Evidence map›Paper›PMID 37515302›Full record

ArticleViruses2023

Differences in Trends in Admissions and Outcomes among Patients from a Secondary Hospital in Madrid during the COVID-19 Pandemic: A Hospital-Based Epidemiological Analysis (2020-2022).

Rafael Garcia-Carretero, Oscar Vazquez-Gomez, María Ordoñez-Garcia, Noelia Garrido-Peño, Ruth Gil-Prieto, Angel Gil-de-Miguel

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Epidemiology of the COVID-19 pneumonia in a group of hospitals from Madrid-Spain during the full period of the State of Alarm HM cohort.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Observational
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Rafael Garcia-CarreteroDepartment of Internal Medicine, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.ORCID 0000-0001-7532-4585
Oscar Vazquez-GomezDepartment of Internal Medicine, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.
María Ordoñez-GarciaDepartment of Hematology, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.
Noelia Garrido-PeñoDepartment of Pharmacy, Mostoles University Hospital, 28935 Móstoles, Madrid, Spain.
Ruth Gil-PrietoDepartment of Preventive Medicine and Public Health, Rey Juan Carlos University, 28922 Alcorcón, Madrid, Spain.ORCID 0000-0002-5229-3832
Angel Gil-de-MiguelDepartment of Preventive Medicine and Public Health, Rey Juan Carlos University, 28922 Alcorcón, Madrid, Spain.ORCID 0000-0003-1295-7101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spain had some of Europe's highest incidence and mortality rates for coronavirus disease 2019 (COVID-19). This study highlights the impact of the COVID-19 pandemic on daily health care in terms of incidence, critical patients, and mortality. We describe the characteristics and clinical outcomes of patients, comparing variables over the different waves. We performed a descriptive, retrospective study using the historical records of patients hospitalized with COVID-19. We describe demographic characteristics, admissions, and occupancy. Time series allowed us to visualize and analyze trends and patterns, and identify several waves during the 27-month period. A total of 3315 patients had been hospitalized with confirmed COVID-19. One-third of these patients were hospitalized during the first weeks of the pandemic. We observed that 4.6% of all hospitalizations had been admitted to the intensive care unit, and we identified a mortality rate of 9.4% among hospitalized patients. Arithmetic- and semi-logarithmic-scale charts showed how admissions and deaths rose sharply during the first weeks, increasing by 10 every few days. We described a single hospital's response and experiences during the pandemic. This research highlights certain demographic profiles in a population and emphasizes the importance of identifying waves when performing research on COVID-19. Our results can extend the analysis of the impact of COVID-19 and can be applied in other contexts, and can be considered when further analyzing the clinical, epidemiological, or demographic characteristics of populations with COVID-19. Our findings suggest that the pandemic should be analyzed not as a whole but rather in different waves.

Indexed as

COVID-19HospitalizationHospitalsHumansPandemicsRetrospective StudiesSARS-CoV-2COVID-19health careSARS-CoV-2time series visualization

Identifiers

PMID37515302
PMCPMC10384448

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.