Literature DB >> 27051303

Statin use and mortality of patients with prostate cancer: a meta-analysis.

Yang Meng1, Yan-Biao Liao2, Peng Xu1, Wu-Ran Wei1, Jia Wang1.   

Abstract

OBJECTIVE: The aim of this meta-analysis was to investigate the effect of statin use on the mortality of patients with prostate cancer (PCa).
METHODS: An electronic search of PubMed, Embase, and CENTRAL databases from inception to August 2015 was performed to find eligible studies. Articles investigating the association between statin use and mortality of PCa were identified. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using random- or fixed-effects models.
RESULTS: In total, 13 studies that enrolled 100,536 participants were included in this meta-analysis. Results showed that prediagnostic statin use had a significantly lower risk of both all-cause mortality (ACM; HR, 0.56; 95% CI, 0.38-0.83) and PCa-specific mortality (PCSM; HR, 0.53; 95% CI, 0.36-0.77). Similarly, postdiagnostic statin use was correlated with reductions in both ACM (HR, 0.77; 95% CI, 0.69-0.87) and PCSM (HR, 0.64; 95% CI, 0.52-0.79). When stratified by primary treatment, postdiagnostic use of statins had a 0.4-fold lower risk of ACM in patients with PCa who were treated with local therapy; both pre- and postdiagnostic use of statins was correlated with a significantly lower risk of PCSM in patients who were treated with androgen deprivation therapy.
CONCLUSION: Both pre- and postdiagnostic use of statins is associated with better overall survival and PCa-specific survival. This suggests a need for randomized controlled trials of statins in patients with PCa.

Entities:  

Keywords:  all-cause mortality; prostate cancer; prostate cancer-specific mortality; statins

Year:  2016        PMID: 27051303      PMCID: PMC4807937          DOI: 10.2147/OTT.S97993

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Statins (3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors) are commonly used to treat hypercholesterolemia and have been demonstrated to reduce cardiovascular events and mortality.1 Most recently, attention has focused on their potential anticancer properties. Statins have been shown to affect proliferation, induce apoptosis, and inhibit angiogenesis of tumor cells.2–4 Several epidemiological studies have investigated the effects of statins on the risk of prostate cancer (PCa) and treatment outcomes. A recent meta-analysis of 27 observational studies revealed that statins reduced the risk of both overall PCa and clinically important advanced PCa.5 However, the impact of statins on all-cause mortality (ACM) or PCa-specific mortality (PCSM) in patients with PCa remains debatable. Some studies have demonstrated a beneficial effect of statins in reducing ACM and PCSM,6–8 whereas others have not revealed a significant effect.9,10 These inconsistent conclusions may be due to relatively small sample sizes and different timings of statin use (eg, prediagnostic or postdiagnostic). Therefore, we performed a systematic review and meta-analysis of the available data to explore the association of prediagnostic and postdiagnostic statin use with the risk of death in patients with PCa.

Materials and methods

Search strategy

An electronic search of PubMed, Embase, and CENTRAL databases for all relevant studies (the last search update was August 21, 2015) was carried out using the following search terms: “Hydroxymethylglutaryl-CoA Reductase Inhibitors or HMG-CoA Reductase Inhibitors or statin or statins or atorvastatin or bervastatin or cerivastatin or crilvastatin or compactin or dalvastatin or fluindostatin or fluvastatin or glenvastatin or lovastatin or mevastatin or pitavastatin or pravastatin or rosuvastatin or simvastatin or tenivastatin” and “prostate cancer or prostate carcinoma or prostatic cancer or prostatic carcinoma” and “mortality or survival or death.” The search was limited to English language articles. All searches were performed independently by two investigators and any differences were resolved by discussion.

