Evidence map›Paper›PMID 37007776›Full record

ReviewFrontiers in medicine2023

Serum amyloid A-A potential therapeutic target for hyper-inflammatory syndrome associated with COVID-19.

Eman M Almusalami, Anthony Lockett, Albert Ferro, John Posner

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. IL-6 and SAA-Strong Predictors for the Outcome in COVID-19 CKD Patients.International journal of molecular sciences · 2023
    Article
  9. Article
  10. Review
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

4 authors at 2 institutions in 1 country.

Eman M AlmusalamiCentre for Pharmaceutical Medicine Research, King's College London, London, United Kingdom.
Anthony LockettCentre for Pharmaceutical Medicine Research, King's College London, London, United Kingdom.
Albert FerroCentre for Pharmaceutical Medicine Research, King's College London, London, United Kingdom.
John PosnerCentre for Pharmaceutical Medicine Research, King's College London, London, United Kingdom.
King's College London · GBBritish Heart Foundation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum amyloid-A (SAA) is associated with inflammatory disorders such as rheumatoid arthritis, Familial Mediterranean Fever, sarcoidosis, and vasculitis. There is accumulating evidence that SAA is a reliable biomarker for these autoinflammatory and rheumatic diseases and may contribute to their pathophysiology. Hyperinflammatory syndrome associated with COVID-19 is a complex interaction between infection and autoimmunity and elevation of SAA is strongly correlated with severity of the inflammation. In this review we highlight the involvement of SAA in these different inflammatory conditions, consider its potential role and discuss whether it could be a potential target for treatment of the hyperinflammatory state of COVID-19 with many potential advantages and fewer adverse effects. Additional studies linking SAA to the pathophysiology of COVID-19 hyper-inflammation and autoimmunity are needed to establish the causal relationship and the therapeutic potential of inhibitors of SAA activity.

Indexed as

arthritidesCOVID-19cytokineshyperinflammationinflammationserum amyloid Atarget

Identifiers

PMID37007776
PMCPMC10060655
OpenAlexW4327615602

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.