1.

Reduced Circumferential Resection Margin Involvement in Rectal Cancer Surgery: Results of the Dutch Surgical Colorectal Audit

2.

Reduced Circumferential Resection Margin Involvement in Rectal Cancer Surgery: Results of the Dutch Surgical Colorectal Audit

3.

Reduced Circumferential Resection Margin Involvement in Rectal Cancer Surgery: Results of the Dutch Surgical Colorectal Audit

4.

Reduced Circumferential Resection Margin Involvement in Rectal Cancer Surgery: Results of the Dutch Surgical Colorectal Audit

1.

Weekend Effect in Emergency Colon and Rectal Cancer Surgery: A Prospective Study Using Data From the Dutch ColoRectal Audit

2.

Weekend Effect in Emergency Colon and Rectal Cancer Surgery: A Prospective Study Using Data From the Dutch ColoRectal Audit

3.

Weekend Effect in Emergency Colon and Rectal Cancer Surgery: A Prospective Study Using Data From the Dutch ColoRectal Audit

4.

Weekend Effect in Emergency Colon and Rectal Cancer Surgery: A Prospective Study Using Data From the Dutch ColoRectal Audit

1.

Do Outcomes in Elective Colon and Rectal Cancer Surgery Differ by Weekday? An Observational Study Using Data From the Dutch ColoRectal Audit

2.

Do Outcomes in Elective Colon and Rectal Cancer Surgery Differ by Weekday? An Observational Study Using Data From the Dutch ColoRectal Audit

3.

Do Outcomes in Elective Colon and Rectal Cancer Surgery Differ by Weekday? An Observational Study Using Data From the Dutch ColoRectal Audit

4.

Do Outcomes in Elective Colon and Rectal Cancer Surgery Differ by Weekday? An Observational Study Using Data From the Dutch ColoRectal Audit

1.

Association of sweetened beverages consumption with all-cause mortality risk among Dutch adults : the Lifelines Cohort Study (the SWEET project)

2.

Association of sweetened beverages consumption with all-cause mortality risk among Dutch adults : the Lifelines Cohort Study (the SWEET project)

3.

Association of sweetened beverages consumption with all-cause mortality risk among Dutch adults : the Lifelines Cohort Study (the SWEET project)

4.

Association of sweetened beverages consumption with all-cause mortality risk among Dutch adults : the Lifelines Cohort Study (the SWEET project)

1.

AB1342 TRANSLATION AND ADJUSTING THE PATIENT GUIDE FOR OSTEOARTHRITIS INTO DUTCH. LESSONS LEARNED FROM THE JIGSAW-E PROJECT

2.

AB1342 TRANSLATION AND ADJUSTING THE PATIENT GUIDE FOR OSTEOARTHRITIS INTO DUTCH. LESSONS LEARNED FROM THE JIGSAW-E PROJECT

3.

AB1342 TRANSLATION AND ADJUSTING THE PATIENT GUIDE FOR OSTEOARTHRITIS INTO DUTCH. LESSONS LEARNED FROM THE JIGSAW-E PROJECT

4.

AB1342 TRANSLATION AND ADJUSTING THE PATIENT GUIDE FOR OSTEOARTHRITIS INTO DUTCH. LESSONS LEARNED FROM THE JIGSAW-E PROJECT

1.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

2.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

3.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

4.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

5.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

6.

Seasonality in clinical onset of Type 1 diabetes in Belgian patients above the age of 10 is restricted to HLA-DQ2/DQ8-negative males, which explains the male to female excess in in...

1.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

2.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

3.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

4.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

5.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

6.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

7.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

8.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

9.

Costeffectiveness of screening for active cases of tuberculosis in Flanders, Belgium

1.

Intestinal antibody responses to 2 novel live attenuated type 2 oral poliovirus vaccines in healthy adults in Belgium

2.

Intestinal antibody responses to 2 novel live attenuated type 2 oral poliovirus vaccines in healthy adults in Belgium

3.

Intestinal antibody responses to 2 novel live attenuated type 2 oral poliovirus vaccines in healthy adults in Belgium

4.

Intestinal antibody responses to 2 novel live attenuated type 2 oral poliovirus vaccines in healthy adults in Belgium

1.

The EPIBEL study: Outcomes to discharge from hospital for extremely preterm infants in Belgium

2.

The EPIBEL study: Outcomes to discharge from hospital for extremely preterm infants in Belgium

3.

The EPIBEL study: Outcomes to discharge from hospital for extremely preterm infants in Belgium

4.

The EPIBEL study: Outcomes to discharge from hospital for extremely preterm infants in Belgium

1.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

2.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

3.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

4.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

5.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

6.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

7.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

8.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

9.

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?