Evidence map›Paper›PMID 32205997›Full record

ArticleWorld journal of gastroenterology2020

Serum N-glycan markers for diagnosing liver fibrosis induced by hepatitis B virus.

Xi Cao, Qing-Hua Shang, Xiao-Ling Chi, Wei Zhang, Huan-Ming Xiao, Mi-Mi Sun, Gang Chen, Yong An, Chun-Lei Lv, Lin Wang and 5 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in World journal of gastroenterology, 2020. 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
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
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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

15 authors at 3 institutions in 1 country.

Xi CaoDepartment of Microbiology and Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Qing-Hua ShangDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Xiao-Ling ChiDepartment of Hepatology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, Guangdong Province, China.
Wei ZhangDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Huan-Ming XiaoDepartment of Hepatology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, Guangdong Province, China.
Mi-Mi SunDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Gang ChenDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Yong AnDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Chun-Lei LvDepartment of Liver Disease, No. 88 Hospital of Chinese People's Liberation Army, Tai'an 271000, Shandong Province, China.
Lin WangDepartment of Microbiology and Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Yue-Min NanDepartment of Traditional and Western Medical Hepatology, Third Hospital of Hebei Medical University, Shijiazhuang 050051, Hebei Province, China.
Cui-Ying ChenDepartment of Molecular Biomedical Research, Xian si-da Biotechnology Company Limited, Nanjing 210000, Jiangsu Province, China.
Zong-Nan TanDepartment of Molecular Biomedical Research, Xian si-da Biotechnology Company Limited, Nanjing 210000, Jiangsu Province, China.
Xue-En LiuDepartment of Microbiology and Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China. xueenliu@bjmu.edu.cn.
Hui ZhuangDepartment of Microbiology and Center of Infectious Diseases, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Chinese People 's Liberation Army No. 85 Hospital · CNPeking University · CNThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV) infection is the primary cause of hepatitis with chronic HBV infection, which may develop into liver fibrosis, cirrhosis and hepatocellular carcinoma. Detection of early-stage fibrosis related to HBV infection is of great clinical significance to block the progression of liver lesion. Direct liver biopsy is regarded as the gold standard to detect and assess fibrosis; however, this method is invasive and prone to clinical sampling error. In order to address these issues, we attempted to find more convenient and effective serum markers for detecting HBV-induced early-stage liver fibrosis.

aimTo investigate serum N-glycan profiling related to HBV-induced liver fibrosis and verify multiparameter diagnostic models related to serum N-glycan changes.

methodsN-glycan profiles from the sera of 432 HBV-infected patients with liver fibrosis were analyzed. Significant changed N-glycan levels (peaks) (

resultsMultiparameter diagnostic models constructed based on N-glycan peak 1, 3, 4 and 8 could distinguish between different stages of liver fibrosis. The area under ROC curves (AUROCs) of Model A and Model B were 0.890 and 0.752, respectively differentiating fibrosis F0-F1 from F2-F4, and F0-F2 from F3-F4, and surpassing other serum panels. However, AUROC (0.747) in Model C used for the diagnosis of F4 from F0-F3 was lower than AUROC (0.795) in FIB-4. In combination with ALT and PLT, the multiparameter models showed better diagnostic power (AUROC = 0.912, 0.829, 0.885, respectively) when compared with other models. In the validation group, the AUROCs of the three combined models (0.929, 0.858, and 0.867, respectively) were still satisfactory. We also applied the combined models to distinguish adjacent fibrosis stages of 432 patients (F0-F1/F2/F3/F4), and the AUROCs were 0.917, 0.720 and 0.785.

conclusionMultiparameter models based on serum N-glycans are effective supplementary markers to distinguish between adjacent fibrosis stages of patients caused by HBV, especially in combination with ALT and PLT.

Indexed as

Hepatitis B virusAdultAlanine TransaminaseArea Under CurveAspartate AminotransferasesBiomarkersFemaleGlycosylationHepatitis B, ChronicHumansLiver CirrhosisLiver Function TestsMaleMiddle AgedPlatelet CountPolysaccharidesAlanine TransaminaseAspartate AminotransferasesBiomarkersPolysaccharidesChronic hepatitis BDiagnostic powerLiver fibrosisMultiparameter diagnostic modelsN-glycanReceiver operating characteristic curve analysis

Identifiers

PMID32205997
PMCPMC7080998
OpenAlexW3012537271

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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.