Evidence map›Paper›PMID 26958175›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium

LORD: a phenotype-genotype semantically integrated biomedical data tool to support rare disease diagnosis coding in health information systems.

Remy Choquet, Meriem Maaroufi, Yannick Fonjallaz, Albane de Carrara, Pierre-Yves Vandenbussche, Ferdinand Dhombres, Paul Landais

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Drugs for rare disorders.British journal of clinical pharmacology · 2017
    Article
  3. Article
  4. Review
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

7 authors.

Remy ChoquetBanque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, APHP, F-75015, Paris, France; INSERM, U1142, LIMICS, F-75006, Paris, France.
Meriem MaaroufiBanque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, APHP, F-75015, Paris, France; INSERM, U1142, LIMICS, F-75006, Paris, France.
Yannick FonjallazBanque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, APHP, F-75015, Paris, France.
Albane de CarraraBanque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, APHP, F-75015, Paris, France.
Pierre-Yves VandenbusscheINSERM, U1142, LIMICS, F-75006, Paris, France.
Ferdinand DhombresINSERM, U1142, LIMICS, F-75006, Paris, France; Service de Médecine Foetale, Hôpital Armand Trousseau, APHP, UPMC, Paris, France.
Paul LandaisBanque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, APHP, F-75015, Paris, France; Montpellier1 University, EA2415 & BESPIM, University Hospital, Nîmes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing a rare disease diagnosis for a given patient is often made through expert's networks. It is a complex task that could evolve over time depending on the natural history of the disease and the evolution of the scientific knowledge. Most rare diseases have genetic causes and recent improvements of sequencing techniques contribute to the discovery of many new diseases every year. Diagnosis coding in the rare disease field requires data from multiple knowledge bases to be aggregated in order to offer the clinician a global information space from possible diagnosis to clinical signs (phenotypes) and known genetic mutations (genotype). Nowadays, the major barrier to the coding activity is the lack of consolidation of such information scattered in different thesaurus such as Orphanet, OMIM or HPO. The Linking Open data for Rare Diseases (LORD) web portal we developed stands as the first attempt to fill this gap by offering an integrated view of 8,400 rare diseases linked to more than 14,500 signs and 3,270 genes. The application provides a browsing feature to navigate through the relationships between diseases, signs and genes, and some Application Programming Interfaces to help its integration in health information systems in routine.

Indexed as

Health Information SystemsClinical CodingDatabases, FactualData MiningGenotypeHumansMedical Record LinkagePhenotypeRare DiseasesSemantics

Identifiers

PMID26958175
PMCPMC4765596

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.