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The Journal of Clinical Hypertension logoLink to The Journal of Clinical Hypertension
. 2022 May 10;24(6):667–676. doi: 10.1111/jch.14463

Incidence and risk of hypertension with lenvatinib in treatment of solid tumors: An updated systematic review and meta‐analysis

Hongxiao Wu 1, Xiaoyan Ding 1, Yongchao Zhang 1, Wei Li 1,, Jinglong Chen 1,
PMCID: PMC9180318  PMID: 35538636

Abstract

This meta‐analysis was performed to assess the relationship between Lenvatinib use for malignancy and hypertension (HTN). A total of 2483 patients met inclusion criteria. The relative risk (RR) for all‐grade and high‐grade (≧3) HTN were 2.61 (p ≦ .001) and 3.35 (p≦ .001), respectively, for Lenvatinib compared with other multitarget tyrosine kinase inhibitors or placebo. The cumulative incidence of all‐grade and high‐grade HTN was 70% and 34%, respectively. The studies with median treatment duration (TD) longer than 7.4 months demonstrated a higher incidence of high‐grade HTN than studies with shorter TD (34% vs 28%). The incidence of all levels of HTN increased with TD (68% vs 49%). Trials with median progression‐free survival (PFS) longer than nine months had a higher incidence of both all‐grade (37% vs 28%) and high‐grade (71% vs 48%) HTN. Lenvatinib, a drug commonly used in cancer treatment, is a risk factor for the development of HTN. A longer duration of Lenvatinib treatment was associated with higher frequency of HTN. Further investigation for Lenvatinib of the association between the occurrence of HTN and prognosis will be warranted.

Keywords: hypertension, Lenvatinib, meta‐analysis, solid‐tumors

1. INTRODUCTION

In 2020, there were 19.29 million new cancer cases with 9.96 million deaths worldwide. The treatment of malignancy continues to be a challenge. 1 Tumor growth and metastasis heavily depend on various signaling proteins, including vascular endothelial growth factor (VEGF), play a vital role in this process. 2 Antiangiogenic drugs inhibit the VEGF signal pathway, and have played an increasingly important role in the treatment of malignancy.

Lenvatinib is an oral tyrosine kinase inhibitor (TKI) that mainly acts on vascular endothelial growth factor receptor 1–3 (VEGFR 1–3), fibroblast growth factor receptor 1–4 (FGFR 1–4), platelet‐derived growth factor receptor (PDGFR), rearranged during transfection (RET), and c‐kit proto‐oncogene protein (c‐KIT). 3 Both the SELECT and the REFLECT trials demonstrated the efficacy of Lenvatinib in the treatment of solid tumors. 4 Other studies also confirmed the effectiveness of a combination regimen with Lenvatinib 5 , 6 , 7 ; thus, the Food and Drug Administration (FDA) has approved Lenvatinib for treatment for various solid tumors such as renal cell carcinoma, hepatocellular carcinoma, and thyroid cancer. 8

However, while Lenvatinib demonstrated a significant benefit for solid tumor treatment from different clinical trials, it also showed various adverse effects, the most common of which are hypertension (HTN) and hand‐foot skin reactions. 9 , 10 Uncontrolled HTN is a risk factor for the development cardiovascular and cerebrovascular disease (angina pectoris, myocardial infarction, hemorrhagic stroke and ischemic stroke), all of which have high mortality rates. 11 Several meta‐analyses have focused on HTN in cancer patients treated with Lenvatinib. A meta‐analysis conducted in 2016 analyzed the progression‐free survival (PFS) of Lenvatinib and placebo groups; as well as the incidence of various adverse events in the Lenvatinib group. However, only phase I and phase II studies were included, and the study did not further analyze the relative risk of HTN‐related adverse events in the use of lenvatinib. 12 Two following meta‐analyses published in 2021 also analyzed the efficacy and safety of Lenvatinib in the treatment of tumors, and calculated the incidence of various adverse events, 13 , 14 but did not further analyze the risk of Lenvatinib‐related‐HTN or whether treatment duration (TD), PFS, and overall survival (OS) were related to Lenvatinib‐associated HTN. The goal of our study is to comprehensively assess the risk of developing HTN in patients being treated with Lenvatinib, and to analyze the relationship between Lenvatinib‐related HTN and TD, PFS, and OS.

