ArticleCurrent hepatology reports2018
Novel Approaches to Causality Adjudication in Drug-Induced Liver Disease.
Article in Current hepatology reports, 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.
- Remdesivir Discontinuation Decisions Based on Thresholds of Aminotransferase in an Observational Registry.Drugs · 2024Article
- Signatures in drug-induced liver injury.Current opinion in gastroenterology · 2020Review
- Idiosyncratic DILI: Analysis of 46,266 Cases Assessed for Causality by RUCAM and Published From 2014 to Early 2019.Frontiers in pharmacology · 2019Review
- Roussel Uclaf Causality Assessment Method for Drug-Induced Liver Injury: Present and Future.Frontiers in pharmacology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
purpose of reviewDrug induced liver injury (DILI) is a complex diagnosis dominantly based of exclusion. RECENT
findingsCurrently available causality assessment instruments are considered to be suboptimal. Expert opinion appears to be best method to adjudicate causality, but is impractical to implement on a wide scale basis. Thus, new approaches are needed, for example improving the specificity of current scoring systems. A further option would be to develop a system that utilizes computer-based scoring - which would reduce human error. Additionally, it would be ideal to have available drug specific scoring systems, based on drugs' characteristic "phenotypes" (presentation and pattern of injury). Eventually, a validated system could be integrated within the electronic health information system. SUMMARY: This review highlights an avenue to an improved Causality Assessment Tool.
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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.