Evidence map›Paper›PMID 35815193›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2022

Impact of socioeconomic status on the clinical outcomes in hospitalised patients with SARS-CoV-2 infection: a retrospective analysis.

Lucio Boglione, Valentina Dodaro

Open access · hybridAbstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 2 institutions in 1 country.

Lucio BoglioneDepartment of Translational Medicine (DiMET), University of Eastern Piedmont, Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0001-8326-4930
Valentina DodaroDepartment of Medical Sciences, University of Turin, Turin, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: A disadvantaged socioeconomic status (SES) was previously associated with higher incidence and poor outcomes both of non-communicable diseases (NCDs) and infectious diseases. Inequalities in health services also have a negative effect on the coronavirus disease 2019 (COVID-19) morbidity and mortality. Subject and methods: The study analysed the role of SES measured by the educational level (EL) in hospitalised patients with COVID-19 between 9 March 2020 and 20 September 2021 at our centre of infectious diseases. Clinical outcomes were: length of hospitalisation, in-hospital mortality and the need of intensive-care-unit (ICU) support. Results: There were 566 patients included in this retrospective analysis. Baseline EL was: illiterate (5, 0.9%), primary school (99, 17.5%), secondary school (228, 40.3%), high school (211, 37.3%), degree (23, 4.1%); median age was higher in low EL (72.5 years vs 61 years, Conclusion: Even though the EL is mainly related to the age of patients, in our analysis, it resulted as an independent predictor of in-hospital mortality and hospitalisation time. Unfortunately, this is a study focused only on hospitalised patients, and we did not examine the possible effect of EL in outpatients. Further analyses are required to confirm this suggestion and provide novel information.

Indexed as

COVID-19educational levelhealth inequalitiesSARS-CoV-2socioeconomic status

Identifiers

PMID35815193
PMCPMC9257564
OpenAlexW4283823718

What OpenQuestion holds

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LicenceCC BY
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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.