Evidence map›Paper›PMID 38223176›Full record

ArticleBiomedical optics express2024

Blood metal analysis of plasmas from donors with and without SARS-CoV-2 using laser-induced breakdown spectroscopy and logistic regression.

Noureddine Melikechi, Helmar G Adler, Ali Safi, Joshua E Landis, Farhad Pourkamali-Anaraki, Kemal Efe Eseller, Kim Berlo, Danielle Bonito, Gregory R Chiklis, Weiming Xia

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 4 institutions in 3 countries.

Noureddine MelikechiKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID https://orcid.org/0000-0001-5392-9225
Helmar G AdlerKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Ali SafiKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID https://orcid.org/0000-0001-6788-1541
Joshua E LandisKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Farhad Pourkamali-AnarakiKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID https://orcid.org/0000-0003-4078-1676
Kemal Efe EsellerKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Kim BerloDepartment of Earth & Planetary Sciences, McGill University, Montreal H3A 0E, Canada.
Danielle BonitoMRN Diagnostics, 101 Constitution Blvd, Franklin, MA 02038, USA.
Gregory R ChiklisMRN Diagnostics, 101 Constitution Blvd, Franklin, MA 02038, USA.
Weiming XiaKennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA 01854, USA.
University of Massachusetts Lowell · USBoston University · USMcGill University · CAUniversity of Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the correlation between metal levels in blood and Covid-19 infection has been conducted primarily by assessing how each individual blood metal is linked to different aspects of the disease using samples from donors with various levels of severity to Covid-19 infection. Using logistics regression on LIBS spectra of plasma samples collected pre- and post- Covid-19 pandemic from donors known to have developed various levels of antibodies to the SARS-Cov-2 virus, we show that relying on the levels of Na, K, and Mg together is more efficient at differentiating the two types of plasma samples than any single blood alone.

Identifiers

PMID38223176
PMCPMC10783903
OpenAlexW4389735073

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.