Evidence map›Paper›PMID 33145985›Full record

ArticleImmunity, inflammation and disease2021

Plasma cytomegalovirus DNA load predicts outcomes in liver transplant recipients.

Hao-Chien Hung, Po-Jung Hsu, Jin-Chiao Lee, Yu-Chao Wang, Chih-Hsien Cheng, Tsung-Han Wu, Ting-Jung Wu, Hong-Shiue Chou, Kun-Ming Chan, Wei-Chen Lee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2021. 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 30% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Post-Transplantation Cytomegalovirus Infection Interplays With the Development of Anastomotic Biliary Strictures After Liver Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  4. Article
  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

11 authors at 2 institutions in 1 country.

Hao-Chien HungDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Po-Jung HsuDepartment of General Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Jin-Chiao LeeDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Yu-Chao WangDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Chih-Hsien ChengDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Tsung-Han WuDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Ting-Jung WuDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Hong-Shiue ChouDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Kun-Ming ChanDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Wei-Chen LeeDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Chen-Fang LeeDepartment of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.ORCID 0000-0001-6292-7694
Chang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCytomegalovirus (CMV) infection has a significant negative impact on liver transplant (LT) recipients. We aimed to evaluate the efficacy of real-time DNA quantitative polymerase chain reaction (qPCR) in the early detection of CMV and predicting post-transplant outcomes. MATERIALS AND

methodsThis was a retrospective study that enrolled a total of 49 adult LT recipients between December 2016 and October 2019. Serial CMV qPCR were tested weekly. We used operating characteristic curve analysis to quantify qPCR replication numbers to decide the optimal threshold to predict posttransplant complications and overall survival.

resultsThe optimal cut-off value of 180 copies/ml (=164 IU/ml) was determined. We had 40 patients in the low qPCR group (<180 copies/ml) and nine patients in the high qPCR group (≥180 copies/ml). Higher qPCR was associated with more severe CMV disease, early allograft dysfunction, major posttransplant complications, longer ICU stays, and lower 2-year overall survival (OS; all p < .05). In the univariate logistic regression model, persistent DNAemia ≥ 4 weeks after anti-CMV treatment, coexisted bacterial and/or fungal infection, and high CMV qPCR ≥ 180 copies/ml with p < .100. High CMV qPCR ≥ 180 copies/ml (p = .016; hazard ratio [HR] = 19.5; 95% confidence interval [CI] = 1.73-219.49) remained to be the only independent risk factors for major complication by the multivariate analysis. The overall 2-year OS rates were 92.5% and 66.7% in the low and the high qPCR group, respectively (p = .030).

conclusionOur findings support evidence that qPCR is effective in detecting CMV infection provides an objective perspective in predicting posttransplant outcomes. High plasma CMV DNA load (defined as CMV qPCR ≥ 180 copies/ml or 164 IU/ml) not only indicates a hazard in developing major posttransplant complications but also associates with prolonged and refractory treatment courses.

Indexed as

Cytomegalovirus InfectionsLiver TransplantationAdultCytomegalovirusDNA, ViralHumansRetrospective StudiesDNA, Viralcytomegalovirusliver transplantoutcomereal-time qPCRviral load

Identifiers

PMID33145985
PMCPMC7860522
OpenAlexW3095866276

What OpenQuestion holds

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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.