Evidence map›Paper›PMID 35309912›Full record

ReviewFrontiers in cell and developmental biology2022

Studying Kidney Diseases Using Organoid Models.

Meng Liu, Angelysia Cardilla, Joanne Ngeow, Ximing Gong, Yun Xia

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Organoid Tracker: A SAM2-Powered Platform for Zero-shot Cyst Analysis in Human Kidney Organoid Videos.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Harnessing mechanobiology for kidney organoid research.Frontiers in cell and developmental biology · 2023
    Review
  15. Review
  16. Article
  17. 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

5 authors at 1 institution in 1 country.

Meng LiuLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Angelysia CardillaLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Joanne NgeowLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Ximing GongLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Yun XiaLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Nanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of chronic kidney disease (CKD) is rapidly increasing over the last few decades, owing to the global increase in diabetes, and cardiovascular diseases. Dialysis greatly compromises the life quality of patients, while demand for transplantable kidney cannot be met, underscoring the need to develop novel therapeutic approaches to stop or reverse CKD progression. Our understanding of kidney disease is primarily derived from studies using animal models and cell culture. While cross-species differences made it challenging to fully translate findings from animal models into clinical practice, primary patient cells quickly lose the original phenotypes during

Indexed as

differentiationdisease modellingiPSCkidney diseasekidney organoidPKDtubuloidtumoroid

Identifiers

PMID35309912
PMCPMC8927804
OpenAlexW4214937833

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.