Literature DB >> 26316712

Incidence and risk of hypertension with bevacizumab in non-small-cell lung cancer patients: a meta-analysis of randomized controlled trials.

Jian Chen1, Yingfeng Lu2, Yunliang Zheng3.   

Abstract

AIM: A study was conducted to determine the overall risk and incidence of hypertension with bevacizumab in non-small-cell lung cancer (NSCLC) patients.
MATERIALS AND METHODS: Electronic databases such as the Embase, PubMed, and Cochrane Library were searched for related trials. Statistical analyses were conducted to calculate the overall incidence rates, odds ratios (ORs), and 95% confidence intervals (CIs) by using either random-effect or fixed-effect models depending on the heterogeneity.
RESULTS: A total of 3,155 subjects from nine studies were included. The overall incidences of all-grade and high-grade hypertension in NSCLC patients were 19.55% (95% CI 10.17%-34.3%) and 6.95% (95% CI 5.81%-8.30%). Bevacizumab use was associated with a significantly increased risk in all-grade hypertension (OR 8.07, 95% CI 3.87-16.85; P=0.0002) and high-grade hypertension (OR 5.93, 95% CI 3.41-10.32; P<0.0001). No evidence of publication bias was determined for the ORs of hypertension in our meta-analysis.
CONCLUSION: Bevacizumab is associated with a significantly increased risk of hypertension development in NSCLC patients. Early monitoring and effective management of hypertension might be important steps for the safe use of this drug.

Entities:  

Keywords:  bevacizumab; hypertension; meta-analysis; non-small-cell lung cancer

Mesh:

Substances:

Year:  2015        PMID: 26316712      PMCID: PMC4547635          DOI: 10.2147/DDDT.S87258

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Lung cancer is the leading cause of cancer-related mortality in the world, and non-small-cell lung cancer (NSCLC) is the diagnosis in approximately 85% of lung cancer patients.1 Platinum-based doublet chemotherapy is the first-line treatment option for NSCLC;2 however, only 35% of the patients respond to standard treatment.3 Targeted therapies, such as the vascular endothelial growth factor receptor (VEGFR) inhibitors or other monoclonal antibodies, have been clinically validated to improve the outcome of NSCLC patients.4,5 vascular endothelial growth factor (VEGF) can activate VEGFR and downstream signaling molecules, thereby promoting tumor angiogenesis. Bevacizumab is a novel orally recombinant humanized monoclonal anticancer agent that inhibits the VEGF pathway, which is a crucial growth driver for tumor growth, invasion, and metastasis.6 The clinical benefits of bevacizumab administration in NSCLC patients have been observed in several trials.5,7,8 In a previous Phase III trial, bevacizumab reduced the risk of disease progression by 50% in NSCLC patients compared with controls.9 In a previous meta-analysis, the inclusion of bevacizumab to platinum-based chemotherapy significantly extended progression-free survival and overall survival.10 Bevacizumab can effectively treat NSCLC, but using this drug can lead to significant toxic reactions, such as diarrhea, nausea, hemorrhage, fatigue, neuropathy, joint pain, venous thromboembolism, and hematologic toxicity.8,11,12 NSCLC patients treated with bevacizumab may also develop hypertension. A Phase II study of Japanese patients who received first-line carboplatinpaclitaxel (CP) with or without bevacizumab showed that 57 of 119 patients who received bevacizumab had developed all-grade hypertension compared with six of 58 patients in the control group. Grade ≥3 hypertension was not reported in any patients treated with CP alone, but the condition occurred in 11% of the patients treated with bevacizumab–CP.11 However, because of the limited number of hypertension events in each clinical trial, the overall incidence and risk of hypertension caused by bevacizumab has not been well defined. A study on the occurrence of hypertension in patients receiving bevacizumab treatment may offer additional insights into the underlying mechanisms, risk factors, and potential management strategies. Moreover, hypertension events should be monitored because poor management may lead to serious cardiovascular events, dose reduction, or even life-threatening consequences. Therefore, we conducted this meta-analysis to investigate hypertension incidence and relative risk among bevacizumab-treated NSCLC patients.

