regarding to heterogeneity (random-effects vs. fixed-effect).

Results

Search results and characteristics of included studies

A total of 780 citations were obtained from the literature search and the selection process is shown in Fig. 1. Eighteen RCTs (1285 participants) [17-34] were included in this systematic review. Agreement on study selection between two reviewers was excellent (K = 0.83). All the RCTs were single-center studies conducted in China. As shown in Table 1, the comparisons were conservative treatment (3 RCTs [17-19], 232 participants), ranibizumab (6 RCTs [20-25], 395 participants), transpupillary thermotherapy (4 RCTs [26-29], 326 participants), and triamcinolone acetonide (5 RCTs [30-34], 332 participants). The follow-up time ranged from 1 to 12 months after the first treatment, except one study [18] without reporting this information.
Fig. 1

Flow diagram of study selection process for this systematic review

Table 1

Characteristic of included studies

Study IDStudy designParticipants N Intervention group (N)Comparison group (N)OutcomesFollow-up time after the first treatment (months)
Li YY, 2017 [17]RCTwet AMD54Conbercept (27)Conservative treatment (27)②④6
Mei HY, 2017 [18]RCTwet AMD66Conbercept (33)Conservative treatment (33)NA
Song W, 2016 [19]RCTwet AMD112Conbercept (56)Conservative treatment (56)②④6
Liu ZN, 2016 [20]RCTwet AMD40Conbercept (20)Ranibizumab (20)12
Zhang HX, 2016 [21]RCTwet AMD50Conbercept (25)Ranibizumab (25)②③④1
Liu R, 2015 [22]RCTwet AMD60Conbercept (30)Ranibizumab (30)②③3
Wang NF, 2017 [23]RCTwet AMD76Conbercept (38)Ranibizumab (38)①②3
Lyu P, 2016 [24]RCTwet AMD84Conbercept (42)Ranibizumab (42)①②④3
Zheng MW, 2017 [25]RCTwet AMD85Conbercept (42)Ranibizumab (43)①②3
Wang XX, 2015 [26]RCTwet AMD60Conbercept (30)Transpupillary thermotherapy (30)6
Qin MM, 2016 [27]RCTwet AMD82Conbercept (41)Transpupillary thermotherapy (41)3
Li L, 2017 [28]RCTwet AMD86Conbercept (43)Transpupillary thermotherapy (43)②④6
Zhang X, 2015 [29]RCTwet AMD98Conbercept (49)Transpupillary thermotherapy (49)6
Zhu Y, 2017 [30]RCTwet AMD50Conbercept (25)Triamcinolone acetonide (25)①②④3
He XT, 2015 [31]RCTwet AMD60Conbercept (30)Triamcinolone acetonide (30)①②④3
Han X, 2017 [32]RCTwet AMD70Conbercept (35)Triamcinolone acetonide (35)①②④3
Pan XL, 2017 [33]RCTwet AMD76Conbercept (38, 42eyes)Triamcinolone acetonide (38, 38eyes)12
Yue JL, 2017 [34]RCTwet AMD76Conbercept (38)Triamcinolone acetonide (38)12

RCT randomized controlled trials, AMD age-related macular degeneration, N number of participants, NA not available; ① the mean change in best-corrected visual acuity from baseline to the third month after the first treatment; ② the mean change in central retinal thickness from baseline to the last visit; ③ the mean change in plasma level of VEGF from baseline to the last visit; ④ adverse events

Flow diagram of study selection process for this systematic review Characteristic of included studies RCT randomized controlled trials, AMD age-related macular degeneration, N number of participants, NA not available; ① the mean change in best-corrected visual acuity from baseline to the third month after the first treatment; ② the mean change in central retinal thickness from baseline to the last visit; ③ the mean change in plasma level of VEGF from baseline to the last visit; ④ adverse events As shown in Table 2, all participants were aged 51–87 years old with disease duration of 7 days to 10 years (10 studies [17, 19, 23–26, 28–31] did not report the disease duration). The reported dose of conbercept ranged from 0.5 to 1.5 mg, except 2 studies [21, 30] which failed to report dosing information.
Table 2

