Evidence map›Paper›PMID 18923934›Full record

ArticleGenomic medicine2007

From evidence-based medicine to genomic medicine.

Dhavendra Kumar

Abstract read
In one paragraph

Article in Genomic medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Trends in the characteristics of human functional genomic data on the gene expression omnibus, 2001-2017.Laboratory investigation; a journal of technical methods and pathology · 2019
    Article
  6. Sherloc: a comprehensive refinement of the ACMG-AMP variant classification criteria.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  7. Review
  8. Article
  9. Review
  10. Data standards for Omics data: the basis of data sharing and reuse.Methods in molecular biology (Clifton, N.J.) · 2011
    Review
  11. Nutrigenomics and nutrigenetics.Iranian journal of public health · 2010
    Article
  12. 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.

Dhavendra KumarInstitute of Medical Genetics, University Hospital of Wales, Cardiff University, Cardiff, CF14 4XN, UK, kumard1@cardiff.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of 'evidence-based medicine' dates back to mid-19th century or even earlier. It remains pivotal in planning, funding and in delivering the health care. Clinicians, public health practitioners, health commissioners/purchasers, health planners, politicians and public seek formal 'evidence' in approving any form of health care provision. Essentially 'evidence-based medicine' aims at the conscientious, explicit and judicious use of the current best evidence in making decisions about the care of individual patients. It is in fact the 'personalised medicine' in practice. Since the completion of the human genome project and the rapid accumulation of huge amount of data, scientists and physicians alike are excited on the prospect of 'personalised health care' based on individual's genotype and phenotype. The first decade of the new millennium now witnesses the transition from 'evidence-based medicine' to the 'genomic medicine'. The practice of medicine, including health promotion and prevention of disease, stands now at a wide-open road as the scientific and medical community embraces itself with the rapidly expanding and revolutionising field of genomic medicine. This article reviews the rapid transformation of modern medicine from the 'evidence-based medicine' to 'genomic medicine'.

Identifiers

PMID18923934
PMCPMC2269034

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.