Materials and methods

Search strategy and study selection

Because this study was based on data extracted from registries, it was exempt from human subjects review, and members of the study population did not have to provide informed consent. We searched electronic databases for literature published up to April 2015; these databases were Embase (from 1974), PubMed (from 1967), and the Cochrane Library. The search terms, used as free text or MeSH (Medical Subject Headings) terms for the queries, were: “non-small-cell lung cancer” and “carcinoma, non-small-cell lung”; “bevacizumab”; and “randomized controlled trials”, “clinical trials”, “controlled clinical trials”, “clinical trial as topic”, or “randomized controlled trial as topic”. In addition, we searched for relevant randomized controlled trials (RCTs) among the meeting abstracts and virtual presentations of the American Society of Clinical Oncology (http://www.asco.org/ASCO) published up to 2015. Additionally, we searched a clinical trial-registration website (ClinicalTrials.gov) to obtain information on registered clinical trials. Study selection was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Clinical trials that met the following criteria included: 1) patients with NSCLC, 2) prospective Phase II or III RCTs that compared bevacizumab with controls, and 3) available data regarding events of hypertension. Data on hypertension were extracted from the safety profile of each RCT. These clinical end points were obtained according to the Common Terminology Criteria for Adverse Events (CTCAE) of the National Cancer Institute (http://ctep.cancer.gov/reporting/ctc_archive.html).

Data extraction and quality assessment

Independently, two investigators (Yunliang Zheng and Jian Chen) extracted data from the included trials, and the respective studies were retrieved for further consideration if judged pertinent by one or two reviewers. Any discrepancies were identified and resolved by consensus. For each trial, the following data were extracted: first author’s name, year of publication, treatment arm, media progression-free survival, media overall survival, number of patients in the bevacizumab and control groups, and adverse outcomes (all-grade hypertension and high-grade hypertension). The Jadad criteria were used to assess the quality of all included RCTs in this review.13 Scores ranged from 0 to 5, with a high score indicating a high-quality study.

Data analysis

The principal summary measures were the incidence, odds ratio (OR), and corresponding 95% confidence interval (CI). For the calculation of incidence, the number of patients with all grades and high grades (grades 3 and 4) of hypertension, as well as the number of patients receiving bevacizumab, were obtained. The proportion of patients with hypertension and the 95% CI was derived for each study. The OR of hypertension was only calculated for studies that assigned a control group in the same trial. P-values less than 0.05 were considered significant. The Peto method was used to calculate the OR and the 95% CI, because this method provided the best CI coverage; this method was more powerful and relatively less biased in addressing low event rates.14 Heterogeneity was assessed by the Q-statistic and I2 tests among clinical trials.15,16 Heterogeneity was considered statistically significant when P<0.1 or I2>40%. If heterogeneity was present, the data were analyzed by a random-effect model; otherwise, a fixed-effect model was used. The presence of publication bias was evaluated by funnel plots, Begg’s test, and Egger’s test.17,18 All data analyses were performed with R software, version 3.0.3 (R Foundation for Statistical Computing [http://www.r-project.org]).

Results

Search results and trial characteristics

A total of 1,776 studies were retrieved from an initial search. After reviewing each study, 1,767 studies were excluded. Figure 1 outlines the details of the selection process. The remaining nine studies8,9,11,12,19–23 had a total of 3,155 subjects that met our inclusion criteria, and were included in our analyses. The age of all subjects was over 18 years. The number of female subjects was 769 in the bevacizumab-treatment group, and the number of female subject was 527 in the control group. The characteristics of each trial are summarized in Table 1. The quality of the nine clinical trials was high: two studies had Jadad scores of 5,9,12 which provided the number of patients who withdrew and dropped from the trials, as well as described the methods of randomization and blinding. Two studies had Jadad scores of 4,8,11 which were attributed to the fact that the investigators did not appropriately describe the methods of blinding or randomization. Five studies had Jadad scores of 3.19–23 Meta-analysis was performed by following the guidelines of the PRISMA statement (Table S1).
Figure 1

Flowchart demonstrating the study-selection process.

Abbreviation: RCTs, randomized controlled trials.

