Evidence map›Paper›PMID 19348694›Full record

ArticleGenome medicine2009

Translating genomics into the clinic: moving to the post-Mendelian world.

Mildred K Cho

Abstract read
In one paragraph

Article in Genome medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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.

Mildred K ChoStanford Center for Biomedical Ethics, Center for Integration of Research on Genetics and Ethics, Department of Pediatrics, Division of Genetics, Welch Road, Palo Alto, CA 94304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge of genome medicine is not to make a significant move into the clinic over the next five years. The floodgates of genomic research have been opened, and the hopes are that the rising tide will spill over into medical practice in the form of diagnostic tests, risk assessment tools and therapeutics. The ability to perform genome-wide analyses using several different approaches has already provided tantalizing new clues to disease causation and therapeutic targets. Companies have sprung up to use these new technologies to provide information to individuals about predicted health and disease, and about behavioral traits. As exciting as these prospects are, it is far too soon to promise clinically useful information from genomic analyses. We have far to go to assure basic levels of analytical validity or clinical validity of the diagnostic or predictive tools on offer, and to determine their clinical utility in the medical context.

Identifiers

PMID19348694
PMCPMC2651588

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.