Evidence map›Paper›PMID 22405050›Full record

ReviewThrombosis research2012

A review of current methods for assessing hemostasis in vivo and introduction to a potential alternative approach.

Mallory R Scola, Leslie M Baggesen, Tim C Nichols, Nigel S Key, Caterina M Gallippi

Open access · greenAbstract readReview
In one paragraph

Review in Thrombosis research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Lessons Learned from Animal Models of Inherited Bleeding Disorders.Hematology education. European Hematology Association. Congress. Education Program · 2014
    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

5 authors at 1 institution in 1 country.

Mallory R ScolaJoint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. cmgallip@bme.unc.edu
Leslie M Baggesen
Tim C Nichols
Nigel S Key
Caterina M Gallippi
University of North Carolina at Chapel Hill · US

Funding

Maintenance of Models of Human Hemophilia and VWDR24HL063098 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLS, TIMOTHY CHARLES · 1999 to 2019
$15.1M
DP ARF Ultrasound for Monitoring Muscle Degeneration in Duchenne Muscular DystropR01NS074057 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2011 to 2015
$2.0M
Independent Scientist: ARFI and RWI Ultrasound for Improved Atherosclerosis ImagiK02HL105659 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GALLIPPI, CATERINA M · 2010 to 2014
$509k
NHLBI NIH HHS HL63098NHLBI NIH HHS K02 HL105659NHLBI NIH HHS R24 HL063098NINDS NIH HHS R01 NS074057
6 · The paper itself

Abstract

A validated method for assessing hemostasis in vivo is critical for testing the hemostatic efficacy of therapeutic agents in preclinical animal models and in patients with inherited bleeding disorders, such as von Willebrand disease (VWD) and hemophilia A, or with acquired bleeding disorders such as those resulting from medications or disease processes. In this review, we discuss current methods for assessing hemostasis in vivo and the associated challenges. We also present ARFI-Monitored Hemostatic Challenge; a new, potentially alternate method for in vivo hemostasis monitoring that is in development by our group.

Indexed as

AnimalsBlood Coagulation DisordersDisease Models, AnimalDogsHemophilia AHemostasisHumansUltrasonographyvon Willebrand Diseases

Identifiers

PMID22405050
PMCPMC3928126
OpenAlexW2026930771

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.