Table 1

Baseline characteristics of trials included in the meta-analysis (n=3,155)

StudyYearTrial phaseTreatment armsMedian PFS (months)Median OS (months)HEs, n
Enrolled patients, nJadad score
All gradeHigh grade
Johnson et al820042Beva + PC717.7112674
PC5.914.91132
Sandler et al1920063Beva + PC6.212.3NR304273
PC4.510.3NR3440
Herbst et al2020072Beva + DP4.812.662393
DP38.60042
Reck et al1220093Beva + CG6.513.4NR496595
Placebo + CG6.113.1NR5327
Herbst et al920113Beva + Erl3.49.3NR153135
Placcbo + Erl1.79.2NR4313
Soria et al2120112PC + Dulanermin5.59.8NRNR393
Beva + Dulanermin8.613.922NR81
Niho et al1120122PC6.922.860584
Beva + PC5.923.45713119
Spigel et al2220122Beva + IC6.713.26NR403
IC5.39.31NR42
Boutsikou et al2320133Beva + DCNR19.132563
DCNR15.30061

Abbreviations: PFS, progression-free survival; OS, overall survival; HEs, hypertension events; Beva, bevacizumab; PC, paclitaxel + carboplatin; DP, docetaxel or pemetrexed; CG, cisplatin + gemcitabine; Erl, erlotinib; IC, ixabepilone + carboplatin; DC, docetaxel + carboplatin; NR, not reported.

Incidence of all-grade and high-grade hypertension

A total of 402 patients from six studies8,11,20–23 were treated with bevacizumab, and the incidence of all-grade hypertension was analyzed. The incidence of all-grade hypertension ranged from 5.36% to 47.9%. The highest incidence occurred in a Phase II trial of Japanese patients with advanced non-squamous NSCLC.11 The lowest incidence was recorded in a Phase III trial.23 Based on data from included trials, the calculated overall incidence of all-grade hypertension was 19.55% (95% CI 10.17%–34.3%; Figure 2) according to the random-effects model (I2=88.3%, P<0.001).
Figure 2

Forest plot for the meta-analysis of the incidence of all-grade hypertension with bevacizumab-treated patients.

Abbreviation: CI, confidence interval.

High-grade (grade 3 or 4) hypertension had serious adverse reactions that might have been associated with distinct morbidity and could result in the discontinuation of bevacizumab treatment. A total of 1,680 patients from seven trials were available for the incidence of high-grade hypertension analysis.8,9,11,12,19,20,23 The incidence of high-grade hypertension ranged from 2.99% to 10.92%. The highest incidence occurred in the Phase II trial of Japanese patients with advanced nonsquamous NSCLC.11 The lowest incidence occurred in patients with advanced or metastatic NSCLC.8 The overall incidence of high-grade hypertension was 6.95% (95% CI 5.81%–8.30%; Figure 3) according to the fixed-effect model (I2=24.9%, P=0.2392).
Figure 3

Forest plot for meta-analysis of the incidence of high-grade hypertension with bevacizumab-treated patients.

Abbreviation: CI, confidence interval.

Relative risk of all-grade hypertension

The specific contribution of bevacizumab to the development of hypertension in patients was determined by excluding the influence of confounding factors, such as history of other therapeutic interventions. We calculated the OR of all-grade hypertension between the bevacizumab and control groups. The pooled OR for all-grade hypertension cases indicated that bevacizumab treatment significantly increased the risk of developing all-grade hypertension in NSCLC patients, with an OR of 8.07 (95% CI 3.87–16.85, P=0.0002; Figure 4) according to the fixed-effect model (I2=0, P=0.9891).8,11,20,22,23
Figure 4

Relative risk of bevacizumab-associated all-grade hypertension.

Abbreviations: OR, odds ratio; CI, confidence interval.

Relative risk of high-grade hypertension

High-grade (grade 3 or 4) hypertension is an important index of bevacizumab safety. Our meta-analysis of the OR for high-grade hypertension attributable to bevacizumab in comparison with the controls was performed on seven RCTs with a total of 2,953 patients. The pooled OR for high-grade hypertension demonstrated that treatment with bevacizumab significantly increased the risk of developing high-grade hypertension in NSCLC patients, with an OR of 5.93 (95% CI 3.41–10.32, P<0.0001; Figure 5) according to the fixed-effect model (I2=0%, P=0.6465).8,9,11,12,19,20,23
Figure 5

Relative risk of bevacizumab-associated high-grade hypertension.

