Evidence map›Paper›PMID 32314175›Full record

ArticleClinical rheumatology2020

Profile of common inflammatory markers in treatment-naïve patients with systemic rheumatic diseases.

Min Jung Kim, Eun Bong Lee, Yeong Wook Song, Jin Kyun Park

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In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 institution in 1 country.

Min Jung KimDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Eun Bong LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Yeong Wook SongDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Jin Kyun ParkDivision of Rheumatology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. jinkyunpark@gmail.com.
Seoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate and compare the clinical implications of common inflammatory markers in systemic rheumatic diseases (SRDs).

methodWe investigated the profiles of erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and white blood cell (WBC) count in treatment-naïve patients with SRDs, osteoarthritis and pneumonia diagnosed at Seoul National University Hospital during 2004-2016. SRDs included rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), ankylosing spondylitis (AS), systemic sclerosis (SSc), idiopathic inflammatory myopathy (IIM) and adult-onset Still's disease (AOSD). Associations between inflammatory markers were evaluated using Pearson's correlation and regression analysis. ROC curve analysis was performed to examine the predictive value of inflammatory markers for SRD diagnosis.

resultsWe identified a total of 1191 patients. Leukocytosis was present in < 20% SRD patients. There was marked variability in ESR and CRP levels among different SRDs. The highest mean CRP levels (mean ± SD, mg/dL) were observed in AOSD (11.3 ± 7.9), followed by RA (2.0 ± 3.3), IIM (1.8 ± 3.5), SLE (1.5 ± 3.1), SSc (0.6 ± 1.3) and AS (0.08 ± 0.1). Mean ESR (mm/h) was also highest in AOSD (71.2 ± 31.0), followed by SLE (47.3 ± 34.2), RA (45.5 ± 30.6), IIM (40.8 ± 24.8) and SSc (27.8 ± 26.0). All SRDs showed significant positive correlations between ESR and CRP: greatest in RA (r = 0.53, p < 0.001) and weakest in SLE (r = 0.20, p = 0.03). WBC correlated weakly with CRP but not with ESR in most SRDs. While the AUC for WBC count was less than that of ESR or CRP, the AUC for ESR and CRP were similar in SRD. The optimal cuff-off values for inflammatory markers predicting SRD were within or slightly above the normal limit.

conclusionsESR, CRP and WBC are not always elevated in treatment-naïve patients with SRD. Individual SRDs have a unique profile of inflammatory markers. However, routine inflammatory markers should still be interpreted with caution when diagnosing and assessing disease activity in those with SRD. Key Points •Leukocytosis and elevation of ESR and CRP are not always present in all systemic rheumatic diseases. •Inflammatory markers are often dissociated and they are not specific for disease diagnosis. •Better biomarkers, which measure disease-specific local and systemic inflammation, are needed.

Indexed as

Arthritis, RheumatoidRheumatic DiseasesAdultBiomarkersBlood SedimentationC-Reactive ProteinHumansBiomarkersC-Reactive ProteinCRPCytokineESRInflammatory markerRheumatic diseaseWBC

Identifiers

PMID32314175
OpenAlexW3017198521

What OpenQuestion holds

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Registered trials

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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.