Literature DB >> 34516509

Clinical efficacy and safety of Huachansu injection combination with platinum-based chemotherapy for advanced non-small cell lung cancer: A systematic review and meta-analysis of randomized controlled trials.

Xinmei Tan1, Xueyan Liang2, Jiaxi Xi2, Sitong Guo2, Mingyu Meng2, Xiaoyu Chen2, Yan Li2.   

Abstract

BACKGROUND: Huachansu injection (HCS) is a widely used traditional Chinese medicine for advanced non-small cell lung cancer (NSCLC) to alleviate the adverse drug reactions (ADRs) and enhance the clinical efficacy of chemotherapy.
OBJECTIVE: To evaluate the efficacy and safety of HCS as an adjunctive treatment to platinum-based chemotherapy (PBC) for advanced NSCLC.
METHODS: A systematic review and meta-analysis were conducted according to PRISMA guidelines. A total of nine databases were searched to select randomized controlled trials (RCTs) of HCS plus PBC to treat NSCLC from inception to October 10, 2020. RCTs on HCS plus PBC vs PBC alone for advanced NSCLC were included. Dichotomous data were pooled as risk ratio (RR) with 95% confidence intervals. RCTs compared to HCS plus PBC vs PBC alone were included. Primary outcomes were objective response rate (ORR) and disease control rate (DCR), and secondary outcomes were survival rate, quality of life (QOL), and adverse drug reactions (ADRs). GRADE software was used to access the quality of evidence.
RESULTS: A total of 32 RCTs, including 2753 patients, were included. Compared to PBC alone, HCS plus PBC improved the ORR, DCR, 1- and 2-year survival rates, and QOL and alleviated neutropenia, thrombocytopenia, nausea, vomiting, anemia, liver injury, renal injury, and alopecia.
CONCLUSIONS: Compared to PBC alone, HCS plus PBC improved the clinical efficacy and alleviated the ADRs in advanced NSCLC patients. Considering the limitations of the included RCTs, high-quality trials with longer follow-ups are needed to further confirm the results.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 34516509      PMCID: PMC8428704          DOI: 10.1097/MD.0000000000027161

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


Introduction

Lung cancer accounts for 11.6% of all diagnosed cancers and is the leading cause of 18.4% of overall cancer-related mortalities, with 5% as the 5-year survival rate.[ Lung cancer is of two major types: non-small cell lung cancer (NSCLC) that accounts for approximately 85%, and small cell lung cancer (SCLC) that accounts for 15% of all lung cancers.[ Therefore, advanced progression and metastasis NSCLC patients are not suitable for surgery and have to receive chemotherapy, radiotherapy, or chemoradiotherapy that significantly improves the clinical efficacy.[ However, patients receiving chemoradiotherapy often suffer from multiple toxic effects and adverse drug reactions (ADRs), such as neutropenia, neurotoxicity, hepatorenal dysfunction, and other toxicities.[ All these ADRs lead to poor survival and affect the quality of life (QOL) in patients.[ Hence, the development of novel treatment strategies to improve tumor responses and reduce the risk of ADRs is a salient issue. Platinum-based chemotherapy (PBC) is the standard first-line therapy for advanced NSCLC,[ which consists of several types of platinum regimens, such as cisplatin, carboplatin, or oxaliplatin and several types of chemotherapy regimens, such as paclitaxel, docetaxel, vinorelbine, or gemcitabine.[ PBC doublet chemotherapy prolongs the median survival by approximately 1.5–2 months compared to single-agent PBC or other monotherapy in patients with NSCLC.[ Traditional Chinese medicine (TCM) combined with PBC has been widely used in China to treat advanced NSCLC. Previous meta-analyses[ published in Chinese, have assessed the efficacy and safety, but no definitive conclusions were reached. Also, the dosage and optimal concentration for combination with PBC to achieve the best efficacy and safety of the treatment are yet to be determined. Huachansu injection (HCS) is a traditional Chinese medicine extract, which has a long-term adjuvant effect on chemotherapy in patients with NSCLC.[ HCS is an injectable form of the sterilized hot-water extract of the skin glands of B. gargarizans,[ and the vital bioactive compounds of B. gargarizan include cinobufagin, resibufogenin, bufotenine, cinobufotenine, and serotonin.[ HCS was injected intravenously with 10–20 ml once a day. The treatment time per cycle was 7–28 days and treatment cycles were one to four cycles. Some clinical trials that evaluated the efficacy and safety of HCS combined with PBC for advanced NSCLC have been published. Therefore, the efficacy and safety of HCS plus PBC for patients with advanced NSCLC are yet to be clarified. Herein, we performed this systematic review and meta-analysis to provide evidence for the efficacy and safety of HCS plus PBC for the treatment of advanced NSCLC.

Materials and methods

We implemented this systematic review and meta-analysis following the Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA) guidelines.[ The protocol was pre-registered on the International Prospective Register of Systematic Reviews (PROSPERO): CRD42020212821. The study was approved by the ethics institutional review board of the People's Hospital of Guangxi Zhuang Autonomous Region.