2. METHODS

2.1. Search strategy

On February 17, 2021, we searched PubMed, Web of Science, Cochrane, and Embase. Our search strategy included the following terms “Lenvatinib,” “Lenvima,” ‘E‐7080,’

“E 7080,” “Neoplasms,” “Neoplas*,” “Tumor,” “Cancer,” “Maligan*,” “Carcinoma*,” and, “Malignant Neoplasm*.” We also searched abstracts published at significant conferences by the American Society of Clinical Oncology and the European Society of Medical Oncology. We included the most complete and up‐to‐date trial report. Only clinical trials published in English were eligible for inclusion. The meta‐analysis was registered in PROSPERO (CRD42021244264).

2.2. Study selection

Trials that met the following criteria were selected for analysis: (i) prospective phase II and III trials of patients with solid tumors, (ii)whether previously treated with lenvatinib monotherapy, and (iii) trials from which could extract sufficient data related to HTN. We excluded phase Ⅰ trials because of dose variability. Case reports, reviews, corresponding letters, and editorials were also excluded.

2.3. Data extraction

Data extraction was performed independently by two independent investigators and resolved together in the case of any dispute, or further seeking help from a third investigator. The information we extracted included the first author's name, year of publication, study design, underlying malignancy, treatment arms and control arms, number of patients enrolled, median age, median OS (MOS), median PFS (MPFS), number of patients available for analysis, and the number of events of all‐ and high‐grade HTN.

Clinical endpoints

To investigate the occurrence and risk of HTN‐associated adverse events in patients using Lenvatinib, we set the study endpoint as HTN and used version 3 or 4 of the Common Terminology Criteria for Adverse Events (CTCAE) of the National Cancer Institute as standard to collect data, 15 version 4 of hypertension as follows: grade1, prehypertension (systolic blood pressure (BP) 120–130 mmHg or diastolic BP 8089 mmHg); grade 2, stage 1 hypertension (systolic BP 140–159 mmHg or diastolic BP 90–99 mmHg, medical intervention indicated, recurrent or persistent (≥ 24 h), symptomatic increase by > 20 mmHg (diastolic) or to >140/90 mmHg if previously within normal limits); grade 3, stage 2 hypertension (systolic BP ≥ 160 mmHg or diastolic BP ≥ 100 mmHg, medical intervention indicated, more than one drug or more intensive therapy than previously used indicated); grade 4, life‐threatening consequences (e.g., malignant hypertension). The CTCAE version 3 only used in one included trial (Table 1), the main difference of this version is that grade 1,asymptomatic, transient (<24 h) increase in BP of 20 mmHg (diastolic) or to > 150/100 mmHg if previously with normal limits, intervention not indicated; grade 2, recurrent or persistent (>24 h) or symptomatic increase by >20 mmHg (diastolic) or to > 150/100 mmHg if previously within normal limits, monotherapy might be indicated.

TABLE 1.

