Evidence map›Paper›PMID 32477883›Full record

ArticleTranslational science of rare diseases2020

The undiagnosed diseases program: Approach to diagnosis.

Ellen F Macnamara, Precilla D'Souza, Undiagnosed Diseases Network, Cynthia J Tifft

Registry-linked trialAbstract read
In one paragraph

Article in Translational science of rare diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02450851 (Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT02450851 recruitingnot on this map

Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network

TypeobservationalSponsorNational Human Genome Research Institute (NHGRI)Ran2015 to 2028Enrolled20,000ConditionsGenetic Disease
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. VarPPUD: Variant post prioritization developed for undiagnosed genetic disorders.medRxiv : the preprint server for health sciences · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  12. 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

4 authors.

Ellen F MacnamaraNational Institutes of Health, Undiagnosed Diseases Program, Common Fund, Office of the Director, Bethesda, MD, USA.
Precilla D'SouzaNational Institutes of Health, Undiagnosed Diseases Program, Common Fund, Office of the Director, Bethesda, MD, USA.
Undiagnosed Diseases Network
Cynthia J TifftNational Institutes of Health, Undiagnosed Diseases Program, Common Fund, Office of the Director, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undiagnosed and rare conditions are collectively common and affect millions of people worldwide. The NIH Undiagnosed Diseases Program (UDP) strives to achieve both a comprehensive diagnosis and a better understanding of the mechanisms of disease for many of these individuals. Through the careful review of records, a well-orchestrated inpatient evaluation, genomic sequencing and testing, and with the use of emerging strategies such as matchmaking programs, the UDP succeeds nearly 30 percent of the time for these highly selective cases. Although the UDP process is built on a unique set of resources, case examples demonstrate steps genetic professionals can take, in both clinical and research settings, to arrive at a diagnosis for their most challenging cases.

Indexed as

genome sequencingmodel organismsrare diseaseRNA sequencingUndiagnosed

Identifiers

PMID32477883
PMCPMC7250153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.