Literature DB >> 24066025

The association of diabetes mellitus with clinical outcomes after coronary stenting: a meta-analysis.

Shan-Yu Qin1, You Zhou, Hai-Xing Jiang, Bang-Li Hu, Lin Tao, Min-zhi Xie.   

Abstract

BACKGROUND: Previous studies have shown inconsistent results on the association between diabetes mellitus (DM) and some clinical outcomes. We conducted a meta-analysis of observational studies to assess effect of DM on clinical outcomes after coronary stenting.
METHODS: We searched for studies without language restriction in PubMed, Embase and Cochrane library prior to 2012. The clinical outcomes including in-stent restenosis (ISR), major adverse cardiac events (MACE), stent thrombosis (ST), target lesion revascularization (TLR) and target vessel revascularization (TVR). Adjusted odds ratio (OR), and the corresponding 95% confidence interval (95% CI) was summarized.
RESULTS: 55 studies involving 128,084 total patients (38,416 DM patients and 89,668 controls) were eligible for our analysis. Overall, there were significant associations between DM and ISR (OR = 1.70, 95% CI: 1.53-1.89, I(2) = 0.0%), MACE (OR = 1.54, 95% CI: 1.36-1.73, I(2) = 29.0%), ST (OR = 2.01, 95% CI: 1.36-2.97, I(2) = 47.7%), TLR (OR = 1.46, 95% CI: 1.26-1.68, I(2) = 43.3%) as well as TVR (OR = 1.33, 95% CI: 1.17-1.51, I(2) = 48.3). Subgroup analysis showed that the associations were similar between BMS and DES implantation. Moreover, there was no significant association in the ST subgroup after 1-3 years follow-up.
CONCLUSIONS: Our meta-analysis suggests that after coronary stent implantation, DM is associated with ISR, MACE, ST, TLR and TVR. DM appears to be a vital risk factor of these clinical outcomes.

Entities:  

Mesh:

Year:  2013        PMID: 24066025      PMCID: PMC3774683          DOI: 10.1371/journal.pone.0072710

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

As one of the most common non-communicable diseases in the world, diabetes mellitus (DM) has a profound impact on the development and progression of coronary artery disease (CAD) [1]–[3]. At present, percutaneous coronary intervention (PCI), including bare metal stent (BMS) and drug-eluting stent (DES) implantation, is a major and powerful revascularization strategy to treat the stenotic coronary arteries in CAD patients. Despite rapid development of revascularization techniques and adjunct antithrombotic therapies in the modern society, recent findings show that patients have increased rates of negative clinical outcomes compared with those without DM [4]–[6]. Although several studies reported that DM was an independent risk factor of clinical outcomes after coronary stenting [7]–[10], some other studies failed to identify the association in patients after DES implantation [11], [12]. Additionally, several meta-analyses [13], [14] and clinical trials [15], [16] showed inconsistent results which might be caused by 1) uncontrolled or incomplete control for confounding 2) relatively small sample size. Hence, the current findings on associations between DM and a number of clinical outcomes after stenting remain obscure. By using meta-analysis, we sought to accurately evaluate the relationships between DM and clinical outcomes.

Materials and Methods

Search strategy

In order to identify all the studies which examined the association between DM and the clinical outcomes after coronary stenting, we conducted a meta-analysis according to the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [17]. We systematically searched Cochrane clinical trials database, Medline (PubMed) and EMBASE prior to June, 2012 following search terms: “diabetes mellitus” or “DM”, “stent”, “restenosis”, “major adverse cardiac events” or “MACE”, “thrombosis”, “target lesion revascularization” or “TLR”, “target vessel revascularization” or “TVR”. The search was not restricted by language or publication status. And the references of all retrieved publications were searched again to trace additional relevant studies. Moreover, the relevant review articles and their references were checked. In cases of multiple publications of the same or overlapping cohorts, the most recent ones with largest sample size were selected. At least two independent reviewers screened potentially relevant articles. Disagreements were resolved by discussion or upon consensus from the third reviewer.