Selection criteria

Following the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines, the Population, Intervention, Comparison, Outcome, and Study design eligibility criteria were applied to define study eligibility.11 All studies investigating the association between statin use and mortality of PCa were considered relevant to this meta-analysis. Both full-text articles and conference abstracts were eligible. Inclusion criteria were as follows: 1) the exposure of interest was statin use prior to or after diagnosis, 2) ACM and/or PCSM after PCa diagnosis according to statin use were reported, and 3) adjusted risk estimates with 95% confidence intervals (CIs; or adjusted risk estimates and P-values) were given. Case reports, letters, review articles, and comments were excluded during the process of study selection. For studies that reported results using the same or overlapping data, only the study with the largest number of patients was included.

Study quality assessment

All the finally included studies were nonrandomized studies. The quality of all studies, except the conference abstracts, was assessed according to the Newcastle–Ottawa scale,12 which is recommended by the Cochrane Collaboration. Stars were allocated to each study in the range of 0–9, and studies with 6 or more stars were deemed of high quality.

Data extraction

Two authors (YM and JW) independently extracted the data from all the included studies, and the following information was extracted: the first author, year of publication, study location, sample size, follow-up period, patient characteristics (eg, age, pretreatment prostate-specific antigen level, tumor stage, and Gleason score), type of primary treatment, statin use, risk estimates with their corresponding 95% CIs (or P-values), and study design. Any discrepancy was resolved by discussion.

Statistical analyses

The inverse variance method was used to pool the hazard ratios (HRs) for the effect of statin on mortality in patients with PCa.13 Because outcomes were relatively rare, odds ratio (OR) was used as an estimate of HR. If studies reported risk estimates for PCSM and other-cause mortality, the risk estimates for ACM were calculated first.14 For any study providing separate risk estimates by primary treatment, we considered the estimates as different studies.6 Between-study heterogeneity was assessed using both Cochran’s Q-test and I2 statistics. A value of P<0.10 for Q-test or an I2>50% was considered significant. A random-effects model was used if heterogeneity was significant; otherwise, a fixed-effects model was used.15 Subgroup analyses were conducted to explore potential sources of between-study heterogeneity. The potential publication bias was assessed by funnel plot visual inspection for all comparisons. All statistical analyses were performed with RevMan software (version 5.3). P-values for all analyses were two sided.

Results

Characteristics of eligible studies

In total, 401 abstracts were identified and assessed from the initial literature search, and 24 studies were potentially eligible and were evaluated in detail. Eleven of the 24 studies were subsequently excluded from the present meta-analysis (nine did not fulfill the inclusion criteria and two were based on overlapping data). Thus, 13 studies (12 cohort studies and one case–control study) involving 100,536 participants were included in the meta-analysis.6–10,14,16–22 The flow chart of the study selection is shown in Figure 1.
Figure 1

Flow diagram of the study selection process.

Of the 13 studies, six investigated the association of prediagnostic statin use with ACM and/or PCSM, and seven investigated the association of postdiagnostic statin use with ACM and/or PCSM. The characteristics and quality assessments of eligible studies are summarized in Table 1. Visual inspection of funnel plots did not reveal any obvious publication bias in our meta-analysis.
Table 1

