Evidence map›Paper›PMID 38280999›Full record

ArticleOrphanet journal of rare diseases2024

Coding undiagnosed rare disease patients in health information systems: recommendations from the RD-CODE project.

Céline Angin, Monica Mazzucato, Stefanie Weber, Kurt Kirch, Waed Abdel Khalek, Houda Ali, Sylvie Maiella, Annie Olry, Anne-Sophie Jannot, Ana Rath

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The challenge of persistent physical symptoms.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  7. Article
  8. Article
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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

10 authors.

Céline AnginFrench National Rare Disease Registry (BNDMR), Greater Paris University Hospitals (AP-HP), 33 Boulevard de Picpus, 75012, Paris, France. celine.angin@aphp.fr.ORCID 0009-0001-2792-361X
Monica MazzucatoRD Coordinating Centre, Veneto Region, Padua University Hospital, Padua, Italy.
Stefanie WeberBfArM, Cologne, Germany.
Kurt KirchBfArM, Cologne, Germany.
Waed Abdel KhalekInserm, US14-Orphanet, Paris, France.
Houda AliInserm, US14-Orphanet, Paris, France.
Sylvie MaiellaInserm, US14-Orphanet, Paris, France.
Annie OlryInserm, US14-Orphanet, Paris, France.
Anne-Sophie JannotFrench National Rare Disease Registry (BNDMR), Greater Paris University Hospitals (AP-HP), 33 Boulevard de Picpus, 75012, Paris, France.
Ana RathInserm, US14-Orphanet, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn European Union countries, any disease affecting less than 5 people in 10,000 is considered rare. As expertise is scarce and rare diseases (RD) are complex, RD patients can remain undiagnosed for many years. The period of searching for a diagnosis, called diagnostic delay, sometimes leads to a diagnostic dead end when the patient's disease is impossible to diagnose after undergoing all available investigations. In recent years, extensive efforts have been made to support the implementation of ORPHA nomenclature in health information systems (HIS) so as to allow RD coding. Until recently, the nomenclature only encompassed codes for specific RD. Persons suffering from a suspected RD who could not be diagnosed even after full investigation, could not be coded with ORPHAcodes. The recognition of the RD status is necessary for patients, even if they do not have a precise diagnosis. It can facilitate reimbursement of care, be socially and psychologically empowering, and grant them access to scientific advances.

resultsThe RD-CODE project aimed at making those patients identifiable in HIS in order to produce crucial epidemiological data. Undiagnosed patients were defined as patients for whom no clinically-known disorder could be confirmed by an expert center after all reasonable efforts to obtain a diagnosis according to the state-of-the-art and diagnostic capabilities available. Three recommendations for the coding of undiagnosed RD patients were produced by a multi-stakeholder panel of experts: 1/ Capture the diagnostic ascertainment for all rare disease cases; 2/ Use the newly created ORPHAcode (ORPHA:616874 "Rare disorder without a determined diagnosis after full investigation"), available in the Orphanet nomenclature: as the code is new, guidelines are essential to ensure its correct and homogeneous use for undiagnosed patients' identification in Europe and beyond; 3/ Use additional descriptors in registries.

conclusionsThe recommendations can now be implemented in HIS (electronic health records and/or registries) and could be a game-changer for patients, clinicians and researchers in the field, enabling assessment of the RD population, including undiagnosed patients, adaptation of policy measures including financing for care and research programs, and to improved access of undiagnosed patients to research programs.

Indexed as

Health Information SystemsRare DiseasesDelayed DiagnosisEuropeEuropean UnionHumansCodingDiagnosisElectronic health recordsEpidemiologyHealth information systemsORPHAcodesPublic healthRare diseasesRegistriesStatisticsUndiagnosed patients

Identifiers

PMID38280999
PMCPMC10822150

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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.