Evidence map›Paper›PMID 30361200›Full record

ArticleJMIR medical informatics2018

A Computerized Method for Measuring Computed Tomography Pulmonary Angiography Yield in the Emergency Department: Validation Study.

Safiya Richardson, Philip Solomon, Alexander O'Connell, Sundas Khan, Jonathan Gong, Alex Makhnevich, Guang Qiu, Meng Zhang, Thomas McGinn

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Higher Imaging Yield When Clinical Decision Support Is Used.Journal of the American College of Radiology : JACR · 2020
    Article
  2. Article
  3. THE HIGH COST OF LOW VALUE CARE.Transactions of the American Clinical and Climatological Association · 2019
    Article
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

9 authors at 1 institution in 1 country.

Safiya RichardsonDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-8576-1102
Philip SolomonDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-0669-3894
Alexander O'ConnellDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-5734-8986
Sundas KhanDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0003-1153-6313
Jonathan GongDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0003-3733-7080
Alex MakhnevichDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-7217-8487
Guang QiuDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-3841-7923
Meng ZhangDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-2236-461X
Thomas McGinnDepartment of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0003-1005-227X
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell · US

Funding

Spread the Word: Integrating Clinical Prediction Rules at the Point of CareR24HS022061 · AHRQ · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MCGINN, THOMAS G · 2013 to 2015
$900k
AHRQ HHS R24 HS022061
6 · The paper itself

Abstract

backgroundUse of computed tomography pulmonary angiography (CTPA) in the assessment of pulmonary embolism (PE) has markedly increased over the past two decades. While this technology has improved the accuracy of radiological testing for PE, CTPA also carries the risk of substantial iatrogenic harm. Each CTPA carries a 14% risk of contrast-induced nephropathy and a lifetime malignancy risk that can be as high as 2.76%. The appropriate use of CTPA can be estimated by monitoring the CTPA yield, the percentage of tests positive for PE. This is the first study to propose and validate a computerized method for measuring the CTPA yield in the emergency department (ED).

objectiveThe objective of our study was to assess the validity of a novel computerized method of calculating the CTPA yield in the ED.

methodsThe electronic health record databases at two tertiary care academic hospitals were queried for CTPA orders completed in the ED over 1-month periods. These visits were linked with an inpatient admission with a discharge diagnosis of PE based on the International Classification of Diseases codes. The computerized the CTPA yield was calculated as the number of CTPA orders with an associated inpatient discharge diagnosis of PE divided by the total number of orders for completed CTPA. This computerized method was then validated by 2 independent reviewers performing a manual chart review, which included reading the free-text radiology reports for each CTPA.

resultsA total of 349 CTPA orders were completed during the 1-month periods at the two institutions. Of them, acute PE was diagnosed on CTPA in 28 studies, with a CTPA yield of 7.7%. The computerized method correctly identified 27 of 28 scans positive for PE. The one discordant scan was tied to a patient who was discharged directly from the ED and, as a result, never received an inpatient discharge diagnosis.

conclusionsThis is the first successful validation study of a computerized method for calculating the CTPA yield in the ED. This method for data extraction allows for an accurate determination of the CTPA yield and is more efficient than manual chart review. With this ability, health care systems can monitor the appropriate use of CTPA and the effect of interventions to reduce overuse and decrease preventable iatrogenic harm.

Indexed as

clinical decision support systemselectronic health recordhealth informaticspulmonary embolismquality improvement

Identifiers

PMID30361200
PMCPMC6231863
OpenAlexW2835082446

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.