Abbreviations: OR, odds ratio; CI, confidence interval.

Publication bias

No evidence of publication bias was found for the OR of hypertension in our meta-analysis by funnel plot (Figure 6), Egger’s test (95% CI −2.05 to 1.78, P=0.862), or Begg’s test (Z=0.3, Z<1.96; P=0.76).
Figure 6

Funnel-plot standard error based on the odds ratio for relative risk of high-grade hypertension.

Discussion

Bevacizumab has been clinically validated as a targeted agent against in NSCLC by inhibiting the signaling pathways of VEGF.9,12 Unlike traditional chemotherapy agents,24–26 bevacizumab has advanced efficacy and lower toxicity. However, adverse effects in patients with bevacizumab treatment include hypertension, nausea, hemorrhage, fatigue, and neuropathy.27,28 Hypertension is commonly associated with bevacizumab in clinical trials. This condition may lead to serious cardiovascular events or even life-threatening consequences. The incidence and management for hypertension is important in NSCLC patients with bevacizumab treatment. However, the overall incidence and risk of bevacizumab-induced hypertension remains unknown. The present meta-analysis was performed to calculate its overall incidence and to compare differences in incidence rates between bevacizumab treatment and controls. Meta-analysis is a formidable statistical tool that can be used to assess the incidence and risk factors of drug-related adverse reactions. Meta-analysis results can increase the number of clinical samples and improve productivity based on statistical evidence. In addition, meta-analysis reaches more valid conclusions for the selection of suitable therapeutic schemes in clinical practice. To the best of our knowledge, we are the first to estimate the incidence and risk of hypertension associated with bevacizumab treatment in patients with NSCLC. Our meta-analysis included a total of 3,155 subjects from nine studies, and we demonstrated that the overall incidence rate of all-grade hypertension was 19.55%, whereas the incidence rate of high-grade hypertension was 6.79%. There are also several factors that should be considered in the rate reported in our study, such as the size of each selected study and patient features (sex, age, etc). Additionally, the use of bevacizumab is associated with significantly increased incidence of all-grade and high-grade hypertension compared with controls. The OR of all-grade hypertension was 8.07, and that of high-grade hypertension was 5.93. According to a report by Hong et al,29 the relative risk of all-grade hypertension in advanced NSCLC patients treated with angiogenesis inhibitors was 3.23 (95% CI 1.93–5.41, P<0.001), and the relative risk of high-grade hypertension in advanced NSCLC patients treated with angiogenesis inhibitors was 5.42 (95% CI 4.06–7.22, P<0.001). Our results were similar to Hong et al. Based on our results, we concluded that bevacizumab treatment was associated with an unexpectedly high risk of developing hypertension. Continuous monitoring and effective hypertension management are important during bevacizumab treatment. Bevacizumab is used to treat a more heterogeneous patient population than those found in clinical trials. More effort is required to limit the risk of hypertension. Bevacizumab-administered patients need to be carefully monitored for hypertension symptoms, especially if these patients have cardiovascular disease or other risk factors.30 Furthermore, the use of bevacizumab can cause high-grade hypertension, as described by the CTCAE of the National Cancer Institute. Therefore, patients treated with this drug should be monitored for symptoms, such as fever, dyspnea, and hypoxemia, during bevacizumab administration. Clinicians should be aware of the possibility that any patient treated with bevacizumab may develop hypertension, especially those at high risk. In addition to its anti-NSCLC properties, bevacizumab is used against other tumor types, particularly colon cancer.31,32 The incidence of hypertension in other cancer patients should be considered. The mechanism of bevacizumab-associated hypertension has not been clarified, and