Evidence map›Paper›PMID 20541247›Full record

ArticleThe Journal of allergy and clinical immunology2010

Algorithm for the diagnosis of anaphylaxis and its validation using population-based data on emergency department visits for anaphylaxis in Florida.

Laurel Harduar-Morano, Michael R Simon, Sharon Watkins, Carina Blackmore

Abstract readValidation Study
In one paragraph

Article in The Journal of allergy and clinical immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Opportunities for penicillin allergy evaluation in dental clinics.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
  6. Observational
  7. Article
  8. Trends in US Emergency Department Visits for Anaphylaxis Among Infants and Toddlers: 2006-2015.The journal of allergy and clinical immunology. In practice · 2021
    Article
  9. Article
  10. Trends in US hospitalizations for anaphylaxis among infants and toddlers: 2006 to 2015.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2021
    Article
  11. Article
  12. Review
  13. How to manage anaphylaxis in primary care.Clinical and translational allergy · 2017
    Review
  14. Article
  15. International consensus on (ICON) anaphylaxis.The World Allergy Organization journal · 2014
    Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors.

Laurel Harduar-MoranoFlorida Department of Health, Division of Environmental Health, Bureau of Environmental Public Health Medicine, Tallahassee, FL, USA.
Michael R Simon
Sharon Watkins
Carina Blackmore

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

backgroundEpidemiologic studies of anaphylaxis have been limited by significant underdiagnosis.

objectiveThe purpose of this study was to develop and validate a method for capturing previously unidentified anaphylaxis cases by using International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) based datasets.

methodsFlorida emergency department data for the years 2005 and 2006 from the Florida Agency for Health Care Administration were used. Patients with anaphylaxis were identified by using ICD-9-CM codes specifically indicating anaphylaxis or an ICD-9-CM algorithm based on the definition of anaphylaxis proposed at the 2005 National Institute of Allergy and Infectious Disease and the Food Allergy and Anaphylaxis Network symposium. Cases ascertained with the algorithm were compared with the traditional case-ascertainment method. Comparisons included demographic and clinical risk factors, proportion of monthly visits, and age/sex-specific rates. Cases ascertained with anaphylaxis ICD-9-CM codes were excluded from those ascertained with the algorithm.

resultsOne thousand one hundred forty-nine patients were identified by using anaphylaxis ICD-9-CM codes, and 1,602 patients were identified with the algorithm. The clinical risk factors and demographics of cases were consistent between the 2 methods. However, the algorithm was more likely to identify older subjects (P < .0001), those with hypertension or heart disease (P < .0001), and subjects with venom-induced anaphylaxis (P < .0001).

conclusionThis study introduces and validates an ICD-9-CM-based diagnostic algorithm for the diagnosis of anaphylaxis to capture subjects missed by using the ICD-9-CM anaphylaxis codes. Fifty-eight percent of anaphylaxis cases would be missed without the use of the algorithm, including 88% of venom-induced cases.

Indexed as

AlgorithmsAdultAnaphylaxisEmergency Service, HospitalFemaleHumansMaleMiddle Aged

Identifiers

PMID20541247
PMCPMC4158741

What OpenQuestion holds

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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.