Evidence map›Paper›PMID 40094908›Full record

ArticleJournal of clinical medicine2025

The Role of Baseline Total Kidney Volume Growth Rate in Predicting Tolvaptan Efficacy for ADPKD Patients: A Feasibility Study.

Hreedi Dev, Zhongxiu Hu, Jon D Blumenfeld, Arman Sharbatdaran, Yelynn Kim, Chenglin Zhu, Daniil Shimonov, James M Chevalier, Stephanie Donahue, Alan Wu and 3 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Reporting ADPK Disease Phenotypes on Abdominal Scans.Kidney international reports · 2025
    Article
  3. AI in Medical Imaging and Image Processing.Journal of clinical medicine · 2025
    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

13 authors.

Hreedi DevDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-5341-8350
Zhongxiu HuDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0009-0009-9258-5459
Jon D BlumenfeldRogosin Institute, New York, NY 10021, USA.
Arman SharbatdaranDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-7097-0032
Yelynn KimDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.
Chenglin ZhuDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0009-0003-6662-4908
Daniil ShimonovRogosin Institute, New York, NY 10021, USA.ORCID 0000-0002-0252-6474
James M ChevalierRogosin Institute, New York, NY 10021, USA.ORCID 0000-0002-1376-4099
Stephanie DonahueRogosin Institute, New York, NY 10021, USA.
Alan WuDivision of Biostatistics, Department of Population Health, Weill Cornell Medicine, New York, NY 10021, USA.
Arindam RoyChoudhuryDivision of Biostatistics, Department of Population Health, Weill Cornell Medicine, New York, NY 10021, USA.
Xinzi HeDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.
Martin R PrinceDepartment of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0002-9883-0584

Funding

Shaw Foundation na
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ADPKDartificial intelligencedeep learningMayo imaging classificationMRItolvaptantotal kidney volumetreatment responseurine osmolalityvasopressin

Identifiers

PMID40094908
PMCPMC11899928

What OpenQuestion holds

Textmetadata
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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.