Evidence map›Paper›PMID 30680696›Full record

ArticleInflammation2019

Calgranulin B and KL-6 in Bronchoalveolar Lavage of Patients with IPF and NSIP.

David Bennett, Martina Salvini, Annalisa Fui, Giuseppe Cillis, Paolo Cameli, Maria Antonietta Mazzei, Antonella Fossi, Rosa Metella Refini, Paola Rottoli

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Acute Exacerbations of Interstitial Lung Diseases: Focus on Biomarkers.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

David BennettRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy. david.btt@gmail.com.ORCID http://orcid.org/0000-0001-5354-152X
Martina SalviniRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Annalisa FuiRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Giuseppe CillisRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Paolo CameliRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Maria Antonietta MazzeiDiagnostic Imaging Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Siena, Italy.
Antonella FossiRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Rosa Metella RefiniRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
Paola RottoliRespiratory Diseases and Lung Transplantation Unit, AOUS - Department of Medical, Surgical and Neurological Sciences, University of Siena, Viale Bracci, 16 -, 53100, Siena, Italy.
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP) are the most frequent idiopathic interstitial pneumonias. The aim of this study was to evaluate concentrations of calgranulin B and Krebs von den Lungen 6 (KL-6) in bronchoalveolar lavage (BAL) fluid of patients with IPF and idiopathic NSIP (i-NSIP) with fibrotic pattern. Thirty patients with IPF (68.73 ± 8.63 years), 30 with i-NSIP (68.33 ± 7.45 years), and healthy controls were included in the study. Calgranulin B and KL-6 both proved to be significantly higher in BAL of IPF and i-NSIP patients than in healthy controls (p < 0.05). Calgranulin B showed several significant correlations with functional parameters (oxygen demand at rest, 6-min walking test (6MWT), and PFTs); KL-6 was correlated with oxygen demand at rest and during 6MWT. Patients with higher concentrations of both biomarkers (> 75th percentile) had more advanced disease with lower values of FEV1%, FVC%, RV%, TLC%, DLCO% of predicted, distance walked in 6MWT, and BAL neutrophil percentage. Calgranulin B and KL-6 in BAL proved to be reliable biomarkers of IPF and i-NSIP and to have prognostic meaning, discriminating severe and advanced patients. The combination of the two biomarkers can facilitate the stratification of severity.

Indexed as

AgedBiomarkersBronchoalveolar Lavage FluidCalgranulin BCase-Control StudiesCell CountHumansIdiopathic Interstitial PneumoniasIdiopathic Pulmonary FibrosisMiddle AgedMucin-1NeutrophilsOxygen ConsumptionSeverity of Illness IndexBiomarkersCalgranulin BMUC1 protein, humanMucin-1biomarkersbronchoalveolar lavagecalgranulin Bidiopathic pulmonary fibrosisKL-6non-specific interstitial pneumonia

Identifiers

PMID30680696
OpenAlexW2911272936

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.