Search strategy

PubMed, Medline (via OVID SP), Embase (via OVID SP), Cochrane Central Register of Controlled Trials (CENTRAL), Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), China Biological Medicine Database (CBM), Chinese Scientific Journals Full-Text Database (VIP), and Wanfang databases were searched systematically from their inception until October 10, 2020. The specific search strategies of Pubmed database are shown in Item S1 Supplemental Digital Content (see Item S1, which illustrates the specific search strategies of Pubmed database). No language restrictions were imposed.

Inclusion criteria

Participants, interventions, control/comparisons, outcomes, and study (PICOS) strategy was used to guide the researchers on the selection of randomized controlled trials (RCTs) for this meta-analysis. All studies were required to fulfill the following inclusion criteria: participants: Patients with advanced NSCLC and age ≥ 18 years. Patients should meet all of the following criteria: cytological or pathological examination diagnosis of NSCLC; at least one bidimensional measurable lesion; stage III/IV; Karnofsky performance status (KPS) scale ≥ 60;[ life expectancy ≥ 3 months; not received chemotherapy, radiotherapy, or surgery recently. interventions and comparisons: HCS combined with PBC; intervention in the control group: PBC alone and different types of PBC regimens are eligible. outcome: the primary outcomes were objective response rate (ORR) and disease control rate (DCR), while the secondary outcomes were survival rate, QOL, and ADRs; study design: RCTs.

Exclusion criteria

The studies that the following criteria were excluded from this meta-analysis: non-RCTs, reviews, meta-analysis, non-clinical studies, case reports, meeting abstracts, and observations studies; duplicated studies; incomplete, incorrect, or unavailable data, or the study did not provide any primary or secondary outcomes; treatment combined with any other herbs; inappropriate outcome reports.

Selection of studies

Two researchers (Liang and Xi) independently searched the databases comprehensively. Then, the duplicate records were deleted separately, and the eligible articles were screened and selected by reading the titles, abstracts, and necessary assessment of the full-text of the studies. The references of previous reviews and retrieved articles were comprehensively checked to identify additional eligible studies. Discrepancies were resolved by consensus.

Data collection and quality assessment

Two reviewers (Liang and Xi) independently extracted the data and the study information, such as age, gender, KPS, and sample size; intervention protocol of HCS, such as dosage, frequency, and course; concurrent PBC regimens; primary and secondary outcomes. The third reviewer examined the consistency of the extracted data. The methodological quality of the included studies was assessed by Xi and Liang using the Cochrane risk-of-bias tool.[

Statistical analysis

The statistical analysis of data was performed in Review Manager 5.4.0. (Cochrane Collaboration Software).[ Dichotomous outcomes were shown as risk ratios (RR) with 95% confidence intervals (CI). Considering the potential heterogeneity between the trials, I2 was used to quantitate the heterogeneity. I2≥ 50% or P ≤ .05 indicated a high statistical heterogeneity among trials. If no heterogeneity was observed (I2 < 50% or P > .05), the fixed-effects model was used, otherwise the data were evaluated using random-effects model. Subgroup analyses were performed based on the usage of HCS, different types of PBC regimens, and evaluation criteria of primary outcomes. Sensitivity analysis was performed by a leave-one-out analysis[ to observe the magnitude of influence of each study on the pooled RR. The significance level for this meta-analysis model was P value less than 0.05. To objectively measure the presence of publication bias, a Harbord test was performed.[ Duval and Tweedie trim-and-fill methods[ were used to evaluate the publication/reporting biases visually. In order to assess the confidence of the evidence and determine whether additional studies are required for sufficient conclusion, we conducted the trial sequential analysis (TSA) to guarantee against false positive (type I) or false negative (type II) errors. Two reviewers (Liang and Xi) independently evaluated the reliability of the evidence related to each outcome using the Grades of Recommendation Assessment, Development, and Evaluation (GRADE).[ The quality of the evidence was graded at the four following levels: high, moderate, low, and very low.

Results

Study identification and selection

A total of 461 studies were retrieved by literature search, and 302 duplicate articles were excluded. Then, 159 studies remained for further analysis. After evaluation of the titles and abstracts, 93 irrelevant articles were excluded. After reading the remaining 66 full-text papers, 34 studies were excluded for the following reasons: studies with an irrelevant study design (n = 21), non-RCTs (n = 4), lacking outcomes (n = 2), duplication of published articles (n = 2), and review and meta-analysis (n = 4). Finally, 32 studies were included in the current meta-analysis. Figure 1 showed the PRISMA schematic.
Figure 1

Flow diagram of study selection.

Flow diagram of study selection.

