Evidence map›Paper›PMID 42009824›Full record

ArticleScientific reports2026

Optimized CAP cut-offs for metabolic dysfunction associated steatotic liver disease in patients living with obesity: a large biopsy-based prospective study.

Riham Soliman, Mohamed Elbasiony, Ahmed Helmy, Nabiel Mikhail, Helmy Ezzat, Ahmed Mehrez Gad, Ebrahim Abdel Halim, Khaled Zalata, Rokia Masoud, Ayman Hassan and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Riham SolimanTechnical Institute of Nursing, Sherbin, Mansoura, Egypt.
Mohamed ElbasionyEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Ahmed HelmyEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Nabiel MikhailEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Helmy EzzatEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Ahmed Mehrez GadEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Ebrahim Abdel HalimSurgery Department, Faculty of Medicine, Horus University, New Damietta, Egypt.
Khaled ZalataPathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Rokia MasoudPathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Ayman HassanTechnical Institute of Nursing, Sherbin, Mansoura, Egypt.
Ahmed FarahatEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Mohamed El EmamEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt.
Gamal ShihaEgyptian Liver Research Institute and Hospital (ELRIAH), Sherbin, Mansoura, Egypt. g_shiha@mans.edu.eg.ORCID http://orcid.org/0000-0002-9338-8854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlled Attenuation Parameter (CAP) quantifies hepatic steatosis non-invasively, but current cut-offs limit diagnostic precision, especially in obese populations. We aimed to validate CAP against liver biopsy and propose optimized thresholds tailored for obesity. In this single-centre, cross-sectional, biopsy-validated study, 798 adults undergoing laparoscopic cholecystectomy (n = 629) or sleeve gastrectomy (n = 169) between 2019 and 2024 were included. All underwent Fibro Scan and wedge liver biopsy. Histology was scored by two blinded pathologists. Diagnostic accuracy of CAP was assessed using AUROC, sensitivity, specificity, predictive values, calibration, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). Newly derived cut-offs were benchmarked against existing ones. Histology revealed S0 in 72.7%, S1 in 19.7%, S2 in 7.0%, and S3 in 0.6%. Standard CAP cut-offs showed suboptimal specificity (49.7% for ≥S1, 55.8% for ≥S2). Newly derived thresholds of 290 dB/m (≥ S1) and 317 dB/m (≥ S2) improved specificity (74.4% and 82.5%) while maintaining good sensitivity (62.7% and 71.7%). NRI and DCA demonstrated superior alignment and higher net benefit compared with all published thresholds. Optimized CAP cut-offs (290 and 317 dB/m) provide better diagnostic precision and clinical utility than current thresholds strengthening MASLD screening and clinical trial eligibility, particularly in obese populations.

Indexed as

Fatty LiverObesityAdultBiopsyCross-Sectional StudiesFemaleHumansLiverMaleMiddle AgedProspective StudiesControlled attenuation parameter (CAP)Liver biopsyMASLDNon-invasive diagnosisSteatohepatitisSteatosis

Identifiers

PMID42009824
PMCPMC13096376

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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.