Evidence map›Paper›PMID 35341138›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Effects of Traditional Chinese Medicine Adjuvant Therapy on the Survival of Patients with Primary Liver Cancer.

Jie Hou, Ke Shi, Yao Liu, Jialiang Chen, Chongping Ran, Xianbo Wang

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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. Review
  3. Active Ingredients from Chinese Medicine for Combination Cancer Therapy.International journal of biological sciences · 2023
    Review
  4. 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

6 authors.

Jie HouDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ke ShiCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yao LiuCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Jialiang ChenCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Chongping RanCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xianbo WangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-3593-5741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aims to evaluate whether adjuvant traditional Chinese medicine (TCM) can improve the survival of patients with primary liver cancer (PLC). Methods: A total of 1,859 patients with PLC at Beijing Ditan Hospital between August 2008 and September 2017 were included. The patients were divided into TCM and control groups according to whether the patients took TCM for ≥3 months. There were 1,111 patients in the TCM group and 748 in the control group. Univariate and multivariate Cox regression analyses were used to analyze the factors affecting the 3-year survival of patients with PLC. To reduce selection bias, 1 : 1 propensity score matching (PSM) was performed between the two groups. The overall survival outcomes were evaluated using the Kaplan-Meier (K-M) survival curve, and the log-rank test was used to compare the differences in survival curves. Results: After multivariate Cox regression analysis, TCM was an independent favorable factor for the 3-year survival of patients with PLC (adjusted hazard ratio (aHR) 0.359, 95% confidence interval (CI) 0.292-0.441, Conclusions: TCM adjuvant therapy increased the 3-year overall survival rate of patients with PLC.

Identifiers

PMID35341138
PMCPMC8947932

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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.