Evidence map›Paper›PMID 20166764›Full record

ReviewDrugs2010

Cystic fibrosis transmembrane conductance regulator modulators for personalized drug treatment of cystic fibrosis: progress to date.

Frédéric Becq

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.0field-weighted citation impact, top 3% 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.

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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The road for survival improvement of cystic fibrosis patients in Arab countries.International journal of pediatrics & adolescent medicine · 2015
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Pharmacogenomics: mapping monogenic mutations to direct therapy.The Journal of clinical investigation · 2012
    Article
  12. Review
  13. Emergent properties of proteostasis in managing cystic fibrosis.Cold Spring Harbor perspectives in biology · 2011
    Review
  14. Article
  15. CFTR and Ca Signaling in Cystic Fibrosis.Frontiers in pharmacology · 2011
    Article
  16. Article
  17. Article
  18. Article
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

1 author at 1 institution in 1 country.

Frédéric BecqInstitute of Physiology and Cellular Biology, University of Poitiers, National Centre of Scientific Research, Poitiers, France. frederic.becq@univ-poitiers.fr
Université de Poitiers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article considers the issue of personalized drug discovery for the orphan disease cystic fibrosis (CF) to deliver a candidate for therapeutic development. CF is a very complicated disease due to numerous anomalies of the gene leading to progressive severity and morbidity. Despite extensive research efforts, 20 years after the cloning of the CF gene, CF patients are still waiting for a curative treatment as prescribed medications still target the secondary manifestations of the disease rather than the gene or the CF transmembrane conductance regulator (CFTR) protein. New therapeutics aimed at improving mutant CFTR functions, also known as 'protein repair therapy' are nevertheless hoped and predicted to replace some of the currently used therapy, while improving the quality of life as well as life expectancy of CF patients. Although there is substantial variability in the cost of treating CF between countries, a protein repair therapy should also alleviate the financial burden of medical costs for CF patients and their families. Finding new drugs or rediscovering old ones for CF is critically dependent on the delivery of molecular and structural information on the CFTR protein, on its mutated version and on the network of CFTR-interacting proteins. The expertise needed to turn compounds into marketable drugs for CF will depend on our ability to provide biological information obtained from pertinent models of the disease and on our success in transferring safe molecules to clinical trials. Predicting a drug-induced response is also an attractive challenge that could be rapidly applied to patients.

Indexed as

AnimalsClinical Trials as TopicCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDrug DiscoveryDrug Evaluation, PreclinicalDrugs, InvestigationalHumansModels, BiologicalMutationPneumoniaPrecision MedicineCystic Fibrosis Transmembrane Conductance RegulatorDrugs, Investigational

Identifiers

PMID20166764
OpenAlexW2151937777

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.