Evidence map›Paper›PMID 35183058›Full record

SynthesisAging2022

LncRNA HULC as a potential predictor of prognosis and clinicopathological features in patients with digestive system tumors: a meta-analysis.

Duo Li, Rui Wang, Na Wu, Yongqiang Yu

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Roles of long non-coding RNAFrontiers in oncology · 2025
    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

4 authors at 1 institution in 1 country.

Duo LiDepartment of Gastroenterology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China.
Rui WangDepartment of Gastroenterology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China.
Na WuDepartment of Gastroenterology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China.
Yongqiang YuDepartment of Gastroenterology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China.
Hebei North University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis meta-analysis aimed to evaluate the correlation between lncRNA HULC, prognosis and clinicopathological characteristics in patients with digestive system tumors.

methodsThe relevant literatures were collected through PubMed, Web of Science and Embase up to February 2021. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the prognostic value of HULC in patients with digestive system tumors. The clinicopathological characteristics of HULC in patients were estimated by odds ratios (ORs).

resultsA total of 14 studies involving 1312 patients were included. The up-regulated expression level of HULC was associated with poorer overall survival (OS) in patients with digestive system tumors (HR = 1.83, 95% CI: 1.05-3.19,

conclusionsHigh expression level of HULC is related to OS, TNM stage, differentiation and LNM. Therefore, HULC can be used as a new potential predictor for prognosis and clinicopathological features of patients with digestive system tumors.

Indexed as

Digestive System NeoplasmsNeoplasmsBiomarkers, TumorHumansLymphatic MetastasisPrognosisRNA, Long NoncodingBiomarkers, TumorHULC long non-coding RNA, humanRNA, Long Noncodingdigestive system cancerHULClncRNAprognosis

Identifiers

PMID35183058
PMCPMC8908940
OpenAlexW4212980381

What OpenQuestion holds

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LicenceCC BY
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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.