Evidence map›Paper›PMID 32765655›Full record

ArticleExperimental and therapeutic medicine2020

Comparison of serum fibrosis biomarkers for diagnosing significant liver fibrosis in patients with chronic hepatitis B.

Yuki Tsuji, Tadashi Namisaki, Kosuke Kaji, Hiroaki Takaya, Keisuke Nakanishi, Shinya Sato, Soichiro Saikawa, Yasuhiko Sawada, Kou Kitagawa, Naotaka Shimozato and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Serum biomarkers for liver fibrosis assessment.Advances in laboratory medicine · 2024
    Review
  14. Advances in laboratory medicine · 2024
    Article
  15. Article
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

16 authors at 1 institution in 1 country.

Yuki TsujiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Tadashi NamisakiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Kosuke KajiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Hiroaki TakayaThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Keisuke NakanishiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Shinya SatoThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Soichiro SaikawaThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Yasuhiko SawadaThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Kou KitagawaThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Naotaka ShimozatoThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Hideto KawarataniThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Kei MoriyaThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Ryuichi NoguchiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Takemi AkahaneThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Akira MitoroThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Hitoshi YoshijiThird Department of Internal Medicine, Nara Medical University, Kashihara, Nara 634-8522, Japan.
Nara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis B (CHB) virus continues to be a leading cause of morbidity and mortality worldwide. The diagnosis of liver fibrosis has a key role in selecting patients with CHB for antiviral treatment. However, serum biomarkers demonstrate limited diagnostic utility. The present study aimed to compare the performances of fibrosis biomarkers for diagnosing significant liver fibrosis that indicates the need for antiviral therapy in patients with CHB and to identify the most appropriate biomarker for these patients. The current study included 96 antiviral-naïve patients with CHB who underwent liver biopsy. METAVIR scoring system was used to assess liver fibrosis and necroinflammation. The diagnostic performances were evaluated of the platelet (PLT) count; the levels of hyaluronan, serum 7S domain of type 4 collagen, procollagen type III N-terminal peptide, tissue inhibitor of metalloproteinases 1, Mac-2 binding protein glycosylation isomer (M2BPGi) and N-terminal type III collagen propeptide (Pro-C3); the fibrosis index based on four factors; the aspartate aminotransferase-to-platelet ratio index; and enhanced liver fibrosis score for identifying significant liver fibrosis [≥fibrosis stage 2 (F2)]. All fibrosis biomarkers, except the Pro-C3 level, correlated with the fibrosis stage. M2BPGi was better than other biomarkers for diagnosing ≥F2, with the highest area under the curve of 0.902. M2BPGi demonstrated a higher diagnostic accuracy for significant fibrosis than mild/severe fibrosis or cirrhosis. However, no significant correlation was observed between the M2BPGi level and fibrosis stage in patients with CHB having significant liver necroinflammation defined as ≥ necroinflammatory activity 2. The M2BPGi level and PLT count were exclusively correlated with the fibrosis stage in 73 patients without significant liver necroinflammation. M2BPGi demonstrated the highest diagnostic performance for significant fibrosis in patients having significant liver fibrosis with no significant liver necroinflammation. In conclusion, the M2BPGi level can accurately diagnose significant liver fibrosis that indicates the need for antiviral therapy in patients with CHB.

Indexed as

chronic hepatitis Bliver fibrosisliver necroinflammationMac-2 binding protein glycosylation isomerN-terminal type III collagen propeptide

Identifiers

PMID32765655
PMCPMC7388477
OpenAlexW3031195379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.