Therapeutic regimen and characteristic of included participants

Study IDTherapeutic regimen of intervention groupTherapeutic regimen of comparison groupGender(male/female): intervention group vs comparison groupAge(years): intervention group vs comparison groupCourse of disease: intervention group vs comparison group
Li YY, 2017 [17]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Conservative treatment16/11 vs 14/1376.8 ± 12.6(58–85) vs 77.6 ± 11.9(59–83)NA
Mei HY, 2017 [18]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Conservative treatment17/16 vs 16/1769.4 ± 4.3(63–72) vs 69.5 ± 4.1(63–71)3.1 ± 0.5y(2-4y) vs 3.2 ± 0.6y(2-5y)
Song W, 2016 [19]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Conservative treatment30/26 vs 29/2762.36 ± 6.56(53–81) vs 63.29 ± 6.45(54–82)NA
Liu ZN, 2016 [20]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Ranibizumab, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.11/9 vs 12/865.41 ± 6.37(57–86) vs 65.36 ± 6.74(56–85)3.81 ± 1.10y(6 m-10y) vs 3.88 ± 1.20y(7 m-11y)
Zhang HX, 2016 [21]Conbercept, NARanibizumab, NA12/13 vs 13/1268.79 ± 7.21(54–81) vs 69.03 ± 7.01(53–82)6.13 ± 4.27 m(7d-14 m) vs 6.25 ± 4.45 m(3d-15 m)
Liu R, 2015 [22]Conbercept, 1.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Ranibizumab, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.NA65.5 ± 8.1(53–83) vs 65.2 ± 8.3(54–81)18.8 ± 4.1 m(8-31 m) vs 19.0 ± 4.2 m (9-32 m)
Wang NF, 2017 [23]Conbercept, 0.5 mg, intravitreal injectionRanibizumab, 0.5 mg, intravitreal injection19/19 vs 20/1862.89 ± 5.46(51–75) vs 62.85 ± 5.41(52–74)NA
Lyu P, 2016 [24]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Ranibizumab, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.22/20 vs 21/2162.7 ± 5.3(51–73) vs 62.1 ± 4.9(49–70)NA
Zheng MW, 2017 [25]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Ranibizumab, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.25/17 vs 26/1765.34 ± 2.29(61–72) vs 65.13 ± 2.27(61–74)NA
Wang XX, 2015 [26]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Transpupillary thermotherapy, course of treatment: 3 months17/13 vs 16/1470.4 ± 8.4 vs 69.7 ± 8.1NA
Qin MM, 2016 [27]Conbercept, 1.0 mg, intravitreal injection, once a month, continuous treatment for 3 months.Transpupillary thermotherapy, course of treatment: 3 months20/21 vs 22/1965.8 ± 7.5(54–81) vs 64.9 ± 7.7(51–79)5.7 ± 4.4y(9 m-25y) vs 4.7 ± 3.2y(11 m-21y)
Li L, 2017 [28]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Transpupillary thermotherapy, course of treatment: 3 monthsNA62.28 ± 3.21(52–82) vs 63.12 ± 4.36(53–83)NA
Zhang X, 2015 [29]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Transpupillary thermotherapy, course of treatment: 3 monthsNA64.19 ± 4.31(54–85) vs 65.43 ± 5.76(55–86)NA
Zhu Y, 2017 [30]Conbercept, NATriamcinolone acetonide, 0.1 ml, intravitreal injection.NANANA
He XT, 2015 [31]Conbercept, 1.0 mg, intravitreal injection.Triamcinolone acetonide, 0.1 ml, intravitreal injection.14/16 vs 13/1761.52 ± 6.8(57–72) vs 61.30 ± 6.2(55–70)NA
Han X, 2017 [32]Conbercept, 0.5 mg, intravitreal injection, once a month, continuous treatment for 3 months.Triamcinolone acetonide, 0.1 ml, intravitreal injection, once a month, continuous treatment for 3 months.16/19 vs 14/2167.54 ± 4.45(55–83) vs 68.12 ± 4.66(54–87)3.75 ± 0.64y(0.5-10y) vs 3.94 ± 0.71y(0.5-12y)
Pan XL, 2017 [33]Conbercept, 1.0 mg, intravitreal injectionTriamcinolone acetonide, 0.1 ml, intravitreal injection.20/18 vs 22/1671.62 ± 5.27(63–85) vs 71.59 ± 5.11(62–83)15.83 m ± 5.25 m(5-25 m) vs 15.65 m ± 5.34 m(7-29 m)
Yue JL, 2017 [34]Conbercept, 0.5 mg, intravitreal injectionTriamcinolone acetonide, 0.1 ml, intravitreal injection.21/17 vs 22/1669.78 ± 7.52(61–82) vs 69.27 ± 8.36(60–81)45.62 ± 14.79 m(5-126 m) vs 46.15 ± 14.34 m(7-123 m)

