Evidence map›Paper›PMID 35700658›Full record

ArticleDiagnostic microbiology and infectious disease2022

A rapid and cost-effective diagnostic algorithm for the detection of SARS-CoV-2 infection in the emergency area by combining highly sensitive antigenic test and RT-PCR.

Sara Salvetti, Federica Lavinia, Nico Rosi, Simone Vanni, Luca Masotti, Roberto Tarquini, Silvia Guarducci, Gian Maria Rossolini, Iolanda Montenora

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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

9 authors at 2 institutions in 1 country.

Sara SalvettiMicrobiology Unit, San Giuseppe Hospital, Empoli, FI, Italy. Electronic address: sara.salvetti@uslcentro.toscana.it.
Federica LaviniaMicrobiology Unit, San Giuseppe Hospital, Empoli, FI, Italy.
Nico RosiEmergency Department, San Giuseppe Hospital, Empoli, FI, Italy.
Simone VanniEmergency Department, San Giuseppe Hospital, Empoli, FI, Italy.
Luca MasottiInternal Medicine II, San Giuseppe Hospital, Empoli, FI, Italy.
Roberto TarquiniInternal Medicine I, San Giuseppe Hospital, Empoli, FI, Italy.
Silvia GuarducciManagement Unit, San Giuseppe Hospital, Empoli, FI, Italy.
Gian Maria RossoliniDepartment of Experimental and Clinical Medicine, University of Florence, FI, Italy; Microbiology and Virology Unit, Careggi University Hospital, FI, Italy.
Iolanda MontenoraMicrobiology Unit, San Giuseppe Hospital, Empoli, FI, Italy.
Ospedale San Giuseppe · ITAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A diagnostic algorithm for SARS-CoV-2 infection in patients admitted to the emergency area, based on a combination of rapid antigen and molecular testing, has been evaluated with 3070 nasopharyngeal swabs. Compared to molecular test alone, the proposed algorithm allowed to significantly reduce costs and average time to results.

Indexed as

COVID-19AlgorithmsClinical Laboratory TechniquesCost-Benefit AnalysisCOVID-19 TestingHumansNasopharynxReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Sensitivity and Specificityantigen detectionCOVID-19Lumipulse assayRT-PCRSARS-CoV-2turn-around time

Identifiers

PMID35700658
PMCPMC9126613
OpenAlexW4281390537

What OpenQuestion holds

Textmetadata
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.