Characteristic of the included studies

StudyYearFollow-up periodStudy designPatient characteristicsPrimary treatmentStatin usePCSMACMAdjusted for
Katz et al620101990–2006; median 4 yearsCohort7,042 patients who received RP or RT for prostate cancerRP (n=4,611) or RT (n=2,431)PostdiagnosticRP: HR: 0.35 (0.21–0.58); RT: HR: 0.59 (0.37–0.94)Use of NSAIDs, mean office visits/year, age, cardiovascular disease, year of diagnosis, pathological T stage, diabetes, biopsy Gleason grade, and smoking
Hamilton et al72011Not reportedCohort782 men with prostate cancer underwent local treatmentLocal treatmentPrediagnosticHR: 0.23 (0.05–0.95)Age, year of diagnosis, PSA, Gleason grade, clinical stage, and treatment
Nielsen et al1620121995–2009; median 2.6 yearsCohort27,752 Danish men with a diagnosis of prostate cancerFailed to distinguishPrediagnosticHR: 0.81 (0.75–0.88)Age at diagnosis, cancer stage, treatment with chemotherapy, treatment with radiotherapy, cardiovascular disease before cancer, diabetes mellitus before cancer, birth year, sex, descent, highest obtained level of education, and size of residential area
Marcella et al820121997–2002Case–control380 cases aged 55 years to 79 years who died from prostate cancer and 380 matched controlsFailed to distinguishPrediagnosticOR: 0.37 (0.23–0.60)Education level, body mass index, waist size, number of comorbidities, matched for race and age, and antihypertensive medication use
Geybels et al1420132002–2011; mean 7.5 yearsCohort1,001 patients with prostate cancer of all stagesFailed to distinguishPrediagnosticHR: 0.19 (0.06, 0.56)HR: 0.45 (0.10–2.01)Age, Gleason score, stage, diagnostic PSA level, primary treatment approach, race, first-degree family history of PCa, body mass index, smoking, lifetime alcohol consumption, aspirin use, nonaspirin NSAID use, history of diabetes mellitus, and history of PCa screening
Niraula et al920132000–2003; mean 20.7 monthsCohort1,006 patients with castration-refractory metastatic prostate cancer treated with docetaxelDocetaxelPostdiagnosticHR: 0.97 (0.76–1.23)Not stated
Dehlendorff et al172014Mean 4 yearsCohort34,284 Danish men with a first-time diagnosis of prostate cancerFailed to distinguishPostdiagnosticHR: 0.74 (0.70–0.79)HR: 0.79 (0.75–0.83)Age, year of prostate cancer diagnosis, stage (localized, nonlocalized, or unknown), education, income, Charlson Comorbidity Index score, diabetes, chronic obstructive lung disease, aspirin, 5-alpha-reductase inhibitors, nonaspirin NSAIDs, ACEIs, and angiotensin-II antagonists
Murtola et al1820141996–2009Cohort6,220 finish men diagnosed with prostate cancerFailed to distinguishPostdiagnosticHR: 0.33 (0.23–0.49)Age at diagnosis, use of other drug groups (aspirin and NSAIDs, antihypertensive and antidiabetic drugs, 5a-reductase inhibitors and alpha-blockers), tumor stage and grade, primary treatment selection (active surveillance, surgery, radiation therapy or hormonal therapy), statin usage before the diagnosis
Caon et al1020142000–2007; median 8.4 yearsCohort3,851 patients with prostate cancer treated with external beam radiation therapy ± ADTExternal beam radiation therapyPrediagnosticHR: 0.77 (0.55–1.08)Age, acetylsalicylic acid, year of treatment, radiation dose, ADT, PSA, T stage, Charlson Index, and Gleason score
Yu et al1920141998–2012; mean 4.4 yearsCohort11,772 patients newly diagnosed with nonmetastatic prostate cancerFailed to distinguishPostdiagnosticHR: 0.76 (0.66–0.88)HR: 0.86 (0.78–0.95)Age, year of prostate cancer diagnosis, ethnicity, excessive alcohol use, smoking status, obesity, chronic kidney disease, myocardial infarction, ischemic stroke, transient ischemic attack, peripheral artery disease, previous cancers, PSA, Gleason score, metformin, sulfonylureas, thiazolidinediones, insulins, other oral antihypoglycemic agents, ACEIs, angiotensin receptor blockers, calcium channel blockers, beta-blockers, diuretics, other antihypertensive drugs, aspirin, other nonsteroidal anti-inflammatory drugs, 5-alpha – reductase inhibitors, prediagnostic statin use, PSA testing activity, prostatectomy, radiation therapy, chemotherapy, and ADT
Hamilton et al222015Median 6.9 yearsCohort1,364 patients with prostate cancer treated with ADTADTPostdiagnosticHR: 0.64 (0.48–0.86)HR: 0.64 (0.53–0.78)Age, time from RT to ADT and PSA
Chan et al2120151992–2010; mean 8.4 yearsCohort3,949 men diagnosed with localized prostate cancerFailed to distinguishPostdiagnosticHR: 0.84 (0.71–0.99)Age, time period, time since diagnosis to questionnaire, body mass index, vigorous physical activity, smoking, aspirin use, clinical stage, PSA at diagnosis, Gleason score, treatment, stroke, myocardial infarction, hypertension, and diabetes
Calais Da Silva et al2020151999–2012Cohort336 patients with prostate cancer treated with ADTADTPrediagnosticHR: 0.53 (0.28–0.98)HR: 0.57 (0.38–0.85)Metastatic status and age