NA not available, d day, m month, y year

Therapeutic regimen and characteristic of included participants NA not available, d day, m month, y year

Risk of Bias

As shown in Fig. 2, the random sequences of 11 studies [19, 21, 23, 24, 28–31, 33, 34] were generated by a random number table or simulation, while all the studies failed to describe the method of allocation concealment. Therefore, the risk of selection bias related to allocation concealment was unable to be assessed. The risk of performance bias of all studies was uncertain, as the blinding method was not reported. All studies had low risk of attrition bias, as there was no loss to follow-up. No studies contained information related to registration information nor had protocols available, so it was unknown whether all the pre-designed outcomes in these studies had been reported. Since none of the studies were reported being supported by pharmaceutical industry funding, the bias caused by conflict of interest was low. Due to the limited number of the included studies for the same outcome, publication bias investigation was not performed.
Fig. 2

Risk of bias summary

Risk of bias summary

Best-corrected visual acuity (BCVA)

The mean change in BCVA from baseline to the third month after the first treatment was reported in 6 studies [23–25, 30–32] (435 participants). Subgroup analyses were performed and stratified by control group selection (Fig. 3). The heterogeneity of each subgroup was not statistically significant (I<50%, P>0.1), so the MDs of the mean changes of BCVA were pooled with a fixed-effects model. The difference between the pooled results of the two subgroups was significant (P < 0.00001). Compared to triamcinolone acetonide, conbercept significantly improved the BCVA in the third month after the first treatment [MD = 0.11, 95%CI (0.08, 0.15)]. While the mean change in BCVA from baseline in conbercept group was similar to that in ranibizumab group [MD = 0.00, 95% CI (− 0.03, 0.04)].
Fig. 3

The forest plot of best-corrected visual acuity

The forest plot of best-corrected visual acuity

Central retinal thickness (CRT)

The mean change in CRT from baseline to the last visit was reported in all 18 studies [17-34] (1285 participants). Subgroup analyses were performed and stratified by control group selection (Fig. 4). The MDs of the mean changes of CRT were pooled with a fixed-effects model because the heterogeneity of each subgroup was not statistically significant (I<50%, P>0.1). There were significant differences among the pooled results of the four subgroups (P < 0.00001). Compared with the other four therapies (conservative treatment, ranibizumab, transpupillary thermotherapy, triamcinolone acetonide), conbercept significantly reduced the CRT at the last visit [MD = − 49.51, 95% CI (− 67.45, − 31.58); MD = − 9.96, 95% CI (− 17.61, − 2.32); MD = − 60.51, 95% CI (− 92.14, − 28.89); MD = − 79.17, 95% CI (− 96.34, − 61.99), respectively].
Fig. 4

The forest plot of central retinal thickness

The forest plot of central retinal thickness

Plasma level of VEGF(ng/L)

Two studies [21, 22] (110 participants) reported the plasma level of VEGF. According to Fig. 5, the heterogeneity was not statistically significant (I = 0%, P = 0.62). The pooled results with a fixed-effects model indicated that conbercept significantly lowered the plasma level of VEGF [MD = − 15.86, 95% CI (− 23.17, − 8.55)] compared to ranibizumab.
Fig. 5

The forest plot of plasma level of vascular endothelial growth factor (VEGF)

The forest plot of plasma level of vascular endothelial growth factor (VEGF)

Adverse events (AEs)

