Evidence map›Paper›PMID 20370751›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2010

A new diagnosis grouping system for child emergency department visits.

Evaline A Alessandrini, Elizabeth R Alpern, James M Chamberlain, Judy A Shea, Marc H Gorelick

Abstract readValidation Study
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In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
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  10. Patient and Family Factors Associated with Use of Telemedicine Visits for Pediatric Acute Respiratory Tract Infections, 2018-2019.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2023
    Article
  11. Review
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  13. Article
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  16. Initial effects of the COVID-19 pandemic on pediatric asthma emergency department utilization.The journal of allergy and clinical immunology. In practice · 2020
    Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Evaline A AlessandriniDepartment of Pediatrics, University of Pennsylvania School of Medicine and Emergency Medicine, The Children's Hospital of Philadelphia, PA, USA. evaline.alessandrini@cchmc.org
Elizabeth R Alpern
James M Chamberlain
Judy A Shea
Marc H Gorelick

Funding

PHS HHS H34MC02547
6 · The paper itself

Abstract

objectivesA clinically sensible system of grouping diseases is needed for describing pediatric emergency diagnoses for research and reporting. This project aimed to create an International Classification of Diseases (ICD)-based diagnosis grouping system (DGS) for child emergency department (ED) visits that is 1) clinically sensible with regard to how diagnoses are grouped and 2) comprehensive in accounting for nearly all diagnoses (>95%). The second objective was to assess the construct validity of the DGS by examining variation in the frequency of targeted groups of diagnoses within the concepts of season, age, sex, and hospital type.

methodsA panel of general and pediatric emergency physicians used the nominal group technique and Delphi surveys to create the DGS. The primary data source used to develop the DGS was the Pediatric Emergency Care Applied Research Network (PECARN) Core Data Project (PCDP).

resultsA total of 3,041 ICD-9 codes, accounting for 98.9% of all diagnoses in the PCDP, served as the basis for creation of the DGS. The expert panel developed a DGS framework representing a clinical approach to the diagnosis and treatment of pediatric emergency patients. The resulting DGS has 21 major groups and 77 subgroups and accounts for 96.5% to 99% of diagnoses when applied to three external data sets. Variations in the frequency of targeted groups of diagnoses related to seasonality, age, sex, and site of care confirm construct validity.

conclusionsThe DGS offers a clinically sensible method for describing pediatric ED visits by grouping ICD-9 codes in a consensus-derived classification scheme. This system may be used for research, reporting, needs assessment, and resource planning.

Indexed as

International Classification of DiseasesChildDelphi TechniqueDiagnosis-Related GroupsEmergency Service, HospitalHealth Services ResearchHumansNeeds AssessmentPediatricsReproducibility of ResultsSeasons

Identifiers

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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.