Evidence map›Paper›PMID 28203279›Full record

ArticleTherapeutic advances in gastroenterology2017

A noninvasive diagnostic model to assess nonalcoholic hepatic steatosis in patients with chronic hepatitis B.

Hongjie Ou, Shaohang Cai, Ying Liu, Muye Xia, Jie Peng

Open access · hybridAbstract read
In one paragraph

Article in Therapeutic advances in gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 41 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

5 authors at 4 institutions in 1 country.

Hongjie OuDepartment of infectious diseases, First Affiliated Hospital of Xiamen University, Fujian Province, China.
Shaohang CaiDepartment of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Ying LiuThe First people's hospital of Shunde, Guangdong Province, China.
Muye XiaDepartment of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangdong Province, China.
Jie PengDepartment of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangdong Province, China.
Nanfang Hospital · CNFirst Affiliated Hospital of Xiamen University · CNState Key Laboratory of Oncology in South ChinaThe First People's Hospital of Shunde · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to develop a noninvasive diagnostic test for nonalcoholic hepatic steatosis in patients with chronic hepatitis B (CHB) by using routinely available clinical markers.

methodsA retrospective study of patients with CHB, with or without hepatic steatosis (fatty change) who were diagnosed with controlled attenuation parameter (CAP) measured by transient elastography were included. Patient information was analyzed on lifestyle; laboratory tests, including serum lipid levels; blood pressure; blood uric acid; and medical history of type 2 diabetes mellitus (T2DM).

resultsA total of 1312 patients were included in the study; 618 patients had confirmed hepatic steatosis. The CAP levels were significantly correlated with patient height (

conclusionThis study has demonstrated a noninvasive test for hepatic steatosis in patients with CHB.

Indexed as

blood pressurechronic hepatitis Bcontrolled attenuation parameterhepatic steatosishepatitis B virusnonalcoholic fatty liver disease

Identifiers

PMID28203279
PMCPMC5298479
OpenAlexW2574141365

What OpenQuestion holds

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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.