Evidence map›Paper›PMID 25401054›Full record

ArticlePeerJ2014

Approaches to describing inter-rater reliability of the overall clinical appearance of febrile infants and toddlers in the emergency department.

Paul Walsh, Justin Thornton, Julie Asato, Nicholas Walker, Gary McCoy, Joe Baal, Jed Baal, Nanse Mendoza, Faried Banimahd

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Validation of a tool for determining the clinical utility of stillbirth investigations.The Australian & New Zealand journal of obstetrics & gynaecology · 2023
    Article
  5. Article
  6. Article
  7. Reliability of estimating left ventricular ejection fraction in clinical routine: a validation study of the SWEDEHEART registry.Clinical research in cardiology : official journal of the German Cardiac Society · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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 3 institutions in 1 country.

Paul WalshDepartment of Emergency Medicine, University of California Davis Medical Center , Sacramento, CA , USA.
Justin ThorntonDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Julie AsatoDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Nicholas WalkerDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Gary McCoyDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Joe BaalDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Jed BaalDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Nanse MendozaDepartment of Emergency Medicine, Kern Medical Center , Bakersfield, CA , USA.
Faried BanimahdDepartment of Emergency Medicine, University of California Irvine , Orange, CA , USA.
Kern Medical Center · USUniversity of California Davis Medical Center · USUniversity of California, Irvine · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
DANGER: Developing the Next Generation of Emergency Medicine ResearchersK12HL108964 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F., KUPPERMANN, NATHAN · 2011 to 2015
$3.1M
NCATS NIH HHS UL1 TR000002NHLBI NIH HHS K12 HL108964
6 · The paper itself

Abstract

Objectives. To measure inter-rater agreement of overall clinical appearance of febrile children aged less than 24 months and to compare methods for doing so. Study Design and Setting. We performed an observational study of inter-rater reliability of the assessment of febrile children in a county hospital emergency department serving a mixed urban and rural population. Two emergency medicine healthcare providers independently evaluated the overall clinical appearance of children less than 24 months of age who had presented for fever. They recorded the initial 'gestalt' assessment of whether or not the child was ill appearing or if they were unsure. They then repeated this assessment after examining the child. Each rater was blinded to the other's assessment. Our primary analysis was graphical. We also calculated Cohen's κ, Gwet's agreement coefficient and other measures of agreement and weighted variants of these. We examined the effect of time between exams and patient and provider characteristics on inter-rater agreement. Results. We analyzed 159 of the 173 patients enrolled. Median age was 9.5 months (lower and upper quartiles 4.9-14.6), 99/159 (62%) were boys and 22/159 (14%) were admitted. Overall 118/159 (74%) and 119/159 (75%) were classified as well appearing on initial 'gestalt' impression by both examiners. Summary statistics varied from 0.223 for weighted κ to 0.635 for Gwet's AC2. Inter rater agreement was affected by the time interval between the evaluations and the age of the child but not by the experience levels of the rater pairs. Classifications of 'not ill appearing' were more reliable than others. Conclusion. The inter-rater reliability of emergency providers' assessment of overall clinical appearance was adequate when described graphically and by Gwet's AC. Different summary statistics yield different results for the same dataset.

Indexed as

Clinical appearanceCohen’s kappaEmergency medicineFeverGraphical analysisGwet’s ACInter-rater agreementPediatric

Identifiers

PMID25401054
PMCPMC4230550
OpenAlexW2019688543

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.