Evidence map›Paper›PMID 36157876›Full record

ArticleWorld journal of hepatology2022

Simple diagnostic algorithm identifying at-risk nonalcoholic fatty liver disease patients needing specialty referral within the United States.

Naim Alkhouri, Pankaj Aggarwal, Phuc Le, Julia Payne, Celine Sakkal, Prido Polanco, Stephen Harrison, Mazen Noureddin

Abstract read
In one paragraph

Article in World journal of hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Naim AlkhouriDepartment of Hepatology, Arizona Liver Health, Chandler, AZ 85712, United States. naim.alkhouri@gmail.com.
Pankaj AggarwalDepartment of Hepatology, Arizona Liver Health, Chandler, AZ 85712, United States.
Phuc LeCenter for Value-Based Care Research, Cleveland Clinic, Cleveland, OH 44195, United States.
Julia PayneCenter for Value-Based Care Research, Cleveland Clinic, Cleveland, OH 44195, United States.
Celine SakkalDepartment of Hepatology, Arizona Liver Health, Chandler, AZ 85712, United States.
Prido PolancoDepartment of Hepatology, Arizona Liver Health, Chandler, AZ 85712, United States.
Stephen HarrisonDepartment of Research, Pinnacle Research, San Antonio, TX 78229, United States.
Mazen NoureddinDepartment of Hepatology, Cedars Sinai Medical Center, Los Angeles, CA 90048, United States.

Funding

AHRQ HHS R01 HS026937
6 · The paper itself

Abstract

backgroundThere is an urgent need to risk stratify patients with suspected nonalcoholic fatty liver disease (NAFLD) and identify those with fibrotic nonalcoholic steatohepatitis. This study aims to apply a simple diagnostic algorithm to identify subjects with at-risk NAFLD in the general population.

aimTo apply a simple diagnostic algorithm to identify subjects with at-risk NAFLD in the general population.

methodsAdult subjects were included from the National Health and Nutrition Examination Survey database (2017-2018) if they had elevated alanine aminotransferase (ALT) and excluded if they had evidence of viral hepatitis or significant alcohol consumption. A fibrosis-4 (FIB4) cutoff of 1.3 differentiated patients with low risk

resultsThree thousand six hundred and sixty-nine patients were identified who met all inclusion and exclusion criteria. From this cohort, 911 (28.6%) patients had elevated ALT of which 236 (22.9%) patients had elevated FIB4 scores ≥ 1.3. Among patients with elevated FIB4 score, 75 (24.4%) had elevated FAST scores, ruling in advanced fibrosis. This accounts for 2.0% of the overall study population. Applying this algorithm to 737 patients with T2DM, 213 (35.4%) patients had elevated ALT, 85 (37.9%) had elevated FIB4, and 42 (46.1%) had elevated FAST scores. This accounts for 5.7% of the population with T2DM.

conclusionThe application of this algorithm to identify at-risk NAFLD patients in need for specialty care is feasible and demonstrates that the vast majority of patients do not need subspecialty referral for NAFLD.

Indexed as

DiabetesEndocrinologyHepatologyNon-alcoholic fatty liver diseaseNonalcoholic steatohepatitisPrimary care

Identifiers

PMID36157876
PMCPMC9453464

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Registered trials

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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.