Evidence map›Paper›PMID 33863950›Full record

ArticleScientific reports2021

Reconcile the debate over protective effects of BCG vaccine against COVID-19.

Wei Fu, Pei-Chuan Ho, Chia-Lun Liu, Kai-Teh Tzeng, Nawar Nayeem, Jonni S Moore, Li-San Wang, Shin-Yi Chou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. iScience · 2023
    Review
  5. Immune interaction between SARS-CoV-2 andFrontiers in immunology · 2023
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Long COVID and its Management.International journal of biological sciences · 2022
    Review
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  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
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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 4 institutions in 1 country.

Wei Fu *Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Richards Building, D101, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Pei-Chuan Ho *Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Richards Building, D101, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Chia-Lun Liu *Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Richards Building, D101, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Kai-Teh TzengDepartment of Economics, Lehigh University, Rauch Business Center, 621 Taylor Street, Bethlehem, PA, 18015, USA.
Nawar NayeemDepartment of Economics, Lehigh University, Rauch Business Center, 621 Taylor Street, Bethlehem, PA, 18015, USA.
Jonni S MooreDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Li-San WangPenn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Richards Building, D101, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA. lswang@pennmedicine.upenn.edu.ORCID 0000-0002-3684-0031
Shin-Yi ChouPenn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Richards Building, D101, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA. syc2@lehigh.edu.
Lehigh University · USUniversity of Pennsylvania · USNational Bureau of Economic Research · USPenn Center for AIDS Research · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Genome Center for Alzheimer's Disease (GCAD)U54AG052427 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WANG, LI-SAN · 2016 to 2025
$32.8M
NCI NIH HHS P30 CA016520NIA NIH HHS U24 AG041689NIA NIH HHS U54 AG052427
6 · The paper itself

Abstract

While awaiting the COVID-19 vaccines, researchers have been actively exploring the effectiveness of existing vaccines against the new virus, among which the BCG vaccine (Bacillus Calmette-Guérin) receives the most attention. While many reports suggest a potential role for BCG immunization in ameliorating SARS-CoV-2 infection, these findings remain controversial. With country-level COVID-19 outbreak data from Johns Hopkins University Coronavirus Resource Center, and BCG program data from World Atlas of BCG Policies and Practices and WHO/UNICE, we estimated a dynamic model to investigate the effect of BCG vaccination across time during the pandemic. Our results reconcile these varying reports regarding protection by BCG against COVID-19 in a variety of clinical scenarios and model specifications. We observe a notable protective effect of the BCG vaccine during the early stage of the pandemic. However, we do not see any strong evidence for protection during the later stages. We also see that a higher proportion of vaccinated young population may confer some level of communal protection against the virus in the early pandemic period, even when the proportion of vaccination in the older population is low. Our results highlight that while BCG may offer some protection against COVID-19, we should be cautious in interpreting the estimated effectiveness as it may vary over time and depend on the age structure of the vaccinated population.

Indexed as

BCG VaccineCOVID-19HumansModels, TheoreticalRegression AnalysisSARS-CoV-2Severity of Illness IndexTime FactorsBCG Vaccine

Identifiers

PMID33863950
PMCPMC8052320
OpenAlexW3153484000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.