Characteristics of included studies

The main characteristics of the included studies are described in Table 1. Overall, 32 trials encompassing 2753 patients were included in the present meta-analysis. Patients received PBC as the pemetrexed plus cisplatin (AP, 1 trial), docetaxel plus carboplatin (DC, 1 trial), docetaxel plus cisplatin (DP, 4 trials), etoposide plus cisplatin (EP, 1 trial), gemcitabine plus cisplatin (GP, 6 trials), vinorelbine plus cisplatin (NP, 10 trials), paclitaxel plus carboplatin (TC, 1 trial), and paclitaxel plus cisplatin (TP, 8 trials). A total of 17 trials assessed the tumor responses based on the World Health Organization (WHO) guidelines,[ and 11 trials evaluated the same according to the response evaluation criteria in solid tumors (RECIST).[ Next, 8 trials assessed the ADRs based on WHO criteria, and 2 trials evaluated them based on Common Toxicity Criteria for Adverse Events.
Table 1

Characteristics of the included trials.

NSCLC(III-IV)Intervention and control protocol
First author, yearSample size (M/F)E/CAgeExperimentalControlDose/Days/CyclesOutcomes (evaluation criteria)
Bian et al 201563 (33/30)32/3125–56HCS + GPGP20 ml × 21d × 2ORR (RECIST), DCR (RECIST), QOL, ADRs (NR)
Bao et al 20119345/4854 (34–76)HCS + GPGP20 ml × 15d × 2ORR (WHO), DCR (WHO), QOL, ADRs (WHO)
Cao 200950 (28/22)25/2558 (40–75)HCS + NPNP20 ml × 21d × 3ORR (WHO), DCR (WHO), Survival rate
Cao et al 201680 (49/31)40/4057.41 ± 9.04HCS + DPDP10–20 ml × 28d × 1ORR (RECIST), DCR (RECIST), Survival rate, ADRs (NR)
Chen 201690 (50/40)45/4559.75 (39–76)HCS + GPGP20 ml × 28d × 2ORR (RECIST), DCR (RECIST), Survival rate, ADRs (WHO)
Chi et al 201998 (54/44)49/4954.5 ± 10HCS + DPDP10–20 ml × 28d × 3ORR (RECIST), DCR (RECIST), QOL, ADRs (CTCAE v4.0)
Deng 201868 (43/25)34/3453.23 ± 7.05HCS + TCTC20 ml × 21d × 2ORR (NR), DCR (NR)
Dong 201386 (47/39)46 /4046-69HCS + APAP30 ml × 21d × 4ORR (RECIST), DCR (RECIST), QOL
Hao et al 201692 (64/28)42/5058.13 ± 9.05HCS + TPTP20 ml × 5d × 3ORR (WHO), ADRs (NR)
Hu 201274 (43/31)36/38NRHCS + TPTP20 ml × 14d × 4–6ORR (RECIST), DCR (RECIST), Survival rate, QOL, ADRs (WHO)
Huang 200962 (35/27)32/3061.5 (49–74)HCS + GPGP20 ml × 21d × 2ORR (WHO), DCR (WHO)
Ji et al 201798 (45/53)49/4954.2 (25–75)HCS + DCDC20 ml × 14d × 4ORR (RECIST), DCR (RECIST), QOL, ADRs (CTCAE v4.0)
Jin 200760 (42/18)32/2865 (52–77)HCS + NPNP20 ml × 28d × 2ORR (WHO), DCR (WHO), QOL, ADRs (NR)
Lan 201796 (51/45)48/4843-73HCS + TPTP20 ml × 28d × 2ORR (NR), DCR (NR), ADRs (NR)
Li 201560 (29/31)30/3036-55HCS + TPTP20 ml × 21d × 2ORR (WHO), DCR (WHO)
Li et al 20096230/3234-76HCS + NPNP20 ml × 10–15d × 2ORR (WHO), DCR (WHO), QOL, ADRs (WHO)
Liu et al 200762 (42/20)32/3049.7 (33–68)HCS + NPNP20 ml × 21–28d × 2ORR (WHO), DCR (WHO), ADRs (NR)
Lu and Lu 201562 (37/25)31/3157 (41–71)HCS + NPNP20 ml × 10d × 2ORR (RECIST), DCR (RECIST)
Ma and Lu 2011217 (114/103)109/10845.8 (40–73)HCS + GPGP20 ml × 28d × 3ORR (RECIST), DCR (RECIST), Survival rate, ADRs (NR)
Miao et al 200787 (50/37)43/4453.5 (34–74)HCS + NPNP20 ml × 5d × 3–6ORR (WHO), DCR (WHO), QOL, ADRs (WHO)
Qiao et al 2006120 (87/33)60/6069.5 (60–76)HCS + NPNP20 ml × 28d × 1ORR (RECIST), DCR (RECIST), Survival rate, QOL, ADRs (NR)
Wang 200660 (42/18)30/3059.5 (38–72)HCS + TPTP20 ml × 28d × 2ORR (WHO), ADRs (WHO)
Wang and Shu 2009120 (67/53)60/6058.5 (37–77)HCS + TPTP20 ml × 21d × 2ORR (WHO), DCR (WHO), QOL
Wang et al 201877 (43/34)38/3968HCS + TPTP20 ml × 28d × 2Survival rate, QOL, ADRs (WHO),
Xiong and Li 200562 (42/20)32/3049.7 (33–68)HCS + NPNP20 ml × 21–28d × 2ORR (WHO), DCR (WHO), ADRs (WHO)
Yang and Sun 20164432/1267.98 (61–81)HCS + GPGP20 ml × 8d × 4ORR (WHO), DCR (WHO)
Yang and Xi 200660 (38/22)30/3052 (35–69)HCS + NPNP15 ml × 21d × 2ORR (WHO), DCR (WHO), QOL, ADRs (NR)
Yao et al 2018200 (121/79)100/10034-75HCS + DPDP20 ml × 5d × 3ORR (NR), DCR (NR), Survival rate
Ying and Hong 2018120 (83/37)60/6063 (45–75)HCS + EPEP20 ml × 28d × 3ORR (RECIST), DCR (RECIST)
Yu et al 201264 (39/25)32/3262 (49–71)HCS + DPDP20 ml × 28d × 2ORR (WHO), DCR (WHO), QOL, ADRs (NR)
Zhang et al 200172 (49/23)37/3550 (20–74)HCS + NPNP20–30 ml × 28d × 3ORR (WHO), DCR (WHO), QOL, Survival rate
Zhou 201494 (49/45)47/4759-82HCS + TPTP20 ml × 14d × 3ORR (WHO), DCR (WHO)
Characteristics of the included trials.

