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Image Search Results


Sensitivity analysis of PALS and NOAF as categorical (A) and continuous variables (B) , respectively; sensitivity analysis of PACS and NOAF as a continuous variable (C) ; sensitivity analysis of LASr and NOAF as categorical (D) and continuous variables (E) , respectively; sensitivity analysis of LASct and NOAF as a continuous variable (F) ; sensitivity analysis of LAScd and NOAF as a continuous variable (G) .

Journal: Frontiers in Cardiovascular Medicine

Article Title: Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis

doi: 10.3389/fcvm.2026.1745597

Figure Lengend Snippet: Sensitivity analysis of PALS and NOAF as categorical (A) and continuous variables (B) , respectively; sensitivity analysis of PACS and NOAF as a continuous variable (C) ; sensitivity analysis of LASr and NOAF as categorical (D) and continuous variables (E) , respectively; sensitivity analysis of LASct and NOAF as a continuous variable (F) ; sensitivity analysis of LAScd and NOAF as a continuous variable (G) .

Article Snippet: Lohrmann , 2020 , United States , Retrospective cohort study , 91 , 58.00 ± 9.00 , 58.24 , 100 , 40.66 , 5.49 , 1.10 , LASr, LASct , NA , ECG , 2D-STE , TomTec.

Techniques:

Summary receiver operating characteristic (sROC) curves for PALS (A) , LASr (B) , and LASct (C) in predicting NOAF.

Journal: Frontiers in Cardiovascular Medicine

Article Title: Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis

doi: 10.3389/fcvm.2026.1745597

Figure Lengend Snippet: Summary receiver operating characteristic (sROC) curves for PALS (A) , LASr (B) , and LASct (C) in predicting NOAF.

Article Snippet: Lohrmann , 2020 , United States , Retrospective cohort study , 91 , 58.00 ± 9.00 , 58.24 , 100 , 40.66 , 5.49 , 1.10 , LASr, LASct , NA , ECG , 2D-STE , TomTec.

Techniques:

Fagan nomograms illustrating the clinical utility of PALS (A) , LASr (B) , and LASct (C) for predicting NOAF.

Journal: Frontiers in Cardiovascular Medicine

Article Title: Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis

doi: 10.3389/fcvm.2026.1745597

Figure Lengend Snippet: Fagan nomograms illustrating the clinical utility of PALS (A) , LASr (B) , and LASct (C) for predicting NOAF.

Article Snippet: Lohrmann , 2020 , United States , Retrospective cohort study , 91 , 58.00 ± 9.00 , 58.24 , 100 , 40.66 , 5.49 , 1.10 , LASr, LASct , NA , ECG , 2D-STE , TomTec.

Techniques:

Funnel plots for publication bias assessment of PALS (A) , LASr (B) , and LASct (C).

Journal: Frontiers in Cardiovascular Medicine

Article Title: Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis

doi: 10.3389/fcvm.2026.1745597

Figure Lengend Snippet: Funnel plots for publication bias assessment of PALS (A) , LASr (B) , and LASct (C).

Article Snippet: Lohrmann , 2020 , United States , Retrospective cohort study , 91 , 58.00 ± 9.00 , 58.24 , 100 , 40.66 , 5.49 , 1.10 , LASr, LASct , NA , ECG , 2D-STE , TomTec.

Techniques:

Competitions of AUS 531 and the derived non-exoprotease producers 24.7 and 34.7. The initial percentage of the non-exoprotease producers at the beginning of the experiments and after 24 h are shown, for comparison of the competence between PAO1, and its isogenic lasR mutant is shown. Competitions were performed in triplicate, and the average of the initial and 24 h percentages of non-exoprotease producers ± SEM are shown. Asterisk indicates significant differences ( P ˂ 0.05 in a two-tailed t -test).

Journal: FEMS Microbiology Ecology

Article Title: Challenging the paradigm: non-canonical exoprotease cheating in clinical Pseudomonas aeruginosa isolates

doi: 10.1093/femsec/fiaf106

Figure Lengend Snippet: Competitions of AUS 531 and the derived non-exoprotease producers 24.7 and 34.7. The initial percentage of the non-exoprotease producers at the beginning of the experiments and after 24 h are shown, for comparison of the competence between PAO1, and its isogenic lasR mutant is shown. Competitions were performed in triplicate, and the average of the initial and 24 h percentages of non-exoprotease producers ± SEM are shown. Asterisk indicates significant differences ( P ˂ 0.05 in a two-tailed t -test).

Article Snippet: Under this model, continuous growth with protein as sole carbon source selects for lasR mutants that cease exoprotease production, exploiting cooperators and often triggering population collapses—a phenomenon framed as a microbial “tragedy of the commons” (Sandoz et al. , Dandekar et al. , Loarca et al. ).

Techniques: Derivative Assay, Comparison, Mutagenesis, Two Tailed Test

Competitions of AUS 531 and the non-exoprotease producer 34.7 and the isogenic AUS 531 lasR mutant in (a) casamino acids and (b) casein. The initial percentage of the 3 strains at the beginning of the experiments and after 24 h are shown. Competitions were performed in triplicate and the average of initial and 24 h percentages ± SEM are shown. Asterisk indicates significant differences ( P ˂ 0.05 in a two-tailed t -test).

Journal: FEMS Microbiology Ecology

Article Title: Challenging the paradigm: non-canonical exoprotease cheating in clinical Pseudomonas aeruginosa isolates

doi: 10.1093/femsec/fiaf106

Figure Lengend Snippet: Competitions of AUS 531 and the non-exoprotease producer 34.7 and the isogenic AUS 531 lasR mutant in (a) casamino acids and (b) casein. The initial percentage of the 3 strains at the beginning of the experiments and after 24 h are shown. Competitions were performed in triplicate and the average of initial and 24 h percentages ± SEM are shown. Asterisk indicates significant differences ( P ˂ 0.05 in a two-tailed t -test).

Article Snippet: Under this model, continuous growth with protein as sole carbon source selects for lasR mutants that cease exoprotease production, exploiting cooperators and often triggering population collapses—a phenomenon framed as a microbial “tragedy of the commons” (Sandoz et al. , Dandekar et al. , Loarca et al. ).

Techniques: Mutagenesis, Two Tailed Test