Evidence map›Paper›PMID 29217119›Full record

ReviewTrends in molecular medicine2018

Panomics for Precision Medicine.

Charanjit Sandhu, Alia Qureshi, Andrew Emili

Open access · greenAbstract readReview
In one paragraph

Review in Trends in molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 77 citations in OpenAlex.

  1. Review
  2. Review
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  5. Article
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  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Precision medicine and implications in medical education.Annals of medicine and surgery (2012) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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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 at 2 institutions in 2 countries.

Charanjit SandhuDonnelly Centre, University of Toronto, Toronto, ON, Canada. Electronic address: charanjit.sandhu@mail.utoronto.ca.
Alia QureshiHarvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Andrew EmiliDonnelly Centre, University of Toronto, Toronto, ON, Canada.
University of Toronto · CAHarvard University · US

Funding

Multiscale analysis of metabolic inflammation as a driver of breast cancerU01CA243004 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V, EMILI, ANDREW · 2020 to 2024
$2.8M
Mapping the blood cell protein complexosomeR01DK110520 · NIDDK · UNIVERSITY OF TEXAS AT AUSTIN · PI EMILI, ANDREW, MARCOTTE, EDWARD M · 2016 to 2018
$727k
NCI NIH HHS U01 CA243004NIDDK NIH HHS R01 DK110520
6 · The paper itself

Abstract

Medicine is poised to undergo a digital transformation. High-throughput platforms are creating terabytes of genomic, transcriptomic, proteomic, and metabolomic data. The challenge is to interpret these data in a meaningful manner - to uncover relationships that are not readily apparent between molecular profiles and states of health or disease. This will require the development of novel data pipelines and computational tools. The combined analysis of multi-dimensional data is referred to as 'panomics'. The ultimate hope of integrative panomics is that it will lead to the discovery and application of novel markers and targeted therapeutics that drive forward a new era of 'precision medicine' where inter-individual variation is accounted for in the treatment of patients.

Indexed as

AnimalsEpigenesis, GeneticGenomicsHumansMetabolomicsPrecision MedicineSequence Analysis, RNASingle-Cell AnalysisTranscriptomegenomicsmetabolomicspanomicsprecision medicineproteomicstranscriptomics

Identifiers

PMID29217119
PMCPMC5839674
OpenAlexW2774742000

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.