Abbreviations: ACM, all-cause mortality; ACEIs, angiotensin-converting enzyme inhibitors; ADT, androgen deprivation therapy; HR, hazard ratio; NSAIDs, nonsteroidal anti-inflammatory drugs; OR, odds ratio; PCa, prostate cancer; PCSM, prostate cancer-specific mortality; PSA, prostate-specific antigen; RP, radical prostatectomy; RT, radiotherapy.

ACM

Eight studies6,9,14,17,19–22 that met the inclusion criteria were included in the analysis of ACM: two focused on statin use before diagnosis and six focused on statin use after diagnosis. The pooled risk estimates are shown in Table 2 and Figure 2. Both pre- (HR, 0.56; 95% CI, 0.38–0.83; P<0.01; I2=0%) and postdiagnostic use of statin (HR, 0.77; 95% CI, 0.69–0.87; P<0.01; I2=72%) was associated with a significantly reduced risk of ACM in patients with PCa.
Table 2

Main results of meta-analysis for the effect of statin use on ACM and PCSM

Statin useMortalityGroups/subgroupsStudies, nHeterogeneity test
Pooled risk estimates
I2 (%)P-valueHR95% CIP-value
Prediagnostic statin useACMOverall200.770.560.38–0.830.003
Postdiagnostic statin useACMOverall7720.0020.770.69–0.87<0.001
Local therapy2530.140.460.28–0.770.003
Failed to distinguish primary treatment3220.280.810.77–0.84<0.001
Androgen deprivation therapy10.640.53–0.78<0.001
Chemotherapy10.970.72–1.230.80
Prediagnostic statin usePCSMOverall677<0.0010.530.36–0.770.001
Androgen deprivation therapy10.530.29–0.980.043
Local therapy2610.110.520.17–1.580.25
Failed to distinguish primary treatment388<0.0010.440.20–0.950.04
Postdiagnostic statin usePCSMOverall482<0.0010.640.52–0.79<0.001
Androgen deprivation therapy10.640.48–0.860.003
Failed to distinguish primary treatment388<0.0010.730.69–0.78<0.001

Abbreviations: ACM, all-cause mortality; CI, confidence interval; HR, hazard ratio; PCSM, prostate cancer-specific mortality.

Figure 2

Pooled analyses for the effect of prediagnostic (A) and postdiagnostic (B) statin use on all-cause mortality of prostate cancer.

Abbreviations: CI, confidence interval; df, degrees of freedom; RP, radical prostatectomy; RT, radiotherapy; SE, standard error.

Subgroup analysis according to the treatment strategy was then performed. Postdiagnostic statin use was significantly correlated with a decreased risk of ACM among patients with PCa who were primarily treated with local therapy (radical prostatectomy or radiotherapy; HR, 0.46; 95% CI, 0.28–0.77; P<0.01; I2=53%). A pooled analysis of three studies failed to distinguish primary treatment used and also revealed that postdiagnostic statin use was associated with lower ACM (HR, 0.81; 95% CI, 0.77–0.84; P<0.01; I2=22%).

PCSM

In total, ten studies7,8,10,14,16–20,22 were included in the analysis of PCSM: six were based on prediagnostic statin use and four on postdiagnostic statin use. The pooled risk estimates are shown in Table 2 and Figure 3.
Figure 3

Pooled analyses for the effect of prediagnostic (A) and postdiagnostic (B) statin use on prostate-cancer-specific mortality of prostate cancer.

