Evidence map›Paper›PMID 35338951›Full record

ArticlePsychiatry research2022

COVID-19 hospitalization rates in individuals with substance or alcohol use disorders.

Raimondo Maria Pavarin, Chiara Fabbri, Diana De Ronchi

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

3 authors at 3 institutions in 2 countries.

Raimondo Maria PavarinEpidemiological Monitoring Center on Addiction, Department of Mental Health and Pathological Addictions, Local Health Unit of Bologna, Azienda USL Bologna, Mental Health DSM-DP, Italian Society of Substance Abuse (SITD), Via S. Isaia 94/A 45100, Bologna, Italy. Electronic address: raimondo.pavarin@ausl.bologna.it.
Chiara FabbriInstitute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Department of Biomedical and Neuromotor Science, University of Bologna, Italy.
Diana De RonchiDepartment of Biomedical and Neuromotor Science, University of Bologna, Italy.
Azienda USL di Bologna · ITKing's College London · GBUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with Substance or Alcohol Use Disorders (SUDs/AUDs) are likely to be more vulnerable to COVID-19 infection than the general population. We performed a cross-sectional study to compare the hospitalization rate (CHR) for COVID-19 in 2020 in patients diagnosed with SUDs or AUDs in the previous 10 years vs the population without these disorders (NAS). We included individuals who were resident in the Metropolitan Area of Bologna (Northern Italy). People with SUDs or AUDs have a greater probability of being hospitalized for COVID-19 infection compared to the general population NAS, suggesting that they suffer from worse physical symptoms/conditions than the general population. Furthermore, we found higher mortality rates during hospitalization for COVID-19 in patients with AUDs or SUDs than the general population NAS. These findings highlight the importance of a careful monitoring and early intervention measures in these patients.

Indexed as

AlcoholismCOVID-19Substance-Related DisordersCross-Sectional StudiesHospitalizationHumansAlcohol use disorderCOVID-19HospitalisationMortalitySubstance use disorder

Identifiers

PMID35338951
PMCPMC8934434
OpenAlexW4220786281

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.