Evidence map›Paper›PMID 38877066›Full record

ArticleScientific reports2024

Improved predictions of total kidney volume growth rate in ADPKD using two-parameter least squares fitting.

Zhongxiu Hu, Arman Sharbatdaran, Xinzi He, Chenglin Zhu, Jon D Blumenfeld, Hanna Rennert, Zhengmao Zhang, Andrew Ramnauth, Daniil Shimonov, James M Chevalier and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Reporting ADPK Disease Phenotypes on Abdominal Scans.Kidney international reports · 2025
    Article
  4. Article
  5. Article
  6. 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

11 authors.

Zhongxiu HuDepartment of Radiology, Weill Cornell Medicine, New York, 10022, USA.
Arman SharbatdaranDepartment of Radiology, Weill Cornell Medicine, New York, 10022, USA.
Xinzi HeDepartment of Radiology, Weill Cornell Medicine, New York, 10022, USA.
Chenglin ZhuDepartment of Radiology, Weill Cornell Medicine, New York, 10022, USA.
Jon D BlumenfeldThe Rogosin Institute, New York, 10021, USA.
Hanna RennertDepartment of Medicine, Weill Cornell Medicine, New York, 10021, USA.
Zhengmao ZhangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, 10065, USA.
Andrew RamnauthDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, 10065, USA.
Daniil ShimonovThe Rogosin Institute, New York, 10021, USA.
James M ChevalierThe Rogosin Institute, New York, 10021, USA.
Martin R PrinceDepartment of Radiology, Weill Cornell Medicine, New York, 10022, USA. map2008@med.cornell.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
National Institute of Health, United States UL1TR002384NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384
6 · The paper itself

Abstract

Mayo Imaging Classification (MIC) for predicting future kidney growth in autosomal dominant polycystic kidney disease (ADPKD) patients is calculated from a single MRI/CT scan assuming exponential kidney volume growth and height-adjusted total kidney volume at birth to be 150 mL/m. However, when multiple scans are available, how this information should be combined to improve prediction accuracy is unclear. Herein, we studied ADPKD subjects (

Indexed as

KidneyMagnetic Resonance ImagingPolycystic Kidney, Autosomal DominantAdultFemaleHumansLeast-Squares AnalysisMaleMiddle AgedOrgan SizeTomography, X-Ray Computed

Identifiers

PMID38877066
PMCPMC11178802

What OpenQuestion holds

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Registered trials

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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.