Evidence map›Paper›PMID 30103419›Full record

ReviewBiosensors2018

Synergistic Integration of Laboratory and Numerical Approaches in Studies of the Biomechanics of Diseased Red Blood Cells.

He Li, Dimitrios P Papageorgiou, Hung-Yu Chang, Lu Lu, Jun Yang, Yixiang Deng

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 18 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

6 authors at 2 institutions in 1 country.

He LiDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA. he_li@brown.edu.
Dimitrios P PapageorgiouDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. dpapag@mit.edu.
Hung-Yu ChangDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA. hung-yu_chang@brown.edu.
Lu LuDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA. lu_lu_1@brown.edu.ORCID 0000-0002-5476-5768
Jun YangDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. junyang@mit.edu.
Yixiang DengDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA. yixiang_deng@brown.edu.
Brown University · USMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In red blood cell (RBC) disorders, such as sickle cell disease, hereditary spherocytosis, and diabetes, alterations to the size and shape of RBCs due to either mutations of RBC proteins or changes to the extracellular environment, lead to compromised cell deformability, impaired cell stability, and increased propensity to aggregate. Numerous laboratory approaches have been implemented to elucidate the pathogenesis of RBC disorders. Concurrently, computational RBC models have been developed to simulate the dynamics of RBCs under physiological and pathological conditions. In this work, we review recent laboratory and computational studies of disordered RBCs. Distinguished from previous reviews, we emphasize how experimental techniques and computational modeling can be synergically integrated to improve the understanding of the pathophysiology of hematological disorders.

Indexed as

Computer SimulationAnemia, Sickle CellBiomechanical PhenomenaDiabetes MellitusElastic ModulusErythrocytesHumansSpherocytosis, Hereditarylaboratory approachesnumerical modelingred blood cell disorders

Identifiers

PMID30103419
PMCPMC6164935
OpenAlexW2887907968

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.