Inclusion and exclusion criteria

Studies that we identified should meet the following criteria: (1) the study design must be an observational study in human beings; (2) the study must have investigated the association between DM and the clinical outcomes after coronary stenting; (3) the study must have provided data of the associations between DM and clinical outcomes [the adjusted odds ratio (OR) and 95% confidence interval (95% CI)] after multivariate analysis. (4) ISR was defined as ≥50% diameter stenosis of the culprit lesion by quantitative coronary analysis. MACE varied slightly among a few studies, but generally it should consist of cardiac death, myocardial infarction and repeat revascularization. ST was defined as angiographic proven thrombus or total occlusion within the stent vessel at the time of clinically driven angiography for ischemia. TLR was defined as repeat PCI performed to revascularize the index lesion. TVR was defined as any PCI to revascularize the target vessel. (5) The follow-up duration must be at least 6 months. Excluded criteria were: laboratory studies, review articles, animal studies and the follow-up period shorter than 6 months.

Data Extraction and quality assessment

Two blinded reviewers independently performed data extraction. Disagreements between the reviewers were resolved through discussion or by the third reviewer. The extracted data included: (1) first author's last name, the publication year, origin of the studied population; (2) characteristics of the study population, (3) stent types, duration of follow-up; (4) study design; (5) adjustment of confounding factors. Two blinded reviewers independently performed the quality assessment. The quality of non-randomized observational studies was assessed by reporting the key components of study designs in accordance with guidelines of the Meta-analysis of Observational Studies in Epidemiology (MOOSE) group [18]. The quality of randomized controlled trials was evaluated according to the Cochrane Collaboration [19] by estimating the risk of selection, performance, detection and attrition bias (expressed as low risk of bias [A], moderate risk of bias [B], high risk of bias [C], or incomplete reporting leading to inability to ensure the underlying risk of bias [D]).

Statistical analysis

Software STATA version 11.2 (Stata Corporation, College Station, TX, USA) was used for all analyses. Data were expressed as OR and 95% CI. The individual estimates of the log OR with its standard error from each study were synthesized to obtain the summary estimate of the OR by using inverse variance weighted method. We assessed the heterogeneity between eligible studies by the Cochran Q test. We considered P values less than 0.10 as an indicator of significant heterogeneity because of the low statistical power. We also used the inconsistency index I2 to quantify heterogeneity [20]. The difference between subgroups was further measured by interaction test [21]. Funnel plot were constructed to assess publication bias by using Egger's linear regression test [22]. P values less than 0.05 indicated significant publication bias.

Results

Literature search

The primary literature search retrieved 1,018 records. After screening according to title, abstract and full text, 55 studies were finally selected including 128,084 total patients (38,416 DM patients and 89,668 controls. 29 studies (See supplement references in File S1) were prospective design, 18 were retrospective design, 8 were RCT. 21 studies were registered in clinical data base. The flow summary of selection process is presented in Figure S1.

Studies characteristics and quality assessment

All the association data was adjusted according to confounding factors. All the studies clearly stated that the included and excluded criteria of subjects for the coronary stent implantation. The procedure of PCI with stent implantation and drug treatment of pre- and post procedure was also clearly stated. The diagnosis of DM was based on patients' history, or the intensively treated with insulin, or an oral antidiabetic agent, or patients had an abnormal blood glycemic level by overnight fasting and glycemic tolerance test according to the World Health Organization criteria. Patient demographics of each study are listed in Table 1,2,3,4,5, S1–S5 in File S1. The quality assessments of the studies are presented in Table S6–S7 in File S1.
Table 1

Characteristics of 20 studies investigating ISR in the meta-analysis.

