Evidence map›Paper›PMID 34019218›Full record

ReviewInflammopharmacology2021

A brief, highly selective history of acute phase proteins as indicators of infection, inflammation and injury.

Michael C Powanda, Elizabeth D Moyer

Open access · bronzeAbstract readReview
In one paragraph

Review in Inflammopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Analysis of serum zinc level in patients with severe trauma.Journal of clinical biochemistry and nutrition · 2025
    Article
  7. Article
  8. Article
  9. Alcohol, HMGB1, and Innate Immune Signaling in the Brain.Alcohol research : current reviews · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. 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

2 authors at 1 institution in 1 country.

Michael C PowandaM/P Biomedical Consultants LLC, 402 Live Oak Drive, Mill Valley, CA, 94941, USA. powanda@mpbiomed.com.ORCID http://orcid.org/0000-0002-2710-856X
Elizabeth D MoyerM/P Biomedical Consultants LLC, 402 Live Oak Drive, Mill Valley, CA, 94941, USA.
Mill Valley Public Library · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an array of plasma protein alterations that occur in a wide variety of species, including humans in response to trauma, inflammation and infections, seemingly irrespective of etiologic agent. In numerous species, these plasma proteins are part of the innate immune response. In addition, it appears that a number of the plasma proteins in this array can be predictive of morbidity and/or mortality. We propose that based on historic use, selected acute phase proteins should be included in ongoing and future non-clinical and clinical studies to help us better understand disease progression in chronic, as well as acute diseases. In addition to assess if there is a relationship between vaccine-induced inflammation and degree of protection from live, attenuated or synthetic vaccines.

Indexed as

Acute DiseaseAcute-Phase ProteinsAnimalsChronic DiseaseHumansImmunity, InnateInfectionsInflammationWounds and InjuriesAcute-Phase ProteinsAcute phase proteinsAnimal models of diseaseChronic diseaseCovid-19C-reactive proteinInnate immunityMorbidity and mortalityTrauma and sepsisVaccination

Identifiers

PMID34019218
PMCPMC8139218
OpenAlexW3163230641

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.