Automated Author Profile

Blok, Guus

Current S-Index

1.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Development and validation of a clinical prediction rule for acute appendicitis in children in primary care

Recognising acute appendicitis in children presenting with acute abdominal pain in primary care is challenging. General practitioners (GPs) may benefit from a clinical prediction rule. To develop and validate a clinical prediction rule for acute appendicitis in children presenting with acute abdominal pain in primary care. In a historical cohort study data was retrieved from GP electronic health records included in the Integrated Primary Care Information database. We assigned children aged 4–18 years presenting with acute abdominal pain (≤ 7 days) to development (2010–2012) and validation (2013–2016) cohorts, using acute appendicitis within six weeks as the outcome. Multiple logistic regression was used to develop a prediction model based on predictors with > 50% data availability derived from existing rules for secondary care. We performed internal and external temporal validation and derived a point score to stratify risk of appendicitis into three groups, i.e. low-risk, medium-risk and high-risk. The development and validation cohorts included 2,041 and 3,650 children, of whom 95 (4.6%) and 195 (5.3%) had acute appendicitis. The model included male sex, pain duration (<24, 24–48, > 48 h), nausea/vomiting, elevated temperature (≥ 37.3 °C), abnormal bowel sounds, right lower quadrant tenderness, and peritoneal irritation. Internal and temporal validation showed good discrimination (C-statistics: 0.93 and 0.90, respectively) and excellent calibration. In the three groups, the risks of acute appendicitis were 0.5%, 7.5%, and 41%, Combined with further testing in the medium-risk group, the prediction rule could improve clinical decision making and outcomes.

Authors

  • Blok, Guus ;
  • Burger, Huib ;
  • van der Lei, Johan ;
  • Berger, Marjolein ;
  • Holtman, Gea
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.23946956January 2023

Development and validation of a clinical prediction rule for acute appendicitis in children in primary care

Recognising acute appendicitis in children presenting with acute abdominal pain in primary care is challenging. General practitioners (GPs) may benefit from a clinical prediction rule. To develop and validate a clinical prediction rule for acute appendicitis in children presenting with acute abdominal pain in primary care. In a historical cohort study data was retrieved from GP electronic health records included in the Integrated Primary Care Information database. We assigned children aged 4–18 years presenting with acute abdominal pain (≤ 7 days) to development (2010–2012) and validation (2013–2016) cohorts, using acute appendicitis within six weeks as the outcome. Multiple logistic regression was used to develop a prediction model based on predictors with > 50% data availability derived from existing rules for secondary care. We performed internal and external temporal validation and derived a point score to stratify risk of appendicitis into three groups, i.e. low-risk, medium-risk and high-risk. The development and validation cohorts included 2,041 and 3,650 children, of whom 95 (4.6%) and 195 (5.3%) had acute appendicitis. The model included male sex, pain duration (<24, 24–48, > 48 h), nausea/vomiting, elevated temperature (≥ 37.3 °C), abnormal bowel sounds, right lower quadrant tenderness, and peritoneal irritation. Internal and temporal validation showed good discrimination (C-statistics: 0.93 and 0.90, respectively) and excellent calibration. In the three groups, the risks of acute appendicitis were 0.5%, 7.5%, and 41%, Combined with further testing in the medium-risk group, the prediction rule could improve clinical decision making and outcomes.

Authors

  • Blok, Guus ;
  • Burger, Huib ;
  • van der Lei, Johan ;
  • Berger, Marjolein ;
  • Holtman, Gea
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.23946956.v1January 2023