Evidence map›Paper›PMID 18998949›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

SNOMED CT coding variation and grouping for "other findings" in a longitudinal study on urea cycle disorders.

Timothy B Patrick, Rachel Richesson, James E Andrews, Lillian C Folk

Registry-linked trialAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00237315 (Longitudinal Study of Urea Cycle Disorders), which is not on this map. Cited by 1 paper.

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

NCT00237315 unknown statusnot on this map

Longitudinal Study of Urea Cycle Disorders

TypeobservationalSponsorAndrea GropmanRan2006 to 2026Enrolled1,500ConditionsBrain Diseases, Metabolic, Inborn, Amino Acid Metabolism, Inborn Errors, Urea Cycle Disorders
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Timothy B PatrickUniversity of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Rachel Richesson
James E Andrews
Lillian C Folk

Funding

Training (Career Development) ComponentU54HD061221 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI GROPMAN, ANDREA LYNNE · 2009 to 2023
$20.8M
RARE DISEASES DATA AND TECHNOLOGY COORDINATING CENTERU54RR019259 · NCRR · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2003 to 2008
$14.4M
NCRR NIH HHS U54 RR019259NCRR NIH HHS U54RR01945NICHD NIH HHS U54 HD061221
6 · The paper itself

Abstract

Semantic interoperability requires consistent use of controlled terminologies. However, non-terminology experts (although perhaps experts in a particular domain) are prone to produce variant coding. We examine this problem by investigating SNOMED CT coding variation for other findings reported on case report forms from a clinical research study on urea cycle disorders. The natural language findings from the forms were normalized, and the associated SNOMED CT concept descriptions were compared. The subset of normalized strings associated with two different concept descriptions were further compared to determine the relationship among the associated SNOMED CT concepts. We found 45% of the concept description pairs were associated with two hierarchically related concepts or with the same concept, while 55% were associated with two unrelated concepts. Clearer guidelines for use of SNOMED CT in particular contexts, or structured data entry tools tailored to the needs of non-expert coders, are needed to better manage coding variation.

Indexed as

Medical Records Systems, ComputerizedNatural Language ProcessingSoftwareSystematized Nomenclature of MedicineTerminology as TopicAbstracting and IndexingArtificial IntelligenceDatabase Management SystemsDatabases, FactualForms and Records ControlInformation Storage and RetrievalLongitudinal StudiesRare DiseasesUnited StatesUrea Cycle Disorders, Inborn

Identifiers

PMID18998949
PMCPMC2656069

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Registered trials

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.