Evidence map›Paper›PMID 38037365›Full record

SynthesisJournal of musculoskeletal & neuronal interactions2023

Effect of Bushen Tiansui Decoction on Delayed Fracture Healing: A Systematic Review and Meta-analysis.

Ling Cheng, Gao Wang, Hualong Lu, Song Li, Wei Xiong, Jun Wang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of musculoskeletal & neuronal interactions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ling Cheng *Rehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, China.
Gao Wang *Orthopedics, Nanchang Hongdu Hospital of Traditional Chinese Medicine, China.
Hualong LuRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, China.
Song LiRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, China.
Wei XiongRehabilitation Medicine Department, Nanchang Hongdu Hospital of Traditional Chinese Medicine, China.
Jun WangGeneral Surgery Department of Trauma Center, The First Hospital of Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aimed to validate the therapeutic potential of Bushen Tiansui decoction (BSTSD), a traditional Chinese formulation, in treating delayed union of fractures. Comprehensive database searches identified randomized controlled trials up to September 13, 2022, assessing BSTSD's efficacy in delayed fracture healing. Outcomes were bone metabolism indexes and Harris hip scores. Quality and risk assessments were conducted using the Cochrane Collaboration's tools. Data were analyzed using RevMan software, with sensitivity analysis through Stata. BSTSD significantly improved bone GLA protein (SMD=1.76, P<0.00001) and alkaline phosphatase (SMD=1.31, P<0.00001). Additionally, Harris hip scores for pain, function, deformity, and motion showed marked improvement. BSTSD treatment also demonstrated enhanced clinical efficiency (RR=1.27, P<0.00001) with fewer complications. Sensitivity analyses indicated consistent results. BSTSD shows promise in treating delayed fracture unions, yet conclusions necessitate further high-quality research for validation.

Indexed as

Fracture HealingFractures, BoneHumansBushen Tiansui DecoctionChinese Medicine CompoundDelayed Fracture HealingMeta-AnalysisTraditional Chinese Medicine Decoction

Identifiers

PMID38037365
PMCPMC10696372

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.