Evidence map›Paper›PMID 24551424›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Evaluating congruence between laboratory LOINC value sets for quality measures, public health reporting, and mapping common tests.

Jianmin Wu, John T Finnell, Daniel J Vreeman

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Jianmin WuRegenstrief Institute, Inc., Indianapolis, IN ; Indiana University School of Informatics and Computing, Indianapolis, IN.
John T FinnellRegenstrief Institute, Inc., Indianapolis, IN ; Indiana University School of Informatics and Computing, Indianapolis, IN ; Indiana University School of Medicine, Indianapolis, IN.
Daniel J VreemanIndiana University School of Informatics and Computing, Indianapolis, IN ; Indiana University School of Medicine, Indianapolis, IN.

Funding

NLM NIH HHS HHSN276200800006CPHS HHS HHSN2762008000006C
6 · The paper itself

Abstract

Laboratory test results are important for secondary data uses like quality measures and public health reporting, but mapping local laboratory codes to LOINC is a challenge. We evaluated the congruence between laboratory LOINC value sets for quality measures, public health reporting, and mapping common tests. We found a modest proportion of the LOINC codes from the Value Set Authority Center (VSAC) were present in the LOINC Top 2000 Results (16%) and the Reportable Condition Mapping Table (52%), and only 25 terms (3%) were shared with the Notifiable Condition Detector Top 129. More than a third of the VSAC Quality LOINCs were unique to that value set. A relatively small proportion of the VSAC Quality LOINCs were used by our hospital laboratories. Our results illustrate how mapping based only on test frequency might hinder these secondary uses of laboratory test results.

Indexed as

Clinical Laboratory Information SystemsLogical Observation Identifiers Names and CodesClinical Laboratory TechniquesHumansPublic Health InformaticsQuality Assurance, Health CareVocabulary, Controlled

Identifiers

PMID24551424
PMCPMC3900163

What OpenQuestion holds

Textmetadata
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.