Evidence map›Paper›PMID 37437035›Full record

ArticlePloS one2023

Evaluation of a remote monitoring service for patients with COVID-19 discharged from University College London Hospital.

Declan Crilly, Peter Shakeshaft, Michael Marks, Sarah Logan, Tim Cutfield

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Risk model derivation and clinical outcomes in COVID-19 pneumonia patients discharged from the emergency department.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    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

5 authors at 1 institution in 1 country.

Declan CrillyDepartment of Infectious Diseases, University College Hospital, London, United Kingdom.ORCID 0000-0002-4615-8888
Peter ShakeshaftInformation Analysis, University College Hospital, London, United Kingdom.
Michael MarksDepartment of Infectious Diseases, University College Hospital, London, United Kingdom.
Sarah LoganDepartment of Infectious Diseases, University College Hospital, London, United Kingdom.
Tim CutfieldDepartment of Infectious Diseases, University College Hospital, London, United Kingdom.
University College Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn May 2020 a virtual ward for COVID-19 patients seen at University College London Hospital (UCLH) was established. The aim of this study was to see if specific factors can be used to predict the risk of deterioration and need for Emergency Department (ED) reattendance or admission.

methodsWe performed a service evaluation of the COVID-19 virtual ward service at UCLH between 24/10/2020 and 12/2/2021. 649 patients were included with data collected on vital signs, basic measurements, and blood tests from their initial ED attendance, allowing calculation of ISARIC-4C mortality scores. Outcomes of interest were ED reattendance, facilitation of this by virtual ward physician, level of care if admitted, and death within 28 days of the first COVID-19 virtual ward appointment. Analysis was performed using Mann-Whitney U tests.

resultsReattendance rate to ED was 17.3% (112/649) of which 8% (51/649) were admitted. Half of ED reattendances were facilitated by the virtual ward service. Overall mortality was 0.92%. Patients who reattended ED, facilitated by the virtual ward service, had a higher mean CRP (53.63 vs 41.67 mg/L), presented to ED initially later in their COVID-19 illness (8 vs 6.5 days) and had a higher admission rate (61 vs 39%). The mean ISARIC-4C score was higher in the reattendance group compared to the non-reattendance group (3.87 vs 3.48, difference of 0.179, p = 0.003). The mean ISARIC-4C score was higher in the admission group than the non-reattendance group (5.56 vs 3.48, difference of 0.115, p = 0.003).

conclusionIdentification of patient risk factors for reattendance following a diagnosis of COVID-19 in ED can be used to design a service to safely manage patients remotely. We found that the ISARIC -4C mortality score was associated with risk of hospital admission and could be used to identify those requiring more active remote follow up.

Indexed as

COVID-19Patient DischargeHospitals, UniversityHumansLondonUniversities

Identifiers

PMID37437035
PMCPMC10337886
OpenAlexW4384025059

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.