Evidence map›Paper›PMID 23941275›Full record

ReviewBMC medicine2013

Personalizing health care: feasibility and future implications.

Brian Godman, Alexander E Finlayson, Parneet K Cheema, Eva Zebedin-Brandl, Inaki Gutiérrez-Ibarluzea, Jan Jones, Rickard E Malmström, Elina Asola, Christoph Baumgärtel, Marion Bennie and 35 more

Abstract readReview
In one paragraph

Review in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Novel associations betweenPharmacogenomics · 2021
    Observational
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Use of big data in drug development for precision medicine: an update.Expert review of precision medicine and drug development · 2019
    Article
  15. Big Data's Role in Precision Public Health.Frontiers in public health · 2018
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

45 authors.

Brian GodmanDepartment of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska Institutet, Karolinska University Hospital Huddinge, SE-141 86, Stockholm, Sweden. Brian.Godman@ki.se
Alexander E Finlayson
Parneet K Cheema
Eva Zebedin-Brandl
Inaki Gutiérrez-Ibarluzea
Jan Jones
Rickard E Malmström
Elina Asola
Christoph Baumgärtel
Marion Bennie
Iain Bishop
Anna Bucsics
Stephen Campbell
Eduardo Diogene
Alessandra Ferrario
Jurij Fürst
Kristina Garuoliene
Miguel Gomes
Katharine Harris
Alan Haycox
Harald Herholz
Krystyna Hviding
Saira Jan
Marija Kalaba
Christina Kvalheim
Ott Laius
Sven-Ake Lööv
Kamila Malinowska
Andrew Martin
Laura McCullagh
Fredrik Nilsson
Ken Paterson
Ulrich Schwabe
Gisbert Selke
Catherine Sermet
Steven Simoens
Dominik Tomek
Vera Vlahovic-Palcevski
Luka Voncina
Magdalena Wladysiuk
Menno van Woerkom
Durhane Wong-Rieger
Corrine Zara
Raghib Ali
Lars L Gustafsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable variety in how patients respond to treatments, driven by differences in their geno- and/ or phenotypes, calls for a more tailored approach. This is already happening, and will accelerate with developments in personalized medicine. However, its promise has not always translated into improvements in patient care due to the complexities involved. There are also concerns that advice for tests has been reversed, current tests can be costly, there is fragmentation of funding of care, and companies may seek high prices for new targeted drugs. There is a need to integrate current knowledge from a payer's perspective to provide future guidance. Multiple findings including general considerations; influence of pharmacogenomics on response and toxicity of drug therapies; value of biomarker tests; limitations and costs of tests; and potentially high acquisition costs of new targeted therapies help to give guidance on potential ways forward for all stakeholder groups. Overall, personalized medicine has the potential to revolutionize care. However, current challenges and concerns need to be addressed to enhance its uptake and funding to benefit patients.

Indexed as

Delivery of Health CareFeasibility StudiesForecastingHumansPatient CarePharmacogeneticsPrecision Medicine

Identifiers

PMID23941275
PMCPMC3750765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.