Evidence map›Paper›PMID 29880495›Full record

ArticleCirculation research2018

First Giant Steps Toward a Cell Atlas of Atherosclerosis.

Hanrui Zhang, Nancy R Zhang, Mingyao Li, Muredach P Reilly

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hanrui ZhangFrom the Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York (H.Z., M.P.R.).
Nancy R ZhangDepartment of Statistics, University of Pennsylvania Wharton School, Philadelphia (N.R.Z.).
Mingyao LiDepartment of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia (M.L.).
Muredach P ReillyFrom the Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York (H.Z., M.P.R.) mpr2144@cumc.columbia.edu.

Funding

Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic DiseaseR01HL113147 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, REILLY, MUREDACH P · 2012 to 2022
$6.8M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
Human LincRNAs in Macrophage Biology and Related Cardiometabolic DiseasesR01HL132561 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2017 to 2020
$2.8M
Statistical Methods for Single-Cell TranscriptomicsR01GM125301 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, ZHANG, NANCY R · 2017 to 2020
$1.5M
Mentored Patient Oriented Research in Cardiometabolic DiseaseK24HL107643 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI REILLY, MUREDACH P · 2011 to 2020
$1.4M
Statistical Methods for Transcriptome Profiling Using RNA SequencingR01GM108600 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO · 2014 to 2017
$1.2M
Macrophage-specific function of GWAS CAD-associated LIPA alleles in atherosclerosisK99HL130574 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, HANRUI · 2016 to 2017
$272k
NHGRI NIH HHS R01 HG006137NHLBI NIH HHS K24 HL107643NHLBI NIH HHS K99 HL130574NHLBI NIH HHS R01 HL113147NHLBI NIH HHS R01 HL132561NIGMS NIH HHS R01 GM108600NIGMS NIH HHS R01 GM125301
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AtherosclerosisRNAAnimalsAortaMacrophagesMiceRNAatherosclerosisEditorialsleukocytesmacrophages

Identifiers

PMID29880495
PMCPMC6018056

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.