Evidence map›Paper›PMID 35874542›Full record

ReviewFrontiers in physiology2022

Physical Properties of Blood and their Relationship to Clinical Conditions.

Tamas Alexy, Jon Detterich, Philippe Connes, Kalman Toth, Elie Nader, Peter Kenyeres, Jose Arriola-Montenegro, Pinar Ulker, Michael J Simmonds

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 6 institutions in 5 countries.

Tamas AlexyDepartment of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, United States.
Jon DetterichDepartment of Pediatrics, Division of Cardiology, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Philippe ConnesLaboratory LIBM EA7424, Vascular Biology and Red Blood Cell Team, University of Lyon, Lyon, France.
Kalman TothFirst Department of Medicine, Division of Cardiology, Medical School, University of Pecs, Pecs, Hungary.
Elie NaderLaboratory LIBM EA7424, Vascular Biology and Red Blood Cell Team, University of Lyon, Lyon, France.
Peter KenyeresFirst Department of Medicine, Division of Cardiology, Medical School, University of Pecs, Pecs, Hungary.
Jose Arriola-MontenegroDepartment of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, United States.
Pinar UlkerDepartment of Physiology, Akdeniz University, Faculty of Medicine, Antalya, Turkey.
Michael J SimmondsBiorheology Research Laboratory, Menzies Health Institute Queensland, Griffith University, Brisbane, QLD, Australia.
Université Claude Bernard Lyon 1 · FRUniversity of Minnesota · USUniversity of Pecs · HUAkdeniz University · TRGriffith University · AUUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been long known that blood health heavily influences optimal physiological function. Abnormalities affecting the physical properties of blood have been implicated in the pathogenesis of various disorders, although the exact mechanistic links between hemorheology and clinical disease manifestations remain poorly understood. Often overlooked in current medical practice, perhaps due to the promises offered in the molecular and genetic era, the physical properties of blood which remain a valuable and definitive indicator of circulatory health and disease. Bridging this gap, the current manuscript provides an introduction to hemorheology. It reviews the properties that dictate bulk and microcirculatory flow by systematically dissecting the biomechanics that determine the non-Newtonian behavior of blood. Specifically, the impact of hematocrit, the mechanical properties and tendency of red blood cells to aggregate, and various plasma factors on blood viscosity will be examined. Subsequently, the manner in which the physical properties of blood influence hemodynamics in health and disease is discussed. Special attention is given to disorders such as sickle cell disease, emphasizing the clinical impact of severely abnormal blood rheology. This review expands into concepts that are highly topical; the relation between mechanical stress and intracellular homeostasis is examined through a contemporary cell-signaling lens. Indeed, accumulating evidence demonstrates that nitric oxide is not only transported by erythrocytes, but is locally produced by mechanically-sensitive enzymes, which appears to have intracellular and potentially extracellular effects. Finally, given the importance of shear forces in the developing field of mechanical circulatory support, we review the role of blood rheology in temporary and durable mechanical circulatory support devices, an increasingly utilized method of life support. This review thus provides a comprehensive overview for interested trainees, scientists, and clinicians.

Indexed as

aggregationblood viscositydeformabilityhemorheologymedical devices

Identifiers

PMID35874542
PMCPMC9298661
OpenAlexW4286631736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.