may be associated with the suppression of nitric oxide production in endothelial cells.33 Whether via pharmacological or genetic methods, the inhibition of the VEGF pathway in endothelial cells can induce thrombotic microangiopathy, endotheliosis, and narrow capillaries in patients treated with VEGF-targeting agents.34 The relationship between hypertension and the patient’s response to bevacizumab may be related to gene polymorphism. Previous studies have determined that genetic variants of the VEGFR and vascular endothelial growth factor A (VEGFA) are associated with the patient’s reaction to bevacizumab treatment.35,36 These genetic variants could increase the response of endothelial cells to anti-VEGF-targeted agents, which may be directed at the increased risk of cardiac toxicity. Therefore, patients developing hypertension during bevacizumab therapy may be influenced by these variants. Hypertension associated with polymorphisms of VEGF has been reported in patients treated with sunitinib and bevacizumab.37 Although bevacizumab-associated hypertension is an important side effect reported in clinical trials, the management of this side effect is controversial. Guidelines of the American Heart Association38 and the European Society of Hypertension39 do not mention measures against induced hypertension. Furthermore, no evidence-based suggestions are available. Therefore, clinicians are free to choose the best therapeutic strategy for their patients. A large number of clinical trials have shown that the main effects of antihypertensive treatment are largely independent of the drugs used. In addition, β-adrenoceptor antagonists, angiotensin converting enzyme (ACE) inhibitors, angiotensin-receptor antagonists, and calcium antagonists can adequately lower blood pressure and markedly decrease the frequency of cardiovascular events.40,41 Therefore, all the aforementioned agents can be used as antihypertensive treatment either in alone or in combination. Of course, it should be noted that because VEGF inhibitors interact with cytochrome enzymes, the metabolism of some antihypertensive drugs, such as calcium-channel blockers, is affected, and hence, these antihypertensive drugs may not be effective in patients treated with VEGF inhibitors. According to the British Columbia Cancer Agency recommendations for the management of adverse effects of bevacizumab, a thiazine diuretic should be the first-line treatment and angiotensin-receptor blockers or ACE inhibitors can be the second-line treatment. However, diuretic treatment of patients under concurrent chemotherapy should be performed with caution to prevent volume depletion.42 Our meta-analysis has several limitations. First, we may have underestimated the incidence of bevacizumab-associated hypertension because of the definition of the CTCAE. Under the CTCAE, patients are considered hypertensive only if the blood pressure is greater than 150/100 mmHg or the diastolic pressure is increased by more than 20 mmHg. In our study, this strict criteria would have reduced the number of hypertensive patients compared with the real-world criteria for the diagnosis of hypertension (140/90 mmHg). Second, RCTs have strict inclusion and exclusion criteria. Only patients with adequate major organ function are included in these trials; therefore, the results of our meta-analysis may not represent actual patients.43,44 Our results may not be applicable to the general population in daily practice. Third, hypertension events are collected for each individual trial, but potentially differences among the trials may exist, as follows: various international institutions, administration schedules of bevacizumab, and periods of study. All of these differences would increase the clinical heterogeneity among the included trials,45 which contributed to the difficulty of interpreting the results of our analysis. Finally, the treatment designs varied, and the analysis did not focus on individual patient data. Meta-analyses that are based on published data tend to overestimate the treatment effects compared with individual patient data analyses.46

