Evidence map›Paper›PMID 36314104›Full record

ArticleAmerican journal of men's health

Significant Tumor Reduction With Traditional Chinese Medicine in a Patient With Advanced Prostate Cancer: A Case Report.

Xiaojun Zhang

Open access · goldAbstract readCase Reports
In one paragraph

Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Xiaojun ZhangMaster of Medicine, Oncology Department, Xiamen Hospital of Traditional Chinese Medicine (Xiamen Hospital of Dongzhimen Hospital, Beijing University of Chinese Medicine), Xiamen, China.ORCID 0000-0001-7768-6678
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PC) is the most common malignancy of the male genitourinary system. For patients with advanced progressive PC, the treatment strategies include second-line endocrine therapy, chemotherapy, and immunotherapy. Such therapeutic techniques are either too expensive or too toxic for some patients, and traditional Chinese medicine (TCM) has become an alternative for its low cost and low toxicity. The application of Shi-pi-san and Gui-zhi-Fu-ling-wan in PC has never been reported. We report their application on a 71-year-old male patient, who was diagnosed with PC and was undergoing endocrine therapy. He originally chose chemotherapy, and experienced acute renal failure, which required hemodialysis during hospitalization. He felt weak and opted for Chinese herbal medicine treatment. After treatment with Shi-pi-san and Gui-zhi-Fu-ling-wan, the patient's tumor and other symptoms were significantly reduced, and he reported feeling "refreshed." This case indicates that TCM treatment has unique advantages and is more tolerable than endocrine therapy and chemotherapy. Considering that the patient was undergoing hemodialysis treatment and using low-molecular-weight heparin (LMWH) to prevent blood coagulation while taking TCM, whether LMWH has a synergistic anticancer effect remains to be explored.

Indexed as

Medicine, Chinese TraditionalProstatic NeoplasmsAgedHeparin, Low-Molecular-WeightHumansMaleHeparin, Low-Molecular-Weightcase reportGui-zhi-Fu-ling-wanprostate cancerShi-pi-santraditional Chinese medicine

Identifiers

PMID36314104
PMCPMC9623378
OpenAlexW4308184527

What OpenQuestion holds

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LicenceCC BY-NC
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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.