Eight studies [17, 19, 21, 24, 28, 30–32] (566 participants) reported the incidence of any AEs. Due to the significant heterogeneity in conbercept vs. conservative treatment subgroup (I = 75%, P = 0.05), the RRs were pooled with a random-effects model (Fig. 6). The incidence of AEs in the conbercept group was similar to the conservative treatment [RR = 8.81, 95% CI (0.20, 388.62)], ranibizumab [RR = 1.25, 95% CI (0.38, 4.12)] [21], and transpupillary thermotherapy groups [RR = 5.00, 95% CI (0.25, 101.81)] [28], but significantly lower than triamcinolone acetonide group [RR = 0.25, 95% CI (0.09, 0.72)]. None of the studies reported serious AEs, and the most common AEs were increased IOP and ophthalmecchymosis. The incidences of increased IOP (Fig. 7) and ophthalmecchymosis (Fig. 8) in the conbercept group were similar to ranibizumab [RR = 0.20, 95% CI (0.01, 3.97); RR = 1.50, 95% CI (0.27, 8.22), respectively] [21], transpupillary thermotherapy [RR = 3.00, 95% CI (0.13, 71.65); RR = 3.00, 95% CI (0.13, 71.65), respectively] [28], and triamcinolone acetonide [RR = 0.50, 95% CI (0.13, 1.94); RR = 3.00, 95% CI (0.13, 71.22) [32], respectively] groups, but were significantly higher than conservative treatment group [RR = 14.00, 95% CI (1.88, 104.25); RR = 20.00, 95% CI (2.74, 145.96), respectively].
Fig. 6

The forest plot of the incidence of adverse events

Fig. 7

The forest plot of the incidence of increased intraocular pressure

Fig. 8

The forest plot of the incidence of ophthalmecchymosis

The forest plot of the incidence of adverse events The forest plot of the incidence of increased intraocular pressure The forest plot of the incidence of ophthalmecchymosis

Sensitivity analysis

The sensitivity analyses were performed by pooling methods and statistical models regarding to test heterogeneity, and the results (BCVA, CRT, Plasma level of VEGF, and AEs) were robust.

Discussion

This systematic review summarized the evidence of efficacy and safety of conbercept in patients with wet AMD. Our study suggests that the use of conbercept improves the BCVA compared to triamcinolone acetonide, and reduce the CRT compared to the other four therapies (conservative treatment, ranibizumab, transpupillary thermotherapy, and triamcinolone acetonide). The safety profile of conbercept is superior to triamcinolone acetonide, but similar to other controls. As to the anti-VEGF agents, conbercept seems to be more effective than ranibizumab in lowering the plasma level of VEGF. Although the doses of conbercept reported in the RCTs ranged from 0.5 to 1.5 mg, a double-blinded, multicenter, controlled-dose RCT concluded that the mean improvement in BCVA, the mean reduction in CRT, and the incidences of AEs were of no significant difference between 0.5 and 2.0 mg conbercept dosing groups in treating neovascular AMD patients [35]. Accordingly, we supposed that different doses of conbercept did not cause the clinical heterogeneity. The current evidence demonstrates the advantages of conbercept over the non-anti-VEGF agent controls; however, these controls were rarely used for treatment of wet AMD due to the relatively high recurrence rate. This systematic review indicated comparable efficacy in improving BCVA between conbercept and ranibizumab, which was consistent with a retrospective case-controlled study including 180 patients [36]. There were also many studies [20, 22, 27, 33, 34, 37] reporting naked vision as an outcome rather than BCVA. Naked vision was too susceptible to many other factors to be used as the outcome for wet AMD. Therefore we recommend BCVA should be set as the uniform outcome for measuring visual acuity in the future studies. Our study also found that, compared with ranibizumab, conbercept significantly reduced the CRT, which was slightly inconsistent with Cui et al. [36]. The stronger effect of conbercept on reducing CRT might be on account of different mechanisms of action of the two anti-VEGF agents: ranibizumab, a fully humanized monoclonal antibody fragment, functions by blocking the receptor binding domains of all VEGF-A isoforms [38]; while conbercept, a novel recombinant fusion protein, binds to not only VEGF-A but also VEGF-B and PIGF [35]. Cui et al [36] also found a slightly more CRT improvement in the conbercept group than that in the ranibizumab group, but the difference was not statistically significant, which might be attributed to the influence of confounding factors and small sample size. A prospective, interventional case series [39] including 28 patients concluded that conbercept significantly decreased serum VEGF level at 1 day and 1 week after injection, while ranibizumab had no significant effect on serum VEGF concentration, which was consistent with our study. The reduction in serum VEGF may affect conbercept’s systemic safety profile, but the result of meta-analysis did not show any significant difference between conbercept and ranibizumab, which was consistent with Cui et al [36]. Due to the small sample size and short follow-up period of included RCT, the safety of conbercept needs to be further evaluated by long-term, larger sample size study. On the other hand, a cost-effectiveness analysis [40] based on a Markov model concluded that conbercept was a cost-effective alternative for the treatment of wet AMD in China, compared with ranibizumab. Considering the limitation of model and paucity of studies about life quality of patients with wet AMD, the pharmacoeconomic research in real-world population should be conducted in the future. The limitations of this study must be acknowledged as follow: 1) Included RCT were all conducted in Chinese population because conbercept is only approved in China, which limited the representativeness of sample and generalization of the conclusions. Hence the efficacy and safety of conbercept needed to be evaluated in other racial population. 2) Included RCTs with small sample size and short-term follow-up phase were not sensitive enough to find rare AEs, so the safety of conbercept should be further-assessed in larger samples and longer follow-up. 3) The methodological quality of the primary studies was poor, especially without descriptions about allocation concealment and blinding methods as well as registration information. In addition, the overall small size of all studies contributing to any one treatment effect limited the power of statistical tests in meta-analysis. Therefore, prospective, multicenter, RCTs with larger samples and better methodological design are urgently needed in this therapeutic area.

