Evidence map›Paper›PMID 30581527›Full record

ArticleScanning2018

Nonlinear Biomechanical Characteristics of Deep Deformation of Native RBC Membranes in Normal State and under Modifier Action.

Elena Kozlova, Aleksandr Chernysh, Ekaterina Manchenko, Viktoria Sergunova, Viktor Moroz

Open access · hybridAbstract read
In one paragraph

Article in Scanning, 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
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

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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 2 institutions in 1 country.

Elena KozlovaFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, 107031, 25 Petrovka Str., Build. 2, Moscow, Russia.ORCID 0000-0002-1780-895X
Aleksandr ChernyshFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, 107031, 25 Petrovka Str., Build. 2, Moscow, Russia.
Ekaterina ManchenkoFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, 107031, 25 Petrovka Str., Build. 2, Moscow, Russia.
Viktoria SergunovaFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, 107031, 25 Petrovka Str., Build. 2, Moscow, Russia.
Viktor MorozFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, 107031, 25 Petrovka Str., Build. 2, Moscow, Russia.
Sechenov University · RUV.A. Negovsky Scientific Research Institute of General Reanimatology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of membranes of native human red blood cells (RBCs) to bend into the cell to a depth comparable in size with physiological deformations was evaluated. For this, the methods of atomic force microscopy and atomic force spectroscopy were used. Nonlinear patterns of deep deformation (up to 600 nm) of RBC membranes were studied in normal state and under the action of modifiers: fixator (glutaraldehyde), natural oxidant (hemin), and exogenous intoxicator (zinc ions),

Indexed as

Biomechanical PhenomenaBuffersCations, DivalentElastic ModulusErythrocyte MembraneGlutaralHeminHumansMicroscopy, Atomic ForceSurface PropertiesZincBuffersCations, DivalentGlutaralHeminZinc

Identifiers

PMID30581527
PMCPMC6276460
OpenAlexW2901887341

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.