Sentence examples for distinct patient subgroups from inspiring English sources

Identification of biomarkers could allow patient stratification and enable the selection of pathophysiologically distinct patient subgroups to allow optimized treatment choices based on biology.

Limited information exists regarding the relative effectiveness of the therapies (e.g., yoga vs. tai chi vs. acupuncture), as well as treatment effects in persons with joint involvement besides the knee and in distinct patient subgroups (e.g., older vs. younger adults, persons with mild vs. moderate vs. advanced disease).

The clinical hallmark of neuroblastoma is its heterogeneity, with the likelihood of cure varying widely between distinct patient subgroups [ 2, 3].

It is tempting to speculate that distinct patient subgroups exist on the basis of granulocyte subsets alone and that they will have differential responses to rituximab and cyclophosphamide.

Judging from our results, additional testing of reporting methods to generate more accurate comorbidity data will be required for distinct patient subgroups.

Educational and preventive strategies on oral health should be integrated into other care provided for addicts, taking into account distinct patient subgroups.

DDC mRNA expression analysis was then conducted for each subgroup, and DDC transcription levels were compared among distinct patients' subgroups using the non-parametric Mann-Whitney U or Kruskal-Wallis test, as described in the "Methods" section.

ACPA tests based upon citrullinated autoantigenic proteins may provide information on ACPA fine-specificities [ 35, 36] and may aid the differentiation between clinically distinct RA patient subgroups, although so far no correlations between ACPA fine-specificities and clinical phenotypes have been found [ 37- 39].

The study demonstrates the existence of five distinct gastric cancer patient subgroups, defined by the signature genomic alterations FGFR2 (9% of tumours), KRAS (9%), EGFR (8%), ERBB2 (7%) and MET (4%).

A tree-growing technique, based on the RECursive Partitioning and AMalgamation (RECPAM) algorithm, 26 was used to investigate possible interactions among demographic and clinical variables in order to identify distinct and homogeneous patient subgroups in terms of EI.

To avoid double counting of patients, we used linked individual data where possible; where this was not possible, we constructed distinct, non-overlapping CHD patient subgroups (see technical appendix).