Chinese General Practice ›› 2022, Vol. 25 ›› Issue (17): 2135-2144.DOI: 10.12114/j.issn.1007-9572.2022.01.602
• Evidence-based Medicine • Previous Articles Next Articles
Received:
2021-11-19
Revised:
2022-01-17
Published:
2022-04-28
Online:
2022-04-28
Contact:
Jing WU
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通讯作者:
吴静
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.01.602
第一作者 | 发表时间(年) | 国家 | 样本量(例) | 平均年龄(岁) | 男性〔n(%)〕 | 糖尿病〔n(%)〕 | 心脏手术类型与占比(%) | 术前HbA1c分界值 | HbA1c分界参考标准 |
---|---|---|---|---|---|---|---|---|---|
ALSERIUS [ | 2008 | 瑞典 | 605 | 65.0 | 478(79.0) | 161(26.6) | 100.0① | A/C/E | — |
HALKOS [ | 2008 | 美国 | 3 089 | 62.6 | 2 243(72.6) | 1 240(40.1) | 100.0① | E | ADA |
MATSUURA [ | 2009 | 日本 | 101 | 65.5 | 80(79.2) | 101(100.0) | 100.0① | D | — |
GÖKSEDEF [ | 2010 | 土耳其 | 150 | 61.7 | 106(70.7) | 53(35.3) | 100.0① | E | ADA |
SATO [ | 2010 | 加拿大 | 130 | 66.9 | 91(70.0) | 130(100.0) | 60.0①;18.5②;21.5③ | D | IEC |
TEKUMIT [ | 2010 | 土耳其 | 166 | 60.8 | 104(62.7) | 54(32.5) | 100① | C | — |
KNAPIK [ | 2011 | 波兰 | 735 | 64.7 | 487(66.3) | 735(100.0) | 100① | E | ADA |
TSURUTA [ | 2011 | 日本 | 306 | 59.8 | 242(79.1) | 306(100.0) | 100① | D/F | UKPDSG |
GUMUS [ | 2013 | 土耳其 | 510 | 60.6 | 382(74.9) | 205(40.2) | 96.3①;3.7③ | C | — |
STRAHAN [ | 2013 | 澳大利亚 | 712 | — | — | 712(100.0) | 100.0① | E | — |
BISKUPSKI [ | 2014 | 波兰 | 350 | 65.6 | 239(68.3) | 350(100.0) | 76.3①;5.4②;18.3③ | E/G | — |
ENGOREN [ | 2014 | 美国 | 880 | 64.7 | 640(72.7) | 415(47.2) | 100.0① | C/E | — |
FARITOUS [ | 2014 | 伊朗 | 216 | 64.0 | 138(63.9) | 76(35.2) | 100.0① | E | — |
SUBRAMANIAM [ | 2014 | 美国 | 1 461 | 68.0 | 1 093(74.8) | 562(38.5) | 74.1①;25.9② | D | — |
NYSTRÖM [ | 2015 | 瑞典 | 764 | 57.0 | 425(55.6) | 764(100.0) | 100.0① | E/G/H/I | — |
SANTOS [ | 2015 | 阿根廷 | 96 | 63.6 | 79(82.3) | 96(100.0) | 100.0① | E | ADA |
韩斐[ | 2016 | 中国 | 175 | 62.2 | 113(64.6) | 175(100.0) | 100.0① | E/G | IEC、ADA |
KUHL [ | 2016 | 瑞典 | 6 313 | 68.4 | 4 834(76.6) | 6 313(100.0) | 100.0① | E/G/H/I | — |
SURER [ | 2016 | 土耳其 | 72 | 63.2 | 40(55.6) | 72(100.0) | 100.0① | B/G | — |
BARDIA [ | 2017 | 美国 | 763 | 67.0 | 418(54.8) | 145(19.0) | 100.0① | D | — |
FINGER [ | 2017 | 美国 | 531 | 62.6 | 385(72.5) | 182(34.3) | 50.6①;22.8②;9.8③;16.8④ | E | ADA |
KOCOGULLARI [ | 2017 | 土耳其 | 202 | 61.6 | 162(80.2) | 0(0) | 100.0① | B | — |
NARAYAN [ | 2017 | 印度 | 4 678 | 58.8 | 4 254(90.9) | 3 045(65.1) | 100.0① | D | — |
AYDINLI [ | 2019 | 土耳其 | 354 | 60.8 | 223(63.0) | 354(100.0) | 100.0① | E | — |
NICOLINI [ | 2018 | 意大利 | 2 606 | 67.5 | 2 241(86.0) | 942(36.1) | 100.0① | E/H | — |
RAMADAN [ | 2018 | 埃及 | 80 | 57.4 | 61(76.3) | 80(100.0) | 100.0① | E | ADA |
王前伟[ | 2019 | 中国 | 304 | 62.3 | 220(72.4) | 0(0) | 100.0① | C | CDS |
张忠义[ | 2019 | 中国 | 122 | 54.5 | 70(57.4) | 122(100.0) | 100.0① | D | ADA |
ALMOGATI [ | 2019 | 沙特 | 305 | 59.1 | 250(82.0) | 249(81.6) | 100.0① | E | ADA |
KHAN [ | 2019 | 美国 | 1 133 | 65.0 | 780(68.8) | 545(48.1) | 100.0① | E | — |
ROBICH [ | 2019 | 美国 | 6 415 | 65.6 | 4 965(77.4) | 2 674(41.7) | 100.0① | B/D/G | ADA |
石宇[ | 2020 | 中国 | 180 | 64.1 | 114(63.3) | — | 100.0① | D | — |
