Evidence map›Paper›PMID 29255622›Full record

ReviewFuture science OA2018

Liver fibrosis: a compilation on the biomarkers status and their significance during disease progression.

Krishna Sumanth Nallagangula, Shashidhar Kurpad Nagaraj, Lakshmaiah Venkataswamy, Muninarayana Chandrappa

Open access · goldAbstract readReview
In one paragraph

Review in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 165 citations in OpenAlex.

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20 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Krishna Sumanth NallagangulaDepartment of Biochemistry, Sri Devaraj Urs Medical College, SDUAHER, Tamaka, Kolar, Karnataka, India.
Shashidhar Kurpad NagarajDepartment of Biochemistry, Sri Devaraj Urs Medical College, SDUAHER, Tamaka, Kolar, Karnataka, India.
Lakshmaiah VenkataswamyDepartment of Medicine, Sri Devaraj Urs MedicalCollege, SDUAHER, Tamaka, Kolar, Karnataka, India.
Muninarayana ChandrappaDepartment of Community Medicine, Sri DevarajUrs Medical College, SDUAHER, Tamaka, Kolar, Karnataka, India.
Sri Devaraj Urs Academy of Higher Education and Research · INSri Devaraj Urs Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis occurs in response to different etiologies of chronic liver injury. Diagnosing degree of liver fibrosis is a crucial step in evaluation of severity of the disease. An invasive liver biopsy is the gold standard method associated with pain and complications. Biomarkers to detect liver fibrosis include direct markers of extracellular matrix turnover and indirect markers as a reflection of liver dysfunction. Although a single marker may not be useful for successful management, a mathematical equation combining tests might be effective. The main purpose of this review is to understand the diagnostic accuracy of biomarkers and scoring systems for liver fibrosis. Advances in -omics approach have generated clinically significant biomarker candidates for liver fibrosis that need further evaluation.

Indexed as

biomarkerbiomarker discoverygenetic markershepatic regenerationliver fibrosis-omicssensitivity and specificityvalidation strategies

Identifiers

PMID29255622
PMCPMC5729599
OpenAlexW2761134105

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.