Evidence map›Paper›PMID 33065193›Full record

ArticleThe Journal of hospital infection2020

Incidence and outcomes of healthcare-associated COVID-19 infections: significance of delayed diagnosis and correlation with staff absence.

K Khonyongwa, S K Taori, A Soares, N Desai, M Sudhanva, W Bernal, S Schelenz, L A Curran

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of hospital infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 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

8 authors at 2 institutions in 1 country.

K KhonyongwaKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
S K TaoriKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK; School of Immunology and Microbial Sciences, Kings College London, London, UK. Electronic address: surabhi.taori@nhslothian.scot.nhs.uk.
A SoaresKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
N DesaiKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
M SudhanvaKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK; South London Specialist Virology Centre, VIAPATH, Denmark Hill, London, UK.
W BernalKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK; School of Immunology and Microbial Sciences, Kings College London, London, UK.
S SchelenzKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
L A CurranKings College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
King's College Hospital NHS Foundation Trust · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sudden increase in COVID-19 admissions in hospitals during the SARS-CoV-2 pandemic of 2020 led to onward transmissions among vulnerable inpatients.

aimsThis study was performed to evaluate the prevalence and clinical outcomes of healthcare-associated COVID-19 infections (HA-COVID-19) during the 2020 epidemic and study factors which may promote or correlate with its incidence and transmission in a Teaching Hospital NHS Trust in London, UK.

methodsElectronic laboratory, patient and staff self-reported sickness records were interrogated from 1

resultsFifty-eight HA-COVID-19 (7.1%) cases were identified. When compared with community-acquired admitted cases (CA-COVID-19), significant differences were observed in age (P=0.018), ethnicity (P<0.001) and comorbidity burden (P<0.001) but not in 30-day mortality. CTNS-negative predictive value was 60.3%. DRP was associated with greater mortality (P=0.034) and incidence of HA-COVID-19 correlated positively with DRP (R = 0.7108) and staff sickness absence (R = 0.7815). For the study period HAB rates were similar to the previous 2 years.

conclusionsEarly diagnosis and isolation of COVID-19 patients would help to reduce transmission. A single CTNS has limited value in segregating patients into positive and negative pathways.

Indexed as

AbsenteeismAgedAged, 80 and overCase-Control StudiesComorbidityCOVID-19Cross InfectionDelayed DiagnosisFemaleGlobal Burden of DiseaseHumansIncidenceLondonMalePredictive Value of TestsPrevalenceCoronavirusHCW infectionsNosocomial infections

Identifiers

PMID33065193
PMCPMC7553103
OpenAlexW3093214004

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.