Abbreviations: CI, confidence interval; df, degrees of freedom; SE, standard error.

The results demonstrated that patients who used statins before diagnosis had a 0.5-fold lower risk of PCSM (HR, 0.53; 95% CI, 0.36–0.77; P<0.01; I2=77%). When stratified by primary treatment, prediagnostic statin use was still associated with a decreased risk of PCSM among patients who were treated with androgen deprivation therapy (HR, 0.53; 95% CI, 0.29–0.98; P=0.043). The pooled risk estimate from studies that did not distinguish primary treatment was also correlated with a significantly lower risk of PCSM (HR, 0.44; 95% CI, 0.20–0.95; P=0.04; I2=88%), whereas prediagnostic statin use among patients who were primarily treated with local therapy showed only a trend toward decreased risk (HR, 0.52; 95% CI, 0.17–1.58; P=0.25; I2=61%). Similarly, a significant correlation of postdiagnostic statin use with a reduced risk of PCSM was found (HR, 0.64; 95% CI, 0.52–0.79; P<0.01; I2=79%). When stratified by primary treatment, postdiagnostic statin use was associated with a significantly decreased risk of PCSM in patients who were treated with androgen deprivation therapy (HR, 0.64; 95% CI, 0.48–0.86; P=0.003). A pooled analysis of those studies could not distinguish primary treatment (HR, 0.73; 95% CI, 0.69–0.78; P<0.01; I2=88%) and also showed a significant correlation.

Discussion

The main results of the present meta-analysis are as follows: 1) both pre- and postdiagnostic use of statins was associated with a decreased risk of ACM and PCSM, 2) postdiagnostic use of statins had a 0.4-fold lower risk of ACM in patients with PCa who were treated with local therapy, and 3) both pre- and postdiagnostic use of statins was correlated with a significantly lower risk of PCSM in patients who were treated with androgen deprivation therapy. Statins are commonly used to reduce cholesterol levels and are associated with a decrease in the prevalence of cardiovascular events, but the impact of statins on the prognosis of patients with PCa is still controversial. However, in this study, we demonstrated that statins were associated with a decreased risk of both ACM and PCSM in patients with PCa, and this finding is supported by an observational study of 295,925 patients, which reported a decreased rate of cancer-related mortality among patients who took statins.16 Several factors may account for the beneficial impact of statins on ACM and PCSM. 1) Cholesterol is required for basic cellular functions, including maintenance of membrane integrity and involvement of signaling pathways, which are critical for cancer cell proliferation,23–25 thus a decrease in cholesterol level might reduce PCa growth. 2) Previous experimental studies have demonstrated that statins may have anti-inflammatory, proapoptotic, and antiangiogenic effects, which may reduce metastasis and invasiveness.26,27 A recent meta-analysis demonstrated that statins were associated with a lower risk of PCa recurrence in patients who were treated with radiotherapy. 3) Cholesterol is a precursor of androgens; thus, a reduction in cholesterol level leads to a decrease in testosterone and dihydrotestosterone, which are crucial to androgen receptor,28,29 and a reduction in androgen receptor may predict PCa outcome.30 In line with this, the study suggests that both pre- and postdiagnostic use of statins is correlated with a significantly lower risk of PCSM in patients who were treated with androgen deprivation therapy. This phenomenon has also been seen in patients with breast cancer.31 Additionally, Nielsen et al16 revealed the absence of a dose-dependent effect of statins, while Yu et al19 found that long-term treatment with statins provided greater benefit than short-term treatment. Therefore, randomized trials are needed to investigate the effect of statins on ACM and PCSM, especially with regard to dose and time dependency. Several limitations should be taken into consideration when interpreting our results. First, we found between-study heterogeneity in the meta-analysis, which might affect the strength of the results in the study. However, we performed subgroup analyses to explore the source of heterogeneity when we could not find it. Second, we did not evaluate the effect of postdiagnostic statin use on the association between prediagnostic statin use and patient survival because of limited data from included studies. We therefore evaluated postdiagnostic statin use, without taking into account the effect of prediagnostic statin use.

