| Literature DB >> 32104708 |
Ye Liu1, Li-Li Li1, Lei Xu1, Dong-Dong Feng1, Yu Cao1, Xiao-Yun Mao1, Jin Zheng2, Feng Jin1, Bo Chen1.
Abstract
OBJECTIVES: This meta-analysis was conducted to compare the complication rates between arm and chest ports in patients with breast cancer. Design and Data Sources. PubMed, Embase, Cochrane library, Chinese National Knowledge Infrastructure (CNKI), and Wanfang database were used to perform a systematic review and meta-analysis of publications published from the inception of the database to 11, October 2019. Our search generated a total of 22 articles published from 2011 to 2019, including 6 comparative studies and 16 single-arm articles, involving 4131 cases and 5272 controls. Single-arm studies combined with comparative studies were also pooled and analyzed. Finally, subgroup analysis was performed to compare the rates of infection and thrombosis between these two ports. Eligibility Criteria. Included articles were research studies comparing complication rates of arm ports with chest ports in patients with breast cancer. Any review or meta-analysis article would be removed. Data Extraction and Synthesis. Demographic data and information for the following analysis were extracted. DerSimonian and Laird random effect meta-analysis was conducted to analyze comparative studies while Begg's and Egger's tests were used for assessment of publication bias. Meta-regression analysis was performed to explain the sources of heterogeneity.Entities:
Mesh:
Year: 2020 PMID: 32104708 PMCID: PMC7040392 DOI: 10.1155/2020/9082924
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Flow diagram of the study selection for this meta-analysis.
The main features of included studies for meta-analysis.
| Study | Year | Country | Age | Sex | Case (arm) | Control (chest) | Mean duration (days) | Catheter size | Quality of studies | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
| Arm | Chest | |||||||
| Marcy | 2005 | France | 55.7 | F | 100 | 10 | 100 | 16 | 168 | 228 | 7F | Good |
| Peynircioglu | 2007 | Turkey | 48.3 | F | 1 | 0 | 15 | 1 | NA | 462 | 5.8F1/6.8F2 | Fair |
| Dong | 2016 | China | NA | F | 810 | 45 | 995 | 52 | NA | NA | NA | Good |
| Tippit | 2018 | USA | 55 | F | 147 | 14 | 150 | 4 | 669.4 | 512.3 | 5.5F | Good |
| Yang | 2018 | Korea | 51.6 | F | 176 | 16 | 55 | 9 | 175.2 | 202.4 | 5F1/8F2 | Good |
| Wang | 2019 | China | 52.3 | F | 95 | 7 | 76 | 6 | 176 | 109 | 4.8F1/6.6F2 | Good |
| Xu | 2017 | China | 50.6 | F | 25 | 0 | 56 | NA | Fair | |||
| Decousus | 2018 | France | 63 | NA | 2664 | 275 | NA | NA | Fair | |||
| Awan | 2019 | Canada | NA | NA | 73 | 4 | NA | NA | Good | |||
| Pardo | 2011 | USA | 52 | NA | 45 | 6 | NA | NA | Fair | |||
| Teichgraber | 2013 | Germany | NA | NA | 121 | 12 | 223 | NA | Fair | |||
| Piran | 2014 | Canada | 58.0 | F/M | 183 | 7 | 360 | 6–8F | Fair | |||
| Song | 2015 | Korea | 51.4 | F | 191 | 15 | 368 | 8F | Good | |||
| Liu | 2017 | China | 48.7 | F | 755 | 225 | 147.3 | 7-8F | Good | |||
| Mao | 2017 | China | 46.0 | F | 158 | 10 | 245.2 | 7-8F | Good | |||
| Mo | 2017 | China | NA | F/M | 658 | 12 | NA | 7-8F | Fair | |||
| LeVasseur | 2018 | Canada | 55 | NA | 62 | 11 | NA | NA | Fair | |||
| Song | 2018 | Korea | 51.5 | F | 209 | 14 | 334.6 | 6.5–8F | Good | |||
| Makary | 2018 | USA | 53.1 | F | 396 | 16 | NA | 8F | Fair | |||
| Erhancil | 2019 | Turkey | 54 | F | 68 | 4 | 969.8 | NA | Good | |||
| Isom | 2019 | USA | 52.9 | F | 581 | 36 | NA | NA | Fair | |||
| Zhang | 2019 | China | 52 | NA | 110 | 11 | NA | NA | Fair | |||
Note. N: the number of total participants; m: the number of all patients who suffered from complications; meant the age was median while others were mean; 1: catheter size for arm port; 2: catheter size for chest port; NA: not accessible.
Figure 2Forest plot of comparative studies' meta-analysis for the association between arm or chest ports and the risk of complication incidence. Each study was shown by a square with its 95% confidence interval shown by the error bars.
Figure 3The Begg's funnel plot to assess the publication bias for comparative studies.
Figure 4Forest plot of the pooled absolute risk and its 95% CI for arm ports.
Figure 5Forest plot of the pooled absolute risk and its 95% CI for chest ports.
The subgroup analysis for the selected studies.
| Subgroups | No. of studies | AR [95%CI] | RR [95%CI] | RD [95%CI] |
|
|---|---|---|---|---|---|
| Infection | |||||
| Comparative | 4 | 0.58[0.32–1.055] | 0.074 | ||
| Arm | 5 | 0.027[0.003–0.051] | 1.63[0.97–2.75] | 0.02[−0.008–0.049] | 0.064 |
| Chest | 13 | 0.007[0.002–0.011] | |||
| Thrombosis | |||||
| Comparative | 4 | 2.23[1.04–4.79] | 0.041 | ||
| Arm | 6 | 0.045[−0.002–0.093] | 1.21[1.02–1.43] | 0.003[−0.059–0.065] | 0.029 |
| Chest | 13 | 0.042[0.028–0.057] | |||
AR: absolute risk; RR: risk ratio; RD: risk difference.