StudyYearDesignStentAgeMaleTotal PatientsDM patientsFUOR(95%CI)
Amano T(S1)2006ProspectiveBMS65124(79.5)156596 m2.93(1.11–7.73)
Ari H(S2)2010ProspectiveB/D60.380(76.2)105126 m1.84(0.64–5.27)
Chen YL(S3)2009RetrospectiveBMS61499(81.9)6091976 m1.831(1.274–2.633)
Ferrero V(S4)2003RetrospectiveBMS66710(82.7)8581626 m1.5(1.2–1.8)
1.6(1.2–2)
Hong SN(S5)2006RetrospectiveBMS5687(72.5)120286 m1.771(0.939–9.34)
Hong YJ(S6)2007ProspectiveB/D61181(72.7)249706 m2.494(0.714–7.342)
Ijsselmuiden AJJ(S7)2003RCTBMS61324(81.0)400326 m2.35(1.2–4.6)
Ino Y(S8)2011RetrospectiveSES68317(63.9)4961836–9 m2.342(1.117–4.908)
Jørgensen E(S9)2001RCTBMS60293(79.4)369296 m3(1–8.7)
Kamitani T(S10)2005ProspectiveBMS61.897(89.0)109516 m0.96(0.324–2.82)
Kim JS(S11)2009RetrospectiveSES56394(70.7)5571429 m1.81(0.77–4.29)
Kuwano T(S12)2011RetrospectiveB/D67859(79.8)10765408 m1.32(0.87–2.01)
Liistro F(S13)2006ProspectiveSES66188(77.0)244619 m3.21(1.01–6.4)
Niroomand F(S14)2004RetrospectiveBMS63.5225(100.0)225486 m2.08(1.12–3.84)
Ribichini F(S15)2003RetrospectiveBMS62.5737(82.2)8971256 m2.34(1.61–3.41)
Rathore S(S16)2009RetrospectiveSES-PES68.21413(75.0)18856979 m1.45(1.07–1.97)
Rittersma SZH(S17)2004ProspectiveBMS58278(80.6)345326–10 m0.87(0.34–2.25)
Sahara M(S18)2004RetrospectiveBMS66.380(86.9)92186 m2.494(0.716–8.344)
Xu YL(S19)2011ProspectiveSES-PES57237(78.2)303868 m2.046(0.933–4.485)
Zairis MN(S20)2002ProspectiveBMS59.3396(82.0)483956 m2.12(1.3–3.45)
Table 2

Characteristics of 18 studies investigating MACE in the meta-analysis.

StudyYearDesignStentAgeMaleTotal PatientsDM patientsFUOR(95%CI)
Briguori M(S21)2005RetrospectiveSES65.9781(77.2)10122225 y1.45(0.62–3.56)
Cosgrave J(S22)2005ProspectiveSES-PES62.3465(87.9)5291279 m2.06(1.37–3.10)
Fath-Ordoubadi F (S23)2012RCTDES63.11268(77.3)16404622 y1.54(1.11–2.213)
Fujiwara K(S24)2002RetrospectiveBMS64.2268(83.0)3232146 m1.99(1.23–3.22)
Gao RL(S25)2008ProspectiveDES60967 (81.3)11892719 m2.149(1.085–4.256)
Gurvitch R(S26)2010ProspectiveDES62.6404(71.6)5648312 m1.75(0.96–3.20)
Hoffmann R(S27)2007RetrospectiveB/D60595(80.1)73416427.5 m2.14(1.48–3.07)
Ijsselmuiden AJJ(S7)2003RCTBMS61324(81.0)400326 m2.22(1.10–4.40)
Kralev S(S28)2009ProspectiveBMS65291(73.9)394956 m1.42(0.86–2.35)
Kuchulakanti PK(S29)2005ProspectiveSES64.1897(63.8)14074966 m2.3(0.9–5.8)
Lee MS(S30)2008RetrospectiveDES68651(73.4)88724412 m2.10(1.06–4.16)
Lee SR(S31)2008ProspectiveSES621123(72.8)15413806 m1.167(0.680–2.004)
Nakamura M(S32)2010ProspectiveSES66.2641(72.1)8898893 y1.535(1.034–2.279)
Novack V(S33)2009ProspectiveDES63.3494(68.4)72225612 m1.00(0.71–1.39)
Ogita M(S34)2011RetrospectiveBMS64.7628(63.9)9832712214 d1.03(0.65–1.64)
Patsa C(S35)2011ProspectiveDES61.8423(82.7)51117320 m2.01(0.99–4.11)
Yan BP(S36)2011ProspectiveDES64.66875(74.7)9204220912 m1.3(1.1–1.54)
Zahn R(S37)2010RCTSES64.88826(75.5)1089431976.4 m1.48(1.16–1.90)
Table 3

Characteristics of 18 studies investigating ST in the meta-analysis.

