Evidence map›Paper›PMID 33914228›Full record

ArticleInternal and emergency medicine2022

A predictive score at admission for respiratory failure among hospitalized patients with confirmed 2019 Coronavirus Disease: a simple tool for a complex problem.

Antonio Lalueza, Jaime Lora-Tamayo, Guillermo Maestro-de la Calle, Dolores Folgueira, Estíbaliz Arrieta, Borja de Miguel-Campo, Raquel Díaz-Simón, David Lora, Cristina de la Calle, Mikel Mancheño-Losa and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact, top 94% 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

9 citing papers in PubMed, 0 citations in OpenAlex.

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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

23 authors at 2 institutions in 1 country.

Antonio LaluezaDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain. lalueza@hotmail.com.ORCID 0000-0003-2711-3817
Jaime Lora-TamayoDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Guillermo Maestro-de la CalleDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Dolores FolgueiraDepartment of Medicine, School of Medicine, Complutense University, Madrid, Spain.
Estíbaliz ArrietaDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Borja de Miguel-CampoDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Raquel Díaz-SimónDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
David LoraResearch Institute of Hospital 12 de Octubre (imas+12), Madrid, Spain.
Cristina de la CalleDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Mikel Mancheño-LosaDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Álvaro Marchán-LópezDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Ana García-ReyneDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
Mario Fernández-RuizResearch Institute of Hospital 12 de Octubre (imas+12), Madrid, Spain.
Javier Sayas-CatalánResearch Institute of Hospital 12 de Octubre (imas+12), Madrid, Spain.
Antonio SerranoResearch Institute of Hospital 12 de Octubre (imas+12), Madrid, Spain.
Cecilia Cueto-FelguerosoDepartment of Biochemistry, University Hospital 12 de Octubre, Madrid, Spain.
Rafael San JuanDepartment of Medicine, School of Medicine, Complutense University, Madrid, Spain.
Rocío García-GarcíaDepartment of Respiratory Medicine, University Hospital 12 de Octubre, Madrid, Spain.
Mercedes CatalánDepartment of Intensive Care Medicine, University Hospital 12 de Octubre, Madrid, Spain.
Victoria VillenaDepartment of Medicine, School of Medicine, Complutense University, Madrid, Spain.
José María AguadoDepartment of Medicine, School of Medicine, Complutense University, Madrid, Spain.
Carlos LumbrerasDepartment of Internal Medicine, University Hospital 12 de Octubre, Av Córdoba Km 5,400, 28041, Madrid, Spain.
COVID+12 group
Research Institute Hospital 12 de Octubre · ESUniversidad Complutense de Madrid · ES

Funding

Instituto de Salud Carlos III research contract "Miguel Servet" (CP 18/00073).Instituto de Salud Carlos III Research Contract "Río Hortega" (CM19/00226).
6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19) pandemic has implacably stricken on the wellness of many countries and their health-care systems. The aim of the present study is to analyze the clinical characteristics of the initial wave of patients with COVID-19 attended in our center, and to identify the key variables predicting the development of respiratory failure. Prospective design study with concurrent data retrieval from automated medical records of all hospitalized adult patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rRT-PCR assay performed on respiratory samples from March 2nd to 18th, 2020. Patients were followed up to May 1st, 2020 or death. Respiratory failure was defined as a PaO

Indexed as

COVID-19Respiratory InsufficiencyAdultAgedAged, 80 and overHumansMiddle AgedPandemicsProspective StudiesSARS-CoV-2CoronavirusCOVID-19OutcomeRespiratory failureSARS-CoV2Score

Identifiers

PMID33914228
PMCPMC8082224
OpenAlexW3042649224

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.