Evidence map›Paper›PMID 42215869›Full record

ArticleBMC gastroenterology2026

The impact of metabolic dysfunction-associated steatotic liver disease on non-invasive fibrosis scores in patients with chronic hepatitis B: a multicenter retrospective study.

Yakup Gezer, Muhammet Rıdvan Tayşi, Arzu Tarakçı, Sevil Alkan, Selçuk Kaya, Zeynep Çelik, Sevgi Alan Doğan, Emre Bayhan, Selcen Özer Kökkızıl, Derya Tumer and 10 more

Abstract readMulticenter Study
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Yakup GezerInfectious Diseases and Clinical Microbiology Clinic, University of Health Sciences, Konya City Hospital, Konya, Türkiye. dryakupgezer@gmail.com.ORCID http://orcid.org/0000-0002-1582-7313
Muhammet Rıdvan TayşiInfectious Diseases and Clinical Microbiology Clinic, University of Health Sciences, Konya City Hospital, Konya, Türkiye.ORCID http://orcid.org/0000-0002-2609-264X
Arzu TarakçıInfectious Diseases and Clinical Microbiology Clinic, University of Health Sciences, Konya City Hospital, Konya, Türkiye.ORCID http://orcid.org/0000-0002-1245-3221
Sevil AlkanDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Çanakkale Onsekiz Mart University, Canakkale, Türkiye.ORCID http://orcid.org/0000-0003-1944-2477
Selçuk KayaDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Çanakkale Onsekiz Mart University, Canakkale, Türkiye.ORCID http://orcid.org/0000-0003-4607-2870
Zeynep ÇelikInfectious Diseases and Clinical Microbiology Clinic, Adıyaman Training and Research Hospital, Adıyaman, Türkiye.ORCID http://orcid.org/0000-0002-7151-9198
Sevgi Alan DoğanInfectious Diseases and Clinical Microbiology Clinic, Adıyaman Training and Research Hospital, Adıyaman, Türkiye.
Emre BayhanInfectious Diseases and Clinical Microbiology Clinic, Adıyaman Training and Research Hospital, Adıyaman, Türkiye.ORCID http://orcid.org/0009-0002-7624-9286
Selcen Özer KökkızılInfectious Diseases and Clinical Microbiology Clinic, Manisa City Hospital, Manisa, Türkiye.ORCID http://orcid.org/0000-0003-2905-3168
Derya TumerInfectious Diseases and Clinical Microbiology Clinic, Manisa City Hospital, Manisa, Türkiye.ORCID http://orcid.org/0000-0001-5703-7750
Ahmet DoğanDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Bolu Abant İzzel Baysal University, Bolu, Türkiye.ORCID http://orcid.org/0000-0001-5110-4027
Tuğba DemircioğluInfectious Diseases and Clinical Microbiology Clinic, Tekirdağ Dr. İsmail Fehmi Cumalioğlu City Hospital, Tekirdağ, Türkiye.ORCID http://orcid.org/0000-0002-3448-0239
Oğuz EvliceInfectious Diseases and Clinical Microbiology Clinic, University of Health Sciences, Van Training and Research Hospital, Van, Türkiye.ORCID http://orcid.org/0000-0001-6939-0367
Ahmet BasutçuInfectious Diseases and Clinical Microbiology Clinic, University of Health Sciences, Van Training and Research Hospital, Van, Türkiye.
Zeynep Burçin YılmazDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Inonu University, Malatya, Türkiye.ORCID http://orcid.org/0000-0002-6950-6013
Funda MemişoğluDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Inonu University, Malatya, Türkiye.ORCID http://orcid.org/0000-0003-3905-1182
Ekrem SalduzDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Inonu University, Malatya, Türkiye.ORCID http://orcid.org/0000-0003-2679-6361
Esra Sağlam KandemirInfectious Diseases and Clinical Microbiology Clinic, Erciş Şehit Rıdvan Çevik State Hospital, Van, Türkiye.ORCID http://orcid.org/0000-0002-3576-0742
Mustafa YükselInfectious Diseases and Clinical Microbiology Clinic, Birecik State Hospital, Şanlıurfa, Türkiye.ORCID http://orcid.org/0000-0001-6957-0333
Ethem ÖmeroğluDepartment of Medical Pathology, University of Health Sciences, Konya City Hospital, Konya, Türkiye.ORCID http://orcid.org/0000-0002-4943-6871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coexistence of metabolic dysfunction-associated steatotic liver disease (MASLD) and chronic hepatitis B (CHB) may influence liver fibrosis, but the relationship between these conditions remains unclear. MASLD may also affect the performance of non-invasive tests (NITs) in CHB. Recently developed NITs, such as FIB-8 and FIB-9, were designed for MASLD patients but have not been assessed in those with both CHB and MASLD. This study aimed to comparatively assess the diagnostic performance of various NITs for predicting significant fibrosis in CHB patients stratified by MASLD status.

methodsIn this multicenter retrospective study, CHB patients who underwent liver biopsy were analyzed. Significant fibrosis was defined as ISHAK stage ≥ 3, and hepatic steatosis as ≥ 5% fat accumulation on biopsy. The performance of 20 NITs in predicting significant fibrosis was assessed in the overall cohort and in MASLD-positive and MASLD negative groups.

resultsA total of 1545 patients were included, of whom 328 (21.2%) were MASLD-positive. More than half of the MASLD-positive patients had a single cardiometabolic risk factor. In the MASLD-negative group, FIB-4 showed the highest area under the receiver operating characteristic curve (AUROC) value (0.660), whereas in the MASLD-positive group, the highest AUROC was observed for FIB-8 (0.728). Furthermore, the FIB-8, Lok, and ATA scores demonstrated significantly higher AUROC values in the MASLD-positive group than in the MASLD-negative group (0.728, 0.726, and 0.716 vs. 0.535, 0.590, and 0.600, respectively; p = 0.008, 0.002, and 0.008). No significant differences were observed in the performance of the remaining NITs according to MASLD status.

conclusionsThe diagnostic performance of NITs for predicting significant fibrosis in CHB patients varies according to MASLD status. FIB-8, Lok, and ATA scores demonstrated significantly higher diagnostic accuracy in MASLD-positive patients, suggesting that metabolic factors may influence the discriminative capacity of fibrosis markers. Nevertheless, all evaluated NITs demonstrated low-to-moderate diagnostic performance across all groups, limiting their standalone clinical utility and highlighting the need for more accurate non-invasive fibrosis models in this population.

trial registrationNot applicable.

Indexed as

Fatty LiverHepatitis B, ChronicLiver CirrhosisAdultBiopsyFemaleHumansLiverMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexFIB-8Fibrosis-4Hepatitis B virusNon-invasive testSteatotic liver disease

Identifiers

PMID42215869
PMCPMC13326284

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.