Article in bioRxiv : the preprint server for biology, 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.
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
15 authors.
Shafquat AzimSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0000-0002-2396-7738
Thomas RousselleSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.
Haseeb ZubairSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0000-0002-2340-592X
Amol C ShettyInstitute for Genome Sciences, School of Medicine, University of Maryland School; Baltimore, MD 21201, USA.ORCID 0000-0001-8790-7649
Kellie J ArcherDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0003-1555-5781
Juliana N MarshallSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0009-0003-6541-3180
Ali RajabiSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.
Caroline M LaraSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0000-0003-1674-9078
Sadia MustofaMontefiore Einstein Center for Transplantation, Montefiore Medical Center, Albert Einstein College of Medicine; Bronx, NY, USA.
Cinthia DrachenbergDepartment of Pathology, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0000-0002-3104-5661
Jonathan BrombergDepartment of Surgery, School of Medicine, University of Maryland; 29S Greene St, Baltimore, MD 21201, USA.
Madhav MenonNephrology, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA.ORCID 0000-0002-9567-4299
Daniel G MalufDepartment of Pathology, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.ORCID 0000-0002-5921-4834
Enver AkalinMontefiore Einstein Center for Transplantation, Montefiore Medical Center, Albert Einstein College of Medicine; Bronx, NY, USA.ORCID 0000-0003-1341-5144
Valeria R MasSurgical Sciences Division, Department of Surgery, School of Medicine, University of Maryland; Baltimore, MD 21201, USA.
Funding
Assessment of Donor Quality for Improving Kidney Transplant OutcomesR01DK109581 · NIDDK · UNIVERSITY OF VIRGINIA · PI Kellie J. Archer, Valeria Raquel Mas · 2017 to 2026
$4.0M
Dissecting the role of dynamic epigenome prompting pathways leading to kidney allograft fibrosisR01DK122682 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MAS, VALERIA RAQUEL · 2019 to 2023
$3.6M
Pretransplant comprehensive scores to predict long term graft outcomesR21AI172077 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI ARCHER, KELLIE J., MAS, VALERIA RAQUEL · 2023 to 2024
$440k
Molecular biomarkers associated with calcineurin inhibitor mediated kidney injuryR21DK100678 · NIDDK · UNIVERSITY OF VIRGINIA · PI MALUF, DANIEL GERMAN · 2014 to 2015
Acute kidney injury (AKI) is a major cause of early graft dysfunction after kidney transplantation, particularly in recipients of high-risk donor kidneys prone to ischemia-reperfusion injury. However, the cellular mechanisms dictating whether injury resolves or progresses to fibrosis remain unclear. This study combines single-nucleus RNA sequencing and imaging mass cytometry (IMC) analysis of human kidney allograft biopsies collected within eight weeks posttransplant, stratified by long-term functional outcomes. Grafts that recovered function were enriched in regenerative proximal tubular (PT) cells co-expressing
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.
Epithelial-Immune-Stromal Interactions Define Divergent Repair and Fibrosis Pathways After Acute Kidney Injury in Human Renal Transplants. · full record | OpenQuestion