Evidence map›Paper›PMID 25669213›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2015

Is the ``$1000 Genome'' really $1000? Understanding the full benefits and costs of genomic sequencing.

Kathryn A Phillips, Mark J Pletcher, Uri Ladabaum

Abstract readLetter
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Short-term costs of integrating whole-genome sequencing into primary care and cardiology settings: a pilot randomized trial.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Trial
  2. Article
  3. The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges.International journal of neonatal screening · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Genetic testing in sudden infant death - a wolf in sheep's clothing?Forensic science, medicine, and pathology · 2019
    Article
  8. Article
  9. Article
  10. Cost Analyses of Genomic Sequencing: Lessons Learned from the MedSeq Project.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018
    Article
  11. Review
  12. "What Goes Around Comes Around": Lessons Learned from Economic Evaluations of Personalized Medicine Applied to Digital Medicine.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
  13. 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

3 authors.

Kathryn A PhillipsCenter for Translational and Policy Research on Personalized Medicine, Department of Clinical Pharmacy, University of California at San Francisco, UCSF, San Francisco, CA, USA.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA.
Uri LadabaumDepartment of Medicine, Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NCI NIH HHS 5P30CA082013-15NHGRI NIH HHS R01 HG007063
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Computer SimulationModels, EconometricCost-Benefit AnalysisGenetic Predisposition to DiseaseGenetic TestingGenomicsHumansMass ScreeningNeoplasmscost-effectivenesseconomicspriceSequencing

Identifiers

PMID25669213
PMCPMC4527943

What OpenQuestion holds

Textmetadata
LicenceTDM
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.