Evidence map›Paper›PMID 25422272›Full record

ReviewBMJ (Clinical research ed.)2014

Innovative research methods for studying treatments for rare diseases: methodological review.

Joshua J Gagne, Lauren Thompson, Kelly O'Keefe, Aaron S Kesselheim

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in BMJ (Clinical research ed.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07016282 (Simulated and Synthetic Health Data), which is not on this map. Cited by 94 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 8 pooled it
12.1field-weighted citation impact, top 1% of its field
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.

NCT07016282 active not recruitingnot on this mapstarted 2025, after this paper: background citation

Simulated and Synthetic Health Data: Improving Clinical Research on Rare Diseases. A Real-World Data Simulation of Autosomal Dominant Polycystic Kidney Disease (ADPKD) Trials. A Retrospective, Observational Study

TypeobservationalSponsorMario Negri Institute for Pharmacological ResearchRan2025 to 2027Enrolled100ConditionsAutosomal Dominant Polycystic Kidney Disease (ADPKD)
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 8 syntheses or guidelines pooled it, 195 citations in OpenAlex.

  1. Pooled it
  2. Safety and Efficacy of PTH 1-34 and 1-84 Therapy in Chronic Hypoparathyroidism: A Meta-Analysis of Prospective Trials.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Pooled it
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  9. Trial
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  15. Attack rate reductions following berotralstat initiation among US patients with hereditary angioedema in the real-world.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
    Article
  16. Observational
  17. Tailored therapeutics for cardiomyopathies.Nature reviews. Cardiology · 2025
    Review
  18. Article
  19. Patient experience with pulmonary hypertension in Spain.Orphanet journal of rare diseases · 2025
    Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Joshua J GagneDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA jgagne1@partners.org.
Lauren ThompsonDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Kelly O'KeefeDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Aaron S KesselheimDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Harvard University · US

Funding

PHS HHS 290 2010 00006L TO #4
6 · The paper itself

Abstract

objectiveTo examine methods for generating evidence on health outcomes in patients with rare diseases.

designMethodological review of existing literature.

settingPubMed, Embase, and Academic Search Premier searched for articles describing innovative approaches to randomized trial design and analysis methods and methods for conducting observational research in patients with rare diseases.

main outcome measuresWe assessed information related to the proposed methods, the specific rare disease being studied, and outcomes from the application of the methods. We summarize methods with respect to their advantages in studying health outcomes in rare diseases and provide examples of their application.

resultsWe identified 46 articles that proposed or described methods for studying patient health outcomes in rare diseases. Articles covered a wide range of rare diseases and most (72%) were published in 2008 or later. We identified 16 research strategies for studying rare disease. Innovative clinical trial methods minimize sample size requirements (n=4) and maximize the proportion of patients who receive active treatment (n=2), strategies crucial to studying small populations of patients with limited treatment choices. No studies describing unique methods for conducting observational studies in patients with rare diseases were identified.

conclusionsThough numerous studies apply unique clinical trial designs and considerations to assess patient health outcomes in rare diseases, less attention has been paid to innovative methods for studying rare diseases using observational data.

Indexed as

Rare DiseasesResearch DesignCase-Control StudiesEvidence-Based MedicineHumansObservational Studies as TopicOutcome Assessment, Health CareRandomized Controlled Trials as Topic

Identifiers

PMID25422272
PMCPMC4242670
OpenAlexW2102951373

What OpenQuestion holds

Textmetadata
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.