Risk of methodological bias

The risk of bias of all included trials was evaluated and is summarized in Figure 2. The random sequence generation of 11 studies used the random number table, and 4 trials used hospital or clinic record numbers. The allocation concealment and blinding method were not clear in most of the included trials, except in one that used a sealed envelope. All trials had complete follow-up. Selective reporting existed in 2 trials[ without completely report the DCR and another 1 trial[ did not have a complete report on ADRs.
Figure 2

Risk of bias of included studies. (A) Risk of bias summary: judgments about each bias item for each study; (B) Risk of bias summary graph.

Risk of bias of included studies. (A) Risk of bias summary: judgments about each bias item for each study; (B) Risk of bias summary graph.

Outcome measures

The findings of this meta-analysis are summarized in Table 2. The subgroup analysis results are summarized in Table 3. GRADE assessments are described in Table 4.
Table 2

Summary of the meta-analysis.

OutcomesTrialsHCS plus PBC (Evens/Total)PBC (Evens/Total)RR (95% CI)I2 P
ORR31706/1350487/13261.43 (1.31, 1.56)15%<.0001
DCR291085/1278899/12461.18 (1.13, 1.23)41%<.0001
Survival rate
 1-year survival rate8368/465327/4651.12 (1.05, 1.20)31%.0007
 2-year survival rate580/28746/2861.72 (1.26, 2.36)0%.0007
 QOL15331/619202/6151.62 (1.43, 1.85)45%<.0001
ADRs
 Neutropenia17347/722487/7210.71 (0.65, 0.78)36%<.0001
 Thrombocytopenia13201/603324/6040.62 (0.54, 0.70)24%<.0001
 Nausea and vomit17300/713470/7220.65 (0.59, 0.71)28%<.0001
 Anemia5113/233154/2380.74 (0.64, 0.87)0%.0002
 Liver injury9120/437177/4470.68 (0.58, 0.81)0%<.0001
 Renal injury765/346113/4240.63 (0.50, 0.78)0%<.0001
 Alopecia6216/331258/3330.84 (0.77, 0.92)46%.0002
Table 3

Subgroups analysis of primary outcomes.

