Evidence map›Paper›PMID 18057128›Full record

ArticleJournal of clinical microbiology2008

Prediction of cytomegalovirus (CMV) plasma load from evaluation of CMV whole-blood load in samples from renal transplant recipients.

Isabelle Garrigue, Adélaïde Doussau, Julien Asselineau, Hélène Bricout, Lionel Couzi, Catherine Rio, Pierre Merville, Hervé Fleury, Marie-Edith Lafon, Rodolphe Thiébaut

Abstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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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

10 authors.

Isabelle GarrigueUniversité Victor Segalen Bordeaux 2, Laboratoire de Virologie EA2968, 146 rue Léo Saignat, 33 076 Bordeaux Cédex, France. isabelle.garrigue@chu-bordeaux.fr
Adélaïde Doussau
Julien Asselineau
Hélène Bricout
Lionel Couzi
Catherine Rio
Pierre Merville
Hervé Fleury
Marie-Edith Lafon
Rodolphe Thiébaut

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a prospective cohort of 82 renal transplant recipients, we evaluated the capacity of the cytomegalovirus (CMV) load in whole blood (WB) to predict the plasma CMV load, aiming to identify active CMV infections by using WB samples only and to deduce a WB threshold. Using quantitative real-time PCR, a total of 1,474 WB samples were assayed, of which 279 were positive for CMV, and 140 out of the 276 paired plasma samples tested positive. Thirty (36.6%) patients presented with at least one positive plasma PCR result, and 21 infection episodes (19 patients) required curative treatment (median follow-up time, 12 months). When the plasma CMV load was >500 copies/ml (n = 70), more than 94% (95% confidence interval, 86.0%, 98.4%) of WB samples had >500 copies/ml. Two prediction models were built: log(10) plasma viral load (VL) was calculated as -0.3777 + 0.9342 x log(10) WB VL and as -0.3777 + 0.8563 x log(10) WB VL for patients with and without treatment, respectively. In the validation sample (578 routine samples), 77.2% of the observed and expected plasma viral loads were concordant (95% confidence intervals, 73.5 and 80.5%). According to the model, the plasma viral load was >500 copies/ml when the WB load was >3,170 or >4,000 copies/ml in patients with or without treatment, respectively. WB seems to be an appropriate candidate for routine CMV monitoring of transplant recipients by using a single assay.

Indexed as

Kidney TransplantationAdultBloodCohort StudiesCytomegalovirusCytomegalovirus InfectionsFemaleHumansImmunosuppressive AgentsMaleMiddle AgedPlasmaPolymerase Chain ReactionProspective StudiesViral LoadImmunosuppressive Agents

Identifiers

PMID18057128
PMCPMC2238080

What OpenQuestion holds

Textmetadata
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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.