Evidence map›Paper›PMID 26670429›Full record

ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2015

Use of Chinese herbal medicine therapies in comprehensive hospitals in central China: A parallel survey in cancer patients and clinicians.

Gang Chen, Ting-Ting Qiao, Hao Ding, Chen-Xi Li, Hui-Ling Zheng, Xiao-Ling Chen, Shao-Ming Hu, Shi-Ying Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Cancer and Traditional Medicine: An Integrative Approach.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
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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 at 1 institution in 1 country.

Gang ChenDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Ting-Ting QiaoDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Hao DingDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Chen-Xi LiDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Hui-Ling ZhengDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiao-Ling ChenDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Shao-Ming HuDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
Shi-Ying YuDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. syyu@tjh.tjmu.edu.cn.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese herbal medicine (CHM), as the largest application category of traditional Chinese medicine (TCM), is widely accepted among cancer patients in China. Herbal slice (HS) and Chinese patent drug (CPD) are commonly used CHM in China. This study aimed to investigate the utilization of CHM among clinicians and cancer patients in central China. Five hundred and twenty-five patients and 165 clinicians in 35 comprehensive hospitals in central China were asked to complete an anonymous questionnaire that was designed to evaluate the use of CHM. The results showed that 90.74% clinicians and 72.24% cancer patients used CHM during cancer treatment. The educational backgrounds of the clinicians and the age, education level, annual income, and cancer stage of the cancer patients were related to use of CHM. More than 90% clinicians and cancer patients had used CPD. Comparatively, the percentage of HS use was 10% lower than that of CPD use among clinicians and cancer patients. More clinicians preferred to use CHM after surgery than cancer patients did (20.41% vs. 5.37%). Enhancing physical fitness and improving performance status were regarded as the most potential effect of CHM on cancer treatment (85.71% among clinicians and 94.07% among cancer patients), in comparison with directly killing tumor cells (24.49% among clinicians and 31.36% among patients). As for refusal reasons, imprecise efficacy was the unanimous (100%) reason for clinicians' rejection of CHM, and 95.58% patients objected to using CHM also for this reason. Furthermore, the side effects of CHM were more concerned by clinicians than by patients (33.33% vs. 15.81%). In conclusion, our survey revealed that CHM was popularly accepted by clinicians and cancer patients in central China. The reasons of use and rejection of CHM were different between clinicians and cancer patients.

Indexed as

Herbal MedicineHospitalsMedical Staff, HospitalMedicine, Chinese TraditionalAdultChinaFemaleHumansMaleMedical OncologyMiddle AgedNeoplasmsSurveys and QuestionnairesWorkforce

Identifiers

PMID26670429
OpenAlexW2251369588

What OpenQuestion holds

Textmetadata
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.