Evidence map›Paper›PMID 35925012›Full record

ArticleJournal of applied clinical medical physics2022

Application of reference air kerma alert levels for pediatric fluoroscopic examinations.

Elanchezhian Somasundaram, Samuel L Brady, Keith J Strauss

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Implementing Patient Protection Radiation Dose Alerts for Pediatric Cardiac Catheterization Examinations.Journal of the Society for Cardiovascular Angiography & Interventions · 2024
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Elanchezhian SomasundaramDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Samuel L BradyDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Keith J StraussDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to provide an empirical model to develop reference air kerma (RAK) alert levels as a function of patient thickness or age for pediatric fluoroscopy for any institution to use in a Quality Assurance program. RAK and patient thickness were collected for 10&663 general fluoroscopic examinations and 1500 fluoroscopically guided interventions (FGIs). RAK and patient age were collected for 6137 fluoroscopic examinations with mobile-C-arms (MC). Coefficients of linear regression fits of logarithmic RAK as a function of patient thickness or age were generated for each fluoroscopy group. Regression fits of RAK for 50%, 90%, and 98% upper prediction levels were used as inputs to derive an empirical formula to estimate alert levels as a function of patient thickness. A methodology is presented to scale results from this study for any patient thickness or age for any institution, for example, the patient thickness dependent RAK alert level at the top 1% of expected RAK can be set using the 98% upper prediction interval boundary given by:

Indexed as

Radiography, InterventionalRecordsChildFluoroscopyHumansRadiation Dosagealert levelsdiagnostic reference levelsentrance skin dosefluoroscopypediatricradiation dosereference air kerma

Identifiers

PMID35925012
PMCPMC9512353
OpenAlexW4289780894

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.