Evidence map›Paper›PMID 24241909›Full record

ArticlePediatric nephrology (Berlin, Germany)2014

Urine biomarkers for monitoring juvenile lupus nephritis: a prospective longitudinal study.

Louise Watson, Kjell Tullus, Clarissa Pilkington, Christine Chesters, Stephen D Marks, Paul Newland, Caroline A Jones, Michael W Beresford

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.5field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Lupus Nephritis in Children: Novel Perspectives.Medicina (Kaunas, Lithuania) · 2023
    Review
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  8. Review
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Review
  14. Review
  15. Article
  16. Biomarkers of lupus nephritis histology and flare: deciphering the relevant amidst the noise.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
    Review
  17. Article
  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

8 authors at 4 institutions in 1 country.

Louise WatsonDepartment of Women's and Children's Health, University of Liverpool, Liverpool, UK, lw1@liv.ac.uk.
Kjell Tullus
Clarissa Pilkington
Christine Chesters
Stephen D Marks
Paul Newland
Caroline A Jones
Michael W Beresford
Alder Hey Children's NHS Foundation Trust · GBGreat Ormond Street Hospital · GBUniversity College London · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn juvenile-onset systemic lupus erythematosus (JSLE), renal involvement (lupus nephritis) is frequently seen and can result in long-term morbidity. This prospective longitudinal study aimed to identify the utility of standard and/or novel biomarkers for monitoring and predicting lupus nephritis in a real world setting.

methodsUsing an unselected JSLE cohort, urine samples were collected during routine clinical review. Protein concentrations of urinary monocyte chemo-attractant protein 1 (uMCP1) and neutrophil gelatinase-associated lipocalin (uNGAL) were analysed along with standard disease activity markers, and were compared with current and subsequent disease activity.

resultsJSLE patients (n = 64; median age 14.1 years) were seen at 3 (interquartile range: 2-5) clinical reviews over 364 (182-532) days. Multivariate analysis demonstrated uMCP1 and serum C3 as independent variables (p < 0.001) for active renal disease at the time of the current review. uMCP1 was an excellent predictor of improved renal disease over time (AUC: 0.81; p = 0.013). uNGAL was a good predictor of worsened renal disease activity (AUC 0.76; p = 0.04) over time.

conclusionBiomarkers (uMCP1, serum C3) can indicate current renal involvement in JSLE, whilst uMCP1 and uNGAL are able to predict subsequent renal disease activity changes. Moving towards biomarker-led monitoring may improve the renal outcome for our patients.

Indexed as

Acute-Phase ProteinsAdolescentAge of OnsetBiomarkersCase-Control StudiesChemokine CCL2ChildChild, PreschoolChi-Square DistributionComplement C3Disease ProgressionFemaleHumansInfantLinear ModelsLipocalin-2Acute-Phase ProteinsBiomarkersC3 protein, humanCCL2 protein, humanChemokine CCL2Complement C3LCN2 protein, humanLipocalin-2LipocalinsProto-Oncogene Proteins

Identifiers

PMID24241909
OpenAlexW2071385041

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.