Evidence map›Paper›PMID 39835184›Full record

ArticleIJID regions2025

Comparison of the Abbott Alinity m and Qiagen Artus assays for the quantification of BK virus in clinical samples.

Honorine Fenaux, Eric Marchadier, Alexandra Champagne, Corinne Prégermain, Lina Mouna

Abstract read
In one paragraph

Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Honorine FenauxVirology Department, Hôpital Paul Brousse, INSERM U1193, AP-HP, Université Paris Saclay, Paris, France.
Eric MarchadierVirology Department, Hôpital Paul Brousse, INSERM U1193, AP-HP, Université Paris Saclay, Paris, France.
Alexandra ChampagneVirology Department, Hôpital Paul Brousse, INSERM U1193, AP-HP, Université Paris Saclay, Paris, France.
Corinne PrégermainVirology Department, Hôpital Paul Brousse, INSERM U1193, AP-HP, Université Paris Saclay, Paris, France.
Lina MounaVirology Department, Hôpital Paul Brousse, INSERM U1193, AP-HP, Université Paris Saclay, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: BK virus (BKV) is highly seroprevalent in humans. After primary infection, it remains latent in the urinary tract and can reactivate in immunocompromised individuals, leading to interstitial nephropathy or hemorrhagic cystitis. The BKV viral load (VL) in plasma correlates with the occurrence of nephropathy and can be monitored in kidney graft recipients; the early detection of BKV viremia can enable an early reduction of immunosuppressant drug doses and the prevention of BKV-associated nephropathy. BKV VL is measured using real-time reverse transcription-polymerase chain reaction. Our aim was to evaluate the Abbott Alinity m BKV AMPL kit versus the Artus BKV quantification kit (Qiagen, Hilden, Germany). Methods: We compared the methods on 69 plasma samples, 54 urine samples, and 12 external quality control samples. To assess analytical sensitivity, serial dilutions of internal control were also tested. Results: Specificity reached 100%. Fifty-seven of the 59 plasma samples were found to be positive (sensitivity: 96.6%), as were 46 of the 48 urine samples (sensitivity: 95.8%). In quantifiable samples, the VL was correlated with the findings on plasma (r = 0.965) and urine samples (r = 0.971). The mean differences were 0.78 log Conclusions: The Alinity m BKV AMPL kit is compatible with diagnostic use and can be used in a "random-access" manner, thus reducing the time between sampling and the results being available to clinicians.

Indexed as

Alinity mBK virusInterstitial nephropathyKidney transplant recipientsViral load

Identifiers

PMID39835184
PMCPMC11745809

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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.