Evidence map›Paper›PMID 26895217›Full record

ArticleTransplantation2016

The Noninvasive Urinary Polyomavirus Haufen Test Predicts BK Virus Nephropathy in Children After Hematopoietic Cell Transplantation: A Pilot Study.

Benjamin L Laskin, Harsharan K Singh, Ulf H Beier, Taylor Moatz, Susan L Furth, Nancy Bunin, David Witte, Jens Goebel, Stella M Davies, Christopher Dandoy and 2 more

Open access · greenAbstract read
In one paragraph

Article in Transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Review
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 at 2 institutions in 2 countries.

Benjamin L Laskin1 Division of Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA. 2 Division of Nephropathology, Department of Pathology and Laboratory Medicine, The University of North Carolina School of Medicine, Chapel Hill, NC. 3 Divsion of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA. 4 Division of Pathology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. 5 Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH. 6 Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Harsharan K Singh
Ulf H Beier
Taylor Moatz
Susan L Furth
Nancy Bunin
David Witte
Jens Goebel
Stella M Davies
Christopher Dandoy
Sonata Jodele
Volker Nickeleit
Apple (Israel) · ILCincinnati Children's Hospital Medical Center · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Patient Oriented Research in Pediatric Kidney DiseaseK24DK078737 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI FURTH, SUSAN L. · 2007 to 2016
$1.6M
Immune dysregulation and kidney disease after hematopoietic cell transplantK23DK101600 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI LASKIN, BENJAMIN LEWIS · 2015 to 2018
$715k
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR001425NCATS NIH HHS UL1 TR001878NIDDK NIH HHS K23 DK101600NIDDK NIH HHS K24 DK078737
6 · The paper itself

Abstract

backgroundAfter hematopoietic cell transplantation (HCT), polyoma-BK virus is associated with hemorrhagic cystitis and also with polyomavirus nephropathy (PVN). However, the true burden of post-HCT PVN is unknown because kidney biopsies are avoided due to their bleeding risk. The novel, noninvasive urinary PV-Haufen test detects PVN in kidney transplant recipients with greater than 95% positive/negative predictive values. We hypothesized that the detection of PV-Haufen in voided urine samples-a positive PV-Haufen test-was also clinically significant after HCT.

methodsWe examined 21 suitable urine samples from 14 patients (median age, 15 years; 71.4% male) who were selected from repositories for having varying degrees of BK viremia (range, 0-1.0 × 10 copies/mL), hemorrhagic cystitis (present/absent), and data on kidney function. Urine samples were obtained at a median of 88 days post-HCT.

resultsThe PV-Haufen were detected in 5 of 14 patients (35.7%) and 7 of 21 (33.3%) urine samples, with histologic confirmation of PVN in 1 autopsy specimen. After a median of 285 days post-HCT, patients with PV-Haufen had an increased risk of dialysis-dependent renal failure (P < 0.05). All 3 dialysis-dependent patients had PV-Haufen and died. The presence of urinary PV-Haufen was not significantly correlated with hemorrhagic cystitis. From the 16 urines collected during BK viremia, 43.8% were PV-Haufen-positive, and 56.2% were negative. The PV-Haufen were not present in the 5 urines from patients without concomitant BK-viremia.

conclusionsIn this proof-of-concept study, a positive PV-Haufen test was only seen in some patients with BK viremia and was not associated with hemorrhagic cystitis. The detection of PV-Haufen suggests underlying PVN with an increased risk of kidney failure and dialysis.

Indexed as

Virus SheddingAdolescentAdultBK VirusCase-Control StudiesChildFemaleHematopoietic Stem Cell TransplantationHumansKidney DiseasesMalePilot ProjectsPolyomavirus InfectionsTumor Virus Infections

Identifiers

PMID26895217
PMCPMC4990513
OpenAlexW2326882190

What OpenQuestion 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 OpenQuestion graph.