Evidence map›Paper›PMID 32450055›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Cost minimization analysis of an in-house molecular test for cytomegalovirus in relation to a commercial molecular system.

Cássia F B Caurio, Odelta S Allende, Roger Kist, Izadora C S Vasconcellos, Francieli P Rozales, Maikel Reck-Kortmann, Daiane F Dalla Lana, Ana Paula Alegretti, Giácomo B Neto, Alessandro C Pasqualotto

Open access · goldAbstract read
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 4 institutions in 1 country.

Cássia F B CaurioSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil.
Odelta S AllendeSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil.
Roger KistSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil.
Izadora C S VasconcellosSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil.
Francieli P RozalesSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil.
Maikel Reck-KortmannSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil.
Daiane F Dalla LanaUniversidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil.
Ana Paula AlegrettiHospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Giácomo B NetoUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Alessandro C PasqualottoSanta Casa de Misericórdia de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil. Electronic address: pasqualotto@ufcspa.edu.br.
Universidade Federal de Ciências da Saúde de Porto Alegre · BRSanta Casa de Misericórdia de Marília · BRHospital de Clínicas de Porto Alegre · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCytomegalovirus may cause severe disease in immunocompromised patients. Nowadays, quantitative polymerase chain reaction is the gold-standard for both diagnosis and monitoring of cytomegalovirus infection. Most of these assays use cytomegalovirus automated molecular kits which are expensive and therefore not an option for small laboratories, particularly in the developing world.

objectiveThis study aimed to optimize and validate an in-house cytomegalovirus quantitative polymerase chain reaction test calibrated using the World Health Organization Standards, and to perform a cost-minimization analysis, in comparison to a commercial cytomegalovirus quantitative polymerase chain reaction test. STUDY

designThe methodology consisted of determining: optimization, analytical sensitivity, analytical specificity, precision, curve variability analysis, and inter-laboratorial reproducibility. Patients (n=30) with known results for cytomegalovirus tested with m2000 RealTime System (Abbott Laboratories, BR) were tested with the in-house assay, as well as patients infected with other human herpes virus, in addition to BK virus. A cost-minimization analysis was performed, from a perspective of the laboratory, assuming diagnostic equivalence of the methodologies applied in the study.

resultsThe in-house assay had a limit of detection and quantification of 60.3IU/mL, with no cross-reactivity with the other viral agents tested. Moreover, the test was precise and had a R

conclusionsThese results demonstrated that in-house quantitative polymerase chain reaction testing is an attractive alternative in comparison to automated molecular platforms, being considerably less expensive and as efficacious as the commercial methods.

Indexed as

CytomegalovirusReagent Kits, DiagnosticCosts and Cost AnalysisCytomegalovirus InfectionsDNA, ViralHumansReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityViral LoadDNA, ViralReagent Kits, Diagnostic1st WHO International Standard for Human CytomegalovirusCost-minimization analysisCytomegalovirusIn-house assayqPCRStandardization

Identifiers

PMID32450055
PMCPMC9392125
OpenAlexW3026951823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.