Evidence map›Paper›PMID 42215455›Full record

ArticleScientific data2026

A multicenter COVID-19 database from four waves in the south metropolitan area of Barcelona, Catalonia.

N Pallarès, J Carmezim, A Rodríguez-Molinero, A Coloma, E Izquierdo, V Díaz-Brito, S Videla, J Carratalà, G Gómez-Melis, C Tebé

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

10 authors.

N PallarèsBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Barcelona, Spain.
J CarmezimBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Barcelona, Spain.
A Rodríguez-MolineroConsorci Sanitari Alt Penedès Garraf, Barcelona, Spain.
A ColomaConsorci Sanitari Integral, Barcelona, Spain.
E IzquierdoViladecans Hospital, Barcelona, Spain.
V Díaz-BritoDepartment Infectious Diseases, Parc Sanitari Sant Joan de Deu, Barcelona, Spain.
S VidelaClinical Research Support Area, Department of Clinical Pharmacology, Germans Trias i Pujol University Hospital, Badalona, Spain.
J CarratalàDepartment of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
G Gómez-MelisDepartment of Statistics and Operations Research, Biostatistics and Bioinformatics Group (GRBIO), Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain.
C TebéBiostatistics Support and Research Unit, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Barcelona, Spain. ctebe@igtp.cat.

Funding

Departament d'Empresa i Coneixement, Generalitat de Catalunya 2020PANDE00148Departament de Recerca i Universitats, Generalitat de Catalunya 2021 SGR 01421 (GRBIO)
6 · The paper itself

Abstract

The COVID-19 pandemic has been characterized by a series of epidemiological waves, each defined by distinct viral variants and shifting transmission dynamics. Examining these waves is essential for understanding temporal changes in case incidence, hospitalization rates, mortality patterns, and healthcare system capacity. In this work, we present a database from a multicenter COVID-19 study including data of 5813 patients from four waves of the pandemic in the south metropolitan area of Barcelona. The database contains information collected at hospital admission and during patient follow-up while in hospital. Data were prospectively recorded from the patients' medical records. The database includes information on demographic characteristics, comorbidities, and clinical signs and symptoms at admission, as well as detailed data on clinical management and treatments administered during hospitalisation across four pandemic waves. The database has been made publicly available to support reproducible research and to enable its reuse in secondary analyses and predictive model validation, and for use as a teaching resource.

Indexed as

COVID-19Databases, FactualHospitalizationHumansPandemicsSARS-CoV-2Spain

Identifiers

PMID42215455
PMCPMC13503831

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.