ReviewThe Yale journal of biology and medicine2021
Patients as Partners in Rare Disease Diagnosis and Research.
Review in The Yale journal of biology and medicine, 2021. 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 6 papers.
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.
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.
Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network
Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Arriving at a diagnosis: Effective strategies used by the Undiagnosed Diseases Network.Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- Building capacity for patient-engagement in neuromuscular disease research: A network project.Journal of neuromuscular diseases · 2026Article
- Importance and Potential of Rare Disease Research in Pediatric Rheumatology and Beyond: Pushing Frontiers.ACR open rheumatology · 2025Review
- A community-centric model for conference co-creation: the world conference on CDG for patients, families and professionals.Research involvement and engagement · 2024Article
- Knowledge and Attitudes of Clinical Trials among Patients with Rare Diseases and the Guardians in China.Therapeutic innovation & regulatory science · 2024Article
- Together4RD position statement on collaboration between European reference networks and industry.Orphanet journal of rare diseases · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
There is great value in understanding the patient perspective in rare disease diagnosis and research, and in partnering actively with patients and their families throughout the process. Meaningful and respectful interaction between patients and researchers leads to learning on both sides, and ultimately, to better research outcomes. Researchers can help patients understand how research is conducted and what the latest advances and perceived gaps in research are, and patients, who have direct experience living with their health conditions, can impart to researchers what is most important to them. We describe our engagement with patients in the Undiagnosed Diseases Network (UDN) program, as well as the lessons we have learned to date. In the UDN, patients have been instrumental in bringing meaning to the work of clinicians and researchers, building patient communities, making the network aware of unmet patient needs, advocating for additional research funding, and disseminating UDN research findings. Although patient engagement in the UDN has already had a significant positive impact on our work, we continue to strive to involve patients earlier in the process, in the research design itself, and in addressing power dynamics that may arise between clinicians, researchers, and patients.
Indexed as
Identifiers
34970107PMC8686769W4206859726What OpenQuestion holds
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.