Evidence map›Paper›PMID 36523246›Full record

ArticleBMJ open2022

Moxibustion as adjuvant therapy for preventing bone loss in postmenopausal women: protocol for a randomised controlled trial.

Lingyun Lu, Qian Wen, Xin Zhang, Jianqin Lv, Leixiao Zhang, Lu Liu, Xijie Yu, Ning Li

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  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

8 authors at 1 institution in 1 country.

Lingyun LuDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.ORCID 0000-0003-3629-1420
Qian WenDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.ORCID 0000-0002-4035-2903
Xin ZhangDepartment of Integrated Traditional Chinese and Western Medicine, Clinical Research Center for Respiratory Disease, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Jianqin LvDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Leixiao ZhangDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China.ORCID 0000-0002-8117-6213
Lu LiuDepartment of Endocrinology and Metabolism, Laboratory of Endocrinology and Metabolism, Sichuan University West China Hospital, Chengdu, Sichuan, China.
Xijie YuDepartment of Endocrinology and Metabolism, Laboratory of Endocrinology and Metabolism, Sichuan University West China Hospital, Chengdu, Sichuan, China zhenjiuhuaxi@163.com xijieyu@hotmail.com.
Ning LiDepartment of Integrated Traditional Chinese and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China zhenjiuhuaxi@163.com xijieyu@hotmail.com.ORCID 0000-0001-9632-3944
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPostmenopausal osteoporosis, caused by ageing and oestrogen deficiency, seriously threatens women's physical and mental health. Postmenopausal osteopenia is the transition from healthy bone to osteoporosis, and it may be the key period for preventing bone loss. Moxibustion, a physical therapy of Traditional Chinese Medicine, has potential benefits for osteoporosis treatment and prevention, but it has not been adequately studied. This study aims to explore the clinical effects and safety of moxibustion in delaying bone loss in postmenopausal women. METHODS AND ANALYSIS: In this parallel-design, randomised, patient-blind and assessor-blind, controlled clinical study, 150 women with osteopenia at low fracture risk will be randomly assigned to a moxibustion treatment (MT) group or a placebo-moxibustion control (PMC) group in a 1:1 ratio. In addition to the fundamental measures (vitamin D3 and calcium) as recommended by the guidelines, participants of the two groups will receive MT or PMC treatment for 42 sessions over 12 months. The primary outcome will be the bone mineral density (BMD) of the lumbar spine at the end of the 12-month treatment, and secondary outcomes will be the BMD of the femoral neck and total hip, T-scores, bone turnover markers, serum calcium levels, serum magnesium levels, serum phosphorus levels, serum parathyroid hormone levels and 25-hydroxyvitamin D levels, intensity of bone pain, quality of life, incidence of osteoporosis and fractures, usage of emergency drugs or surgery, participant self-evaluation of therapeutic effects and the rate of adverse events. All statistical analyses will be performed based on the intention-to-treat and per-protocol principle. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the Ethics Committee on Biomedical Research, West China Hospital of Sichuan University (permission number: 2021-1243). The results are expected to be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ChiCTR2100053953.

Indexed as

Bone Diseases, MetabolicFractures, BoneMoxibustionOsteoporosisOsteoporosis, PostmenopausalBone DensityCalciumDouble-Blind MethodFemaleHumansPostmenopauseQuality of LifeRandomized Controlled Trials as TopicCalciumBone diseasesCOMPLEMENTARY MEDICINEProtocols & guidelines

Identifiers

PMID36523246
PMCPMC9748964
OpenAlexW4311223595

What OpenQuestion 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 OpenQuestion graph.