Evidence map›Paper›PMID 39860449›Full record

ArticleJournal of clinical medicine2025

Model-Assisted Spleen Contouring for Assessing Splenomegaly in Myelofibrosis: A Fast and Reproducible Approach to Evaluate Progression and Treatment Response.

Arman Sharbatdaran, Téa Cohen, Hreedi Dev, Usama Sattar, Vahid Bazojoo, Yin Wang, Zhongxiu Hu, Chenglin Zhu, Xinzi He, Dominick Romano and 2 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Arman SharbatdaranDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0000-0002-7097-0032
Téa CohenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.
Hreedi DevDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0000-0002-5341-8350
Usama SattarDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0009-0005-0114-3235
Vahid BazojooDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.
Yin WangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.
Zhongxiu HuDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0009-0009-9258-5459
Chenglin ZhuDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0009-0003-6662-4908
Xinzi HeDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.
Dominick RomanoDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0000-0002-8691-406X
Joseph M ScanduraRichard T. Silver Myeloproliferative Neoplasms Center, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-9525-143X
Martin R PrinceDepartment of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.ORCID 0000-0002-9883-0584

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
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384Shaw Foundation na
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinical trialsdeep learningdisease progressionmodel-assisted contouringmyelofibrosisreliablereproduciblespleen volume reductionsplenomegalytreatment response

Identifiers

PMID39860449
PMCPMC11766003

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.