Evidence map›Paper›PMID 34063200›Full record

ReviewCells2021

Imaging the Renal Microcirculation in Cell Therapy.

Katerina Apelt, Roel Bijkerk, Franck Lebrin, Ton J Rabelink

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 21 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

4 authors at 2 institutions in 2 countries.

Katerina ApeltDepartment of Internal Medicine-Nephrology, Leiden University Medical Center, 2333ZA Leiden, The Netherlands.ORCID 0000-0002-3187-1752
Roel BijkerkDepartment of Internal Medicine-Nephrology, Leiden University Medical Center, 2333ZA Leiden, The Netherlands.ORCID 0000-0002-6438-4133
Franck LebrinDepartment of Internal Medicine-Nephrology, Leiden University Medical Center, 2333ZA Leiden, The Netherlands.ORCID 0000-0002-1650-6757
Ton J RabelinkDepartment of Internal Medicine-Nephrology, Leiden University Medical Center, 2333ZA Leiden, The Netherlands.
Leiden University Medical Center · NLCentre National de la Recherche Scientifique · FR

Funding

H2020 Marie Skłodowska-Curie Actions 813839
6 · The paper itself

Abstract

Renal microvascular rarefaction plays a pivotal role in progressive kidney disease. Therefore, modalities to visualize the microcirculation of the kidney will increase our understanding of disease mechanisms and consequently may provide new approaches for evaluating cell-based therapy. At the moment, however, clinical practice is lacking non-invasive, safe, and efficient imaging modalities to monitor renal microvascular changes over time in patients suffering from renal disease. To emphasize the importance, we summarize current knowledge of the renal microcirculation and discussed the involvement in progressive kidney disease. Moreover, an overview of available imaging techniques to uncover renal microvascular morphology, function, and behavior is presented with the associated benefits and limitations. Ultimately, the necessity to assess and investigate renal disease based on in vivo readouts with a resolution up to capillary level may provide a paradigm shift for diagnosis and therapy in the field of nephrology.

Indexed as

MicrocirculationCapillariesCell- and Tissue-Based TherapyDiagnostic ImagingDisease ProgressionEndothelium, VascularFibroblastsHumansKidneyKidney DiseasesMagnetic Resonance ImagingPericytesSignal TransductionUltrasonographyX-Ray Microtomographycell therapyimagingkidneymicrocirculationmicrovascular rarefaction

Identifiers

PMID34063200
PMCPMC8147454
OpenAlexW3157309765

What Socratic 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 Socratic graph.