Evidence map›Paper›PMID 31983353›Full record

ReviewJournal of developmental origins of health and disease2021

New imaging tools to measure nephron number

K M Bennett, E J Baldelomar, D Morozov, R L Chevalier, J R Charlton

Open access · greenAbstract readReview
In one paragraph

Review in Journal of developmental origins of health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Mapping kidney tubule diameter ex vivo by diffusion MRI.American journal of physiology. Renal physiology · 2021
    Article
  7. Review
  8. Review
  9. Review
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.

K M BennettDepartment of Radiology, Washington University, Saint Louis, MO, USA.ORCID 0000-0003-1706-4660
E J BaldelomarDepartment of Radiology, Washington University, Saint Louis, MO, USA.
D MorozovDepartment of Radiology, Washington University, Saint Louis, MO, USA.
R L ChevalierDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
J R CharltonDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
Washington University in St. Louis · USUniversity of Virginia · US

Funding

Comprehensive MRI-based evaluation of human renal microstructureR01DK111861 · NIDDK · UNIVERSITY OF VIRGINIA · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2020
$1.8M
Noninvasive MRI techniques to detect pathology in murine models of renal diseaseR01DK110622 · NIDDK · WASHINGTON UNIVERSITY · PI BENNETT, KEVIN M, CHARLTON, JENNIFER R · 2017 to 2019
$1.0M
NIDDK NIH HHS R01 DK110622NIDDK NIH HHS R01 DK111861
6 · The paper itself

Abstract

The mammalian kidney is a complex organ, requiring the concerted function of up to millions of nephrons. The number of nephrons is constant after nephrogenesis during development, and nephron loss over a life span can lead to susceptibility to acute or chronic kidney disease. New technologies are under development to count individual nephrons in the kidney in vivo. This review outlines these technologies and highlights their relevance to studies of human renal development and disease.

Indexed as

OrganogenesisAnimalsBiomedical ResearchDiagnostic ImagingHumansKidney DiseasesNephronsCFE-MRIglomerulusimagingkidney developmentmagnetic resonance imagingnephron number

Identifiers

PMID31983353
PMCPMC8765346
OpenAlexW3003505708

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.