StudyYearDesignStentAgeMaleTotal PatientsDM patientsFUOR(95%CI)
Daemen J1(S38)2007RCTSES-PES62.66065(75%)814613153 y0.67(0.2–2.27)
1.22(0.34–4.34)
Hong SJ(S39)2010RCTSES-PES65.9125(74.0)1691693 y1.347(0.266–6.83)
Kimura T(S40)2012ProspectiveSES68.49643(75.0)1282463125 y3.86(1.51–9.88)
Li Y(S41)2011ProspectiveSES64.2757(73.6)102923512 m6.852(2.091–22.453)
Machecourt J(S42)2007ProspectiveSES61.91291(74.5)17318443 y2.7(1.4–5.2)
Palmerini T(S43)2011RCTB/D63.75260(73.4)7162192412 m2.39(1.53–3.72)
Park DW(S44)2009ProspectiveDES62.72229(70.5)316086529 m0.62(0.2–1.94)
Pinto Slottow TL(S45)2008RetrospectiveDES64.55492(63.4)840229012 y1.9(1.2–3.1)
Table 4

Characteristics of 8 studies investigating TLR in the meta-analysis.

StudyYearDesignStentAgeMaleTotal PatientsDM patientsFUOR(95%CI)
Cosgrave J(S46)2007RetrospectiveSES-PES62.91109(86.4)12833449 m2.34(1.5–3.65)
Freixa X(S47)2012RetrospectiveDES62.71286(74.1)1167320.4 m1.18(0.51–2.72)
Hoffmann R(S27)2007RetrospectiveB/D60595(80.1)73416427.5 m1.93(1.13–3.36)
Kimura T(S40)2012ProspectiveSES68.49643(75.0)128246312<1 y1.44(1.26–1.65)
1.19(1.04–1.37)
Nakamura M(S32)2010ProspectiveSES66.2641(72.1)8898893 y1.676(1.018–2.716)
Naidu SS(S48)2012ProspectiveESE64.55612(69.6)8061286012 m1.6(1.23–2.07)
Sardi GL(S49)2011ProspectiveDES66.2109(55.1)19813612 m1.16(0.68–1.97)
Tahara S(S50)2011ProspectiveSES63.7892(66.7)133638512 m1.3(0.65–2.6)
Table 5

Characteristics of 8 studies investigating TVR in the meta-analysis.

StudyYearDesignStentAgeMaleTotal PatientsDM patientsFUOR(95%CI)
Agema WRP(S51)2004ProspectiveBMS62.12250(70.1)31774959.6 m1.57(1.19–2.07)
Akin I(S52)2010ProspectiveSES-PES66.73910(74.9)5218165912 m1.438(0.994–2.081)
Gurvitch R(S26)2010ProspectiveDES62.6404(71.6)5648312 m1.45(0.66–3.18)
Lemos PA(S53)2004ProspectiveSES61670(70.0)95816012 m1.81(1.1–2.99)
Marzocchi A(S54)2007ProspectiveB/D687992(75.2)1062926352 y1.26(1.09–1.46)
Park DW(S44)2009ProspectiveDES62.72229(70.5)316086529 m1.75(1.1–2.78)
Singh M(S55)2005RCTBMS59.98893(77.4)1148426849 m1.088(0.85–1.392)
1.53(1.22–1.92)
Zahn R(S37)2010RCTSES64.88826(75.5)1089431976.4 m1.05(0.89–1.25)

ISR

21 studies including 9,578 total patients and 2,667 DM patients, investigated the association between DM and ISR after coronary stenting. 12 studies were BMS implantation, 5 were DES implantation, and 4 were mixed stent implantation. Overall, there was significant association between DM and ISR (OR = 1.70, 95% CI: 1.53–1.89) (Figure 1), no significant heterogeneity was identified (I2 = 0.0%, P = 0.586). Subgroup analysis showed that the association remained significant in BMS (OR = 1.76, 95%CI = 1.54–2.00) as well as DES patients (OR = 1.70, 95% CI: 1.33–2.17) (Figure S2) (P interaction = 0.972). Little publication bias was detected (Egger's test: P = 0.054).
Figure 1

Meta- analysis of the association between DM and ISR.

