Evidence map›Paper›PMID 35974947›Full record

ArticleCaspian journal of internal medicine2022

HOMA-IR index in non-diabetic patient, a reliable method for early diagnosis of liver steatosis.

Behrang Motamed, Mahsa Kohansal Vajargah, Saeed Kalantari, Afshin Shafaghi

Open access · greenAbstract read
In one paragraph

Article in Caspian journal of internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 9 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

4 authors at 2 institutions in 1 country.

Behrang MotamedDepartment of Internal Medicine, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Mahsa Kohansal VajargahDepartment of Internal Medicine, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Saeed KalantariRazi Clinical Research Development Unit, Guilan University of Medical Sciences, Rasht, Iran.
Afshin ShafaghiGI Cancer Screening and Prevention Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Guilan University of Medical Sciences · IRRazi Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: NAFLD is one of the most common liver diseases in the world. HOMA-IR as an indicator of insulin resistance is commonly used in clinical trials in NAFLD patients. The aim of this study was to evaluate the application of HOMA-IR index in the diagnosis of NAFLD. Methods: This study was performed on 54 patients with NAFLD and 54 non-NAFLD patients that referred to Razi Hospital in Rasht during 2019-2020. FibroScan was used to diagnose NAFLD in the patient group and ultrasound was used to rule it out in the control group. Metabolic and hepatic parameters were measured for each patient. Data were entered into SPSS 22 software and the necessary analyses were performed. Results: The mean age of the subjects in the study was 44.01±13.12 years and ranged from 18 to 75 years. 72.2% of people affected by NAFLD were men (p <0.001) .The optimal cut-off point for HOMA-IR in NAFLD was 1.65 with a sensitivity of 89.7% and a specificity of 76.9% in men and 1.90 with a sensitivity of 86.7% and a specificity of 82.9% in women. Overall, the optimal cut-off point for HOMA-IR in NAFLD was 1.75 with a sensitivity of 87.0% and a specificity of 81.5%. In addition, the results showed that there was no significant relationship between steatosis and hepatic fibrosis with HOMA-IR index. Conclusion: The results showed that HOMA-IR can be used as a reliable criterion for early detection of NAFLD.

Indexed as

BMIFibroScanHOMA-IRinsulin resistanceNAFLDnon-diabetic

Identifiers

PMID35974947
PMCPMC9348208
OpenAlexW4299565298

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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.