Evidence map›Paper›PMID 33762383›Full record

ArticleClinical medicine (London, England)2021

Lockdown Britain: Evidence for reduced incidence and severity of some non-COVID acute medical illnesses.

Miles C Allison, Nicholas A Doyle, Giles Greene, Arif Mahmood, Myer Glickman, Aine K Jones, Paul E Mizen

Abstract read
In one paragraph

Article in Clinical medicine (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Increased Risk of e-Thrombosis in e-Life Era.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

7 authors.

Miles C AllisonRoyal Gwent Hospital, Newport, UK miles.allison@wales.nhs.uk.
Nicholas A DoyleRoyal Gwent Hospital, Newport, UK.
Giles GreeneKnowledge Directorate, Cardiff, UK.
Arif MahmoodAneurin Bevan University Health Board Headquarters, Newport, UK.
Myer Glickmanmethods and international, Office for National Statistics, Newport, UK.
Aine K JonesPrincess of Wales Hospital, Bridgend, UK.
Paul E MizenRoyal Gwent Hospital, Newport, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large reductions in emergency department attendances and hospitalisations with non-COVID acute medical illness early during the pandemic were attributed to reluctance to seek medical help and higher referral thresholds. Here, we compare acute medical admissions with a comparison cohort from 2017. Deaths in the same geographic area were examined, and Wales-wide deaths during these 4 weeks in 2020 were compared with a seasonally matched period in 2019. There were 528 patients admitted with non-COVID illness in 2020, versus 924 in 2017 (a reduction of 43%). Deaths from non-COVID causes increased by 10.9% compared with 2017, over half this rise being from neurological causes including stroke and dementia. While far fewer patients required hospitalisation as medical emergencies, rises in local non-COVID deaths proved small. Wales-wide non-COVID deaths rose by just 1% compared with 2019. The findings suggest that changes in population behaviour and lifestyle during lockdown brought about unforeseen health benefits.

Indexed as

COVID-19PandemicsEpidemiologyHospitalizationHumansIncidenceQuarantineUnited KingdomWalesatmospheric pollutionCOVID-19lockdownpopulationpopulation behaviour

Identifiers

PMID33762383
PMCPMC8002805

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.