Evidence map›Paper›PMID 28360346›Full record

ArticleCirculation research2017

Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine.

Peipei Ping, Karol Watson, Jiawei Han, Alex Bui

Abstract read
In one paragraph

Article in Circulation research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Metabolic syndrome and a broken heart: trust your gut or risk your heart.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

4 authors.

Peipei PingFrom the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.). pping38@g.ucla.edu.
Karol WatsonFrom the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).
Jiawei HanFrom the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).
Alex BuiFrom the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).

Funding

TRAININGU54GM114833 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LINDSEY, MERRY L., PING, PEIPEI · 2014 to 2017
$13.8M
Omics Phenotyping for Identifying Molecular Signatures of the Healthy and Failing Heart: An Integrated Data Science PlatformR35HL135772 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PING, PEIPEI · 2017 to 2023
$6.4M
Toward Individually-tailored Medicine: Probabilistic Models of Cerebral AneurysmsR01EB000362 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2003 to 2012
$5.1M
PKC epsilon and Src PTK Signaling in PreconditioningR37HL063901 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PING, PEIPEI · 2010 to 2016
$2.7M
NHLBI NIH HHS R35 HL135772NHLBI NIH HHS R37 HL063901NIBIB NIH HHS R01 EB000362NIGMS NIH HHS U54 GM114833
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceCardiologyComputational BiologyHeart FailureHumansPrecision Medicineartificial intelligencedata mininginformaticsmachine learningprecision medicine

Identifiers

PMID28360346
PMCPMC6847981

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.