Evidence map›Paper›PMID 25518012›Full record

ArticlePediatric research2015

Development of a pediatric-specific clinical probability tool for diagnosis of venous thromboembolism: a feasibility study.

Bryce A Kerlin, Julie A Stephens, Mark J Hogan, William E Smoyer, Sarah H O'Brien

Abstract read
In one paragraph

Article in Pediatric research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Pediatric thromboembolism: a national survey in Japan.International journal of hematology · 2017
    Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bryce A Kerlin1] Center for Clinical and Translational Research, The Research Institute at Nationwide Children's, Columbus, Ohio [2] Division of Hem/Onc/BMT, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio.
Julie A StephensCenter for Biostatistics, The Ohio State University, Columbus, Ohio.
Mark J HoganDepartment of Radiology, The Ohio State University College of Medicine, Columbus, Ohio.
William E Smoyer1] Center for Clinical and Translational Research, The Research Institute at Nationwide Children's, Columbus, Ohio [2] Division of Nephrology, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio.
Sarah H O'Brien1] Division of Hem/Onc/BMT, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio [2] Center for Innovation in Pediatric Practice, The Research Institute at Nationwide Children's, Columbus, Ohio.

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
The Ohio State University Center for Clinical and Translational Science (UL1)UL1TR000090 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2012 to 2013
$7.9M
NCATS NIH HHS UL1 TR000090NCATS NIH HHS UL1TR000090NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1TR001070
6 · The paper itself

Abstract

backgroundPediatric venous thromboembolism (VTE) is an increasingly common, difficult to diagnose problem. Clinical probability tools (CPT) for adults estimate VTE likelihood, but are not available for children. We hypothesized that a pediatric-specific CPT is feasible.

methodsRadiology reports were utilized to identify children imaged for suspected VTE. Relevant signs, symptoms, and comorbidity variables, identified from published literature, were extracted from corresponding medical records. Variables associated with pediatric VTE were incorporated into a multivariate logistic regression to create a pilot CPT which was confirmed on a separate cohort.

resultsA total of 389 subjects meeting inclusion criteria were identified: 91 with VTE and 298 without. Univariate analysis revealed male gender (odds ratio (OR) = 2.96; P < 0.001), asymmetric extremity (OR = 1.76; P = 0.033), central venous catheter utilization and/or dysfunction (OR = 2.51; P < 0.001), and cancer (OR = 2.35; P = 0.014) as VTE predictive variables. Documentation of an alternate diagnosis was inversely related to VTE (OR = 0.42; P = 0.004). Receiver operating characteristic analysis of the derived CPT demonstrated reasonable ability to discriminate VTE probability in the training cohort (area under the curve (AUC) = 0.73; P < 0.001) and moderate discrimination in a separate validation cohort of 149 children (AUC = 0.64; P = 0.011).

conclusionA pediatric-specific VTE CPT is feasible, would facilitate early diagnosis, and could lead to improved outcomes.

Indexed as

Diagnostic Techniques, CardiovascularArea Under CurveCatheterizationChildExtremitiesFeasibility StudiesHumansLogistic ModelsMaleMultivariate AnalysisNeoplasmsOdds RatioPredictive Value of TestsRadiographyROC CurveSex Factors

Identifiers

PMID25518012
PMCPMC4346381

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Registered trials

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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.