ArticlePediatric quality & safety
Accuracy of Various Methods for the Surveillance of Hospital-acquired Venous Thromboembolism in a Children's Hospital.
Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Measurement and Quality Improvement.Pediatric quality & safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Accurate measurement is important in quality improvement. Methods: Single-center retrospective study including children younger than 18 years admitted between 2018 and 2023. We developed 4 automated methods to identify potential HA-VTE cases using (1) ICD-10 codes, (2) vascular extremity ultrasound reports (USG), (3) hematology consult reasons (Heme), and (4) receipt of therapeutic-dosing enoxaparin (Meds). We reviewed charts to determine true HA-VTE, defined as the radiographic presence of a thrombus. Additionally, we reviewed all charts with a vascular extremity ultrasound performed during the study period for true HA-VTE. We computed the accuracy of each method. Results: Across 33,430 admissions, we detected 275 (0.82%) cases by ICD, 508 (1.5%) by USG, 151 (0.45%) by Heme, and 176 (0.53%) by Meds. We manually reviewed 869 charts, of which 180 (0.5%) had confirmed HA-VTE. The false-positive rate was highest for USG (70.7%), followed by ICD (52.4%), Heme (50.9%), and Meds (43.8%). The combined false-positive rate was 59.2%. Sensitivity was highest for USG (82.8%), followed by ICD (72.8%), Heme (41.1%), and Meds (55.0%). Specificity was highest for Meds and Heme (88.8%). Discriminative performance was best for Meds (with an area under the precision-recall curve: 44.3%). Conclusions: Combining multiple methods led to greater identification of HA-VTE without significantly increasing false-positive rates, making it useful for quality improvement surveillance. Detection based on Meds is a more accurate alternative to ICD codes.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.