Using rsens for sensitivity analysis after PSM

Hi everyone,

Just looking for some help carrying out a sensitivity analysis after psm.
After carrying out my PSM using nearest neighbour matching I get a t value of -1.81 which means my result is statistically significant at the 5% level (given there is 52 Degrees of freedom)
However when I use rsens to carry out a sensitivity analysis I get values like:

Gamma | significance levels |
-------+-----------------------------------+
1 | [ .9868692579, .9868692579 ] |
1.1 | [ .9779085365, .9926021731 ] |
1.2 | [ .9659742359, .9958358426 ] |
1.3 | [ .9510447926, .9976570911 ] |
1.4 | [ .9332469301, .9986819972 ] |
1.5 | [ .9128153367, .9992585284 ] |
1.6 | [ .890054613, .9995827994 ] |
1.7 | [ .8653074477, .9997651963 ] |
1.8 | [ .8389293322, .9998678109 ] |
1.9 | [ .8112704639, .9999255557 ] |
2 | [ .7826634627, .9999580607 ] |


Could this be because of the negative t value? Any help/guidance would be much appreciated.