Evidence map›Paper›PMID 23457165›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2013

Stratified medicine: drugs meet genetics.

Ian P Hall

Open access · diamondAbstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Biomarkers in chronic obstructive pulmonary disease: confusing or useful?International journal of chronic obstructive pulmonary disease · 2014
    Review
  6. Article
  7. Personalised medicine for cystic fibrosis: treating the basic defect.European respiratory review : an official journal of the European Respiratory Society · 2013
    Article
  8. The impact of personalised therapies on respiratory medicine.European respiratory review : an official journal of the European Respiratory Society · 2013
    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.

Ian P HallDivision of Therapeutics and Molecular Medicine, Queen's Medical Centre, Nottingham, UK. Ian.Hall@nottingham.ac.uk
Queen's Medical Centre · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

It is well recognised that genetic factors play a major role in the development of respiratory diseases such as asthma and chronic obstructive pulmonary disease. However, whilst extensive data exist on diseases caused primarily by single gene defects, such as α1-antitrypsin deficiency, the genetic factors responsible for the development of complex disease are only now being defined. Once the gene(s) responsible for the heritable element of disease risk are known, the next step is to identify the mechanisms underlying the pathophysiological effects of the causal mutations in these genes. This process can be time consuming, but allows a full understanding of the mechanisms underlying disease development to be obtained. This knowledge can then potentially be used to stratify patient groups within (or even across) disease boundaries and then to target therapy more effectively.

Indexed as

Molecular Targeted TherapyPrecision MedicineAnimalsAsthmaCystic FibrosisGenetic Predisposition to DiseaseGenetic TestingHumansLung DiseasesPatient SelectionPhenotypePredictive Value of TestsPrognosisPulmonary Disease, Chronic ObstructiveRespiratory System AgentsRisk AssessmentRespiratory System Agents

Identifiers

PMID23457165
PMCPMC9487434
OpenAlexW2115524832

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.