ReviewDer Internist2020
[Evidence-based treatment of cystic fibrosis].
Review in Der Internist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Management of Adult Bronchiectasis: Consensus-Based Guidelines of the German Respiratory Society.Respiration; international review of thoracic diseases · 2026Guideline
- Cellular Models and Functional Assays for Assessing CFTR Function: A Comprehensive Review.International journal of molecular sciences · 2026Review
- Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task.Diagnostics (Basel, Switzerland) · 2024Review
- Risk Assessment for Patients with Chronic Respiratory Conditions in the Context of the SARS-CoV-2 Pandemic Statement of the German Respiratory Society with the Support of the German Association of Chest Physicians.Respiration; international review of thoracic diseases · 2022Review
- Lumacaftor and Matrine: Possible Therapeutic Combination to Counteract the Inflammatory Process in Cystic Fibrosis.Biomolecules · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mucoviscidosis (cystic fibrosis [CF]) is the most common autosomal recessive inherited multisystem disease with fatal outcome. It is caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, which lead to a dysfunctional chloride channel and a defective CFTR protein. As a consequence, retention of insufficiently hydrated mucus affects multiple essential organs, mainly the lungs and airways, pancreas, liver, biliary tract and intestines. This leads to inflammation and infection, fibrosis and progressive tissue destruction. Respiratory failure is the major cause of mortality; however, in the no more than 30 years since the molecular characterization of the basic CFTR defect causing CF, tremendous success has been made with respect to the long-term prognosis of people with CF. This improvement in the prognosis was achieved by the cooperative spirit and networking of the very active and international CF research community and by establishing a multidisciplinary clinical CF team that implements the existing evidence in various aspects of standardized care together with the CF patient. This narrative review article presents the evidence in selected aspects of CF treatment, with special consideration of the most recent development of highly effective CFTR modulator treatment. This treatment will soon become available for more than 90% of the global CF patients and transform the pathophysiology as well as the course of disease towards a treatable chronic condition in internal medicine.
Indexed as
Identifiers
What OpenQuestion holds
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.