Conclusion

In conclusion, current evidence suggests that conbercept is a promising option for the treatment of wet AMD. Due to the limitations of included studies, further studies (RCTs with larger sample and better methodological design) are warranted to compare the efficacy, long-term safety and cost-effectiveness between conbercept and other anti-VEGF agents (e.g. ranibizumab) in different populations. And researchers should increase focus on patient-reported outcomes (eg. quality of life) in the further research. Table S1. PRISMA 2009 Checklist. Table S2. Searching Strategy. (DOC 65 kb)
  19 in total

Review 1.  The prevalence of age-related macular degeneration in Asians: a systematic review and meta-analysis.

Authors:  Ryo Kawasaki; Miho Yasuda; Su Jeong Song; Shih-Jen Chen; Jost B Jonas; Jie Jin Wang; Paul Mitchell; Tien Y Wong
Journal:  Ophthalmology       Date:  2010-01-27       Impact factor: 12.079

Review 2.  Age-related macular degeneration.

Authors:  Laurence S Lim; Paul Mitchell; Johanna M Seddon; Frank G Holz; Tien Y Wong
Journal:  Lancet       Date:  2012-05-05       Impact factor: 79.321

Review 3.  Age-related macular degeneration.

Authors:  Rama D Jager; William F Mieler; Joan W Miller
Journal:  N Engl J Med       Date:  2008-06-12       Impact factor: 91.245

4.  Safety and efficacy of conbercept in neovascular age-related macular degeneration: results from a 12-month randomized phase 2 study: AURORA study.

Authors:  Xiaoxin Li; Gezhi Xu; Yusheng Wang; Xun Xu; Xiaoling Liu; Shibo Tang; Feng Zhang; Junjun Zhang; Luosheng Tang; Quan Wu; Delun Luo; Xiao Ke
Journal:  Ophthalmology       Date:  2014-05-01       Impact factor: 12.079

Review 5.  Development of ranibizumab, an anti-vascular endothelial growth factor antigen binding fragment, as therapy for neovascular age-related macular degeneration.

Authors:  Napoleone Ferrara; Lisa Damico; Naveed Shams; Henry Lowman; Robert Kim
Journal:  Retina       Date:  2006-10       Impact factor: 4.256

Review 6.  The biology of VEGF and its receptors.

Authors:  Napoleone Ferrara; Hans-Peter Gerber; Jennifer LeCouter
Journal:  Nat Med       Date:  2003-06       Impact factor: 53.440

7.  SERUM LEVELS OF VASCULAR ENDOTHELIAL GROWTH FACTOR BEFORE AND AFTER INTRAVITREAL INJECTION OF RANIBIZUMAB OR CONBERCEPT FOR NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

Authors:  Enzhong Jin; Yujing Bai; Ling Luo; Lvzhen Huang; Xuemei Zhu; Xue Ding; Huijun Qi; Mingwei Zhao
Journal:  Retina       Date:  2017-05       Impact factor: 4.256

Review 8.  Guidelines for the management of neovascular age-related macular degeneration by the European Society of Retina Specialists (EURETINA).

