🚨n.b. #postprint 🚨

v10 of our #LivingReview is live on @qeios

We have reviewed 345 studies. 52 of sufficient quality for #MetaAnalysis to explore the association of #Smoking and #COVID19 #infection, #hospitalisation, #severity and #mortality.

qeios.com/read/UJR2AW.11
No dramatic changes from v9 posted in November.

Most studies from πŸ‡ΊπŸ‡Έ, πŸ‡¨πŸ‡³ & πŸ‡¬πŸ‡§ but from 39 countries. 65% hospital based, 8% purely community. Median of 461 individuals per study.

Smoking remains poorly recorded, only 29% of studies categorise as current 🚬, former and never 🚭
6 studies report on alternative nicotine products.

Large amounts of missing data in many studies on 🚬 status introducing bias.

Huge reliance on #ElectronicHealthRecords and all the limitations that brings. See our recent #PrePrint if interested (doi.org/10.1101/2020.1…)
Current smoking prevalence is generally less than expected in included studies.

Not adjusted for age, sex, socio-economic position or comorbidities. All important confounders.
Former smoking prevalence is more similar to expected. But included less often in reported descriptive statistics.

Not adjusted for age, sex, socio-economic position or comorbidities. All important confounders.
Three studies reporting on access to testing broken down by smoking status. Current and former 🚬 more likely to access or seek a #COVID test.
63 studies reporting on #COVID infection and 🚬.

25 included in #MetaAnalysis

Current smokers were at reduced risk of testing positive for SARS-CoV-2 compared with never smokers (RR = 0.69, 95% Credible Interval (CrI) = 0.58-0.82, Ο„ = 0.36)
Former compared with never smokers were at increased risk of testing positive, but data were inconclusive (RR = 1.03, 95% CrI = 0.94-1.13, Ο„ = 0.18). The probability of former smokers being at increased risk of infection (RR β‰₯1.1) compared with never smokers was 7.8%.
41 studies reporting on #COVID #hospitalisation and 🚬

13 in meta-analysis

Evidence for current 🚬 were inconclusive, favouring no important association. The probability of current 🚬 being at increased risk of hospitalisation (RR β‰₯1.1) compared with never smokers was 31%
Former smokers were at increased risk of hospitalisation (RR = 1.18, CrI = 1.07-1.31) compared with never smokers.
65 studies reported on disease severity, typically among hospitalised patients. 8 studies in meta-analysis.

Current (RR = 1.26, CrI = 0.86-1.94) and former 🚬 (RR = 1.52, CrI = 1.12-2.06) were at increased risk of severe disease. Probability or RR >1.1 80% and 98%, respectively
77 studies reported mortality. 16 in meta-analysis.

Current (RR = 1.05, 95% CrI = 0.77-1.41) and former 🚬 (RR = 1.40, 95% CrI = 1.2-1.64) were at increased risk of mortality. Inconclusive for current 🚬 with 38% probability of risk > 1.1 above never 🚭
Interpretation of results from studies conducted during the the SARS-CoV-2 pandemic is complex and we discuss this in depth.
tl;dr Across 345 studies, recorded current but not past 🚬 prevalence was generally lower than national prevalence estimates. Current 🚬 were at reduced risk of testing positive for SARS-CoV-2 and former 🚬 were at increased risk of hospitalisation, disease severity and mortality
As always
Code available πŸ”— github.com/DidDrog11/smok…
Report available πŸ”—
diddrog11.github.io
Data available πŸ”—
docs.google.com/spreadsheets/d…
v7 published and peer reviewed in @AddictionJrnl πŸ”—
doi.org/10.1111/add.15…
Many thanks to project lead @OlgaPerski and collaborators @LionShahab and @jamiebrown10

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