MACE

18 studies, consisting 33,823 total patients and 9,785 DM patients, investigated the association between DM and MACE after coronary stenting. 13 studies were DES implantation, 4 were BMS implantation, 1 was mixed. After stenting, the overall of DM with MACE was significant (OR = 1.54, 95% CI: 1.36–1.73) (Figure 2). The heterogeneity was mild (I2 = 29.0%, P = 0.121). Subgroup analysis showed that the DM was associated with MACE in BMS (OR = 1.68, 95% CI: 1.25–2.26) as well as DES (OR = 1.47, 95% CI: 1.30–1.66) implantation (Figure S3). Interestingly, we only found the significant association in the subgroup with follow-up duration less than 3 years (OR = 1.57, 95% CI: 1.39–1.78) rather than the one with over 3 years follow-up (OR = 1.11, 95% CI: 0.74–1.67) (Figure S4). However, the interaction tests by using method from Altman et al [21] failed to identify significant difference between these 2 subgroups (P interaction = 0.163). In addition, the significance was similar in the subgroups whose follow-up duration was less than 3 years (Less than 1 year, OR = 1.51, 95% CI: 1.25–1.82; 1–3 years, OR = 1.66, 95% CI: 1.41–1.94). The marginal publication bias was detected (Egger's test: P = 0.046).
Figure 2

Meta- analysis of the association between DM and MACE.

ST

There were 8 eligible studies involving 42,623 total patients and 14,565 DM patients. 7 studies were DES implantation and 1 was mixed. Overall association between DM and thrombus after stenting was significant (OR = 2.01, 95% CI: 1.36–2.97) (Figure 3) and moderate heterogeneity existed (I2 = 47.7%, P = 0.054). Subgroup analysis showed there was significant association in the subgroup whose follow-up duration was less than 1 year (OR = 3.48, 95%CI = 1.30–9.37), but not in over 1 year (OR = 1.49, 95%CI = 0.93–2.38) (Figure S5). Significant difference between subgroups was not detected (P interaction = 0.152). No significant publication bias was indicate by Egger's test (P = 0.496).
Figure 3

Meta- analysis of the association between DM and ST.

TLR

8 studies including 25,441 total patients and 11,163 DM patients were eligible. Almost all the studies used DES implantation except one. Overall, there was significant association between DM and TLR (OR = 1.46, 95% CI: 1.26–1.68) (Figure 4). Moderate heterogeneity existed (I2 = 43.3%, P = 0.079). In the subgroups according to follow-up yeas, the association remained significant (Figure S5) (P interaction = 0.330). No significant publication bias was detected (Egger's test: P = 0.286).
Figure 4

Meta- analysis of the association between DM and TLR.

TVR

8 studies involving 46,084 total patients and 11,778 DM patients were eligible. 2 studies were BMS implantation, 1 studies mixed. Overall association was significant between DM and MACE (OR = 1.33, 95% CI: 1.17–1.51) (Figure 5). Moderate heterogeneity was found (I2 = 48.3%, P = 0.051). The significance was similar in the groups according to stent type (BMS, OR = 1.38, 95% CI: 1.09–1.73; DES, OR = 1.39, 95% CI: 1.07–1.80) implantation (Figure S6) and follow-up years (Less than 1 year, OR = 1.33, 95% CI: 1.13–1.58: over 1 year, OR = 1.38, 95%CI: 1.03–1.83) (Figure S7). Egger's test indicated no significant publication bias (P = 0.106).
Figure 5

Meta- analysis of the association between DM and TVR.

