Evidence map›Paper›PMID 29226106›Full record

ReviewJournal of clinical and translational hepatology2017

Elevated Liver Enzymes in Asymptomatic Patients - What Should I Do?

Mazyar Malakouti, Archish Kataria, Sayed K Ali, Steven Schenker

Abstract readReview
In one paragraph

Review in Journal of clinical and translational hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Overlap syndromes in autoimmune liver disease: a review.Translational gastroenterology and hepatology · 2025
    Review
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  11. Remotely controlled drug release in deep brain regions of non-human primates.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Article
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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

4 authors.

Mazyar MalakoutiDivision of Gastroenterology and Nutrition, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Archish KatariaDepartment of Internal Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Sayed K AliDepartment of Internal Medicine, University of Central Florida, College of Medicine, Orlando, FL, USA.
Steven SchenkerDivision of Gastroenterology and Nutrition, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated liver enzymes are a common scenario encountered by physicians in clinical practice. For many physicians, however, evaluation of such a problem in patients presenting with no symptoms can be challenging. Evidence supporting a standardized approach to evaluation is lacking. Although alterations of liver enzymes could be a normal physiological phenomenon in certain cases, it may also reflect potential liver injury in others, necessitating its further assessment and management. In this article, we provide a guide to primary care clinicians to interpret abnormal elevation of liver enzymes in asymptomatic patients using a step-wise algorithm. Adopting a schematic approach that classifies enzyme alterations on the basis of pattern (hepatocellular, cholestatic and isolated hyperbilirubinemia), we review an approach to abnormal alteration of liver enzymes within each section, the most common causes of enzyme alteration, and suggest initial investigations.

Indexed as

Aminotransferase elevationApproach to alteration of liver enzymesElevated liver enzymesEvaluation of abnormal liver enzymesLiver function tests

Identifiers

PMID29226106
PMCPMC5719197

What OpenQuestion 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 OpenQuestion graph.