Baseline characteristics of 18 trials included in the meta‐analysis

Treatment Arm No. HTN events
Study (year) Study Design Histology Treatment Arm No. patients Control Arm No. patients Median Age Median OS (month) Median PFS (month) All grade (HTN%) High grade (HTN%) CTACE Ref
Vergote (2020) Phase Ⅱ EC Len 24 mg QD 133 NA NA 62 (38‐80) 10.6 (8.9‐14.9) 5.4 (3.7‐6.3) 65 (48.9%) 41 (30.8) 4 26
Ueno (2020) Phase Ⅱ BTC Len 24 mg QD 26 NA NA 64 (41‐78) 7.35 (4.5‐11.27) 3.19 (2.79‐7.23) 22 (84.6) 10 (38.5%) 4 27
Sato (2020) Phase Ⅱ Thymic carcinoma Len 24 mg QD 42 NA NA 55.5(49‐65) NA 9.3 (7.7‐13.9) 37 (88.1%) 27 (64.3%) 4 9
Iwasa (2020) Phase Ⅱ CRC Len 24 mg QD 30 NA NA 61.5 (42‐78) 7.4 (6.4‐10.8) 3.6 (2.6‐3.7) 24 (80%) 16 (53.3%) 4 28
Brose (2020) Phase Ⅱ RR‐DTC Len 24 mg QD 75 NA NA NA NA NR (22.1‐NR) NA 19 (25.3%) NA 29
Len 18 mg QD 77 NA NA NA NA 24.4(14.7‐NR) NA 15(19.5%) NA
Gao (2020) Phase Ⅱ Thymic carcinoma Len 24 mg QD 103 Placebo 48 60 NA 23.9 (12.9‐NE) NA 64 (62.1%) NA 30
Tchekmedyian (2020) Phase Ⅱ ACC Len 24 mg QD 32 NA NA 57 (38‐73) NA 17.5 (7.2‐NR) NA 9 (28.1%) NA 31
Takahashi (2019) Phase Ⅱ TC Len 24 mg QD RR‐DTC:25 NA NA 58(21‐74) 31.8(31.8‐NR) 25.8(18.4‐NR) 24(96%) 15(60%) 4 32
MTC:9 NA NA 58 (41‐79) 12.1 (3.8‐NR) 9.2 (1.8‐NR) 8 (88.9%) 2 (22.2%) 4
ATC:17 NA NA 65 (36‐84) 10.6 (3.8‐19.8) 7.4 (1.7‐12.9) 14 (82.4%) 5 (29.4%) 4
Hida (2019) Phase Ⅱ LAC Len 24 mg QD 25 NA NA 63 (34‐78) NA 7.3 (3.6‐10.2) 17 (68%) 14 (56%) NA 33
Kudo (2018) Phase III HCC Len 12/8 mg QD 478 Sorafenib 476 63 (22‐88) 13.6 (12.1‐14.9) 7.4 (6.9‐8.8) 201 (42.1%) 111 (23.2%) 4 4
Locati (2018) Phase Ⅱ ACC Len 24 mg QD 28 NA NA 55 (22‐73) 26.1 (11.1‐NR) 9 (5.5‐14.2) 21 (75%) 5 (17.9%) 4 34
Ikeda (2017) Phase Ⅱ HCC Len 12 mg QD 46 NA NA 66.5 (37‐80) 18.7 (12.7‐25.1) NA 35 (76.1%) 25 (54.3%) 3 10
Schlumberger (2016) Phase Ⅱ TC Len 24 mg QD 59 NA NA 51.6 (22‐74) 16.6 (16.4‐NE) 9 (7‐NE) 30 (50.8%) 4 (0.7%) NA 35
Schlumberger (2015) Phase III TC Len 24 mg QD 261 Placebo 131 64 NE (22‐NE) 18.3 (15.1‐NE) 177 (67.8%) 109 (41.8%) 4 4
Cabanillas (2015) Phase Ⅱ TC Len 24 mg QD 58 NA NA 63 (34‐77) NA 12.6 (9.9‐16.1) 44 (75.9%) 6 (10.3%) NA 36
Motzer (2015) Phase Ⅱ RCC Len 24 mg QD 52 Lenvatinib + everolimus 51 64 (41‐79) 18.4 (13.3‐NE)) 7.4 (5.6‐10.2) 25 (48.1%) 9 (17.3%) 4 37
Everolimus 50 64 (41‐79)
O'Day (2013) Phase Ⅱ Melanoma Len 24 mg QD 93 NA NA 64 9.5 (8.3‐12.9) 3.7 (2.5‐4) 55 (59.1%) 32 (34.4%) NA 38
Sherman (2011) Phase Ⅱ TC Len 24 mg QD 58 NA NA 62 NA 12.6 (10.4‐14.1) 37 (63.8%) NA NA 39

EC, endometrial cancer; BTC, biliary tract cancer; CRC, colorectal cancer; RR‐DTC, radioiodine‐refractory differentiated thyroid cancer; ACC, adenoid cystic carcinoma; TC, thyroid cancer; LAC, lung adenocarcinoma; HCC, hepatocellular carcinoma; RCC, renal cell carcinoma; NA, not available; NE, not reached; Len, Lenvatinib.

2.4. Statistical analysis

For all selected studies, we calculated the cumulative incidence and 95% confidence interval (CI) of all grades and high grades of HTN, and for studies with a control group, we also calculated the risk ratio (RR) and its 95% CI to assess the strength of association between Lenvatinib and HTN adverse events. Used Stata 16.0 version (Stata Corporation, Colleges Station, TX, USA) for all calculations, and both the fixedeffects model and the random‐effects model were optional. Regarding the heterogeneity test, we chose I2, and if I2≧50%, we chose the random‐effects model and conversely the fixed‐effects model. The p value for significance was set at .05, and all 95% CIs were provided. In addition, we performed a meta‐analysis to explore further the correlation between PFS and OS and HTN caused by treatment with Lenvatinib. We used Egger's test and the funnel plot method to assess the possible publication bias.

