Evidence map›Paper›PMID 25029971›Full record

ArticleJournal of general internal medicine2014

Important role of translational science in rare disease innovation, discovery, and drug development.

Anne R Pariser, William A Gahl

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Fine-tuning large language models for rare disease concept normalization.Journal of the American Medical Informatics Association : JAMIA · 2024
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  5. Fine-tuning Large Language Models for Rare Disease Concept Normalization.bioRxiv : the preprint server for biology · 2024
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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

2 authors.

Anne R PariserOffice of New Drugs, Rare Diseases Program, Center for Drug Evaluation and Research, Food and Drug Administration, WO22-6471, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA, Anne.pariser@fda.hhs.gov.
William A Gahl

Funding

Human Biochemical GeneticsZIAHG000215 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI GAHL, WILLIAM · 2009 to 2025
$72.6M
Intramural NIH HHS
6 · The paper itself

Abstract

Rare diseases play a leading role in innovation and the advancement of medical and pharmaceutical science. Most rare diseases are genetic disorders or atypical manifestations of infectious, immunologic, or oncologic diseases; they all provide opportunities to study extremes of human pathology and provide insight into both normal and aberrant physiology. Recently, drug development has become increasingly focused on classifying diseases largely on genetic grounds; this has allowed the identification of molecularly defined targets and the development of targeted therapies. Clinical trials are now focusing on progressively smaller subgroups within both common and rare disease populations, often based on genetic tests or biomarkers. Drug developers, researchers, and regulatory agencies face a variety of challenges throughout the life cycle of drug research and development for rare diseases. These include the small numbers of patients available for study, lack of knowledge of the disease's natural history, incomplete understanding of the basic mechanisms causing the disorder, and variability in disease severity, expression, and course. Traditional approaches to rare disease clinical research have not kept pace with advances in basic science, and increased attention to translational science is needed to address these challenges, especially diagnostic testing, registries, and novel trial designs.

Indexed as

Biomedical ResearchDrug DiscoveryTherapies, InvestigationalTranslational Research, BiomedicalHumansRare Diseases

Identifiers

PMID25029971
PMCPMC4124126

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.