Evidence mapPaperPMID 36910647Full record

SynthesisFrontiers in oncology2023

Metabolic syndrome and survival of patients with hepatocellular carcinoma: A meta-analysis.

Jia Fu, Jinqiong Jiang, Kanghan Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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.

Jia FuDepartment of Oncology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Hunan Normal University, Changsha, China.
Jinqiong JiangDepartment of Oncology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Hunan Normal University, Changsha, China.
Kanghan LiuDepartment of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Hunan Normal University, Hunan Clinical Research Center for Chronic Kidney Disease, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) has been related to a high incidence of hepatocellular carcinoma (HCC). However, the influence of MetS on survival of patients with HCC is still unclear. We performed a systematic review and meta-analysis to evaluate the association between MetS and survival of HCC patients. Methods: A search of PubMed, Embase, and Web of Science retrieved relevant cohort studies from the inception of the databases to October 16, 2022. Data collection, literature search, and statistical analysis were carried out independently by two authors. We pooled the results using a random-effects model that incorporates heterogeneity. Results: In the meta-analysis, 8080 patients with HCC were included from ten cohort studies, and 1166 patients (14.4%) had MetS. Eight studies included patients treated primarily with radical hepatectomy, one study with patients receiving sorafenib, and another study included patients who were treated with radical hepatectomy or non-surgical treatments. Pooled results showed that MetS was associated with poor overall survival (OS, risk ratio [RR]: 1.21, 95% confidence interval [CI]:1.08 to 1.37, p = 0.001; I Conclusion: In patients with HCC, MetS may be a risk factor of poor OS and PFS, particularly for those after radical hepatectomy.

Indexed as

hepatocellular carcinomameta-analysismetabolic syndromepredictorsurvival

Identifiers

PMID36910647
PMCPMC9995822

What Socratic holds

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Registered trials

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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 Socratic graph.