Sorry for that. The differences are in red. Here it is code and output:
Call:matchit(formula = LES ~ Modalidade.DP.Inicial + Age + BMI + Education.dic.4y +     Davies.Score + DM + Hypertension + Gender + Race + Incomes.dic +     Bienium + time.of.predialysis.care, data = Lupus, method = "nearest",     discard = "both", caliper = 0.2, ratio = 5)
Summary of balance for all data:                                           Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean eQQ Maxdistance                              0.2158        0.0148     0.0485    0.2010  0.1386   0.1956  0.5376Modalidade.DP.Inicial      0.4040        0.4642     0.4988   -0.0602  0.0000   0.0606  1.0000Age                                     43.6899       59.5407    15.7876  -15.8509 18.9000  15.8586 21.6000BMI                                     22.8242       24.7304     4.6462   -1.9062  2.1000   2.1020 12.3000Education.dic.4y                0.5960        0.3456     0.4756    0.2503  0.0000   0.2525  1.0000Davies.Score                     1.3030        0.9258     0.8834    0.3773  0.0000   0.4242  1.0000DM                                     0.0808        0.4501     0.4976   -0.3693  0.0000   0.3737  1.0000Hypertension                    0.7172        0.7606     0.4268   -0.0434  0.0000   0.0404  1.0000Gender                               0.1717        0.4829     0.4998   -0.3112  0.0000   0.3131  1.0000Race                                   1.9192        1.8253     1.1466    0.0939  0.0000   0.1212  2.0000Incomes.dic                      0.6667        0.6629     0.4728    0.0037  0.0000   0.0101  1.0000Bienium                             2.1717        2.0908     0.7741    0.0809  0.0000   0.0808  1.0000time.of.predialysis.care   30.5758       17.1882    29.6989   13.3875 12.0000  12.9596 48.0000

Summary of balance for matched data:                                      Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean eQQ Maxdistance                                   0.1876        0.1851     0.1685    0.0025   0.051   0.0682    0.18Modalidade.DP.Inicial           0.4130        0.4330     0.4962   -0.0199   0.000   0.0000    0.00Age                                          44.8935       45.4722    17.1983   -0.5788   4.000   3.6543    7.90BMI                                         23.0283       22.8350     4.1923    0.1933   0.400   0.4783    5.20Education.dic.4y                   0.5652        0.5328     0.4997    0.0324   0.000   0.0543    1.00Davies.Score                          1.3152        1.3426     1.0048   -0.0274   0.000   0.4457    1.00DM                                          0.0870        0.1000     0.3004   -0.0130   0.000   0.0217    1.00Hypertension                        0.7283        0.6783     0.4678    0.0500   0.000   0.0217    1.00Gender                                   0.1848        0.2103     0.4081   -0.0255   0.000   0.0543    1.00Race                                        1.9348        1.9205     1.1722    0.0143   0.000   0.0652    1.00Incomes.dic                           0.6413        0.6612     0.4740   -0.0199   0.000   0.0217    1.00Bienium                                  2.1413        2.0899     0.7672    0.0514   0.000   0.0543    1.00time.of.predialysis.care       28.0761       28.1089    41.3088   -0.0328   3.000   5.3043   33.00
Percent Balance Improvement:                                          Mean Diff. eQQ Med  eQQ Mean  eQQ Maxdistance                             98.7597 63.1956   65.1547  66.5189Modalidade.DP.Inicial       66.8853  0.0000  100.0000 100.0000Age                                      96.3487 78.8360   76.9567  63.4259BMI                                     89.8604 80.9524   77.2476  57.7236Education.dic.4y               87.0455  0.0000   78.4783   0.0000Davies.Score                      92.7490  0.0000   -5.0466   0.0000DM                                     96.4683  0.0000   94.1833   0.0000Hypertension                 -15.2295  0.0000   46.1957   0.0000Gender                              91.7907  0.0000   82.6438   0.0000Race                                  84.7613  0.0000   46.1957  50.0000Incomes.dic                    -432.3692  0.0000 -115.2174   0.0000Bienium                           36.4268  0.0000   32.7446   0.0000time.of.predialysis.care    99.7551 75.0000   59.0701  31.2500
Sample sizes:                         Control TreatedAll                       5254      99Matched             340      92Unmatched        3111       6Discarded            1803       1
And when running a t-test:

> t.test (Age~LES) #LES is the variable with the control and treated groups.
	Welch Two Sample t-test
data:  Age by LESt = 1.3396, df = 148.617, p-value = 0.1824alternative hypothesis: true difference in means is not equal to 095 percent confidence interval: -1.228034  6.396959sample estimates:mean in group 0 mean in group 1        47.47794        44.89348 # In the Summary of balance for matched data it shows 44.8935 and  45.4722 respectively
Sincerely,
Thyago


> Date: Sat, 28 Dec 2013 13:29:48 +0100
> From: ligges@statistik.tu-dortmund.de
> To: thyagomoraes@hotmail.com; r-help@r-project.org
> Subject: Re: [R] Matchit
> 
> 
> 
> On 27.12.2013 21:17, Thyago Moraes wrote:
> > Dear Friends,
> > I'm using Matchit package for a Cohor Study.
> > After match the number provided by the summary output apparently don't correspond to the true value:
> > Here the values provided by summary:>summary (test) Summary of Balance for Matched Data Age: Means treated 44.89; Means control 45.47
> > However, after applying a test (for instance) I get:
> >> mean in group control: 47.47 and for treated group: 44.89
> > Why the means differ between this 2 functions (summary and t-test)? Am I missing anything about the means generated by the summary command after match?There is no missing data.
> > Thank you in advance for your help and patience.
> 
> Please provide the code and a toy example so that we know what you 
> actually did. Otherwise it is hard to help.
> 
> Best,
> Uwe Ligges
> 
> 
> > Thyago
> >
> >   		 	   		
> > 	[[alternative HTML version deleted]]
> >
> > ______________________________________________
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> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
 		 	   		  
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