3. RESULTS

3.1. Search results

Four thousand eight hundred eighty‐four articles were initially reviewed, of which 18 met inclusion criteria. A total of 1727 patients were treated with Lenvatinib in these 18 studies, and the specific screening process is presented in Figure 1. The baseline characteristics of the studies included in this study are shown in Table 1. The underlying malignant tumors for these trials included endometrial cancer (one study), biliary tract cancer (one study), thymic carcinoma (two studies), colorectal cancer (one study), thyroid cancer (six studies), lung cancer (one study), hepatocellular carcinoma (two studies), adenoid cystic carcinomas (two studies), renal cell carcinoma (one study), and melanoma (one study). The starting dose and schedule of Lenvatinib were based on the US FDA guideline; different doses were used according to different tumors, but three dosing schedules were mainly used: 24 mg QD, 12 mg QD, and 8 mg QD.

FIGURE 1.

FIGURE 1

Flow chart of literature search and study selection. A total of 4884 articles were initially retrieved. After carefully reviewed 18 articles reporting the incidence and risk of hypertension with Lenvatinib in treatment of solid tumors

3.2. The overall incidence of HTN

One thousand seven hundred twenty‐seven patients from 18 studies were treated by Lenvatinib monotherapy, and 1440 people were included in the analysis of the incidence of all grades of HTN. A total of 1669 people were included in the analysis of high grades (≧3) of HTN. The reason for the unequal number of patients is that some studies reported the number of patients with all grades of HTN, whereas other studies only reported the number of patients with grade 3 or higher HTN. For the calculation of the cumulative incidence of HTN, we used a random‐effects model, which gave an incidence of all and high grades of HTN of 70% (95%CI: 0.6_0.79, p≦.001) and 34% (95%CI: 0.27_0.42, p≦.001; Figure 2).

FIGURE 2.

FIGURE 2

Forest plots of the incidence of all‐grade hypertension (A) and high‐grade hypertension (B) and 95% CI in Lenvatinib‐treated patients

3.3. The risk ratio of hypertension events

Four of the screened studies were controlled studies, and we further analyzed the relative risk of HTN with Lenvatinib. For all grades of HTN, there were 1499 patients from three studies, including four cohorts involved in the analysis, and the resulting RR was 2.61 (95%CI: 1.18_5.78, = .018; Figure 3). For HTN grade 3 and above, we included 1650 people from four studies, including five subgroups, and the RR obtained was 3.35 (95%CI: 1.52_7.42, = .003; Figure 3).

FIGURE 3.

FIGURE 3

Forest plots of the relative risk of all‐grade hypertension and high‐grade hypertension and 95% CI in Lenvatinib‐treated patients

3.4. Subgroup analysis

To further explore whether the TD, OS, and PFS were related to the risk of Lenvatinib‐related HTN, we conducted a subgroup analysis to calculate the cumulative incidence of HTN according to the median TD (7.4 months), median OS (12.85 months), and median PFS (9 months). The studies with median TD longer than 7.4 months demonstrated a higher incidence of high‐grade HTN compared with studies with shorter TD (34% [95%CI: 0.30_0.38] vs 28% [95%CI: 0.25_0.32], p≦ .001). With the extension of TD, the incidence of all levels of HTN increased. Trials with median PFS longer than nine months also had a higher incidence of both all‐grade and high‐grade HTN (Table 3). However, trials with median OS longer than 12.85 months showed a lower incidence of HTN (Table 3). We also performed a subgroup analysis based on underlying malignancy and found the incidence of Lenvatinib‐related HTN higher in thymic cancer, rectal cancer, and lung adenocarcinoma (Table 2).

TABLE 3.

The relationship between hypertension and prognosis

All‐grade High‐grade
Subgroup Study No. Lenvatnib No. HTN events Incidence of HTN (95%CI) RR of HTN (P) Study No. lenvatinib No. HTN enents Incidence of HTN (95%CI) RR of HTN (P)
Stratified by treatment duration
<7.4 months 5 725 354 0.49 (0.45,0.52) 2.25 (0.000) 5 725 206 0.28 (0.25,0.32) 1.30 (0.038)
≥7.4 months 7 506 345 0.68 (0.64,0.72) 7 506 172 0.34 (0.30,0.38)
Stratified by OS
<12.85 months 6 308 188 0.61 (0.56,0.66) 0.61 (0.000) 6 308 106 0.34 (0.29,0.40) 0.62 (0.002)
≥12.85 months 5 688 336 0.49 (0.45,0.53) 5 688 169 0.25 (0.21,0.28)
Stratified by PFS
<9 months 6 824 399 0.50 (0.46,0.53) 2.55 (0.000) 7 858 238 0.28 (0.25,0.31) 1.52 (0.000)
≥9 months 9 570 402 0.70 (0.66,0.74) 10 694 256 0.37 (0.33,0.40)

TABLE 2.

