Evidence map›Paper›PMID 42129075›Full record

ArticleAdvances in experimental medicine and biology2026

Proteomic Analysis of COVID-19 Infection.

Timothy Daniel Veenstra

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2026. 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
–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

0 citing papers in PubMed.

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

1 author.

Timothy Daniel VeenstraCollege of Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, FL, USA. tveenstra@lecom.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are things that I remember that seemed innocuous at the time but ended up being major events. As a young boy growing up in Canada, I remember listening to a radio broadcast about a young man who was planning to run across the country to raise money for cancer research. I recollect obscure details such as him filling a bottle with water taken from the Atlantic Ocean. The broadcast received little fanfare, and honestly, I cannot remember the date. I was listening to it only because I was waiting for the broadcast of a hockey game to begin. Attention to this endeavor grew over the next weeks and months as the young man, Terry Fox, ran across Canada. Terry captivated the entire nation and was able to raise $1.7 million dollars until his journey ended on September 2, 1980, after 3339 miles near Thunder Bay, Ontario ( https://www.tfri.ca/about/terry-fox ). A nationally televised telethon was held a week after his run ended, which raised $10.5 million. Over the next several months over $23 million was raised. His fame was such that letters simply addressed "Terry Fox" were successfully delivered to a specific location. Although Terry passed away on June 28, 1981, his legacy continued. He was the youngest person ever to receive the Order of Canada. A total of 32 roads and streets, 14 schools, the Terry Fox Research Institute, and countless athletic venues are all named in honor of this courageous young man ( https://www.twinkl.com/search?q=terry+fox&c=226&r=teacher&fl=12&fco=4213 ). The Terry Fox Run is still held in communities across Canada every year to raise money for cancer research. Almost 20 years after his run, a national survey named him as the second greatest Canadian of all time ( https://en.wikipedia.org/wiki/The_Greatest_Canadian ).Why do I bring up this story? It reminded me of the beginnings of the coronavirus disease 2019 (COVID-19) pandemic. I can remember early in 2020 hearing news stories about a virus spreading throughout Wuhan, China. I must admit I was not concerned by the report and, having lived through other warnings such as bird and swine flu, did not consider this virus as a global threat. Wow, I was wrong! Within a few days the first confirmed case was reported in Washington state, and the entire city of Wuhan (population 11 million) was placed on lockdown ( https://www.cdc.gov/museum/timeline/covid19.html ). Owing to its genetic similarity to the virus responsible for the severe acute respiratory syndrome (SARS) outbreak of 2003, this novel coronavirus was called SARS-CoV-2 (Coronaviridae Study Group of the International Committee on Taxonomy of Viruses, Nat Microbiol 5:536-544, 2020). By mid-February 2020, over 1000 people had died because of SARS-CoV-2 infection. On March 11, 2020, the World Health Organization (WHO) declared COVID-19 a pandemic ( https://www.cdc.gov/museum/timeline/covid19.html ). By the end of March, Drs. Deborah Brix and Anthony Fauci predicted that up to 200,000 Americans would die from COVID-19 even if precautions (social distancing, mask wearing, etc.) were taken ( https://theweek.com/speedreads/905623/dr-birx-faces-200000-coronavirus-deaths-even-everything-almost-perfectly ). As of April 2024, the number of deaths due to COVID-19 were approximately 1.2 and 7.0 million within the USA and worldwide, respectively ( https://www.worldometers.info/coronavirus/coronavirus-death-toll/ ). After more than 3 years, COVID-19 was no longer considered a public health emergency of international concern. While this declaration means the pandemic is over, COVID-19 remains a disease that will be part of the world community for years to come.

Indexed as

ProteomicsCanadaCOVID-19HumansPandemicsSARS-CoV-2Acute respiratory distress syndrome (ADRS)COVID-19COVID databaseDrug repurposingProteomic diagnostic COVID-19 testProteomics of cell surface proteinsSARS-CoV-2SARS-CoV-2/human interaction mapSerum proteomicsTissue proteomics

Identifiers

PMID42129075

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.