Conclusion

Both pre- and postdiagnostic use of statins is associated with better overall survival and cancer-specific survival. Randomized controlled trials are needed to further assess the effect of statin use on the mortality of patients with PCa in the future.
  25 in total

Review 1.  HMG-CoA reductase inhibitors (statins) as anticancer drugs (review).

Authors:  Gerhard Fritz
Journal:  Int J Oncol       Date:  2005-11       Impact factor: 5.650

Review 2.  Cholesterol lowering in the management of coronary artery disease: the clinical implications of recent trials.

Authors:  D A Eisenberg
Journal:  Am J Med       Date:  1998-02-23       Impact factor: 4.965

3.  Influence of statin use on clinicopathological characteristics of localized prostate cancer and outcomes obtained after radical prostatectomy: a single center study.

Authors:  Susanna Cattarino; Thomas Seisen; Sarah J Drouin; Raphaële Renard-Penna; Priscilla Leon; Eva Comperat; Pierre Mozer; Olivier Cussenot; Morgan Rouprêt
Journal:  Can J Urol       Date:  2015-04       Impact factor: 1.344

4.  Mevalonic acid is limiting for N-linked glycosylation and translocation of the insulin-like growth factor-1 receptor to the cell surface. Evidence for a new link between 3-hydroxy-3-methylglutaryl-coenzyme a reductase and cell growth.

Authors:  M Carlberg; A Dricu; H Blegen; M Wang; M Hjertman; P Zickert; A Höög; O Larsson
Journal:  J Biol Chem       Date:  1996-07-19       Impact factor: 5.157

5.  Influence of concurrent medications on outcomes of men with prostate cancer included in the TAX 327 study.

Authors:  Saroj Niraula; Greg Pond; Ronald de Wit; Mario Eisenberger; Ian F Tannock; Anthony M Joshua
Journal:  Can Urol Assoc J       Date:  2013 Jan-Feb       Impact factor: 1.862

6.  Cholesterol synthesis inhibitor RO 48-8071 suppresses transcriptional activity of human estrogen and androgen receptor.

Authors:  Benford Mafuvadze; Yayun Liang; Salman M Hyder
Journal:  Oncol Rep       Date:  2014-07-15       Impact factor: 3.906

7.  Use of statins and prostate cancer recurrence among patients treated with radical prostatectomy.

Authors:  Chun Chao; Steven J Jacobsen; Lanfang Xu; Lauren P Wallner; Kimberly R Porter; Stephen G Williams
Journal:  BJU Int       Date:  2013-03-06       Impact factor: 5.588

8.  Statin use in relation to prostate cancer outcomes in a population-based patient cohort study.

Authors:  Milan S Geybels; Jonathan L Wright; Sarah K Holt; Suzanne Kolb; Ziding Feng; Janet L Stanford
Journal:  Prostate       Date:  2013-04-30       Impact factor: 4.104

9.  Does Statin or ASA Affect Survival When Prostate Cancer Is Treated with External Beam Radiation Therapy?

Authors:  J Caon; M Paquette; J Hamm; T Pickles
Journal:  Prostate Cancer       Date:  2014-03-03

10.  Newcastle-Ottawa Scale: comparing reviewers' to authors' assessments.

Authors:  Carson Ka-Lok Lo; Dominik Mertz; Mark Loeb
Journal:  BMC Med Res Methodol       Date:  2014-04-01       Impact factor: 4.615

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  12 in total

1.  Uptake of high-density lipoprotein by scavenger receptor class B type 1 is associated with prostate cancer proliferation and tumor progression in mice.