Conclusion

Our study suggested that bevacizumab treatment in NSCLC patients is associated with a significantly increased risk of developing hypertension. Early monitoring and effective management of hypertension could be an important step for the safer use of this drug. Further studies should be conducted to identify the mechanism of bevacizumab-associated hypertension. PRISMA 2009 checklist Note: Reproduced from Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.1 Abbreviation: PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Table S1

PRISMA 2009 checklist

Section/topicChecklist itemReported on page
Title
 Title1 Identify the report as a systematic review, meta-analysis, or both.1
Abstract
 Structured summary2 Provide a structured summary, including, as applicable: background; objectives; data sources; study-eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions and implications of key findings; systematic review registration number.2
Introduction
 Rationale3 Describe the rationale for the review in the context of what is already known.3
 Objectives4 Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS).4
Methods
 Protocol and registration5 Indicate if a review protocol exists, if and where it can be accessed (eg, web address), and if available, provide registration information, including registration number.
 Eligibility criteria6 Specify study characteristics (eg, PICOS, length of follow-up) and report characteristics (eg, years considered, language, publication status) used as criteria for eligibility, giving rationale.5
 Information sources7 Describe all information sources (eg, databases with dates of coverage, contact with study authors to identify additional studies) in the search and date last searched.5
 Search8 Present full electronic search strategy for at least one database, including any limits used, such that it could be repeated.5
 Study selection9 State the process for selecting studies (ie, screening, eligibility, included in systematic review, and if applicable, included in the meta-analysis).6
 Data-collection process10 Describe method of data extraction from reports (eg, piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators.6
 Data items11 List and define all variables for which data were sought (eg, PICOS, funding sources) and any assumptions and simplifications made.5, 6
 Risk of bias in individual studies12 Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis.6
 Summary measures13 State the principal summary measures (eg, risk ratio, difference in means).6
 Synthesis of results14 Describe the methods of handling data and combining results of studies, if done, including measures of consistency (eg, I2) for each meta-analysis.6
 Risk of bias across studies15 Specify any assessment of risk of bias that may affect the cumulative evidence (eg, publication bias, selective reporting within studies).6
 Additional analyses16 Describe methods of additional analyses (eg, sensitivity or subgroup analyses, metaregression), if done, indicating which were prespecified.6
Results
 Study selection17 Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a flow diagram.7
 Study characteristics18 For each study, present characteristics for which data were extracted (eg, study size, PICOS, follow-up period) and provide the citations.7
 Risk of bias within studies19 Present data on risk of bias of each study, and if available, any outcome-level assessment (see item 12).7
 Results of individual studies20 For all outcomes considered (benefits or harms), present for each study: 1) simple summary data for each intervention group, and 2) effect estimates and confidence intervals, ideally with a forest plot.7, 8
 Synthesis of results21 Present results of each meta-analysis done, including confidence intervals and measures of consistency.7, 8
 Risk of bias across studies22 Present results of any assessment of risk of bias across studies (see item 15).8
 Additional analysis23 Give results of additional analyses, if done (eg, sensitivity or subgroup analyses, met-regression [see item 16]).7, 8
Discussion
 Summary of evidence24 Summarize the main findings, including the strength of evidence for each main outcome; consider their relevance to key groups (eg, health care providers, users, and policy makers).8
 Limitations25 Discuss limitations at study and outcome level (eg, risk of bias), and at review level (eg, incomplete retrieval of identified research, reporting bias).10
 Conclusions26 Provide a general interpretation of the results in the context of other evidence, and implications for future research.11
Funding
 Funding27 Describe sources of funding for the systematic review and other support (eg, supply of data); role of funders for the systematic review.11

Note: Reproduced from Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.1

Abbreviation: PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

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1.  What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data.

Authors:  Michael J Sweeting; Alexander J Sutton; Paul C Lambert
Journal:  Stat Med       Date:  2004-05-15       Impact factor: 2.373

Review 2.  Adjuvant chemotherapy in non-small cell lung cancer: state-of-the-art.

Authors:  Ángel Artal Cortés; Lourdes Calera Urquizu; Jorge Hernando Cubero
Journal:  Transl Lung Cancer Res       Date:  2015-04

3.  Heterogeneity testing in meta-analysis of genome searches.

Authors:  Elias Zintzaras; John P A Ioannidis
Journal:  Genet Epidemiol       Date:  2005-02       Impact factor: 2.135

Review 4.  The vasohibin family: a negative regulatory system of angiogenesis genetically programmed in endothelial cells.

Authors:  Yasufumi Sato; Hikaru Sonoda
Journal:  Arterioscler Thromb Vasc Biol       Date:  2006-11-09       Impact factor: 8.311

5.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

6.  [No evidence for renal protective effect of loop diuretics for patients having oliguria].

Authors:  Charlotte Runge Sørensen; Jens Kristian Madsen; Frank Schmidt; Erik Sloth
Journal:  Ugeskr Laeger       Date:  2012-10-22

7.  Bevacizumab treatment for cancer patients with cardiovascular disease: a double edged sword?

Authors:  David Pereg; Michael Lishner
Journal:  Eur Heart J       Date:  2008-09-01       Impact factor: 29.983

8.  Phase II trial of ixabepilone and carboplatin with or without bevacizumab in patients with previously untreated advanced non-small-cell lung cancer.

