Evidence map›Paper›PMID 30813123›Full record

ArticleMedicine2019

Efficacy and safety of Zuogui Pill in treating osteoporosis: Study protocol of a systematic review.

Guoming Chen, Zhaoping Zhang, Yunyun Liu, Jiaxin Lu, Xiangjun Qi, Caishan Fang, Chi Zhou

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Guoming ChenGuangzhou University of Chinese Medicine.
Zhaoping ZhangGuangzhou University of Chinese Medicine.
Yunyun LiuGuangzhou University of Chinese Medicine.
Jiaxin LuGuangzhou University of Chinese Medicine.
Xiangjun QiGuangzhou University of Chinese Medicine.
Caishan FangGuangzhou University of Chinese Medicine.
Chi ZhouDepartment of Orthopedics, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis (OP) is a common skeletal disorder worldwide, resulting in increased bone fragility and high risk of fractures. The Zuogui Pill (ZGP), a classic Chinese herbal formulation, has played a vital role in the clinical practice of OP in China for centuries. Increasing studies have been performed for clarifying its anti-osteoporotic mechanisms. However, this treatment still lacks a systematic review for its efficacy and safety in the treatment of OP.

methodsEight electronic databases will be searched from inception to November 2018 by 2 independent researchers, in order to collect qualified randomized controlled trials (RCTs) on the ZGP treatment for OP. The therapeutic effects according to bone mineral density (BMD) will be adopted as the primary outcomes. RevMan V.5.3 software will be used for the data synthesis and the Cochrane's risk of bias assessment tool will be used to assess the risk of bias.

resultsThis review will conduct a high-quality synthesis on present evidence of ZGP for OP.

conclusionThe conclusion of the study will indicate whether ZGP is an effective treatment for OP by providing updated evidence.PROSPERO registration number: PROSPERO CRD 42018114366.

Indexed as

Bone DensityDrugs, Chinese HerbalHumansOsteoporosisResearch DesignSystematic Reviews as TopicDrugs, Chinese Herbalzuogui

Identifiers

PMID30813123
PMCPMC6407973
OpenAlexW2920538988

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.