Evidence map›Paper›PMID 36766507›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Changes in CT-Based Morphological Features of the Kidney with Declining Glomerular Filtration Rate in Chronic Kidney Disease.

Yoon Ho Choi, Seongho Jo, Ro Woon Lee, Ji-Eun Kim, Jin Hyuk Paek, Byoungje Kim, Soo-Yong Shin, Seun Deuk Hwang, Seoung Woo Lee, Joon Ho Song and 1 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
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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

11 authors.

Yoon Ho ChoiDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0001-6831-4450
Seongho JoDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.
Ro Woon LeeDepartment of Radiology, Inha University College of Medicine, Incheon 22332, Republic of Korea.ORCID 0000-0002-8678-8059
Ji-Eun KimDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.
Jin Hyuk PaekDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.
Byoungje KimDepartment of Radiology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.
Soo-Yong ShinDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul 06355, Republic of Korea.ORCID 0000-0002-2410-6120
Seun Deuk HwangDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.
Seoung Woo LeeDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.
Joon Ho SongDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.ORCID 0000-0003-1979-4245
Kipyo KimDivision of Nephrology and Hypertension, Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon 22332, Republic of Korea.

Funding

INHA UNIVERSITY HOSPITAL INHA UNIVERSITY HOSPITAL Research Grant
6 · The paper itself

Abstract

Chronic kidney disease (CKD) progression involves morphological changes in the kidney, such as decreased length and thickness, with associated histopathological alterations. However, the relationship between morphological changes in the kidneys and glomerular filtration rate (GFR) has not been quantitatively and comprehensively evaluated. We evaluated the three-dimensional size and shape of the kidney using computed tomography (CT)-derived features in relation to kidney function. We included 257 patients aged ≥18 years who underwent non-contrast abdominal CT at the Inha University Hospital. The features were quantified using predefined algorithms in the pyRadiomics package after kidney segmentation. All features, except for flatness, significantly correlated with estimated GFR (eGFR). The surface-area-to-volume ratio (SVR) showed the strongest negative correlation (r = -0.75,

Indexed as

chronic kidney diseaseglomerular filtration ratekidney shaperadiomics

Identifiers

PMID36766507
PMCPMC9914455

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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.