Evidence map›Paper›PMID 40611398›Full record

ReviewJournal of internal medicine2025

Gaucher disease, state of the art and perspectives.

Fabrice Camou, Marc G Berger

Abstract readReview
In one paragraph

Review in Journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Gaucher disease, state of the art and perspectives.Journal of internal medicine · 2025
    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

2 authors.

Fabrice CamouInternal Medicine and Infectious Diseases, Hôpital Haut-Lévêque, Bordeaux University Hospital, Pessac, France.
Marc G BergerHematology Biology, EA7453 CHELTER, Clermont-Ferrand University Hospital, Clermont Auvergne University, Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge about Gaucher disease (GD), considered a model for rare diseases, has considerably increased since its discovery. The pathophysiology of this lysosomal disorder is better known, and specific therapies that can control many aspects of the disease have been developed, particularly for the most common form, Type 1 GD. Yet, in part because of the rarity of GD, but also because of a lack of awareness by physicians, diagnostic delay too often leads to a belated management of patients having accumulated comorbidities. Gaucher cells, the most visible consequence of glucocerebrosidase deficiency, have been known for many years. However, the pathophysiological mechanisms underlying some major lesions, such as bone disease, predisposition to Parkinson's disease in Type 1 GD, or neurological involvement in Type 2 and Type 3 GD, remain poorly understood. Diagnostic, therapeutic, and follow-up issues associated with these symptoms remain critical to optimize the care of these patients. In this review, clinical characteristics, pathophysiology, diagnosis, treatment, and prognosis of GD are successively considered, highlighting for each of them the remaining challenges. Continued efforts to better understand pathophysiological mechanisms, use of the most modern methods such as artificial intelligence, international collaboration, and development of new therapeutic strategies seem essential for the future of this rare disease.

Indexed as

Gaucher DiseaseGlucosylceramidaseHumansPrognosisGlucosylceramidaseenzyme replacement therapyGaucher diseaseglucocerebrosidaselysosomal diseaseslysosomessubstrate reduction therapy

Identifiers

PMID40611398
PMCPMC12374764

What Socratic holds

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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 Socratic graph.