Evidence map›Paper›PMID 39413816›Full record

SynthesisJournal of the Royal Society of Medicine2024

COVID-19-related morbidity and mortality in people with multiple long-term conditions: a systematic review and meta-analysis of over 4 million people.

Shukrat O Salisu-Olatunji, Yogini V Chudasama, Navjot Kaur, Zara Kayani, Babatunde A Odugbemi, Olasope Esther Bolodeoku, Shirley Akua Konnor, Elpida Vounzoulaki, Atanu Bhattacharjee, Radia Fahami and 5 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of the Royal Society of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Better health for vulnerable groups, better health for all.Journal of the Royal Society of Medicine · 2024
    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

15 authors.

Shukrat O Salisu-OlatunjiLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.ORCID 0000-0002-5789-8523
Yogini V ChudasamaLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Navjot KaurLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Zara KayaniDiabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.ORCID 0009-0009-1201-6994
Babatunde A OdugbemiDepartment of Community Health and Primary Health Care, Lagos State University College of Medicine (LASUCOM), Lagos, Nigeria.
Olasope Esther BolodeokuDepartment of Community Health and Primary Health Care, Lagos State University Teaching Hospital (LASUTH), Ikeja, Lagos, Nigeria.
Shirley Akua KonnorLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Elpida VounzoulakiLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Atanu BhattacharjeePopulation Health and Genomics, Medical School, University of Dundee, Scotland, DD1 9SY, UK.
Radia FahamiDiabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.
Jonathan ValabhjiNHS England and Improvement, Skipton House, London, SW1A 0AA, UK.ORCID 0000-0001-9756-4061
Amitava BanerjeeInstitute of Health Informatics, University College London, London, WC1E 6BT, UK.ORCID 0000-0001-8741-3411
Francesco ZaccardiLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Clare L GilliesLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Kamlesh KhuntiLeicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the direct impact of coronavirus disease 2019 (COVID-19) infection on morbidity and mortality in people with multiple long-term conditions (MLTCs).

designA systematic review and meta-analysis including observational studies.

settingStudies conducted between 1 January 2020 and 4 May 2023 across 51 countries were identified from five databases.

participantsA total of 4,084,469 patients with confirmed COVID-19 infection.

main outcome measuresPooled risk ratios (RRs) for mortality, hospitalisation, severe disease, intensive care unit (ICU) admission and mechanical ventilation were estimated with random effect meta-analysis models.

resultsA total of 38,356 studies were identified and 111 included. In most (74%) of the studies, MLTCs referred to having two or more long-term conditions. Others described MLTCs by high weighted indices: the Charlson Comorbidity Index in 11% and the Clinical Frailty Score in 7%. Using the National Institutes of Health quality assessment tool for observational studies, the risk of bias was judged as low and moderate in 86 and 25 studies, respectively. Having MLTCs was associated with increased mortality (RR: 2.61 [95% CI: 2.27 to 3.0]); hospitalisation (2.4 [1.92 to 2.99]); severe disease (2.61 [1.92 to 3.54]); ICU admission (1.22 [1.07 to 1.39]) and mechanical ventilation (1.83 [1.18 to 2.84]) compared with those with no MLTCs. Pooled RRs for adverse outcomes were higher in children and young people compared with all age groups. In meta-regression analyses, men were more likely to need ICU admission (

conclusionsPublic health policies, clinical and preventative interventions should prioritise people with MLTCs to minimise direct adverse outcomes from COVID-19 disease.

Indexed as

COVID-19HospitalizationRespiration, ArtificialChronic DiseaseComorbidityHumansIntensive Care UnitsMaleObservational Studies as TopicSARS-CoV-2Epidemiologyinfectious diseasespublic health

Identifiers

PMID39413816
PMCPMC11561988

What OpenQuestion holds

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Registered trials

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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.