Evidence map›Paper›PMID 28815099›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017

Enabling Comprehension of Patient Subgroups and Characteristics in Large Bipartite Networks: Implications for Precision Medicine.

Suresh K Bhavnani, Tianlong Chen, Archana Ayyaswamy, Shyam Visweswaran, Gowtham Bellala, Divekar Rohit, Bassler Kevin E

Open access · greenAbstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
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  4. Subtyping Social Determinants of Health inmedRxiv : the preprint server for health sciences · 2023
    Article
  5. Article
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  8. Article
  9. Heterogeneity in COVID-19 Patients at Multiple Levels of Granularity: From Biclusters to Clinical Interventions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    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

7 authors at 4 institutions in 1 country.

Suresh K BhavnaniInstitute for Translational Sciences, University of Texas Medical Branch, Galveston, TX.
Tianlong ChenDepartment of Physics, Houston, TX.
Archana AyyaswamyInstitute for Translational Sciences, University of Texas Medical Branch, Galveston, TX.
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA.
Gowtham BellalaAnalytics Lab, Hewlett Packard Laboratories, Palo Alto, CA.
Divekar RohitDivision of Allergic Diseases, Mayo Clinic, Rochester, MN, USA.
Bassler Kevin EDepartment of Physics, Houston, TX.
The University of Texas Health Science Center at Houston · USThe University of Texas Medical Branch at Galveston · USMayo Clinic in Florida · USUniversity of Pittsburgh · US

Funding

Development and Evaluation of a Learning Electronic Medical Record SystemR01LM012095 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VISWESWARAN, SHYAM · 2015 to 2018
$1.8M
NLM NIH HHS R01 LM012095
6 · The paper itself

Abstract

A primary goal of precision medicine is to identify patient subgroups based on their characteristics (e.g., comorbidities or genes) with the goal of designing more targeted interventions. While network visualization methods such as

Identifiers

PMID28815099
PMCPMC5543384
OpenAlexW2747156003

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.