Authors:  Ursula Schmidt-Erfurth; Victor Chong; Anat Loewenstein; Michael Larsen; Eric Souied; Reinier Schlingemann; Bora Eldem; Jordi Monés; Gisbert Richard; Francesco Bandello
Journal:  Br J Ophthalmol       Date:  2014-09       Impact factor: 4.638

9.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Theo Vos; Abraham D Flaxman; Mohsen Naghavi; Rafael Lozano; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Richard Gosselin; Rebecca Grainger; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jixiang Ma; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  12 in total

Review 1.  Recent Advances in Age-Related Macular Degeneration Therapies.

Authors:  Marie Fabre; Lou Mateo; Diana Lamaa; Stéphanie Baillif; Gilles Pagès; Luc Demange; Cyril Ronco; Rachid Benhida
Journal:  Molecules       Date:  2022-08-10       Impact factor: 4.927

Review 2.  The Efficacy of Conbercept in Polypoidal Choroidal Vasculopathy: A Systematic Review.

Authors:  Yimin Wang; Mengxi Shen; Jinwei Cheng; Xiaodong Sun; Peter K Kaiser
Journal:  J Ophthalmol       Date:  2020-08-13       Impact factor: 1.909

3.  Short-Term Results of Switch from Conbercept to Bevacizumab or Ranibizumab in Eyes with Persistent Neovascular Age-Related Macular Degeneration.

Authors:  Zongyi Wang; Mengyang Li; Yuou Yao; Jie Hu; Jiyang Tang; Ran Tang; Zhenyu Piao; Jinfeng Qu
Journal:  J Ophthalmol       Date:  2020-09-07       Impact factor: 1.909

4.  Omega-3 and ranibizumab for age-related macular degeneration: A systematic review protocol.

Authors:  Yan Meng; Hong-Wei Liu; Peng Sun; Ping-Ping Zhou; Jian-Jie Wang
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.889

5.  Efficacy of Initial vs. Delayed Photodynamic Therapy in Combination With Conbercept for Polypoidal Choroidal Vasculopathy.

Authors:  Zuhua Sun; Yuanyuan Gong; Yating Yang; Ying Huang; Suqin Yu; Junqing Pei; Bing Lin; Rong Zhou; Yingzi Li; Yumin Li; Junyan Zhang; Xiaoling Liu
Journal:  Front Med (Lausanne)       Date:  2022-02-09

6.  Cost-Effectiveness of Conbercept vs. Ranibizumab for Age-Related Macular Degeneration, Diabetic Macular Edema, and Pathological Myopia: Population-Based Cohort Study and Markov Model.

Authors:  Zhuang Cui; Wei Zhou; Qinxue Chang; Tiantian Zhang; Hui Wang; Xiangda Meng; Yuanyuan Liu; Hua Yan
Journal:  Front Med (Lausanne)       Date:  2021-12-02

7.  Ranibizumab and conbercept for treating wet age-related macular degeneration in China: A systematic review and meta-analysis.

Authors:  Jiang Pengfei; Tan Hanyu; Peng Qinghua
Journal:  Medicine (Baltimore)       Date:  2021-12-03       Impact factor: 1.817

8.  Efficacy of intravitreal injection of conbercept on non-proliferative diabetic retinopathy: a retrospective study.

Authors:  Jing Wang; Peng-Fei Jiang; Min Liu; Ming-Rong Kou; Jia-Ying Lei; Xiao-Ting Yu; Ying Zhao; Hong Wang; Lin-Na Zhang
Journal:  J Int Med Res       Date:  2020-04       Impact factor: 1.671

9.  Comparative efficacy and safety of anti-vascular endothelial growth factor regimens for neovascular age-related macular degeneration: systematic review and Bayesian network meta-analysis.

Authors:  Lu Ye; Zhao Jiaqi; Wang Jianchao; Feng Zhaohui; Yao Liang; Zhang Xiaohui
Journal:  Ther Adv Chronic Dis       Date:  2020-09-04       Impact factor: 5.091

10.  Cost-effectiveness of intravitreal conbercept versus other treatments for wet age-related macular degeneration.

Authors:  Rui Chen; Bin Wu
Journal:  Ann Transl Med       Date:  2020-08
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