Evidence map›Paper›PMID 40673062›Full record

ArticleBreathe (Sheffield, England)2025

Lung implantable devices: the issue with granulation tissue.

Akash Gupta, Dirk-Jan Slebos, Simon D Pouwels

Abstract read
In one paragraph

Article in Breathe (Sheffield, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Akash GuptaDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Dirk-Jan SlebosDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-9555-3422
Simon D PouwelsDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-7345-8061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After decades of development and experience, lung implantable devices have proven to be invaluable in the management of respiratory diseases and complications. Unfortunately, granulation tissue hyperplasia remains a common and challenging complication, compromising implant function through obstruction, migration and increased susceptibility to infection, ultimately requiring frequent reinterventions. Reinterventions often involve bronchoscopy for tissue debulking or device replacement, all of which significantly affect patient wellbeing and healthcare resources. Granulation tissue hyperplasia results from an imbalance in the interactions between the host and the implant. While most patients achieve implant integration, persistent stressors cause chronic inflammation leading to granulation tissue hyperplasia. While several studies have provided insights, the disease endotype remains largely undefined. Variability in incidence and severity across devices and patient populations complicates characterisation. Surface factors, including implant material, adsorbed proteins and the colonising microorganisms, as well as geometrical and biomechanical mismatches with the airways may contribute to pathological tissue responses. Future research aimed at gaining a fundamental understanding of the stressors and biological mechanisms driving granulation tissue hyperplasia is essential for preventing and treating this complication. Ultimately, the goal is to reduce morbidity and improve the longevity of implants and treatment benefit.

Identifiers

PMID40673062
PMCPMC12260914

What OpenQuestion holds

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LicenceCC BY-NC
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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.