Objective response rate (ORR)Disease control rate (DCR)
Study event ratesTrialsStudy event rates
SubgroupsTrialsHCS plus PBC (Evens/Total)PBC (Evens/Total)RR (95% CI)I2 P HCS plus PBC (Evens/Total)PBC (Evens/Total)RR (95% CI) I 2 P
Subgroups analysis via doses
 HCS (< 20 ml/times)342/11928/1191.50 (1.00–2.25)0%.05390/11973/1191.23 (1.04, 1.46)0%0.02
 HCS (20 ml/times)26617/1148424/11321.44 (1.32–1.58)26%< .000124920/1076766/10521.18 (1.13, 1.23)31%< 0.0001
 HCS (> 20 ml/times)247/8335/751.20 (0.89, 1.61)0%.23275/8360/751.12 (0.99, 1.28)88%0.08
Subgroups analysis via treatment time
 <14 days6164/278108/2691.52 (1.28, 1.82)82%<.00015207/236170/2191.14 (1.05, 1.25)52%0.003
 14 days372/13246/1341.59 (1.22, 2.08)0%.00073107/13278/1341.39 (1.19, 1.63)75%< 0.0001
 15 days124/4521/481.22 (0.80, 1.86)NA.36139/4540/481.04 (0.88, 1.23)NA0.65
 21 days10192/353131/3401.40 (1.19, 1.64)0%< .000110307/353269/3401.10 (1.03, 1.17)0%0.006
 28 days11254/542181/5351.38 (1.19, 1.59)0%< .000110425/512342/5051.22 (1.14, 1.31)0%< 0.0001
Subgroups analysis via treatment cycles
 1241/10036/1001.14 (0.80, 1.62)0%.47279/10067/1001.18 (0.99, 1.40)0%0.058
 216310/575227/5691.35 (1.19, 1.53)0%< .000115475/545420/5391.12 (1.06, 1.18)0%< 0.001
 39266/512178/5181.54 (1.34, 1.76)62%< .00018396/470327/4681.21 (1.12, 1.29)37%< 0.001
 4489/16346/1391.65 (1.25, 2.17)48%.00034135/16385/1391.34 (1.16, 1.55)92%< 0.001
Subgroups analysis via chemotherapy
 HCS plus AP vs AP133/4623/401.25 (0.90, 1.72)NA.18143/4638/400.98 (0.89, 1.09)NA0.76
 HCS plus DC vs DC117/498/492.13 (1.01, 4.46)NA.05134/4917/492.00 (1.31, 3.06)NA0.001
 HCS plus DP vs DP4103/22155/2211.87 (1.43, 2.45)53%< .00014180/221142/2211.27 (1.13, 1.42)0%< 0.0001
 HCS plus EP vs EP115/609/601.67 (0.79, 3.51)NA.18147/6031/601.52 (1.15, 2.00)NA0.003
 HCS plus GP vs GP6164/295101/2741.53 (1.26, 1.85)0%< .00016253/295205/2741.16 (1.06, 1.26)2%0.0007
 HCS plus NP vs NP10177/352141/3451.22 (1.04, 1.44)0%.0110301/352273/3451.08 (1.01, 1.16)0%0.03
 HCS plus TC vs TC111/3410/341.10 (0.54, 2.24)NA.79132/3425/341.28 (1.03, 1.59)NA0.03
 HCS plus TP vs TP7186/293140/3031.39 (1.21, 1.60)38%< .00015195/221168/2231.17 (1.07, 1.28)0%0.0005
Subgroups analysis via evaluation criteria
 WHO criteria17357/611260/5931.35 (1.21, 1.51)0%< .000115470/539405/5131.11 (1.05, 1.17)0%0.0003
 RECIST11262/557185/5511.39 (1.21, 1.61)0%< .000111453/557362/5511.23 (1.15, 1.32)72%< 0.0001
Table 4

GRADE evidence profile of clinical efficacy and safety.

Summary of the meta-analysis. Subgroups analysis of primary outcomes. GRADE evidence profile of clinical efficacy and safety.

Objective response rate (ORR)

A total of 31 trials, including 2676 participants, reported the ORR (Fig. 3). No statistical heterogeneity was detected among the trials (I2 = 15%). Therefore, we applied the fixed-effects model for the analysis. Compared to PBC alone, HCS plus PBC significantly increased the ORR (RR = 1.43, 95% CI: 1.31–1.56, P < .00001; Fig. 3).
Figure 3

Forest plot of improved ORR with HCS plus PBC versus PBC alone.

Forest plot of improved ORR with HCS plus PBC versus PBC alone.

Disease control rate (DCR)

A total of 29 trials with 2524 participants reported the DCR. Acceptable statistical heterogeneity was observed among the trials (I2 = 41%); hence, a fixed-effects model was used to evaluate the data. The results showed that HCS plus PBC significantly increased the DCR (RR = 1.18, 95% CI: 1.13–1.23, P < .00001; Fig. 4) compared with PBC alone.
Figure 4

Forest plot of improved DCR with HCS plus PBC versus PBC alone.

Forest plot of improved DCR with HCS plus PBC versus PBC alone.

Survival rate

The summary estimates of 8 trials reported data on 1- and 2- year survival rates. The results revealed that compared to PBC alone, HCS plus PBC improved the 1-year survival rate (RR = 1.12, 95% CI: 1.05–1.20, P = .0007; Fig. 5A) and 2-year survival rate (RR = 1.72, 95% CI: 1.26–2.36, P = .0007; Fig. 5B), without significant heterogeneity (I2 = 31% and 0%, respectively). The fixed effects model was applied.
Figure 5

Forest plot of survival rate with HCS plus PBC versus PBC alone. (A) 1-year survival rate; (B) 2-year survival rate.

Forest plot of survival rate with HCS plus PBC versus PBC alone. (A) 1-year survival rate; (B) 2-year survival rate.

Improvement of QOL

A total of 15 trials with 1234 participants reported data on QOL. These trials were pooled, and compared to PBC, HCS plus PBC was significantly improved the QOL (RR = 1.62, 95% CI: 1.43–1.85, P < .00001; Fig. 6), without significant heterogeneity (I2 = 45%). The fixed-effects model was applied.
Figure 6

Forest plot of improved QOL with HCS plus PBC versus PBC alone.

