Evidence map›Paper›PMID 35332039›Full record

ArticleBMJ open2022

Trends in outcomes following COVID-19 symptom onset in Milan: a cohort study.

Christopher H Jackson, Francesca Grosso, Kevin Kunzmann, Alice Corbella, Maria Gramegna, Marcello Tirani, Silvana Castaldi, Danilo Cereda, Daniela De Angelis, Anne Presanis

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
0.6field-weighted citation impact, top 32% 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, 5 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

10 authors at 4 institutions in 4 countries.

Christopher H JacksonMRC Biostatistics Unit, University of Cambridge, Cambridge, UK chris.jackson@mrc-bsu.cam.ac.uk.ORCID 0000-0002-6656-8913
Francesca GrossoPostgraduate School of Public Health, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Kevin KunzmannMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Alice CorbellaDepartment of Statistics, University of Warwick, Coventry, UK.
Maria GramegnaWelfare General Directorate, Regione Lombardia, Milan, Italy.
Marcello TiraniWelfare General Directorate, Regione Lombardia, Milan, Italy.
Silvana CastaldiPost-graduate School of Hygiene and Preventive Medicine, University of Milan, Milan, Italy.
Danilo CeredaWelfare General Directorate, Regione Lombardia, Milan, Italy.
Daniela De AngelisMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Anne PresanisMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
University of Cambridge · GBLombardia Informatica (Italy) · ITUniversity of Milan · ITUniversity of Warwick · GB

Funding

Medical Research Council MC_PC_19074Medical Research Council MC_UU_00002/11
6 · The paper itself

Abstract

backgroundFor people with symptomatic COVID-19, the relative risks of hospital admission, death without hospital admission and recovery without admission, and the times to those events, are not well understood. We describe how these quantities varied with individual characteristics, and through the first wave of the pandemic, in Milan, Italy.

methodsA cohort study of 27 598 people with known COVID-19 symptom onset date in Milan, Italy, testing positive between February and June 2020 and followed up until 17 July 2020. The probabilities of different events, and the times to events, were estimated using a mixture multistate model.

resultsThe risk of death without hospital admission was higher in March and April (for non-care home residents, 6%-8% compared with 2%-3% in other months) and substantially higher for care home residents (22%-29% in March). For all groups, the probabilities of hospitalisation decreased from February to June. The probabilities of hospitalisation also increased with age, and were higher for men, substantially lower for healthcare workers and care home residents, and higher for people with comorbidities. Times to hospitalisation and confirmed recovery also decreased throughout the first wave. Combining these results with our previously developed model for events following hospitalisation, the overall symptomatic case fatality risk was 15.8% (15.4%-16.2%).

conclusionsThe highest risks of death before hospital admission coincided with periods of severe burden on the healthcare system in Lombardy. Outcomes for care home residents were particularly poor. Outcomes improved as the first wave waned, community healthcare resources were reinforced and testing became more widely available.

Indexed as

COVID-19Cohort StudiesComorbidityHospitalizationHumansMalePandemicsCOVID-19epidemiologypublic health

Identifiers

PMID35332039
PMCPMC8948075
OpenAlexW4221112774

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.