Evidence map›Paper›PMID 35224317›Full record

ArticleNon-coding RNA research2022

Potential relative quantities of miR-122 and miR-150 to differentiate hepatocellular carcinoma from liver cirrhosis.

Nur Signa Aini Gumilas, Irianiwati Widodo, Neneng Ratnasari, Didik Setyo Heriyanto

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Non-coding RNA research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06561477 (Study of the Validity of Intensive Care Cirrhosis Outcome Score), which is not on this map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 38% 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.

NCT06561477 completednot on this mapstarted 2025, after this paper: background citation

Study of the Validity of Intensive Care Cirrhosis Outcome Score (ICCO) in Predicting Outcome in Cirrhotic Patients Admitted to Intensive Care Unit.

TypeobservationalSponsorAssiut UniversityRan2025 to 2026Enrolled150ConditionsLiver CirrhosisArmsIntensive care cirrhosis outcome (ICCO) score
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

4 authors at 1 institution in 1 country.

Nur Signa Aini GumilasDoctoral Program of Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Irianiwati WidodoAnatomic Pathology Department, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Dr. Sardjito General Hospital, Indonesia.
Neneng RatnasariGastroenterology-Hepatology Division of Internal Medicine Department, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Dr. Sardjito General Hospital, Indonesia.
Didik Setyo HeriyantoAnatomic Pathology Department, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Dr. Sardjito General Hospital, Indonesia.
Universitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cirrhosis and hepatocellular carcinoma (HCC) are related to chronic liver diseases. Diagnostic algorithms are needed to discriminate HCC from cirrhosis for better patient management. This study aimed to determine the potential of miR-122 and miR-150 to differentiate HCC from liver cirrhosis. This study used a cross-sectional method involving 66 patients with liver cirrhosis, 27 subjects with HCC, and 29 healthy controls. Examination of miR-122 and miR-150 levels from blood plasma used real-time quantitative polymerase chain reaction and their relative expressions were calculated. Clinical and laboratory data were collected and graphed for the Area Under the Curve (AUC) and also for comparison using unpaired T-tests, Kruskal-Wallis, Mann-Whitney, and Chi-square tests with significance set as

Indexed as

Cancer biomarkerCirrhosisHepatocellular carcinomamiR-122miR-150

Identifiers

PMID35224317
PMCPMC8844599
OpenAlexW4210593967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.