Evidence map›Paper›PMID 41218715›Full record

ArticleTransplantation and cellular therapy2026

Kidney Function after Hematopoietic Cell Transplantation with Orca-T, Cyclophosphamide, or Methotrexate Graft-Versus-Host Disease Prophylaxis: A Single-Center Retrospective Study.

Susan Ziolkowski, Alejandro Villar-Prados, Gomathy Parvathinathan, Nneayo Okabuonye, Siddhartha Thammineni Reddy, Laura Johnston, Sally Arai, Margaret Stedman, Shuchi Anand, Everett Meyer

Abstract read
In one paragraph

Article in Transplantation and cellular therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Susan ZiolkowskiDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, California. Electronic address: sziolkow@stanford.edu.
Alejandro Villar-PradosDepartment of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, California.
Gomathy ParvathinathanDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, California.
Nneayo OkabuonyeDepartment of Engineering Science, Vanderbilt University, Nashville, Tennessee.
Siddhartha Thammineni ReddyDepartment of Medicine, Stem Cell Transplantation and Cellular Therapy Program, Hackensack University Medical Center, Hackensack, New Jersey.
Laura JohnstonDepartment of Medicine, Division of Blood and Marrow Transplant and Cellular Therapy, Stanford University School of Medicine, Stanford, California.
Sally AraiDepartment of Medicine, Division of Blood and Marrow Transplant and Cellular Therapy, Stanford University School of Medicine, Stanford, California.
Margaret StedmanDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, California.
Shuchi AnandDepartment of Medicine, Division of Nephrology, Stanford University School of Medicine, Stanford, California.
Everett MeyerDepartment of Medicine, Division of Blood and Marrow Transplant and Cellular Therapy, Stanford University School of Medicine, Stanford, California.

Funding

Integrating machine learning to improve kidney disease risk assessment for patients on cancer therapyK23DK141988 · NIDDK · STANFORD UNIVERSITY · PI Susan Ziolkowski · 2025 to 2026
$384k
NIDDK NIH HHS K23 DK141988
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Allogeneic hematopoietic cell transplantationGvHDKidney functionMethotrexateOrca-TPTCy

Identifiers

PMID41218715
PMCPMC12965131

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.