Evidence map›Paper›PMID 35024549›Full record

ArticleAccess microbiology2021

Characteristics of patients with suspected COVID-19 pneumonia and repeatedly negative RT-PCR.

Paula Navarro-Carrera, Patricia Roces-Álvarez, Juan Carlos Ramos-Ramos, Dolores Montero, Itsaso Losantos, Beatriz Díaz-Pollán, Silvia García Bujalance

Abstract read
In one paragraph

Article in Access microbiology, 2021. 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

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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

7 authors.

Paula Navarro-CarreraDepartment of Clinical Microbiology and Parasitology, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.ORCID https://orcid.org/0000-0002-7147-3660
Patricia Roces-ÁlvarezDepartment of Clinical Microbiology and Parasitology, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.
Juan Carlos Ramos-RamosInfectious Diseases Unit, Department of Internal Medicine, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.
Dolores MonteroDepartment of Clinical Microbiology and Parasitology, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.
Itsaso LosantosSection of Biostatistics- IdiPAZ, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.ORCID https://orcid.org/0000-0001-5338-7438
Beatriz Díaz-PollánInfectious Diseases Unit, Department of Internal Medicine, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.ORCID https://orcid.org/0000-0002-7241-4208
Silvia García BujalanceDepartment of Clinical Microbiology and Parasitology, Hospital Universitario La Paz-H. Carlos III, 28046 Madrid, Spain.ORCID https://orcid.org/0000-0003-3218-4935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChallenges remain and there are still a sufficient number of cases with epidemiological, clinical features and radiological data suggestive of COVID-19 pneumonia that persist negative in their RT-PCR results. The aim of the study was to define the distinguishing characteristics between patients developing a serological response to SARS-CoV-2 and those who did not.

methodsRT-PCR tests used were TaqPath 2019-nCoV Assay Kit v1 (ORF-1ab, N and S genes) from Thermo Fisher Diagnostics and SARS-COV-2 Kit (N and E genes) from Vircell. Serological response was tested using the rapid SARS-CoV2 IgG/IgM Test Cassette from T and D Diagnostics Canada and CMC Medical Devices and Drugs, S.L, CE.

resultsIn this cross-sectional study, we included a cohort of 52 patients recruited from 31 March 2020 to 23 April 2020. Patients with positive serology had an older average age (73.29) compared to those who were negative (54.82) (

conclusionClinical features and other biomarkers in a context of a positive serology can be considered crucial for diagnosis.

Indexed as

COVID-19 pneumoniaRT-PCRSARS-CoV-2serological response

Identifiers

PMID35024549
PMCPMC8749149

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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.