Evidence map›Paper›PMID 37733130›Full record

ArticleDigestive diseases and sciences2023

Poor Performance of Non-invasive Tests for Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: A Multicentric Asian Study.

Umang Arora, Ritik M Goyal, Kevin K J Teh, Yiying Pei, George B B Goh, Su Lin, Rahul Kumar, Sagnik Biswas, Manas Vaishnav, Shekhar Swaroop and 14 more

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Prevalence and outcome of sarcopenia in non-alcoholic fatty liver disease.World journal of gastrointestinal pathophysiology · 2024
    Article
  8. Editorial: The tip of the non-alcoholic fatty liver disease iceberg-the more we know, the smaller it gets?JGH open : an open access journal of gastroenterology and hepatology · 2023
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Umang AroraDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Ritik M GoyalDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Kevin K J TehDepartment of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore.
Yiying PeiDepartment of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore.
George B B GohDepartment of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore.
Su LinDepartment of Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Rahul KumarDepartment of Gastroenterology and Hepatology, Changi General Hospital, Singapore, Singapore.
Sagnik BiswasDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Manas VaishnavDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Shekhar SwaroopDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Piyush PathakDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Sabreena SheikhDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Vishwesh BharadiyaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Anshuman ElhenceDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India.
Shivanand GamanagattiDepartment of Radiology, All India Institute of Medical Sciences, Delhi, India.
Rajni YadavDepartment of Pathology, All India Institute of Medical Sciences, Delhi, India.
Prasenjit DasDepartment of Pathology, All India Institute of Medical Sciences, Delhi, India.
Sandeep AggarwalDepartment of Surgical Disciplines, All India Institute of Medical Sciences, Delhi, India.
Narendra ChoudharyDepartment of Hepatology, Medanta the Medicity, Gurgaon, Haryana, India.
Prajna AnirvanSrirama Chandra Bhanja Medical College and Hospital, Cuttack, Orissa, India.
Shivaram P SinghSrirama Chandra Bhanja Medical College and Hospital, Cuttack, Orissa, India.
Arka DeDepartment of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Ajay DusejaDepartment of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
ShalimarDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, Delhi, 110029, India. drshalimar@aiims.edu.ORCID 0000-0003-1247-437X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-invasive tests (NITs) are useful to assess advanced fibrosis (AF) in nonalcoholic fatty liver disease (NAFLD). Data from Asian countries suggest that these tests have poor performance. We aimed to assess diagnostic accuracy of established thresholds of biomarker-based NITs and Transient Elastography (TE) in identifying AF and evaluated the utility of a two-step test approach.

methodsBiopsy-proven 641 NAFLD patients (55.2% males, median age 42 years) were included from three different centers of Asia. AF (≥ F3) was identified as per histological staging (24.8%).

resultsTE had the highest area under the receiver operating characteristic curve (AUROC) 0.82 (0.79-0.86), and all other biomarker-based NITs had low AUROC (< 0.7). NITs performed poorly at established thresholds. The combination of NITs utilizing liver stiffness measurement (LSM) and biomarkers, Agile 3+ and FAST, demonstrated acceptable diagnostic accuracy (AUROC 0.82 and 0.78, respectively), but none were superior to LSM alone. LSM measured using appropriate M and XL probes remained accurate regardless of body mass index (BMI); NFS and APRI scores were less accurate at higher BMI ranges. A two-step approach using NFS rule-out criteria (< - 2.97 to rule out) followed by LSM (< 7.3 kPa to rule out and ≥ 12.7 kPa to rule in) correctly classified 62.4% of patients, with only 10.2% of patients incorrectly classified.

conclusionNITs have not been validated to identify AF in the Asian NAFLD population, and internationally accepted thresholds yield high false-negative rates. LSM and LSM-based combination tests remain the most accurate.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseAdultBiomarkersBiopsyFemaleFibrosisHumansLiverLiver CirrhosisMalePredictive Value of TestsROC CurveBiomarkersCirrhosisFatty liverHepatitisLiver biopsyNASHNITs

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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.