## 3 Results  
The literature search found 115 papers. The selected words presented a wide range of frequency, from 242 of the term \"pain\" to 16 of the term \"disability\" (Table 1). Considering the diseases, the graph showed the high frequency of the word \"osteoarthritis\" followed by \"fibromyalgiagia\". \"Theumatoid arthritis\" was little represented and mentioned in 19 papers. The words related to the three most mentioned diseases were automatically distributed on the periphery of the graph together with the term \"pain\". In our model, the less represented and connected outcome measure was \"VAS\" (Visual Analogue Scale) (Figure 2). Furthermore, considering the centrality measures, \"pain\" and \"osteoarthritis\", besides presenting the highest frequencies, additionally presented the highest levels of connections. Figure 1: PRISMA flow diagram of selection for review. Figure 2: Results of the lexical analysis based on graph-theory. On the left side, the blue nodes represent the considered words, the black ones represent the papers. On the right side, graphical representation of the modularity class: each colour indicates the words and the papers more strictly connected in comparison with the whole network. Considering the papers containing the terms \"exercise\" and \"rehabilitation\", we first selected 28 studies. After the exclusion of works that did not meet the eligibility criteria, 14 studies were included in the final scoping review (Table 2). \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Word** & **Frequency** & \begin{tabular}{c} **Percentage** \\ **of Papers** \\ \end{tabular} & \begin{tabular}{c} **Closeness** \\ **Centrality** \\ \end{tabular} & \
\begin{tabular}{c} **Betweenness** \\ **Centrality** \\ \end{tabular} &
\begin{tabular}{c} **Modularity** \\ **Class** \\ \end{tabular} \\ \hline
**PAIN** & 242 & 71.304\% & 0.605 & 2882.023 & 0 \\
**OSTEOARTHRITIS** & 203 & 55.652\% & 0.520 & 1973.552 & 0 \\
**SPA THERAPY** & 121 & 24.348\% & 0.409 & 524.651 & 3 \\
**BALNEOTHERAPY** & 120 & 33.043\% & 0.439 & 614.035 & 2 \\
**BATH** & 114 & 39.130\% & 0.459 & 867.504 & 1 \\
**WATER** & 99 & 30.435\% & 0.431 & 309.482 & 4 \\
**FIBROMYALGIA** & 87 & 20.000\% & 0.382 & 268.424 & 2 \\
**WOMAC** & 64 & 27.826\% & 0.421 & 117.673 & 0 \\
**SERUM** & 55 & 15.652\% & 0.388 & 234.543 & 1 \\ MINERAL & 54 & 22.609\% & 0.409 & 138.781 & 4 \\
**THERMAL** & 54 & 20.000\% & 0.399 & 135.333 & 4 \\
**EXERCISE** & 53 & 14.783\% & 0.386 & 170.211 & 3 \\
**JOINT** & 53 & 27.826\% & 0.423 & 414.819 & 0 \\
**QUESTIONNAIRE** & 52 & 31.304\% & 0.434 & 185.071 & 2 \\
**INFLAMMAT * & 42 & 16.522\% & 0.386 & 260.842 & 1 \\
**TENDER** & 41 & 18.261\% & 0.393 & 79.258 & 2 \\
**STIFFNESS** & 37 & 21.739\% & 0.406 & 107.399 & 0 \\
**QUALITY OF LIFE** & 36 & 23.478\% & 0.411 & 90.770 & 0 \\
**RHEUMATOID** & 33 & 16.522\% & 0.382 & 308.579 & 1 \\
**ARTHRITIS** & 32 & 17.391\% & 0.393 & 209.676 & 3 \\
**DRUG** & 31 & 13.913\% & 0.384 & 66.528 & 0 \\
**DEPRESSION** & 25 & 12.174\% & 0.370 & 20.494 & 3 \\
**REHABILITATION** & 25 & 11.304\% & 0.378 & 78.571 & 4 \\
**PHYSICAL** & 22 & 11.304\% & 0.374 & 19.066 & 0 \\
**FUNCTION** & 19 & 6.087\% & 0.353 & 144.595 & 0 \\
**VAS** & 16 & 12.174\% & 0.382 & 31.870 & 2 \\
**DISABILITY** & 15 & 7.826\% & 0.368 & 5.249 & 0 \\ \hline \end{tabular}
\end{table} 
Table 1: The parameters of the considered words calculated by the graph-theory approach. The asterisk indicates the parts of the words with the common root. For example, “INFLAMMAT *” can refer to inflammation or inflammatory.