Evidence map›Paper›PMID 26142066›Full record

Observational studyClinical reviews in allergy & immunology2015

Endothelial Dysfunction and Nailfold Videocapillaroscopy Pattern as Predictors of Digital Ulcers in Systemic Sclerosis: a Cohort Study and Review of the Literature.

Ivone Silva, Andreia Teixeira, José Oliveira, Isabel Almeida, Rui Almeida, Artur Águas, Carlos Vasconcelos

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical reviews in allergy & immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Predicting the Progression of Very Early Systemic Sclerosis: Current Insights.Open access rheumatology : research and reviews · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Observational
  14. Advances in nailfold capillaroscopic analysis in systemic sclerosis.Journal of scleroderma and related disorders · 2018
    Review
  15. Review of local wound management for scleroderma-associated digital ulcers.Journal of scleroderma and related disorders · 2018
    Article
  16. Article
  17. Observational
  18. Review
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

7 authors at 3 institutions in 1 country.

Ivone SilvaAngiology and Vascular Surgery Service and Clinical Immunology Unit, Centro Hospitalar do Porto, Praça da Revista o Tripeiro, n° 42, hab 23, 4150-789, Porto, Portugal. heitor.ivone@gmail.com.
Andreia TeixeiraCINTESIS - Center for Research in Health Technologies and Information Systems Porto, Porto, Portugal.
José OliveiraClinical Pathology Department, Centro Hospitalar do Porto (CHP), Porto, Portugal.
Isabel AlmeidaClinical Immunology Unit, Porto, Portugal.
Rui AlmeidaAngiology and Vascular Surgery Service and Clinical Immunology Unit, Centro Hospitalar do Porto, Praça da Revista o Tripeiro, n° 42, hab 23, 4150-789, Porto, Portugal.
Artur ÁguasAbel Salazar Biomedical Health Institute, Porto, Portugal.
Carlos VasconcelosClinical Immunology Unit, Porto, Portugal.
Centro Hospitalar do Porto · PTUniversidade do Porto · PTCentre for Health Technology and Services Research · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raynaud's phenomenon and digital ulcers (DUs) are frequent among systemic sclerosis (SSc) patients. Our aim was to investigate the diagnostic and predictive value for DU of endothelial dysfunction biomarkers (flow-mediated dilatation (FMD), serum levels of endothelin-1 (ET-1), and ADMA), angiogenic/angiostatic biomarkers (vascular endothelial growth factor (VEGF), endoglin, and endostatin), and nailfold videocapillaroscopy (NVC). We compared our results with a literature review. In a cohort study of 77 SSc patients, we followed two groups of patients: (i) naïve DU patients (39) and (ii) active DU at baseline (38 patients) for 3 years. Telangiectasia (p < 0.001) and diffuse disease subset (p = 0.001) were significantly more frequent in patients with active DU at enrolment. Additionally, NVC late scleroderma pattern (AUC 0.846, 95%CI 0.760-0.932), lower values of FMD (AUC 0.754, 95%CI 0.643-0.864), increased serum levels of ET-1 (AUC 0.758, 95%CI 0.649-0.866), ADMA (AUC 0.634, 95%CI 0.511-0.757), and endoglin as well as low VEGF serum levels (AUC 0.705, 95%CI 0.579-0.830) were significantly associated to new DU events in the 3-year follow-up. Cox regression analysis showed that FMD > 9.41 % (HR 0.37, 95%CI 0.14-0.99); ET-1 >11.85 pmol/L (HR 3.81, 95%CI 1.41-10.26) and late NVC pattern (HR 2.29, 95%CI 0.97-5.38) were independent predictors of DU recurrence. When estimating the probability of occurrence of first DU in naïve DU patients, only late NVC pattern (HR 12.66, 95%CI 2.06-77.89) was an independent predictor factor. In conclusion, late scleroderma patterns in NVC are the best independent predictors of SSc patients who are at risk of developing DU. Endothelial dysfunction assessed by FMD and ET-1 was also found to be an independent predictor of DU recurrence in a 3-year follow-up.

Indexed as

AdolescentAdultAgedAntigens, CDBiomarkersCohort StudiesEndoglinEndothelin-1EndotheliumFemaleFingersFollow-Up StudiesHumansMaleMicroscopic AngioscopyMiddle AgedAntigens, CDBiomarkersEndoglinEndothelin-1ENG protein, humanReceptors, Cell SurfaceVascular Endothelial Growth Factor ACapillaroscopyDigital ulcerEndothelin-1Flow-mediated dilatationVEGF

Identifiers

PMID26142066
OpenAlexW755861024

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.