ReviewHerz2018
Precision medicine for cardiovascular disease : Learning lessons from cardiomyopathies.
Review in Herz, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 16 citations in OpenAlex.
- Personalized care in dilated cardiomyopathy: Rationale and study design of the activeDCM trial.ESC heart failure · 2024Article
- Genotype Complements the Phenotype: Identification of the Pathogenicity of an LMNA Splice Variant by Nanopore Long-Read Sequencing in a Large DCM Family.International journal of molecular sciences · 2022Article
- Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.Clinical research in cardiology : official journal of the German Cardiac Society · 2022Article
- Identification ofInternational journal of molecular sciences · 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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence-based medicine has considerably advanced the treatment of highly prevalent cardiovascular diseases. Its implementation was driven by multicenter interventional trials in treatment and placebo cohorts, propelling numerous biomedical innovations toward standard of care. While a uniform treatment can be effective in such disease cohorts ("one size fits all"), it neglects the genetic and phenotypic individuality of a single patient and his or her disease. Accordingly, a recent observation was made that several newer "mega" trials, demanding considerable resources for their execution, showed statistically significant differences in outcome, however, with small overall efficacies that render implementation in the clinics unlikely. To overcome this concerning development, new methods for individualized treatment of cardiovascular disease are required. Rarer conditions, such as distinct cardiomyopathies, may deliver the blueprint for a paradigm shift: deep and precise phenotyping of individual patients by a multimodal approach and development of targeted treatments for smaller groups ("one treatment for many") or even for single patients ("one treatment of some").
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.