Authors:  C Alicia Traughber; Emmanuel Opoku; Gregory Brubaker; Jennifer Major; Hanxu Lu; Shuhui Wang Lorkowski; Chase Neumann; Aimalie Hardaway; Yoon-Mi Chung; Kailash Gulshan; Nima Sharifi; J Mark Brown; Jonathan D Smith
Journal:  J Biol Chem       Date:  2020-05-01       Impact factor: 5.157

2.  Prostate cancer incidence and mortality among men using statins and non-statin lipid-lowering medications.

Authors:  Maria I Van Rompay; Keith R Solomon; J Curtis Nickel; Gayatri Ranganathan; Philip W Kantoff; John B McKinlay
Journal:  Eur J Cancer       Date:  2019-03-06       Impact factor: 9.162

3.  Prostate-specific antigen nadir concentration, hypertension and diabetes as risk factors for biochemical failure after permanent 125I seed brachytherapy for prostate cancer.

Authors:  Essi Kovalainen; Markku H Vaarala
Journal:  Mol Clin Oncol       Date:  2016-09-13

4.  Examining Bias in Studies of Statin Treatment and Survival in Patients With Cancer.

Authors:  Louise Emilsson; Xabier García-Albéniz; Roger W Logan; Ellen C Caniglia; Mette Kalager; Miguel A Hernán
Journal:  JAMA Oncol       Date:  2018-01-01       Impact factor: 31.777

Review 5.  Statin use and survival outcomes in endocrine-related gynecologic cancers: A systematic review and meta-analysis.

Authors:  Weimin Xie; Li Ning; Yuenan Huang; Yan Liu; Wen Zhang; Yingchao Hu; Jinghe Lang; Jiaxin Yang
Journal:  Oncotarget       Date:  2017-06-20

6.  Statin and Bisphosphonate Induce Starvation in Fast-Growing Cancer Cell Lines.

Authors:  Heidrun Karlic; Florian Haider; Roman Thaler; Silvia Spitzer; Klaus Klaushofer; Franz Varga
Journal:  Int J Mol Sci       Date:  2017-09-15       Impact factor: 5.923

7.  The Effect of Statin Added to Systemic Anticancer Therapy: A Meta-Analysis of Randomized, Controlled Trials.

Authors:  Hyun Joo Jang; Hyeong Su Kim; Jung Han Kim; Jin Lee
Journal:  J Clin Med       Date:  2018-10-04       Impact factor: 4.241

8.  Retrospective cohort study of statin therapy effect on resected colorectal liver metastases.

Authors:  Edward Alabraba; Hussain Ibrahim; Adina Olaru; Iain Cameron; Dhanny Gomez; Nottingham Hpb Surgery Group
Journal:  World J Gastrointest Surg       Date:  2020-02-27

9.  Association Between Early Treatment With Tocilizumab and Mortality Among Critically Ill Patients With COVID-19.

Authors:  Shruti Gupta; Wei Wang; Salim S Hayek; Lili Chan; Kusum S Mathews; Michal L Melamed; Samantha K Brenner; Amanda Leonberg-Yoo; Edward J Schenck; Jared Radbel; Jochen Reiser; Anip Bansal; Anand Srivastava; Yan Zhou; Diana Finkel; Adam Green; Mary Mallappallil; Anthony J Faugno; Jingjing Zhang; Juan Carlos Q Velez; Shahzad Shaefi; Chirag R Parikh; David M Charytan; Ambarish M Athavale; Allon N Friedman; Roberta E Redfern; Samuel A P Short; Simon Correa; Kapil K Pokharel; Andrew J Admon; John P Donnelly; Hayley B Gershengorn; David J Douin; Matthew W Semler; Miguel A Hernán; David E Leaf
Journal:  JAMA Intern Med       Date:  2021-01-01       Impact factor: 21.873

10.  Statin and Cancer Mortality and Survival: An Umbrella Systematic Review and Meta-Analysis.

Authors:  Gwang Hun Jeong; Keum Hwa Lee; Jong Yeob Kim; Michael Eisenhut; Andreas Kronbichler; Hans J van der Vliet; Jae Il Shin; Gabriele Gamerith
Journal:  J Clin Med       Date:  2020-01-23       Impact factor: 4.241

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