Evidence map›Paper›PMID 21468143›Full record

ReviewNature reviews. Rheumatology2011

C-reactive protein in rheumatology: biology and genetics.

Benjamin Rhodes, Barbara G Fürnrohr, Timothy J Vyse

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 3 pooled it
7.2field-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

116 citing papers in PubMed, 3 syntheses or guidelines pooled it, 203 citations in OpenAlex.

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  19. C-reactive protein promotes diabetic kidney disease via Smad3-mediated NLRP3 inflammasome activation.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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56 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 1 institution in 1 country.

Benjamin RhodesKing's College London, Guy's Hospital Campus, Great Maze Pond, London SE1 9RT, UK.
Barbara G Fürnrohr
Timothy J Vyse
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurement of serum C-reactive protein (CRP) level is in widespread clinical use as a sensitive marker of inflammation. CRP has a role in the clearance of bacteria and of dying and altered cells, and might also have more complex immunomodulatory functions. Impaired clearance of apoptotic cells is important in the pathogenesis of systemic lupus erythematosus (SLE), raising the possibility that CRP dysregulation plays a part in this process. We review the available functional and genetic evidence supporting a role for CRP in the pathogenesis of SLE, but recognize that inconsistencies in the existing data mean that conclusions have to be interpreted with caution. More consistent is the evidence that the genetic variants influencing basal CRP level also influence the magnitude of the acute-phase rise in CRP level in active inflammation. Initial reports suggest that these genetic effects might be large enough to directly influence clinical decision-making processes that are based on an interpretation of CRP thresholds. This concept is explored further in this article, particularly in relation to the use of the CRP-based disease activity score in the evaluation of rheumatoid arthritis, where a systematic under-scoring or over-scoring of disease activity could result from a failure to consider the genetic influences on CRP level.

Indexed as

Acute-Phase ReactionArthritis, RheumatoidBiomarkersC-Reactive ProteinHumansLupus Erythematosus, SystemicRheumatic DiseasesSeverity of Illness IndexBiomarkersC-Reactive Protein

Identifiers

PMID21468143
OpenAlexW2082293375

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.