Evidence map›Paper›PMID 33825440›Full record

ArticleACS sensors2021

Detecting COVID-19 from Breath: A Game Changer for a Big Challenge.

Giorgia Giovannini, Hossam Haick, Denis Garoli

Open access · hybridAbstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
9.2field-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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 126 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Real-world evaluation of a QCM-based biosensor for exhaled air.Analytical and bioanalytical chemistry · 2024
    Article
  6. Article
  7. Article
  8. COVID-19 detection from exhaled breath.Scientific reports · 2024
    Article
  9. A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MS.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  10. Nanowire Array Breath Acetone Sensor for Diabetes Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Article
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  13. Review
  14. Article
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2 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 3 countries.

Giorgia GiovanniniEmpa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland.ORCID 0000-0003-4496-3709
Hossam HaickDepartment of Chemical Engineering, Biomedical Engineering & The Russell Berrie Nanotechnology Institute (RBNI) Technion - Israel Institute of Technology, Haifa 32000003, Israel.ORCID 0000-0002-2370-4073
Denis GaroliIstituto Italiano di Tecnologia, via Morego 30, I-16163, Genova, Italy.ORCID 0000-0002-5418-7494
Free University of Bozen-Bolzano · ITSwiss Federal Laboratories for Materials Science and Technology · CHTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is probably the most commonly heard word of the last 12 months. The outbreak of this virus (SARS-CoV-2) is strongly compromising worldwide healthcare systems, social behavior, and everyone's lives. The early diagnosis of COVID-19 and isolation of positive cases has proven to be fundamental in containing the spread of the infection. Even though the polymerase chain reaction (PCR) based methods remain the gold standard for SARS-CoV-2 detection, the urgent demand for rapid and wide-scale diagnosis precipitated the development of alternative diagnostic approaches. The millions of tests performed every day worldwide are still insufficient to achieve the desired goal, that of screening the population during daily life. Probably the most appealing approach to consistently monitor COVID-19 spread is the direct detection of SARS-CoV-2 from exhaled breath. For instance, the challenging incorporation of reliable, highly sensitive, and cost-efficient detection methods in masks could represent a breakthrough in the development of portable and noninvasive point-of-care diagnosis for COVID-19. In this perspective paper, we discuss the critical technical aspects related to the application of breath analysis in the diagnosis of viral infection. We believe that, if achieved, it could represent a game-changer in containing the pandemic spread.

Indexed as

COVID-19HumansPandemicsPoint-of-Care SystemsSARS-CoV-2breathCOVID-19detectiondiagnosticssensorvirusVOCsvolatile organic compounds

Identifiers

PMID33825440
PMCPMC8043202
OpenAlexW3142581653

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.