Evidence map›Paper›PMID 33196783›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on Invasive Pneumococcal Disease and Risk of Pneumococcal Coinfection With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): Prospective National Cohort Study, England.

Zahin Amin-Chowdhury, Felicity Aiano, Anna Mensah, Carmen L Sheppard, David Litt, Norman K Fry, Nick Andrews, Mary E Ramsay, Shamez N Ladhani

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 1 pooled it
16.7field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

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  8. Streptococcus pneumoniae bacteremia: comparison of incidence, epidemiology, and clinical outcome in a pre- and post-COVID-19 period.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  20. Epidemiology, changing resistance trends and serotypes ofFrontiers in cellular and infection microbiology · 2025
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Zahin Amin-ChowdhuryImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Felicity AianoImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Anna MensahImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Carmen L SheppardRespiratory and Vaccine Preventable Bacterial Reference Unit (RVBRU), Public Health England, London, United Kingdom.
David LittRespiratory and Vaccine Preventable Bacterial Reference Unit (RVBRU), Public Health England, London, United Kingdom.
Norman K FryImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Nick AndrewsStatistics, Modelling, and Economics Department, Public Health England, London, United Kingdom.
Mary E RamsayImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Shamez N LadhaniImmunisation and Countermeasures Division, Public Health England, London, United Kingdom.
Public Health England · GBSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStreptococcus pneumoniae coinfection with influenza results in synergistic lethality, but there are limited data on pneumococcal coinfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

methodsPublic Health England conducts invasive pneumococcal disease (IPD) and SARS-CoV-2 surveillance in England. IPD trends during 2000/2001-2019/2020 epidemiological years were analyzed and cases during February-June 2020 linked with laboratory-confirmed SARS-CoV-2 infections. Multivariable logistic regression was used to assess risk factors for death.

resultsIPD incidence in 2019/2020 (7.6/100 000; n = 3964) was 30% (IRR, .70; 95% CI, .18-2.67) lower compared with 2018/2019 (10.9/100 000; n = 5666), with large reductions observed across all age groups during March-June 2020. There were 160 886 SARS-CoV-2 and 1137 IPD cases during February-June 2020, including 40 IPD/coronavirus disease 2019 (COVID-19) co-infections (.025% [95% CI, .018-.034] of SARS-CoV-2 infections; 3.5% [2.5-4.8] of IPD cases), 21 with COVID-19 diagnosed 3-27 days after IPD, and 27 who developed COVID-19 ≥28 days after IPD. Case-fatality rates (CFRs) were 62.5 (25/40), 47.6% (10/21), and 33.3% (9/27), respectively (P < .001). In addition to an independent association with increasing age and serotype group, CFR was 7.8-fold (95% CI, 3.8-15.8) higher in those with IPD/COVID-19 coinfection and 3.9-fold (95% CI, 1.4-10.7) higher in patients who developed COVID-19 3-27 days after IPD compared with patients with IPD only.

conclusionsLarge declines in IPD were observed following COVID-19 lockdown. IPD/COVID-19 coinfections were rare but associated with high CFR, mainly in older adults. The rarity, age and serotype distribution of IPD/COVID-19 coinfections do not support wider extension of pneumococcal vaccination.

Indexed as

CoinfectionCOVID-19Pneumococcal InfectionsAgedCohort StudiesCommunicable Disease ControlEnglandHumansPandemicsProspective StudiesSARS-CoV-2Streptococcus pneumoniaebacterial coinfectioncase fatalitynosocomial infectionpneumococcal diseaserisk factor

Identifiers

PMID33196783
PMCPMC7717180
OpenAlexW3104298438

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.