Evidence map›Paper›PMID 31341203›Full record

ArticleScientific reports2019

A Pro-Inflammatory Biomarker-Profile Predicts Amputation-Free Survival in Patients with Severe Limb Ischemia.

Hendrik Gremmels, Martin Teraa, Saskia C A de Jager, Gerard Pasterkamp, Gert J de Borst, Marianne C Verhaar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Implications of inflammation and sex in lower extremity arterial disease.European journal of clinical investigation · 2026
    Review
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  7. Article
  8. Article
  9. IL-6 and Cardiovascular Risk: A Narrative Review.Current atherosclerosis reports · 2024
    Review
  10. Article
  11. Review
  12. Systematic Review on the Role of IL-6 and IL-1β in Cardiovascular Diseases.Journal of cardiovascular development and disease · 2024
    Review
  13. Evaluation of Plasma Biomarkers for Causal Association With Peripheral Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Observational
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

6 authors at 2 institutions in 1 country.

Hendrik GremmelsDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands. h.gremmels@umcutrecht.nl.ORCID http://orcid.org/0000-0002-7818-620X
Martin TeraaDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-6751-6752
Saskia C A de JagerDepartment of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Gerard PasterkampDepartment of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Gert J de BorstDepartment of Vascular Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Marianne C VerhaarDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-3276-6428
University Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with Severe Limb Ischemia (SLI) have a high risk of amputation and mortality. Here, we investigated a panel of serum biomarkers with the aim of identifying biomarkers for major events and mechanisms that contribute to disease progression in established SLI. A panel of biomarkers including GROα, HGF, SCF, SCGFβ, SDF1α, TRAIL, IL-6, IL-8, FGFβ, GCSF, GMCSF, IP10, MCP1, PDGFbb, RANTES, TNFα, VEGF, sICAM, sVCAM, TM, and E-selectin was measured in serum samples from a subset (n = 108) of the JUVENTAS cohort. The primary outcome was major events, defined as major amputation or death. The inflammatory biomarkers IL-6, IL-8, GROα and IP-10 were significantly elevated in patients who reached a major endpoint. Results were validated in a secondary cohort (n = 146). Cox regression showed that adjusted hazard ratios were 1.40 (95% CI: 1.15-1.70, p = 0.0007) and 1.48 (95% CI 1.16-1.87, p = 0.001) for IL-6 and IP-10 in a fully adjusted model containing both biomarkers. A prediction model using IL-6 and IP-10 showed predictive accuracy with an AUC of ~ 78% in both discovery and validation cohorts, which is higher than previously published models. We conclude that inflammatory biomarkers predict major events in patients with SLI and allow the creation of biomarker-based risk-prediction models.

Indexed as

AgedAmputation, SurgicalBiomarkersChemokine CXCL1Chemokine CXCL10ChemokinesCytokinesExtremitiesFemaleHumansInflammationInterleukin-6Interleukin-8IschemiaMaleMiddle AgedBiomarkersChemokine CXCL1Chemokine CXCL10ChemokinesCXCL10 protein, humanCytokinesInterleukin-6Interleukin-8

Identifiers

PMID31341203
PMCPMC6656730
OpenAlexW2963507504

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.