ArticleMedicine2019
Efficacy of Xianling Gubao capsule in treating sarco-osteopenia: Protocol for a systematic review and meta-analysis.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Plants and Plant-Derived Compounds Mediate Protection Across Diverse Pathological Conditions by Targeting the PANoptosis Pathways.Phytotherapy research : PTR · 2026Review
- Review
- Targeting the PANoptosis signaling pathway for myocardial protection: therapeutic potential of Xian Ling Gu Bao capsule.Frontiers in pharmacology · 2024Article
- Identification of naturally occurring inhibitors in Xian-Ling-Gu-Bao capsule against the glucuronidation of estrogens.Frontiers in pharmacology · 2022Article
- Osteogenic Differentiation of Human Umbilical Cord Blood Mesenchymal Stem Cells Induced by Liu's Zhenggudan No. 2 Formula.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Xianling Gubao attenuates high glucose-induced bone metabolism disorder in MG63 osteoblast-like cells.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSarco-osteopenia (SOP) is a new type of geriatric syndrome, resulting from the combination of sarcopenia (SP) and osteoporosis (OP). Xianling Gubao capsule (XLGBC), made from several traditional Chinese medicine, is reported to have a therapeutic effect on diseases of bones and joints. This protocol will be designed to assess the efficacy of XLGBC in the treatment of SOP.
methodsRelevant randomized controlled trial literatures evaluating the effect of XLGBC on patients with SOP will be obtained by searching the following 7 electronic databases: Cochrane Library, PubMed, Embase, Chinese National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP), Chinese Biomedical and Medical Database (CBM), and Wanfang Database, from inception to March 2019. The primary outcomes will be bone mineral density, skeletal muscle mass index, handgrip strength, and gait speed. Stata V.13.0 software will be used for data synthesis and analysis, sensitivity analysis, subgroup analysis, and risk of bias assessment. Reporting bias will be evaluated utilizing a funnel, with Egger tests assessing funnel plot symmetries. Quality of evidence will be evaluated according to guidance of the Recommendations Assessment, Development, and Evaluation guideline.
resultThis study will provide a rational synthesis of current evidences for XLGBC on SOP.
conclusionThe conclusion of this study will provide evidence to judge the effectiveness and safety of XLGBC on SOP. ETHICS AND DISSEMINATION: This systematic review will be contributed to peer-reviewed publications, aiming to provide evidence about efficacy of XLGBC on SOP. TRIAL REGISTRATION NUMBER: CRD42019128223.
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Registered trials
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.