Forest plot of improved QOL with HCS plus PBC versus PBC alone.

ADRs

A total of 20 trials reported the ADRs with respect to neutropenia, thrombocytopenia, nausea and vomiting, anemia, liver injury, renal injury, and alopecia (see Figure S1–7 Supplemental Digital Contents, which illustrate the forest plots of different types of ADRs). This pooled analysis showed that HCS plus PBC was related to lower risk of neutropenia (RR = 0.71, 95% CI: 0.65–0.78, P < .00001), thrombocytopenia (RR = 0.62, 95% CI: 0.54–0.70, P < .00001), nausea and vomiting (RR = 0.65, 95% CI: 0.59–0.71, P < .00001), anemia (RR = 0.74, 95% CI: 0.64–0.87, P = .0002), liver injury (RR = 0.68, 95% CI: 0.58–0.81, P < .0001), renal injury (RR = 0.63, 95% CI: 0.50–0.78, P < .0001), and alopecia (RR = 0.84, 95% CI: 0.77–0.92, P = .0002) compared with PBC alone. No significant heterogeneity was detected (I2 = 36%, 24%, 28%, 0%, 0%, 0%, and 46%, respectively), and hence, the fixed effects model was applied.

Subgroup analysis of ORR and DCR

Subgroup analyses were conducted to explore and explain the sources of heterogeneity (Table 3). The doses were divided into < 20 mL/times, 20 mL/times, and >20 mL/times, respectively. The results of subgroup analysis revealed that patients who received < 20 mL/times and 20 mL/times of HCS showed improved ORR and DCR, respectively (Table 3 and Figure S8-9 Supplemental Digital Contents, which illustrate the forest plots of subgroups analysis of ORR and DCR via different doses of HCS). The treatment time in one cycle was divided into <14 days, 14 days, 15 days, 21 days, and 28 days, respectively. These findings suggested that except for treatment with 15 days, all different treatment times of HCS in one cycle could improve the ORR and DCR (Table 3 and Figure S10-11 Supplemental Digital Contents, which illustrate the forest plots of subgroups analysis of ORR and DCR via different treatment time of HCS). The treatment cycles were divided into 1–4 cycles, respectively. The results showed that except for treatment with one cycle, all the different treatment cycles of HCS increased the ORR and DCR (Table 3 and Figure S12-13 Supplemental Digital Contents, which illustrate the forest plots of subgroups analysis of ORR and DCR via different treatment cycles of HCS). The included type of PBC regimens was divided into AP, DC, DP, EP, GP, NP, TC, and TP, respectively. The results showed that except for AP, the other types of PBC regimens plus HCS improved the ORR and DCR (Table 3 and Figure S14-15 Supplemental Digital Contents, which illustrate the forest plots of subgroups analysis of ORR and DCR via different types of chemotherapy regimens of HCS). Finally, tumor responses were assessed according to WHO or RECIST guidelines. The subgroup analysis based on the above criteria revealed that HCS plus PBC improved the ORR and DCR (Table 3 and Figure S16-17 Supplemental Digital Contents, which illustrate the forest plots of subgroups analysis of ORR and DCR via different evaluation criteria of HCS).

Publication bias

Three types of funnel plots of primary and secondary outcomes are shown in Figure 7 and Figure S18 Supplemental Digital Content (see Figure S18, which illustrates the funnel plots of secondary outcomes), respectively. Most of the funnel plots displayed asymmetry on visual inspection. ORR results from the Harbord test did not reveal any significant publication bias (P = .115, Figure 7 and Table S1 Supplemental digital Content, which illustrates the evaluation results of publication bias). However, a significant publication bias was detected in DCR (P < .001, Figure 7 and Table S1 Supplemental Digital Content Table S1, which illustrates the evaluation results of publication bias). A sensitivity analysis was implemented using the trim-and-fill method, which yielded a symmetrical funnel plot (Fig. 7, Figure S18 Supplemental Digital Content, which illustrates the funnel plots of secondary outcomes and Table S1 Supplemental Digital Content, which illustrates the evaluation results of publication bias). The results of the trim-and-fill method exhibited robust RRs (Table S1 Supplemental Digital Content, which illustrates the evaluation results of publication bias), and the potential publication bias did not influence the significance of our results.
Figure 7

Funnel plots, Harbord test funnel plots to assess publication bias and trim-and-fill funnel plots of primary outcomes. (A) funnel plot of ORR; (B) Harbord test funnel plot of ORR; (C) trim-and-fill funnel plot of ORR; (D) funnel plot of DCR; (E) Harbord test funnel plot of DCR; (F) trim-and-fill funnel plot of DCR. Trim-and-filled funnel plot of RR from studies that investigated the association between insomnia and the risk of depression. The circles alone are real studies and the circles enclosed in boxes are ‘filled’ studies. The horizontal line represents the summary effect estimates, and the diagonal lines represent pseudo-95% CI limits.

