Evidence map›Paper›PMID 31046489›Full record

ArticleIntegrative cancer therapies

Acupuncture for Hot Flashes in Cancer Patients: Clinical Characteristics and Traditional Chinese Medicine Diagnosis as Predictors of Treatment Response.

Wenli Liu, Aiham Qdaisat, Gabriel Lopez, Santhosshi Narayanan, Susan Underwood, Michael Spano, Akhila Reddy, Ying Guo, Shouhao Zhou, Sai-Ching Yeung and 3 more

Open access · goldAbstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

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

  1. Pooled it
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  6. 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

13 authors at 2 institutions in 1 country.

Wenli Liu1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-1036-4564
Aiham Qdaisat1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gabriel Lopez1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Santhosshi Narayanan1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Susan Underwood1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Michael Spano1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Akhila Reddy1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ying Guo1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shouhao Zhou2 Pennsylvania State University, Hershey, PA, USA.
Sai-Ching Yeung1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Eduardo Bruera1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
M Kay Garcia1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lorenzo Cohen1 University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USPennsylvania State University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundAcupuncture is a recognized integrative modality for managing hot flashes. However, data regarding predictors for response to acupuncture in cancer patients experiencing hot flashes are limited. We explored associations between patient characteristics, including traditional Chinese medicine (TCM) diagnosis, and treatment response among cancer patients who received acupuncture for management of hot flashes.

methodsWe reviewed acupuncture records of cancer outpatients with the primary reason for referral listed as hot flashes who were treated from March 2016 to April 2018. Treatment response was assessed using the hot flashes score within a modified Edmonton Symptom Assessment Scale (0-10 scale) administered immediately before and after each acupuncture treatment. Correlations between TCM diagnosis, individual patient characteristics, and treatment response were analyzed.

resultsThe final analysis included 558 acupuncture records (151 patients). The majority of patients were female (90%), and 66% had breast cancer. The median treatment response was a 25% reduction in the hot flashes score. The most frequent TCM diagnosis was qi stagnation (80%) followed by blood stagnation (57%). Older age ( P = .018), patient self-reported anxiety level ( P = .056), and presence of damp accumulation in TCM diagnosis ( P = .047) were correlated with greater hot flashes score reduction.

conclusionsTCM diagnosis and other patient characteristics were predictors of treatment response to acupuncture for hot flashes in cancer patients. Future research is needed to further explore predictors that could help tailor acupuncture treatments for these patients.

Indexed as

AcupunctureAcupuncture TherapyFemaleHot FlashesHumansMaleMedicine, Chinese TraditionalMiddle AgedNeoplasmsRetrospective Studiesacupuncturecancercomplementary health approacheshot flashesintegrative medicinetraditional Chinese medicine

Identifiers

PMID31046489
PMCPMC6501481
OpenAlexW2943710535

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.