Incidence of HTN in cancer patients stratified by underlying malignancy

All‐grade High‐grade
Subgroup Study No. Lenvatnib No. HTN events Incidence of HTN (95%CI) Study No. lenvatinib No. HTN enents Incidence of HTN (95%CI)
Stratified by underlying maglinancy
EC 1 133 65 49% (0.40,0.57) 1 133 41 31% (0.23,0.39)
BTC 1 26 22 85% (0.71,0.98) 1 26 10 38% (0.20,0.57)
Thymic carcinoma 1 42 37 88% (0.78‐0.98) 2 145 91 63% (0.55‐0.71)
CRC 1 30 24 80% (0.66,0.94) 1 30 16 53% (0.35,0.71)
TC 5 487 334 69% (0.64,0.73) 5 581 175 30% (0.26,0.34)
ACC 1 28 21 75% (0.59,0.91) 2 60 14 23% (0.13,0.34)
HCC 2 522 236 45% (0.41,0.49) 2 522 136 26% (0.22,0.30)
LAC 1 25 17 68% (0.50,0.86) 1 25 14 56% (0.37,0.75)
RCC 1 52 25 48% (0.34,0.62) 1 52 9 17% (0.07,0.28)
Melanoma 1 93 55 59% (0.49,0.69) 1 93 32 34% (0.25,0.44)

3.5. Publication bias and sensitivity analysis

We first used funnel plots to assess the possible publication bias and found that the graph obtained was not completely symmetrical (Figure 4). Therefore, Egger's and Begg's tests were used for quantitative analysis to evaluate the possible publication bias (Figure 5). Both test methods suggested p>.05, so we believe that HTN incidence in this study was not subject to publication bias. With <10 studies reported on RR of HTN, we did not perform an analysis of RR‐related publication bias.

FIGURE 4.

FIGURE 4

Funnel plots of publication bias of all‐grade hypertension (A) and high‐grade hypertension (B) in Lenvatinib‐treated patients

FIGURE 5.

FIGURE 5

Egger's and Begg's tests for publication bias of all‐grade hypertension and high‐grade hypertension in Lenvatinib‐treated patients

4. DISCUSSION

Our meta‐analysis showed that, RR had a strong correlation with the incidence of both all‐grade (2.61, 95%CI: 1.18_5.78, = .018 ) and high‐grade HTN (3.35, 95%CI: 1.52_7.42, = .003) HTN, suggesting that HTN incidence increased during oral administration of Lenvatinib. This is consistent with known literature. 13 Numerous trials involving the treatment of solid tumors with Lenvatinib have reported a higher incidence of Lenvatinib‐associated all‐grade HTN of between 42% and 76%4,. 4 , 10 However, the study by Antonio and associates 3 concluded that Lenvatinib did not statistically differ from sorafenib in the incidence of serious adverse events, including HTN. Further research is required to explore whether the incidence of HTN associated with Lenvatinib is different compared with other TKI drugs.

Lenvatinib is well known for improving the PFS and OS of cancer patients, and the efficacy of Lenvatinib in the treatment of solid tumors has been well‐demonstrated in exciting literature. 16 , 17 , 18 However, these studies did not mention the incidence of Lenvatinib‐related adverse events in relation to TD, PFS, and OS. Therefore, we also performed a subgroup analysis to explore the relationship between duration, PFS, and OS HTN incidence. When median TD was longer than 7.4 months and median PFS was longer than nine months, the incidence of HTN was significantly increased. However, when the median OS was longer than 12.85 months, the incidence of high‐grade HTN decreased (25% [95%CI: 0.21_0.28] vs 34% [95%CI: 0.29_0.40], p≦ .001), and similarly, the incidence of all‐grade HTN also decreased. The reason for this may be that one random controlled trial lacking OS data was excluded from the OS subgroup analysis, which affected the accuracy of the analysis results. For this reason, we further analyzed the research that included both PFS and OS data, and found that the incidence of HTN also decreased with the extension of PFS (all‐grade: 59% [95%CI: 0.53‐0.65] vs 48% [95%CI: 0.45_0.52], p≦.001; high‐grade: 35% [95%CI: 0.30‐0.41] vs 23% [95%CI: 0.19_0.26], p≦.001), we believe this is due to the small sample size included in the study, and RCTs with a relatively large sample size are eliminated. Besides, different tumors have different survival times, and targeted therapy is not the only factor that affects OS, it may lead to differences in data. Our meta‐analysis showed that longer Lenvatinib treatment was associated with higher frequency of HTN, but since the included studies did not measure outcomes in persons with and without Lenvatinib‐induced HTN, it was not possible to conclude whether hypertension was associated with better prognosis. However, it has previously been shown that an increase in early blood pressure is associated with better efficacy and improved prognosis, 19 and the recent SELECT study found that hypertension adverse events occurring with Lenvatinib in the treatment of radioiodinerefractory thyroid cancer (RR‐DTC) were associated with better PFS (18.8 vs 12.9 months; = .0085) and OS (not‐reached vs 21.7months; = .0003), suggesting that HTN may be predictive of the efficacy of Lenvatinib in this population. 20 Therefore, based on the above information, we hypothesize that Lenvatinib treatment‐related HTN may be associated with better prognosis in cancer patients, but further large prospective randomized controlled trials are warranted.