KIM [ | 2020 | 韩国 | 703 | 65.8 | 499(71.0) | 703(100.0) | 100.0① | E | ADA |
SHOGHLI [ | 2020 | 伊朗 | 224 | 59.1 | 71(31.7) | 224(100.0) | 100.0② | E | ADA |
钟艳[ | 2021 | 中国 | 395 | 61.7 | 303(76.7) | 166(42.0) | 100.0① | G | — |
Table 1 Basic data of included articles
第一作者 | 发表时间(年) | 国家 | 样本量(例) | 平均年龄(岁) | 男性〔n(%)〕 | 糖尿病〔n(%)〕 | 心脏手术类型与占比(%) | 术前HbA1c分界值 | HbA1c分界参考标准 |
---|---|---|---|---|---|---|---|---|---|
ALSERIUS [ | 2008 | 瑞典 | 605 | 65.0 | 478(79.0) | 161(26.6) | 100.0① | A/C/E | — |
HALKOS [ | 2008 | 美国 | 3 089 | 62.6 | 2 243(72.6) | 1 240(40.1) | 100.0① | E | ADA |
MATSUURA [ | 2009 | 日本 | 101 | 65.5 | 80(79.2) | 101(100.0) | 100.0① | D | — |
GÖKSEDEF [ | 2010 | 土耳其 | 150 | 61.7 | 106(70.7) | 53(35.3) | 100.0① | E | ADA |
SATO [ | 2010 | 加拿大 | 130 | 66.9 | 91(70.0) | 130(100.0) | 60.0①;18.5②;21.5③ | D | IEC |
TEKUMIT [ | 2010 | 土耳其 | 166 | 60.8 | 104(62.7) | 54(32.5) | 100① | C | — |
KNAPIK [ | 2011 | 波兰 | 735 | 64.7 | 487(66.3) | 735(100.0) | 100① | E | ADA |
TSURUTA [ | 2011 | 日本 | 306 | 59.8 | 242(79.1) | 306(100.0) | 100① | D/F | UKPDSG |
GUMUS [ | 2013 | 土耳其 | 510 | 60.6 | 382(74.9) | 205(40.2) | 96.3①;3.7③ | C | — |
STRAHAN [ | 2013 | 澳大利亚 | 712 | — | — | 712(100.0) | 100.0① | E | — |
BISKUPSKI [ | 2014 | 波兰 | 350 | 65.6 | 239(68.3) | 350(100.0) | 76.3①;5.4②;18.3③ | E/G | — |
ENGOREN [ | 2014 | 美国 | 880 | 64.7 | 640(72.7) | 415(47.2) | 100.0① | C/E | — |
FARITOUS [ | 2014 | 伊朗 | 216 | 64.0 | 138(63.9) | 76(35.2) | 100.0① | E | — |
SUBRAMANIAM [ | 2014 | 美国 | 1 461 | 68.0 | 1 093(74.8) | 562(38.5) | 74.1①;25.9② | D | — |
NYSTRÖM [ | 2015 | 瑞典 | 764 | 57.0 | 425(55.6) | 764(100.0) | 100.0① | E/G/H/I | — |
SANTOS [ | 2015 | 阿根廷 | 96 | 63.6 | 79(82.3) | 96(100.0) | 100.0① | E | ADA |
韩斐[ | 2016 | 中国 | 175 | 62.2 | 113(64.6) | 175(100.0) | 100.0① | E/G | IEC、ADA |
KUHL [ | 2016 | 瑞典 | 6 313 | 68.4 | 4 834(76.6) | 6 313(100.0) | 100.0① | E/G/H/I | — |
SURER [ | 2016 | 土耳其 | 72 | 63.2 | 40(55.6) | 72(100.0) | 100.0① | B/G | — |
BARDIA [ | 2017 | 美国 | 763 | 67.0 | 418(54.8) | 145(19.0) | 100.0① | D | — |
FINGER [ | 2017 | 美国 | 531 | 62.6 | 385(72.5) | 182(34.3) | 50.6①;22.8②;9.8③;16.8④ | E | ADA |
KOCOGULLARI [ | 2017 | 土耳其 | 202 | 61.6 | 162(80.2) | 0(0) | 100.0① | B | — |
NARAYAN [ | 2017 | 印度 | 4 678 | 58.8 | 4 254(90.9) | 3 045(65.1) | 100.0① | D | — |
AYDINLI [ | 2019 | 土耳其 | 354 | 60.8 | 223(63.0) | 354(100.0) | 100.0① | E | — |
NICOLINI [ | 2018 | 意大利 | 2 606 | 67.5 | 2 241(86.0) | 942(36.1) | 100.0① | E/H | — |
RAMADAN [ | 2018 | 埃及 | 80 | 57.4 | 61(76.3) | 80(100.0) | 100.0① | E | ADA |
王前伟[ | 2019 | 中国 | 304 | 62.3 | 220(72.4) | 0(0) | 100.0① | C | CDS |
张忠义[ | 2019 | 中国 | 122 | 54.5 | 70(57.4) | 122(100.0) | 100.0① | D | ADA |
ALMOGATI [ | 2019 | 沙特 | 305 | 59.1 | 250(82.0) | 249(81.6) | 100.0① | E | ADA |
KHAN [ | 2019 | 美国 | 1 133 | 65.0 | 780(68.8) | 545(48.1) | 100.0① | E | — |
ROBICH [ | 2019 | 美国 | 6 415 | 65.6 | 4 965(77.4) | 2 674(41.7) | 100.0① | B/D/G | ADA |
石宇[ | 2020 | 中国 | 180 | 64.1 | 114(63.3) | — | 100.0① | D | — |
KIM [ | 2020 | 韩国 | 703 | 65.8 | 499(71.0) | 703(100.0) | 100.0① | E | ADA |
