Evidence map›Paper›PMID 38464727›Full record

ArticleFrontiers in pharmacology2024

Effectiveness of adjuvant traditional Chinese medicine on macrovascular invasion in patients with hepatocellular carcinoma: a real-world propensity score-matched study.

Huiwen Yan, Xinhui Wang, Lihua Yu, Xiaoli Liu, Fengna Yan, Yuqing Xie, Qing Pu, Zhiyun Yang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

8 authors.

Huiwen Yan *Center of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Xinhui Wang *Center of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Lihua YuCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Xiaoli LiuCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Fengna YanCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Yuqing XieCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Qing PuCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.
Zhiyun YangCenter of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to investigate the potential of traditional Chinese medicine (TCM) in reducing the risk of macrovascular invasion (MVI) in Chinese patients with hepatocellular carcinoma (HCC). This retrospective analysis involved 2,267 HCC patients treated at our hospital. Propensity score (PS) matching was used to compare TCM users (n = 485) with non-users (n = 485) in terms of age, Barcelona Clinic Liver Cancer (BCLC) staging, type of treatment, and AFP. The impact of TCM on the hazard ratio (HR) of MVI was evaluated using a Cox multivariate regression model. The efficacy of TCM therapy on MVI was further examined using the log-rank test. The analysis revealed that TCM medication was a significant protective factor for MVI in HCC patients, as evidenced by the Cox analysis (adjusted HR = 0.496, 95% CI: 0.387-0.635,

Indexed as

anticancer Chinese pattern medicinecomplementary alternative medicinehepatocellular carcinomamacrovascular invasiontraditional Chinese medicine

Identifiers

PMID38464727
PMCPMC10923102

What OpenQuestion 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 OpenQuestion graph.