Hypertension is a common complication of antiangiogenic agents in the treatment of malignancies, and there have been case reports of acute HTN with the use of TKIs. 21 , 22 However, the specific mechanism by which antiangiogenic drugs such as Lenvatinib cause HTN is not yet understood. Possible mechanisms include multifaceted interactions such as those related to neurostimulators factors, the renin‐angiotensin aldosterone system, the endothelin signaling pathway, and the nitric oxide signaling pathway. 23 , 24 , 25

It should be noted that although the occurrence of HTN may be associated with improved patient prognosis, when HTN occurs, patients should receive antihypertensive treatment as soon as possible to avoid more serious sequela. In addition, for the patients treated with VEGF signaling inhibitors, they should follow recommendations of cardiovascular toxicity management as follows, first, making sure that if they are suffering hypertension prior to treatment, second, measuring blood pressure actively throughout total treatment to assess the risk for potential cardiovascular complications. 23 Timely treatment of HTN can effectively reduce the reduction rate and withdrawal rate of Lenvatinib. So far, there is no internationally recognized recommendation on the choice of drug for Lenvatinib‐related HTN, or how the setting of blood pressure management goals will affect the efficacy of TKIs. AS the literature included in our study did not mention data on further treatment after the occurrence of HTN, analyzing the efficacy of different drugs in the treatment of Lenvatinib‐related HTN was not possible.

Our meta‐analysis has some limitations. The included studies did not describe HTN at baseline, so the incidence of HTN in our articles may be underestimated. We included a large number of phase Ⅱ trials; more reliable randomized controlled trials were lacking, and the small number of included studies precluded analysis according to tumor type and demographic factors, all of which lead to a degree of heterogeneity. Although we further analyzed the relationship between the incidence of HTN with PFS and OS, the presence of various confounders, reduced the validity of the statistics.

In conclusion, despite the above limitations, our meta‐analysis, based on the included studies, indicated a significantly high risk of Lenvatinib‐related HTN. With prolonged TD and PFS, the incidence of both all‐grade and high‐grade HTN is significantly increased. However, whether Lenvatinib treatment‐related hypertension is associated with better prognosis needs to be further demonstrated.

CONFLICTS OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

AUTHOR CONTRIBUTIONS

Conception/design: Jinglong Chen and Wei Li. Collection and/or assembly of data: Hongxiao Wu and Yongchao Zhang. Data analysis and interpretation: Hongxiao Wu, Xiaoyan Ding, and Yongchao Zhang. Manuscript writing: Hongxiao Wu. Revision: Jinglong Chen, Wei Li, and Xiaoyan Ding. Final approval of manuscript: Hongxiao Wu, Yongchao Zhang, Xiaoyan Ding, Wei Li, and Jinglong Chen.

ACKNOWLEDGEMENTS

This study is supported by Major Special Projects on AIDS and Viral Hepatitis (grant number 2018ZX10303502‐003).

Wu H, Ding X, Zhang Y, Li W, Chen J. Incidence and risk of hypertension with Lenvatinib in treatment of solid tumors: An updated systematic review and meta‐analysis. J Clin Hypertens. 2022;24:667–676. 10.1111/jch.14463

Contributor Information

Wei Li, Email: weili8989@ccmu.edu.cn.

Jinglong Chen, Email: cjl6412@ccmu.edu.cn.

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