Evidence map›Paper›PMID 35386158›Full record

ArticleCureus2022

Assessment of Liver Fibrosis Using Non-invasive Screening Tools in Individuals With Diabetes Mellitus and Metabolic Syndrome.

Namitha Shaji, Abhishek Singhai, Radha Sarawagi, Abhijit P Pakhare, V N Mishra, Rajnish Joshi

Open access · diamondAbstract read
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Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 7 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

6 authors at 1 institution in 1 country.

Namitha ShajiInternal Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, IND.
Abhishek SinghaiInternal Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, IND.
Radha SarawagiRadiodiagnosis, All India Institute of Medical Sciences (AIIMS), Bhopal, IND.
Abhijit P PakhareCommunity and Family Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, IND.
V N MishraInternal Medicine, All India Institute of Medical Sciences (AIIMS), Bhopal, IND.
Rajnish JoshiInternal Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
All India Institute of Medical Sciences Bhopal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite the rising prevalence of liver fibrosis and its potentially life-threatening complications, there are currently no recommendations or guidelines to screen individuals with diabetes mellitus (DM) or high body mass index (BMI) for non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steatohepatitis (NASH). This is mainly due to the uncertain performance and feasibility of presently available screening tools. This research was carried out to assess the diagnostic accuracy of non-invasive screening tools in predicting liver fibrosis in individuals with DM and metabolic syndrome.

methodsFor this study, 140 patients with DM and metabolic syndrome were identified between March 2020 and October 2021. Liver stiffness measurement by point shear wave elastography was considered the gold standard in our study. Five non-invasive scores such as aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, aspartate aminotransferase to platelet ratio index (APRI) score, fibrosis-4 (FIB-4) index, BARD score, and NAFLD fibrosis score were determined in all of the participants. Using receiver operator characteristic (ROC) curve analysis, sensitivity, specificity, both negative predictive value (NPV) and positive predictive value (PPV) were calculated for each of these scores. The area under the ROC curve (AUROC) was used to calculate the diagnostic accuracy of these scores.

resultsOf the 507 individuals screened, 140 were enrolled for the study. Among the 140 participants, 83 were male (59.29%), 30 (21.43%) had liver fibrosis as per liver stiffness measurement by point shear wave elastography, and 110 (78.57%) did not have fibrosis. The mean age and mean BMI were 54.53±12.42 and 27.37±2.73 respectively in the 'Fibrosis' group and 56.20 ±11.76 and 27.10±4.22 in the 'No fibrosis' group. The major finding of our study was that all these scores had relatively high NPV (>85 %) for predicting liver fibrosis in our cohort. The AST/ALT ratio had the highest NPV (90.28%) followed by APRI Score (88.94%). The AUROC for FIB-4 Score, NAFLD-fibrosis score, APRI score, AST/ALT ratio, and BARDd score were 0.6669, 0.657, 0.655, 0.637 and 0.599, respectively. The FIB-4 index (p=0.005) had the highest AUROC, followed by the NAFLD-fibrosis score (p =0.009). But all the scores had relatively low specificity (<60 %), PPV (<35 %), and accuracy (<63 %).

conclusionThe FIB-4 index and NAFLD-fibrosis score can be used reliably to exclude liver fibrosis in individuals with DM and metabolic syndrome in the Indian population, but may not be useful in accurately diagnosing liver fibrosis. Utilization of these non-invasive and cost-effective screening tools in routine practice may have promising results in predicting liver fibrosis in 'at risk' populations.

Indexed as

cirrhosisdiabetes type 2hepatic fibrosismetabolic disordernonalcoholic fatty liver disease (nafld)

Identifiers

PMID35386158
PMCPMC8967074
OpenAlexW4214643259

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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.