SHOGHLI [ | 2020 | 伊朗 | 224 | 59.1 | 71(31.7) | 224(100.0) | 100.0② | E | ADA |
钟艳[ | 2021 | 中国 | 395 | 61.7 | 303(76.7) | 166(42.0) | 100.0① | G | — |
序号 | 纳入文献第一作者 | 样本选择 | 可比性 | 结果可靠性 | 总分 | 等级 | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
① | ② | ③ | ④ | ⑤ | ⑥ | ⑦ | ⑧ | ||||
1 | ALSERIUS[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
2 | HALKOS[ | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Ⅰ级 |
3 | MATSUURA[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
4 | GÖKSEDEF[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
5 | SATO [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
6 | TEKUMIT [ | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 1 | 8 | Ⅰ级 |
7 | KNAPIK[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
8 | TSURUTA[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Ⅰ级 |
9 | GUMUS[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
10 | STRAHAN[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
11 | BISKUPSKI [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
12 | ENGOREN[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
13 | FARITOUS [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
14 | SUBRAMANIAM [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
15 | NYSTRÖM[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
16 | SANTOS[ | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
17 | 韩斐[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
18 | KUHL[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
19 | SURER[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
20 | BARDIA [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 | Ⅰ级 |
21 | FINGER [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
22 | KOCOGULLARI[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
23 | NARAYAN[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
24 | AYDINLI[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
25 | NICOLINI[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
26 | RAMADAN[ | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
27 | 王前伟[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
28 | 张忠义[ | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 8 | Ⅰ级 |
29 | ALMOGATI[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
30 | KHAN [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
31 | ROBICH[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
32 | 石宇[ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 6 | Ⅱ级 |
33 | KIM[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
34 | SHOGHLI [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
35 | 钟艳[ | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 8 | Ⅰ级 |
Table 2 Results of risk of bias assessment for included cohort studies
序号 | 纳入文献第一作者 | 样本选择 | 可比性 | 结果可靠性 | 总分 | 等级 | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
① | ② | ③ | ④ | ⑤ | ⑥ | ⑦ | ⑧ | ||||
1 | ALSERIUS[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
2 | HALKOS[ | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Ⅰ级 |
3 | MATSUURA[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