Discussion

DM patients commonly have increased risk of CAD with more severe disease phenotypes than non-DM controls [23], [24]. Moreover, they have a larger extent of raised atherosclerotic coronary lesions than those non-DM people, which are often associated with negative coronary remodeling such as longer stenotic lesions and smaller diameter vessels [25], [26]. These unfavorable features for PCI result in less efficiency of treatment for both short and long term follow up. DES represents a breakthrough technology for PCI. In a number of randomized trials, DES is powerful and effective for revascularization and reducing restenosis [27]–[29]. Bangalore et al. recently reported the treatment effects by using DES appear to be more efficacious than BMS in DM patients [30]. However, the current opinion of the impact of DM on the clinical outcome remains speculative. In the present study, after analysis of data from 128,084 total patients, we found that DM was associated with several clinical outcomes, and the corresponding negative impact was similar between BMS and DES implantation. Our results suggested there was a remarkable negative effect of DM on coronary stent implantation. Hence, DM should also be taken into account cautiously in the treatment of patients by stent placement. Generally, ISR, TLR and TVR, are critical indicators of efficacy of stenting to prevent restenosis. We reported there was a significant association between DM and ISR, TLR and TVR. These associations remained remarkable even after one year follow-up, regardless of stent type. Even DES implantation has great benefits in reducing occurrence of ISR, TLR and TVR compared to BMS implantation [14]–[16], the important impact of DM should be considered in the PCI. The present study found that DM was associated with MACE without significant difference between BMS and DES subgroups. The result was similar among three registry studies [31]–[33], suggesting DM may increase occurrence of cardiac death, myocardial infarction and repeat revascularization. Although our results showed that this association was not significant after three years follow-up, only two studies were included in this subgroup analysis. The interaction test further indicated no difference between these two subgroups. Therefore, it was uncertain whether the association between DM and MACE remained after a long-term follow-up. In addition, the components of MACE were not presented or the definition of MACE was slightly different between some studies. Therefore this result should be interpreted with caution. A large prospective study with longer-term follow-up should be warranted in the future. It is reported that the ST incidence after stent implantation ranges from 0.5% to 2%, and the ST mortality could even reach 45% [34]. Vascular response to stenting, platelets and coagulation plays important roles in the occurrence of ST [35]. Moreover, ST risk might be even greater in DM patients [5], [6]. Our results showed that after DES implantation within one year follow-up, the liability of DM patients to have ST was two times higher than those non-DM patients. However, the effect of DM was not significant in the subgroup that was followed up more than one year, suggesting this effect might alleviate in a longer-term. Hence, the further studies are warranted. The present meta-analysis has several advantages in comparison to previous studies. First, our analysis of 55 studies with a larger sample size has a great chance to provide reliable estimates. Second, the odds ratios using in our meta-analysis were all extracted from multivariate regression analysis after adjustment, which might provide a more reliable and accurate assessment. Third, little heterogeneity was detected, suggesting the reliability of the results. Several limitations should be considered. First, in several studies, the medical therapy to achieve recommended glycemic control targets and management of usual risk factors in these patients did not present in several included studies. No information concerning the level of glycemic control of these patients as well as their medical regimen was given, and medical regimens were simplified into insulin-requiring versus non–insulin-requiring. The validity of analysis was uncertain given these uncontrolled variables. Second, although all the included studies presented the inclusion and exclusion criteria of subjects, the percentage of each specific disease was not specifically presented. Due to a variety of incidence rates of ISR or ST among several common coronary artery diseases, it remains unclear whether our results from the mixed diseases could be used to extrapolate the real situation of a single one, such as the stable angina, unstable angina, and ST-segment-elevation myocardial infarction [36]–[38]. Third, although all the eligible studies reported that they collected consecutive patients' data, some included studies were retrospective design which might cause several potential biases such as selection bias, misclassification and information bias. Fourth, due to the limited data available, we could not be able to further analyze the effect of DM on different type of DES, such as sirolimus-eluting stent (SES) and paclitaxel-eluting stent (PES). Several studies reported that the incidence of ISR and some other post-procedural complications are different between SES and PES [39], [40]. Fifth, there was a moderate publication bias in the analysis of DM and MACE (Egger's test: P = 0.046), which indicates a bias of literature selection. Hence, the results should be interpreted with caution and more studies on relationship between DM and MACE are warranted in the future. In summary, we suggest DM has a pivotal effect on a number of clinical outcomes after coronary stenting. It might play a profound role in the development of ISR, MACE, ST, TLR, and TVR. The complicated mixed effect should be considered in treatment DM patients. PRISMA 2009 Checklist. (DOC) Click here for additional data file. Flow diagram of the study selection process. (TIF) Click here for additional data file. Subgroup analysis of ISR according to stent type. (TIF) Click here for additional data file. Subgroup analysis of MACE according to stent type. (TIF) Click here for additional data file. Subgroup analysis of MACE according to follow-up. (TIF) Click here for additional data file. Subgroup analysis of ST according to follow-up. (TIF) Click here for additional data file. Subgroup analysis of TLR according to follow-up. (TIF) Click here for additional data file. Subgroup analysis of TVR according to stent type. (TIF) Click here for additional data file. Subgroup analysis of TVR according to follow up. (TIF) Click here for additional data file. Supplementary Appendix. (DOC) Click here for additional data file.
  39 in total

