Evidence map›Paper›PMID 23761098›Full record

ArticleLupus2013

Erythrocyte sedimentation rate is a predictor of renal and overall SLE disease activity.

G Stojan, H Fang, L Magder, M Petri

Open access · greenAbstract read
In one paragraph

Article in Lupus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Identification and Characterization of CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
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  7. Review
  8. Review
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  10. Article
  11. Article
  12. Article
  13. Platelet distribution width as a novel indicator of disease activity in systemic lupus erythematosus.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2018
    Article
  14. Article
  15. Observational
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  18. Review
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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 3 institutions in 1 country.

G StojanDivision of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
H Fang
L Magder
M Petri
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of Maryland, Baltimore · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Lupus CohortR01AR043727 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 1997 to 2015
$8.2M
Multidisciplinary Rheumatology Training ProgramT32AR048522 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, LIVIA A CASCIOLA-ROSEN · 2003 to 2026
$6.4M
HOPKINS LUPUS COHORTR55AR043727 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 1996 to 1996
–
NCRR NIH HHS UL1 RR 025005NCRR NIH HHS UL1 RR025005NIAMS NIH HHS AR 43727NIAMS NIH HHS R01 AR043727NIAMS NIH HHS T32 AR048522
6 · The paper itself

Abstract

objectiveOur aim was to assess whether erythrocyte sedimentation rate (ESR) levels correlate with the level of disease activity at each visit and whether a change in ESR could be useful in predicting changes in disease activity.

methodsThousands of visits in a prospective systemic lupus erythematosus (SLE) cohort were analyzed to assess the association of ESR and level of disease activity. We explored whether ESR was cross-sectionally associated with disease activity, whether changes in ESR were associated with changes in disease activity, and whether changes in ESR predicted future changes in disease activity. Visits when patients had cancer, infection, pregnancy or were in renal failure were excluded.

resultsAfter adjusting for confounding factors, mild (25-50 mm/h), moderate (51-75 mm/h), and marked (>75 mm/h) elevations in ESR levels at a given visit correlated with the SELENA-SLEDAI, the Physician Global Assessment (PGA), fatigue, renal, joint, rash, serositis, hematological visual analogue scale (VAS), hematuria and proteinuria (p<0.0001) levels at that visit. A change in ESR between two visits was highly correlated with a concurrent change in PGA, renal, fatigue and joint VAS (p<0.0001). There was no statistically significant correlation between change in ESR between two visits and change in disease activity at a future visit. The subgroup analysis of patients who do not have anti-dsDNA and low complement levels as a feature of their disease showed ESR to be positively associated with SLEDAI, PGA, renal and joint VAS at that visit (p<0.0001), but there were few significant associations between changes in ESR and changes in disease activity.

conclusionESR is associated with disease activity in SLE measured by the SELENA-SLEDAI, the PGA, and with organ-specific activity including serositis, rash, joint, renal and hematological VAS. Grouping baseline ESR into four levels does associate with both global and organ-specific disease activity. A change in ESR between two visits was highly correlated with a change in PGA, renal, fatigue and joint VAS. In patients without anti-dsDNA and low complement levels, ESR was positively associated with SLEDAI, PGA, renal and joint VAS at the same visit. Until more specific biomarkers are validated, serial ESR does have some utility in following disease activity in SLE.

Indexed as

Blood SedimentationCohort StudiesCross-Sectional StudiesFatigueFemaleHumansJointsKidneyLupus Erythematosus, SystemicMaleProspective StudiesSeverity of Illness IndexTime Factorsdisease activityErythrocyte sedimentation rateESRsystemic lupus erythematosus

Identifiers

PMID23761098
PMCPMC3703841
OpenAlexW1964335111

What OpenQuestion holds

Textmetadata
LicenceTDM
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.