Funnel plots, Harbord test funnel plots to assess publication bias and trim-and-fill funnel plots of primary outcomes. (A) funnel plot of ORR; (B) Harbord test funnel plot of ORR; (C) trim-and-fill funnel plot of ORR; (D) funnel plot of DCR; (E) Harbord test funnel plot of DCR; (F) trim-and-fill funnel plot of DCR. Trim-and-filled funnel plot of RR from studies that investigated the association between insomnia and the risk of depression. The circles alone are real studies and the circles enclosed in boxes are ‘filled’ studies. The horizontal line represents the summary effect estimates, and the diagonal lines represent pseudo-95% CI limits.

Sensitivity and meta-regression analysis

Sensitivity analyses were used to explore the potential sources of heterogeneity in primary outcomes and secondary outcomes, assess the influence of various exclusions on the pooled RRs, and evaluate the stability of the quantitative synthesis results. In the leave-one-out analysis by excluding each study sequentially, the overall pooled RRs did not change substantially (see Figure S19 Supplemental Digital Content, which illustrates the results of sensitivity analysis), indicating that the results were related to robustness. The meta-regression analysis suggested that the ORR and DCR were not improved as the HCS dosage (from 10 mL to 30 mL) or treatment time (from 5 days to 28 days) or cycle number increased (from 1 to 4) (Fig. 8).
Figure 8

Meta-regression analysis showing that the ORR and DCR was not improved with increased dosages, treatment time, and cycle number of HCS.

Meta-regression analysis showing that the ORR and DCR was not improved with increased dosages, treatment time, and cycle number of HCS.

TSA

We used TSA boundaries to evaluate the robustness of the results and calculated the a priori information size (APIS) in the meta-analysis. As shown in Figure 9, the Z-score curve (blue line) crossed the statistical significance boundary (red polylines), the required information size (vertical red line), and the conventional statistical significance boundary corresponding to a two-sided P-value of .05 (dark green lines). The results indicated that HCS plus PBC increased the ORR and DCR in NSCLC patients.
Figure 9

Trial sequential analysis. (A) ORR; (B) DCR.

Trial sequential analysis. (A) ORR; (B) DCR. Also, as shown in Figure S20 Supplemental Digital Content (see Figure S20 which illustrates the results of trial sequential analysis), the improvement in the 1-year survival rate and QOL and the reduction in neutropenia, thrombocytopenia, nausea and vomiting, anemia, and liver injury are definite and well-documented. The improvement in the 2-year survival rate and the decrease in the risk of renal injury need to be substantiated by additional studies (see Figure S20 Supplemental Digital Content, which illustrates the results of trial sequential analysis). However, although the graph results showed a significant difference between HCS plus PBC and PBC alone, the reduction in the risk of alopecia might be a false-positive result (see Figure S20 Supplemental Digital Content, which illustrates the results of trial sequential analysis).

Quality of evidence

We used GRADE to assess the quality of evidence with respect to the clinical efficacy and safety of HCS. Due to some uncertainty about the methodological risk of bias, and since the evidence was rated down by only one level, we were moderately confident in the outcomes of ORR, DCR, 1-year survival rate, QOL, neutropenia, renal injury, liver injury, nausea and vomiting, and thrombocytopenia. On the other hand, we had low confidence in the outcomes of 2-year survival rate, anemia, and alopecia, because except for the possible risk of bias, other factors need to be considered to assess the level of evidence, including insufficient sample size and few relevant studies (Table 4).