1.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

2.  Coronary angioplasty in diabetic patients. The National Heart, Lung, and Blood Institute Percutaneous Transluminal Coronary Angioplasty Registry.

Authors:  K E Kip; D P Faxon; K M Detre; W Yeh; S F Kelsey; J W Currier
Journal:  Circulation       Date:  1996-10-15       Impact factor: 29.690

3.  Comparison of restenosis rate with sirolimus-eluting stent in STEMI patients with and without diabetes at 6-month angiographic follow-up.

Authors:  Shuangtao Ma; Dachun Yang; Xin Zhang; Bing Tang; De Li; Meiqin Sun; Yongjian Yang
Journal:  Acta Cardiol       Date:  2011-10       Impact factor: 1.718

Review 4.  Hyperglycemia and cardiovascular disease in type 2 diabetes.

Authors:  M Laakso
Journal:  Diabetes       Date:  1999-05       Impact factor: 9.461

Review 5.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

6.  Randomized clinical trial of abciximab in diabetic patients undergoing elective percutaneous coronary interventions after treatment with a high loading dose of clopidogrel.

Authors:  Julinda Mehilli; Adnan Kastrati; Helmut Schühlen; Alban Dibra; Franz Dotzer; Nicolas von Beckerath; Hildegard Bollwein; Jürgen Pache; Josef Dirschinger; Peter P Berger; Albert Schömig
Journal:  Circulation       Date:  2004-11-07       Impact factor: 29.690

7.  Efficacy of stenting after rotational atherectomy for ostial LAD and ostial LCX stenosis in patients with diabetes.

Authors:  Koichi Kishi; Yoshikazu Hiasa; Takeshi Tomokane; Kouji Yamaguchi; Riyo Ogura; Hitoshi Miyajima; Yoshikazu Ohara; Tatsuro Ogata; Kenichiro Yuba; Naokli Suzuki; Takefumi Takahashi; Shinobu Hosokawa; Ryuji Otani
Journal:  J Invasive Cardiol       Date:  2005-01       Impact factor: 2.022

8.  Propensity analysis of long-term survival after surgical or percutaneous revascularization in patients with multivessel coronary artery disease and high-risk features.

Authors:  Sorin J Brener; Bruce W Lytle; Ivan P Casserly; Jakob P Schneider; Eric J Topol; Michael S Lauer
Journal:  Circulation       Date:  2004-04-26       Impact factor: 29.690

9.  A polymer-based, paclitaxel-eluting stent in patients with coronary artery disease.

Authors:  Gregg W Stone; Stephen G Ellis; David A Cox; James Hermiller; Charles O'Shaughnessy; James Tift Mann; Mark Turco; Ronald Caputo; Patrick Bergin; Joel Greenberg; Jeffrey J Popma; Mary E Russell
Journal:  N Engl J Med       Date:  2004-01-15       Impact factor: 91.245

10.  Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction.

Authors:  S M Haffner; S Lehto; T Rönnemaa; K Pyörälä; M Laakso
Journal:  N Engl J Med       Date:  1998-07-23       Impact factor: 91.245

View more
  11 in total

1.  Association between low serum magnesium level and major adverse cardiac events in patients treated with drug-eluting stents for acute myocardial infarction.

Authors:  Guipeng An; Zhongqi Du; Xiao Meng; Tao Guo; Rui Shang; Jifu Li; Fengshuang An; Wenjing Li; Cheng Zhang
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

2.  Elevated Levels of Very Low-density Lipoprotein Cholesterol Independently Associated with In-stent Restenosis in Diabetic Patients after Drug-eluting Stent Implantation.

