Evidence map›Paper›PMID 25352328›Full record

ReviewDrug safety2014

Liver safety assessment in special populations (hepatitis B, C, and oncology trials).

Gerd A Kullak-Ublick, Michael Merz, Louis Griffel, Neil Kaplowitz, Paul B Watkins

Open access · hybridAbstract readReview
In one paragraph

Review in Drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Gerd A Kullak-UblickDepartment of Clinical Pharmacology and Toxicology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland, gerd.kullak@usz.ch.
Michael Merz
Louis Griffel
Neil Kaplowitz
Paul B Watkins
Novartis (Switzerland) · CHThe Hamner Institutes for Health Sciences · USUniversity Hospital of Zurich · CHUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The FDA guidance for industry in the premarketing clinical evaluation of drug-induced liver injury (DILI) is the most specific regulatory guidance currently available and has been useful in setting standards for the great majority of clinical indications involving subjects with a low risk of liver disorders. However, liver safety assessment faces challenges in populations with underlying liver disease, such as viral hepatitis or metastatic cancer. This is an important issue because there are currently many promising anti-viral and oncologic therapies in clinical development, with a trend toward oral therapies with reduced side effects. Without clearer guidelines, questions regarding liver safety may become a major factor in regulatory approval and ultimately physician uptake of the new treatments. The lack of consensus in defining stopping rules based on serum alanine aminotransferase (ALT) levels underscores the need for precompetitive data sharing to improve our understanding of DILI in these populations and to allow evidence-based rather than empirical definition of stopping rules. A workshop was convened to discuss best practices for the assessment of drug-induced liver injury (DILI) in clinical trials.

Indexed as

Drug DesignChemical and Drug Induced Liver InjuryClinical Trials as TopicDrug IndustryDrug-Related Side Effects and Adverse ReactionsHepatitis BHepatitis CHumansNeoplasmsRisk AssessmentUnited StatesUnited States Food and Drug Administration

Identifiers

PMID25352328
PMCPMC4212149
OpenAlexW2047902268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.