Evidence map›Paper›PMID 30805017›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2019

Hong Kong Chinese Medicine Clinical Practice Guideline for Cancer Palliative Care: Pain, Constipation, and Insomnia.

Wai Ching Lam, Linda Zhong, Yuqi Liu, Nannan Shi, Bacon Ng, Eric Ziea, Zhaoxiang Bian, Aiping Lu

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 5 pooled it
–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

10 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pooled it
  6. Article
  7. 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.

Wai Ching LamHong Kong Chinese Medicine Clinical Study Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon 999077, Hong Kong.ORCID 0000-0001-9137-1445
Linda ZhongHong Kong Chinese Medicine Clinical Study Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon 999077, Hong Kong.
Yuqi LiuChina Academy of Chinese Medical Science, Beijing 100700, China.
Nannan ShiChina Academy of Chinese Medical Science, Beijing 100700, China.ORCID 0000-0002-0720-4239
Bacon NgDepartment of Chinese Medicine, Hong Kong Hospital Authority, Kowloon 999077, Hong Kong.ORCID 0000-0003-1682-8382
Eric ZieaDepartment of Chinese Medicine, Hong Kong Hospital Authority, Kowloon 999077, Hong Kong.
Zhaoxiang BianHong Kong Chinese Medicine Clinical Study Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon 999077, Hong Kong.
Aiping LuHong Kong Chinese Medicine Clinical Study Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon 999077, Hong Kong.ORCID 0000-0002-2303-0494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is common for patients with cancers in Hong Kong seeking Chinese Medicine (CM) therapies as supportive care during cancer treatment and to manage treatment-related side effects. This article provides clinical practice guideline (CPG) on the use of CM for specific clinical indications caused by cancer and during cancer treatment, including pain, constipation, and insomnia, and aims to guide local licensed CM practitioners and provide beneficial reference for social medical decision makers and patients. In this manuscript, we summarize the clinical manifestation, CM pattern classification, and CM intervention including herbal treatment, acupuncture treatment, regulating, and nursing based on pattern differentiation.

Identifiers

PMID30805017
PMCPMC6362507

What OpenQuestion holds

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LicenceCC BY
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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.