Authors:  Zheng Qin; Fang-Wu Zheng; Chuang Zeng; Kuo Zhou; Yu Geng; Jian-Long Wang; Yue-Ping Li; Qing-Wei Ji; Yu-Jie Zhou
Journal:  Chin Med J (Engl)       Date:  2017-10-05       Impact factor: 2.628

3.  New predictors of in-stent restenosis in patients with diabetes mellitus undergoing percutaneous coronary intervention with drug-eluting stent.

Authors:  Jian-Long Wang; Zheng Qin; Zhi-Jian Wang; Dong-Mei Shi; Yu-Yang Liu; Ying-Xin Zhao; Li-Xia Yang; Wan-Jun Cheng; Yu-Jie Zhou
Journal:  J Geriatr Cardiol       Date:  2018-02       Impact factor: 3.327

4.  Iso-Osmolar Iodixanol Induces Less Increase in Circulating Endothelial Microparticles In Vivo and Less Endothelial Apoptosis In Vitro Compared with Low-Osmolar Iohexol.

Authors:  Beijian Zhang; Yi Zhang; Bo Liu; Lu Fang; Yigang Li; Shu Meng
Journal:  Contrast Media Mol Imaging       Date:  2018-04-10       Impact factor: 3.161

5.  Remnant lipoproteins play an important role of in-stent restenosis in type 2 diabetes undergoing percutaneous coronary intervention: a single-centre observational cohort study.

Authors:  Zheng Qin; Kuo Zhou; Yue-Ping Li; Jian-Long Wang; Wan-Jun Cheng; Cheng-Ping Hu; Chao Shi; Hua He; Yu-Jie Zhou
Journal:  Cardiovasc Diabetol       Date:  2019-01-28       Impact factor: 9.951

6.  Risk factors of in-stent restenosis in patients with diabetes mellitus after percutaneous coronary intervention: A protocol for systematic review and meta-analysis.

Authors:  Suiping Li; Chao Luo; Haimei Chen
Journal:  Medicine (Baltimore)       Date:  2021-04-16       Impact factor: 1.817

7.  Angiographic and Clinical Impact of Successful Manual Thrombus Aspiration in Diabetic Patients Undergoing Primary PCI.

Authors:  Mohamed Shehata
Journal:  Int J Vasc Med       Date:  2014-04-02

8.  Neoatherosclerosis development following bioresorbable vascular scaffold implantation in diabetic and non-diabetic swine.

Authors:  Nienke S van Ditzhuijzen; Mie Kurata; Mieke van den Heuvel; Oana Sorop; Richard W B van Duin; Ilona Krabbendam-Peters; Jurgen Ligthart; Karen Witberg; Magdalena Murawska; Brett Bouma; Martin Villiger; Hector M Garcia-Garcia; Patrick W Serruys; Felix Zijlstra; Gijs van Soest; Dirk-Jan Duncker; Evelyn Regar; Heleen M M van Beusekom
Journal:  PLoS One       Date:  2017-09-12       Impact factor: 3.240

9.  Biodegradable polymer drug-eluting stents versus second-generation drug-eluting stents in patients with and without diabetes mellitus: a single-center study.

Authors:  Xiao-Fang Tang; Yuan-Liang Ma; Ying Song; Jing-Jing Xu; Yi Yao; Chen He; Huan-Huan Wang; Ping Jiang; Lin Jiang; Ru Liu; Zhan Gao; Xue-Yan Zhao; Shu-Bin Qiao; Yue-Jin Yang; Run-Lin Gao; Bo Xu; Jin-Qing Yuan
Journal:  Cardiovasc Diabetol       Date:  2018-08-14       Impact factor: 9.951

10.  Associations of myeloperoxidase, interleukin-17A and heparin-binding EGF-like growth factor levels with in-stent restenosis after percutaneous coronary intervention: a single-centre case-control study in China.

Authors:  Hua Jiang; Hongmei Zhang; Ying Yang; Xuezhou Yang
Journal:  BMJ Open       Date:  2020-11-06       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.