Evidence map›Paper›PMID 32760396›Full record

ReviewFrontiers in immunology2020

Biomarkers in the Diagnosis and Prognosis of Sarcoidosis: Current Use and Future Prospects.

Raisa Kraaijvanger, Montse Janssen Bonás, Adriane D M Vorselaars, Marcel Veltkamp

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05811962 (The Role of Serum Amyloid A in Clinical Decision-making Concerning Sarcoidosis Patients), which is not on this map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
11.0field-weighted citation impact, top 1% 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.

NCT05811962 completednot on this map

The Role of Serum Amyloid A in Clinical Decision-making Concerning Sarcoidosis Patients

TypeobservationalSponsorUniversity Medical Centre LjubljanaRan2014 to 2022Enrolled135ConditionsSarcoidosis, PulmonaryArmsNo intervention
3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 176 citations in OpenAlex.

  1. Article
  2. Derivation of a peripheral blood-based transcriptomic risk score for extrapulmonary sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2026
    Article
  3. Article
  4. Article
  5. Specific Biomarkers Involved in Sarcoidosis Diagnosis and Prognosis.International journal of molecular sciences · 2026
    Article
  6. Article
  7. Article
  8. The inflammatory fingerprint reveals immune cell populations associated with disease activity in cardiac sarcoidosis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Scoping out sarcoidosis: the evolving role of bronchoscopy.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  17. Article
  18. Review
  19. Contemporary management of sarcoidosis.Frontiers in medicine · 2026
    Review
  20. Bioinformatics analysis identifies candidate biomarkers associated with sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article

46 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Raisa KraaijvangerDepartment of Pulmonology, ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, Netherlands.
Montse Janssen BonásDepartment of Pulmonology, ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, Netherlands.
Adriane D M VorselaarsDepartment of Pulmonology, ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, Netherlands.
Marcel VeltkampDepartment of Pulmonology, ILD Center of Excellence, St. Antonius Hospital, Nieuwegein, Netherlands.
St. Antonius Ziekenhuis · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis is a heterogeneous disease in terms of presentation, duration, and severity. Due to this heterogeneity, it is difficult to align treatment decisions. Biomarkers have proved to be useful for the diagnosis and prognosis of many diseases, and over the years, many biomarkers have been proposed to facilitate diagnosis, prognosis, and treatment decisions. Unfortunately, the ideal biomarker for sarcoidosis has not yet been discovered. The most commonly used biomarkers are serum and bronchoalveolar lavage biomarkers, but these lack the necessary specificity and sensitivity. In sarcoidosis, therefore, a combination of these biomarkers is often used to establish a proper diagnosis or detect possible progression. Other potential biomarkers include imaging tools and cell signaling pathways. Fluor-18-deoxyglucose positron emission tomography and high-resolution computed tomography have been proven to be more sensitive for the diagnosis and prognosis of both pulmonary and cardiac sarcoidosis than the serum biomarkers ACE and sIL-2R. There is an upcoming role for exploration of signaling pathways in sarcoidosis pathogenesis. The JAK/STAT and mTOR pathways in particular have been investigated because of their role in granuloma formation. The activation of these signaling pathways also proved to be a specific biomarker for the prognosis of sarcoidosis. Furthermore, both imaging and cell signaling biomarkers also enable patients who might benefit from a particular type of treatment to be distinguished from those who will not. In conclusion, the diagnostic and prognostic path of sarcoidosis involves many different types of existing and new biomarker. Research addressing biomarkers and disease pathology is ongoing in order to find the ideal sensitive and specific biomarker for this disease.

Indexed as

BiomarkersClinical Decision-MakingDiagnostic ImagingHumansPeptidyl-Dipeptidase APrognosisReceptors, Interleukin-2SarcoidosisACE protein, humanBiomarkersPeptidyl-Dipeptidase AReceptors, Interleukin-2biomarkersbronchoalveolar lavagefuture biomarkersimaging biomarkerssarcoidosisserum

Identifiers

PMID32760396
PMCPMC7372102
OpenAlexW3042958851

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.