4 | GÖKSEDEF[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
5 | SATO [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
6 | TEKUMIT [ | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 1 | 8 | Ⅰ级 |
7 | KNAPIK[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
8 | TSURUTA[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 7 | Ⅰ级 |
9 | GUMUS[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
10 | STRAHAN[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
11 | BISKUPSKI [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
12 | ENGOREN[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
13 | FARITOUS [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
14 | SUBRAMANIAM [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
15 | NYSTRÖM[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
16 | SANTOS[ | 1 | 0 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
17 | 韩斐[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
18 | KUHL[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
19 | SURER[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
20 | BARDIA [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 | Ⅰ级 |
21 | FINGER [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
22 | KOCOGULLARI[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
23 | NARAYAN[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
24 | AYDINLI[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
25 | NICOLINI[ | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 7 | Ⅰ级 |
26 | RAMADAN[ | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
27 | 王前伟[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 | Ⅰ级 |
28 | 张忠义[ | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 8 | Ⅰ级 |
29 | ALMOGATI[ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
30 | KHAN [ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
31 | ROBICH[ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 7 | Ⅰ级 |
32 | 石宇[ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 6 | Ⅱ级 |
33 | KIM[ | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 | Ⅰ级 |
34 | SHOGHLI [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 6 | Ⅱ级 |
35 | 钟艳[ | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 8 | Ⅰ级 |
Figure 2 Forest plot of the association of preoperative glycosylated hemoglobin with early postoperative mortality in adults undergoing cardiac surgery
Figure 3 Forest plot of the association of preoperative glycosylated hemoglobin with postoperative sternal wound infection in adults undergoing cardiac surgery
Figure 4 Forest plot of the association of preoperative glycosylated hemoglobin with adverse cerebrovascular events in adults undergoing cardiac surgery
Figure 6 Forest plot of the association of preoperative glycosylated hemoglobin with postoperative myocardial infarction in adults undergoing cardiac surgery
Figure 8 Funnel plot assessing the publication bias of included studies about the association of preoperative glycosylated hemoglobin undergoing early postoperative mortality in adult cardiac surgery
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