Evidence map›Paper›PMID 30572504›Full record

ArticleMedicine2018

Investigation of the clinical significance and prognostic value of microRNA-145 in human hepatocellular carcinoma.

Ping Li, Hua Fan, Qiang He

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  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

3 authors at 1 institution in 1 country.

Ping LiDepartment of Hepatopancreatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Hua Fan
Qiang He
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the clinical significance and prognostic value of miR-145 in hepatocellular carcinoma (HCC).HCC tissue samples and adjacent normal liver tissues were obtained from 139 patients diagnosed with HCC. The relationships between the expression level of miR-145 and clinicopathologic factors were evaluated by Chi square test. Kaplan-Meier survival analysis with the log-rank test was used to evaluate the association between miR-145 expression and HCC prognosis.miR-145 was significantly down-regulated in HCC tissues compared with the adjacent noncancerous tissues (P < .001). Its expression level was significantly correlated with tumor size (P = .010), tumor number (P = .033), lymph node metastasis (P < .000), TNM stage (P < .001) and tumor differentiation (P < .001). Kaplan-Meier curves with log rank test showed that the overall survival of the patients with low miR-145 expression was significantly shorter in comparison with the high miR-145 expression patients (P = .043). Furthermore, multivariate analysis using the Cox proportional hazards model for all variables showed that miR-145 expression was an independent prognostic factor for overall survival (P = .033).Our results indicate that low expression of miR-145 is an independent poor prognostic factor for patients with HCC. Further investigations are needed to confirm our findings.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularDown-RegulationFemaleHumansLiverLiver NeoplasmsMaleMicroRNAsMiddle AgedPrognosisBiomarkers, TumorMicroRNAsMIRN145 microRNA, human

Identifiers

PMID30572504
PMCPMC6320207
OpenAlexW2906486158

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.