Authors:  David R Spigel; F Anthony Greco; David M Waterhouse; Dianna L Shipley; John D Zubkus; Martin J Bury; Charles D Webb; Lowell L Hart; Victor G Gian; Jeffrey R Infante; Howard A Burris; John D Hainsworth
Journal:  Lung Cancer       Date:  2012-09-01       Impact factor: 5.705

Review 9.  Efficacy and safety of angiogenesis inhibitors in advanced non-small cell lung cancer: a systematic review and meta-analysis.

Authors:  Shaodong Hong; Min Tan; Shouzheng Wang; Shengyuan Luo; Yue Chen; Li Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-06       Impact factor: 4.553

10.  Docetaxel-carboplatin in combination with erlotinib and/or bevacizumab in patients with non-small cell lung cancer.

Authors:  Eftimia Boutsikou; Theodoros Kontakiotis; Paul Zarogoulidis; Kaid Darwiche; Ellada Eleptheriadou; Konstantinos Porpodis; Grammati Galaktidou; Leonidas Sakkas; Wolfgang Hohenforst-Schmidt; Kosmas Tsakiridis; Theodoros Karaiskos; Konstantinos Zarogoulidis
Journal:  Onco Targets Ther       Date:  2013-03-01       Impact factor: 4.147

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  12 in total

Review 1.  Lung cancer as a cardiotoxic state: a review.

Authors:  David Pérez-Callejo; María Torrente; María Auxiliadora Brenes; Beatriz Núñez; Mariano Provencio
Journal:  Med Oncol       Date:  2017-08-09       Impact factor: 3.064

Review 2.  Risk of hypertension with ramucirumab-based therapy in solid tumors: data from a literature based meta-analysis.

Authors:  Giandomenico Roviello; Chiara Pacifico; Paola Corona; Daniele Generali
Journal:  Invest New Drugs       Date:  2017-03-11       Impact factor: 3.850

Review 3.  Safety and efficacy profile of lenvatinib in cancer therapy: a systematic review and meta-analysis.

Authors:  Chenjing Zhu; Xuelei Ma; Yuanyuan Hu; Linghong Guo; Bo Chen; Kai Shen; Yue Xiao
Journal:  Oncotarget       Date:  2016-07-12

4.  Impact of pneumonia and lung cancer on mortality of women with hypertension.

Authors:  Yuechun Shen; Zuojun Tian; Dongfeng Lu; Junyao Huang; Zuopeng Zhang; Xinchun Li; Jun Li
Journal:  Sci Rep       Date:  2016-12-21       Impact factor: 4.379

Review 5.  [Application of Bevacizumab in Non-small Cell Lung Cancer].

Authors:  Ping Xu; Hongmei Li
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2017-04-20

Review 6.  Research progress on common adverse events caused by targeted therapy for colorectal cancer.

Authors:  Bo Zhang; Chenyan Fang; Dehou Deng; Liang Xia
Journal:  Oncol Lett       Date:  2018-05-07       Impact factor: 2.967

7.  Spironolactone, a Classic Potassium-Sparing Diuretic, Reduces Survivin Expression and Chemosensitizes Cancer Cells to Non-DNA-Damaging Anticancer Drugs.

Authors:  Tomomi Sanomachi; Shuhei Suzuki; Keita Togashi; Asuka Sugai; Shizuka Seino; Masashi Okada; Takashi Yoshioka; Chifumi Kitanaka; Masahiro Yamamoto
Journal:  Cancers (Basel)       Date:  2019-10-14       Impact factor: 6.639

8.  Associations between untraditional risk factors, pneumonia/lung cancer, and hospital fatality among hypertensive men in Guangzhou downtown.

Authors:  Yuechun Shen; Yuelin Chen; Zheng Huang; Junyao Huang; Xinchun Li; Zuojun Tian; Jun Li
Journal:  Sci Rep       Date:  2020-01-29       Impact factor: 4.379

Review 9.  Etiology and management of hypertension in patients with cancer.

Authors:  Turab Mohammed; Meghana Singh; John G Tiu; Agnes S Kim
Journal:  Cardiooncology       Date:  2021-04-06

10.  Increased risk of adverse drug events secondary to bevacizumab treatment in patients with advanced or metastatic breast cancer: a meta-analysis of randomized controlled trials.

Authors:  Sooyoung Shin; Yoojin Noh
Journal:  Ther Clin Risk Manag       Date:  2018-05-04       Impact factor: 2.423

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