Discussion

This systematic review and meta-analysis encompassing 32 trials with 2753 patients demonstrated that PBC combination with HCS in the treatment of advanced NSCLC significantly improves the ORR, DCR, and QOL and decreases the risk of ADRs compared to PBC alone treatment. These findings are objective and completely unaffected by any focus groups, such as health professionals, users, policymakers, and providers. PBC is one of the standards first-line chemotherapy regimens for NSCLC. Despite continual improvements in chemotherapy agents, the clinical efficacy is unsatisfactory, with limited benefits, and patients suffer from chemotherapy-induced toxicity. Furthermore, the prognosis of advanced NSCLC remains poor, and hence, novel therapeutic strategies are urgently required. Prior to our study, one meta-analysis[ evaluated the effects of HCS plus first-line PBC, and two meta-analyses[ evaluated the effects of HCS plus chemotherapy on lung cancer, but no definitive conclusions were drawn because of the lower methodological quality of the RCTs included. Moreover, the latest published meta-analysis by Xu et al.[ did not determine the objective response, and insufficient data on ADRs, incomplete trials, and small sample size might weaken the statistical characteristics and reduce the credibility of the evidence. Therefore, we performed a comprehensive search and included several recently published RCTs to achieve clinical advancement and provide convincing evidence for the clinical application of a combination of HCS and PBC in the treatment of advanced NSCLC. Although most of the included trials had an unclear methodological risk of bias, the quality of the methods in the trials was consistent. TSA performed based on most of the outcomes revealed that the required information for a robust meta-analysis was collected, and the efficacy and safety of HCS plus PBC were significantly superior to those of PBC alone. The confidence of our study and the quality of the evidence were assessed by GRADE. The results of GRADE assessment suggested that the quality of evidence was moderate in most of the outcomes, including ORR, DCR, 1-year survival rate, QOL, neutropenia, renal injury, liver injury, nausea, vomiting, and thrombocytopenia. According to WHO and RECIST guidelines, the evaluation of the objective response and disease progression are crucial for the clinical assessment of cancer therapeutics.[ Both DCR and ORR are valuable endpoints for the evaluation of the efficacy of cancer treatment. Especially, the definition of DCR, including complete response (CR), partial response (PR), and no change (NC, stable disease), has been suggested to be the best response outcome to predict the overall survival (OS) and progression-free survival (PFS). Therefore, DCR was considered the primary outcome in our study.[ The current study revealed that HCS plus PBC significantly improves the 1- and 2-year survival rates in patients with advanced NSCLC compared to PBC alone. A previously published meta-analysis[ suggested that HCS combined with PBC significantly improves the QOL of patients with advanced NSCLC. Our results also demonstrated a significant improvement in the QOL in HCS plus PBC compared to PBC alone. PBC is related to many toxic ADRs in patients with NSCLC, which can severely reduce the QOL and decrease clinical efficacy. Thus, methods to reduce the risk of ADRs of chemotherapy while maintaining clinical efficacy are currently a research hotspot. This study confirmed that compared to PBC alone, HCS plus PBC significantly reduced the ADRs in patients with advanced NSCLC. B. gargarizans (Bufonidae family) is a small amphibian traditional medicinal animal for the pharmaceutical value of Chansu and Chanpi, and HCS (cinobufacini) is an injectable form of the sterilized hot-water extract of the skin glands of B. gargarizans.[ According to the principles of TCM, HCS is commonly used to counteract toxicity, alleviate pain, and induce resuscitation.[ More than 30 components have been discovered in the skin extract of B. gargarizans, and the vital bioactive compounds include cinobufagin, resibufogenin, bufotenine, cinobufotenine, and serotonin. Modern pharmacological published studies demonstrated that resibufogenin, cinobufagin, and bufalin inhibit tumor cells, and bufotenine, cinobufotenine, and serotonin regulate the nervous system.[ However, to clarify the function of HCS as an adjunct to chemotherapy, the specific mechanisms need to be elucidated. Although the present meta-analysis revealed favorable outcomes, several limitations cannot be ignored. First, the quality of the original studies was generally not high because most of the included studies reported inadequate detailed information of generating random sequences methods, allocation concealment methods, and blinding study design. Second, although we searched all the mainstream Chinese and English electronic databases, all the included trials were conducted in China, and thus, it is unclear whether the conclusions of this meta-analysis could be applied to advanced NSCLC patients worldwide, which reduces the universality of the conclusions. Third, GRADE revealed that the quality of 2-year survival rate, anemia, and alopecia was “low” due to the risk of bias and insufficient sample sizes. Despite the above limitations, the results of the current meta-analysis revealed a systematic evaluation of the efficacy and safety in multiple outcomes and provided clinical evidence of HCS plus PBC for the treatment of advanced NSCLC patients.

Conclusion

In summary, the moderate-quality evidence reveals that the combination of HCS with PBC is beneficial for the clinical efficacy and QOL and reduces the risk of chemotherapy-induced ADRs for patients with advanced NSCLC. HCS may be a valuable adjunctive treatment to PBC for the treatment of advanced NSCLC. However, eligible RCTs lack high methodological quality and potential risk of bias, and HCS needs to be further explored with respect to these outcomes. To further confirm the conclusion of the current study, high-quality, larger sample size, and well-designed RCTs are an urgent requisite.

Author contributions

Conceptualization: Xueyan Liang, Jiaxi Xi, Xinmei Tan. Data curation: Xueyan Liang, Jiaxi Xi, Xinmei Tan. Formal analysis: Xueyan Liang, Xinmei Tan. Funding acquisition: Xiaoyu Chen, Yan Li. Investigation: Xiaoyu Chen, Yan Li, Xinmei Tan. Methodology: Xueyan Liang, Jiaxi Xi, Xinmei Tan, Sitong Guo, Mingyu Meng, Xiaoyu Chen, Yan Li. Software: Xueyan Liang, Jiaxi Xi, Xinmei Tan, Sitong Guo, Mingyu Meng, Xiaoyu Chen, Yan Li. Validation: Jiaxi Xi, Sitong Guo, Yan Li. Visualization: Xueyan Liang, Mingyu Meng, Xiaoyu Chen. Writing – original draft: Xueyan Liang, Jiaxi Xi. Writing – review & editing: Xiaoyu Chen, Yan Li, Xinmei Tan.
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