Evidence map›Paper›PMID 26985385›Full record

ReviewClinical kidney journal2016

BK polyoma virus infection and renal disease in non-renal solid organ transplantation.

Sarat Kuppachi, Deepkamal Kaur, Danniele G Holanda, Christie P Thomas

Open access · goldAbstract readReview
In one paragraph

Review in Clinical kidney journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Native kidney BK virus nephropathy, a systematic review.Transplant infectious disease : an official journal of the Transplantation Society · 2019
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Polyoma virus nephropathy in kidney transplantation.World journal of transplantation · 2017
    Review
  11. 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

4 authors at 2 institutions in 1 country.

Sarat KuppachiDepartment of Internal Medicine , University of Iowa, Carver College of Medicine , Iowa City, IA , USA.
Deepkamal KaurDepartment of Internal Medicine , University of Iowa, Carver College of Medicine , Iowa City, IA , USA.
Danniele G HolandaDepartment of Pathology , University of Iowa, Carver College of Medicine , Iowa City, IA , USA.
Christie P ThomasDepartment of Internal Medicine, University of Iowa, Carver College of Medicine, Iowa City, IA, USA; VA Medical Center, Iowa City, IA, USA.
University of Iowa · USIowa City VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BK virus (BKV) is a non-enveloped DNA virus of the polyomaviridae family that causes an interstitial nephritis in immunosuppressed patients. BKV nephropathy is now a leading cause of chronic kidney disease and early allograft failure following kidney transplantation. It is also known to cause renal disease with a progressive decline in kidney function in non-renal solid organ transplant (NRSOT) recipients, although the disease may not be recognized nor its impact appreciated in this patient population. In this report, we review the existing literature to highlight our current understanding of its incidence in NRSOT populations, the approaches to diagnosis and the potential treatment options.

Indexed as

BK polyoma virusimmunosuppression complicationinterstitial nephritisnon-renal solid organ transplantation

Identifiers

PMID26985385
PMCPMC4792618
OpenAlexW2208955357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.