Evidence map›Paper›PMID 32309382›Full record

ArticleAnnals of translational medicine2020

Non-invasive urinary sediment double-immunostaining predicts BK polyomavirus associated-nephropathy in kidney transplant recipients.

Xu-Tao Chen, Wen-Fang Chen, Xiao-Tao Hou, Shi-Cong Yang, Hui-Fei Yang, Jun Li, Rong-Hai Deng, Yang Huang, Yelidana Nuertai, Chang-Xi Wang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Urinary VP1 Flow Cytometry as a Complementary Approach for BK Polyomavirus Monitoring: A Proof-Of-Concept Study.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Observational
  2. Acute Kidney Injury and BK Polyomavirus in Urine Sediment Cells.International journal of molecular sciences · 2023
    Article
  3. Article
  4. BK polyomavirus: latency, reactivation, diseases and tumorigenesis.Frontiers in cellular and infection microbiology · 2023
    Review
  5. 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 at 4 institutions in 1 country.

Xu-Tao ChenDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Wen-Fang ChenDepartment of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Xiao-Tao HouGuangzhou KingMed Center for Clinical Laboratory Co, Ltd, Guangzhou International Biotech Island, Guangzhou 510005, China.
Shi-Cong YangDepartment of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Hui-Fei YangFuda Cancer Hospital · Jinan University, Fuda Cancer Hospital, Guangzhou 510640, China.
Jun LiDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Rong-Hai DengDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Yang HuangDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Yelidana NuertaiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Chang-Xi WangDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Jiang QiuDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Gang HuangDepartment of Organ Transplantation, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNFuda Cancer Hospital · CNKingmed Diagnostics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe positive predictive value (PPV) of urinary decoy cells for diagnosing BK polyomavirus associated-nephropathy (BKPyVAN) is low. This study was designed to increase the PPV of urinary decoy cells for diagnosing BKPyVAN in kidney transplant recipients.

methodsA total of 105 urine sediment samples from 105 patients with positive BK viruria and decoy cells were evaluated by automatic double-immunostaining with anti-HGD (a renal tubular marker) antibody + anti-SV40-T antibody or anti-S100P (an urothelial marker) antibody + anti-SV40-T antibody.

resultsOf the 105 patients, 76 (72.4%) had both HGD(+)/SV40-T(+) cells and S100P(+)/SV40-T(+) cells (group A), 24 (22.9%) had only S100P(+)/SV40-T(+) cells (group B), and 5 (4.6%) had only S100P(-)/HGD(-)/SV40-T(+) cells (group C). Seventy patients in group A (92.1%), 3 patients in group B (12.5%), and no patients in group C were diagnosed with BKPyVAN. The area under the ROC curve of predicting BKPyVAN by decoy cells was 0.531 (0.431-0.630), with an optimal cut-off value of 29 (per 10 high power field), a sensitivity of 45.8% (95% CI: 34.0-58.0%), and a specificity of 68.8% (95% CI: 50.0-83.9%). Besides, the area under the ROC curve of predicting BKPyVAN by plasma BKPyV load was 0.735 (95% CI: 0.632-0.822), with an optimal cut-off value of 1,000 copies/mL, a sensitivity of 61.1% (95% CI: 48.9-72.4%) and a specificity of 84.2% (95% CI: 60.4-96.6%). In contrast, the PPV, negative predictive value, sensitivity, and specificity of HGD(+)/SV40-T(+) cells for diagnosing BKPyVAN were 92.1% [95% confidence interval (CI): 83.0-96.7%], 89.7% (95% CI: 71.5-97.3%), 95.9% (95% CI: 87.7-98.9%), and 81.3% (95% CI: 63.0-92.1%) respectively.

conclusionsDouble-immunostaining with anti-HGD or anti-S100P and anti-SV40-T antibodies helps to identify the origin of decoy cells and diagnose BKPyVAN.

Indexed as

BK polyomavirusBKPyVANdecoy cellsdouble-immunostainingkidney transplantation

Identifiers

PMID32309382
PMCPMC7154489
OpenAlexW3007703790

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.