Evidence map›Paper›PMID 31014954›Full record

ReviewThe American journal of pathology2019

Network Medicine in Pathobiology.

Laurel Yong-Hwa Lee, Joseph Loscalzo

Abstract readReview
In one paragraph

Review in The American journal of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  6. Review
  7. Article
  8. Disease gene prioritization with quantum walks.Bioinformatics (Oxford, England) · 2024
    Article
  9. The aggregation of marginal gains: a pragmatic philosophy of clinical care in psychiatry.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Construction and contextualization approaches for protein-protein interaction networks.Computational and structural biotechnology journal · 2022
    Review
  18. Article
  19. Article
  20. Network medicine in Cardiovascular Research.Cardiovascular research · 2021
    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

2 authors.

Laurel Yong-Hwa LeeBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Joseph LoscalzoBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: jloscalzo@rics.bwh.harvard.edu.

Funding

TRAINING PROGRAM IN CARDIOVASCULAR RESEARCHT32HL007604 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARK W FEINBERG · 1985 to 2026
$19.0M
Boston Biomedical Innovation CenterU54HL119145 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLAN, DAVID E., LOSCALZO, JOSEPH · 2013 to 2021
$18.8M
TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI MALISZEWSKI, LAURA ELIZABETH · 2014 to 2018
$10.8M
Center for Integrated Approaches to Undiagnosed DiseasesU01HG007690 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2014 to 2022
$10.4M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
PLATELET DERIVED REACTIVE OXYGEN SPECIES AND PLAQUER01HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 1998 to 2006
$1.6M
NHGRI NIH HHS U01 HG007690NHLBI NIH HHS R01 HL061795NHLBI NIH HHS R37 HL061795NHLBI NIH HHS T32 HL007604NHLBI NIH HHS U54 HL119145NIGMS NIH HHS P50 GM107618
6 · The paper itself

Abstract

The past decade has witnessed exponential growth in the generation of high-throughput human data across almost all known dimensions of biological systems. The discipline of network medicine has rapidly evolved in parallel, providing an unbiased, comprehensive biological framework through which to interrogate and integrate systematically these large-scale, multi-omic data to enhance our understanding of disease mechanisms and to design drugs that reflect a deep knowledge of molecular pathobiology. In this review, we discuss the key principles of network medicine and the human disease network and explore the latest applications of network medicine in this multi-omic era. We also highlight the current conceptual and technological challenges, which serve as exciting opportunities by which to improve and expand the network-based applications beyond the artificial boundaries of the current state of human pathobiology.

Indexed as

Pathology, ClinicalPathology, MolecularHumans

Identifiers

PMID31014954
PMCPMC6616999

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.