Evidence map›Paper›PMID 30703852›Full record

ArticleHepatology (Baltimore, Md.)2019

Predicting Overt Hepatic Encephalopathy for the Population With Cirrhosis.

Elliot B Tapper

Open access · greenAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  16. Finding Common Ground With Our MASQs Off.The American journal of gastroenterology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Elliot B TapperDivision of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI.ORCID 0000-0002-0839-1515
University of Michigan · US

Funding

Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
NCATS NIH HHS KL2 TR002241
6 · The paper itself

Abstract

Hepatic encephalopathy (HE) is associated with poor quality of life, sharply increased mortality, repeated hospitalizations, falls, and motor vehicle accidents. HE manifests with a dynamic spectrum of severity. Overt HE is clinically obvious disorientation, even coma. Although multiple strategies are available to characterize early-stage HE, data are limited that validate these methods in predicting overt HE, many are impractical in clinical practice, and test cutoffs relevant to the average patient clinicians manage are lacking. To accurately and efficiently classify the risk of overt HE in the population with cirrhosis, novel strategies may be needed. Herein, we review the potential competing strategies for the prediction of overt HE. Conclusion: We propose refining diagnostic cutoffs for tests that are designed to define early HE, using overt HE as a gold standard and expanding prediction tools by using measures of components from the risk pathway for HE.

Indexed as

Hepatic EncephalopathyHumansLiver CirrhosisRisk Assessment

Identifiers

PMID30703852
PMCPMC6597301
OpenAlexW2911852906

What OpenQuestion holds

Textmetadata
LicenceTDM
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.