Evidence map›Paper›PMID 28841822›Full record

ArticleBMC gastroenterology2017

Diminished accuracy of biomarkers of fibrosis in low replicative chronic hepatitis B.

Faisal M Sanai, Taha Farah, Khalid Albeladi, Faisal Batwa, Yaser Dahlan, Mohammed A Babatin, Hamad Al-Ashgar, Hadeel AlMana, Khaled S Alsaad, Khalid AlSwat and 4 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC gastroenterology, 2017. 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
0.3field-weighted citation impact, top 36% 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

14 authors at 6 institutions in 1 country.

Faisal M SanaiLiver Disease Research Center, King Saud University, Riyadh, Saudi Arabia. sanaifa@ngha.med.sa.
Taha FarahGastroenterology Unit, Department of Medicine, King Abdulaziz Medical City, PO Box: 9515, Jeddah, 21423, Saudi Arabia.
Khalid AlbeladiGastroenterology Unit, Department of Medicine, King Abdulaziz Medical City, PO Box: 9515, Jeddah, 21423, Saudi Arabia.
Faisal BatwaGastroenterology Unit, Department of Medicine, King Abdulaziz Medical City, PO Box: 9515, Jeddah, 21423, Saudi Arabia.
Yaser DahlanGastroenterology Unit, Department of Medicine, King Abdulaziz Medical City, PO Box: 9515, Jeddah, 21423, Saudi Arabia.
Mohammed A BabatinDivision of Gastroenterology, Department of Medicine, King Fahad Hospital, Jeddah, Saudi Arabia.
Hamad Al-AshgarDivision of Gastroenterology, Department of Medicine, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Hadeel AlManaDepartment of Pathology, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Khaled S AlsaadDepartment of Pathology, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Khalid AlSwatLiver Disease Research Center, King Saud University, Riyadh, Saudi Arabia.
Abdulrahman AljumahHepatobiliary Sciences & Liver Transplantation, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Ibrahim H AlTraifHepatobiliary Sciences & Liver Transplantation, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Bahaa E KailaniGastroenterology Unit, Department of Medicine, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia.
Khalid I BzeiziDepartment of Gastroenterology, Prince Sultan Military Medical City, Riyadh, Saudi Arabia.
King Abdulaziz Medical City · SAKing Faisal Specialist Hospital & Research Centre · SAKing Saud University · SAKing Fahad Hospital Jeddah · SAKing Fahd Armed Forces Hospital · SARiyadh Armed Forces Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the diagnostic accuracy of aspartate aminotransferase (AST)-to-platelet ratio index (APRI), fibrosis-4 index (FIB-4), AST/alanine aminotransferase (ALT) ratio (AAR), and age-platelet index (API) for significant fibrosis (Metavir F2-4) in low-replicative (HBV DNA <20,000 IU/mL) chronic hepatitis B virus (HBV) patients.

methodsThe sensitivity, specificity, and area under the receiver-operating characteristic curve (AUROC) of HBeAg-negative, low-replicative (n = 213) and high-replicative (HBV DNA ≥20,000 IU/mL, n = 153) patients was assessed.

resultsOverall, 113 patients (30.9%) had F2-4 fibrosis. Of the low and high-replicative patients, 40 (18.8%) and 73 (47.7%) had F2-4, respectively (P < 0.0001). APRI ≥0.5 less frequently identified F2-4 fibrosis in low vs. high-replicative patients (48.7% vs. 69.6%, P = 0.032) and AAR identified it more frequently in low-replicative patients (37.5% vs. 19.4%, P = 0.037). FIB-4 and API were not different (P > 0.05) for identifying F2-4 fibrosis in low and high-replicative patients. Higher specificities were seen at the lowest cut-offs in low vs. high-replicative states for APRI (≥0.5, 98% vs. 68.9%), AAR (84.3% vs. 76.6%), FIB-4 (≥1.45, 97.5% vs. 87.8%) and API (>4, 94.8% vs. 93.8%). At ROC-defined thresholds, APRI (≥0.33), AAR (≥0.93), FIB-4 (≥0.70) and API (>2) showed greater AUROCs for F2-4 diagnosis in low replicative (0.80, 0.62, 0.81 and 0.71, respectively) vs. high-replicative patients (0.73, 0.52, 0.67 and 0.69, respectively).

conclusionAll 4 biomarkers in both, low and high-replicative HBV demonstrate modest accuracy for fibrosis diagnosis at conventional cut-offs. Lowering the cut-offs may increase the diagnostic relevance of these biomarkers, particularly for APRI and FIB-4 in low-replicative disease.

Indexed as

AdultAlanine TransaminaseArea Under CurveAspartate AminotransferasesBiomarkersDNA ReplicationDNA, ViralFemaleHepatitis B, ChronicHepatitis B virusHumansLiver CirrhosisMaleMiddle AgedPlatelet CountReference ValuesAlanine TransaminaseAspartate AminotransferasesBiomarkersDNA, ViralAPRIBiomarkersFibrosisHepatitis B

Identifiers

PMID28841822
PMCPMC5574089
OpenAlexW2746346448

What OpenQuestion holds

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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.