Evidence map›Paper›PMID 27148383›Full record

ArticleHepatitis monthly2016

Diagnostic Estimation of Noninvasive Tests for Hepatic Fibrosis in Chronic Hepatitis B Patients Without a Gold Standard.

Yi Xiang Zheng, Shu Juan Ma, Meng Hou Lu

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Yi Xiang ZhengViral Hepatitis Key Laboratory of Hunan Province, Department of Infectious Disease, Xiangya Hospital, Central South University, Changsha, China.
Shu Juan MaDepartment of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, China.
Meng Hou LuViral Hepatitis Key Laboratory of Hunan Province, Department of Infectious Disease, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of hepatic fibrosis stage in patients with chronic hepatitis B (CHB) is indispensable for prognosis evaluation and therapeutic regime. Noninvasive tests are fast, safe and cheap and need low technical requirements for diagnosing hepatic fibrosis in CHB patients.

objectivesUsing the latent class model with a random-factor to estimate relative accuracy of noninvasive tests for the diagnosis of hepatic fibrosis without a gold standard in a large population with CHB. PATIENTS AND

methodsA total of 544 patients with CHB were assessed for fibrosis stage by four noninvasive tests containing liver stiffness measurement (LSM), aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis index based on 4 factors (FIB-4) and globulin and platelet (GP). The diagnostic evaluation was made by the latent class method with random effect which analyzed the clinical data above to assess the accuracy of four ways of noninvasive diagnosis.

resultsThe latent class model with random effect permitted to conciliate the observed data and estimates of test performances. For significant fibrosis, the specificity/sensitivity were 83.24%/91.59% (APRI), 90.05%/95.57% (FIB-4), 75.11%/66.01% (LSM) and 71.13%/98.33% (GP), respectively. For cirrhosis, the specificity/sensitivity were 84.04%/17.91% (APRI), 89.86%/17.09 (FIB-4), 78.64%/37.07% (LSM) and 82.28%/37.07% (GP), respectively.

conclusionsFIB-4 confirmed the best value for diagnosis of significant fibrosis. APRI had a sub-optimal diagnosis accuracy for significant fibrosis. LSM showed the most balance diagnosis value for cirrhosis with the highest sensitivity and moderate specificity.

Indexed as

DiagnosisHepatitis BLatent Class ModelLiver Cirrhosis

Identifiers

PMID27148383
PMCPMC4851831
OpenAlexW2274380767

What OpenQuestion holds

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LicenceCC BY-NC
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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.