Evidence map›Paper›PMID 35028332›Full record

ArticleOpen forum infectious diseases2022

Variation in Severe Acute Respiratory Syndrome Coronavirus 2 Bioaerosol Production in Exhaled Breath.

Renu Verma, Eugene Kim, Nicholas Degner, Katharine S Walter, Upinder Singh, Jason R Andrews

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

6 authors.

Renu VermaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-1277-8824
Eugene KimDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-3409-4124
Nicholas DegnerDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Katharine S WalterDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-0065-2204
Upinder SinghDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0002-5967-251X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a simple, noninvasive mask sampling method to quantify and sequence severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from exhaled breath. We found substantial variation between individuals in SARS-CoV-2 copies exhaled over a 15-minute period, which moderately correlated with nasal swab viral load. Talking was associated with a median of 2 log

Indexed as

COVID-19exhaled breathgelatin masksinfectiousnesswhole-genome sequencing

Identifiers

PMID35028332
PMCPMC8753034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.