Evidence map›Paper›PMID 21505910›Full record

Trial reportOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2012

The first multicenter and randomized clinical trial of herbal Fufang for treatment of postmenopausal osteoporosis.

H M Zhu, L Qin, P Garnero, H K Genant, G Zhang, K Dai, X Yao, G Gu, Y Hao, Z Li and 13 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 8 pooled it
2.5field-weighted citation impact, top 13% 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

53 citing papers in PubMed, 8 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Determination of the Combined Effects of Asian Herbal Medicine with Calcium and/or Vitamin D Supplements on Bone Mineral Density in Primary Osteoporosis: A Systematic Review and Meta-Analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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  8. Chinese herbal medicines for treating osteoporosis.The Cochrane database of systematic reviews · 2014
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  14. A comprehensive narrative review ofJournal of pharmaceutical analysis · 2026
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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

23 authors at 8 institutions in 4 countries.

H M ZhuCentre of Osteoporosis, Shanghai Hua Dong Hospital, Fu Dan University, Shanghai, China. zhuhanmin@yeah.net
L Qin
P Garnero
H K Genant
G Zhang
K Dai
X Yao
G Gu
Y Hao
Z Li
Y Zhao
W Li
J Yang
X Zhao
D Shi
T Fuerst
Y Lu
H Li
X Zhang
C Li
J Zhao
Q Wu
S J Zhao
Shanghai Ninth People's Hospital · CNHuadong Hospital · CNJilin University · CNCapital University · USAcademia Sinica · TWCapital Medical University · CNChinese University of Hong Kong · CNInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThis multicenter and randomized clinical trial showed that daily oral herbal formula Xian Ling Gu Bao (XLGB) was safe in postmenopausal women over a 1-year treatment. Those patients (n ∼ 50) treated with XLGB at the conventional dose demonstrated a statistically significant increase in dual-energy X-ray absorptiometry (DXA) bone mineral density (BMD) at lumbar spine at 6 months and a numerically increased BMD at 12 months.

introductionThe aim of this study was to examine the safety and efficacy of a herbal formula XLGB in postmenopausal women (ChiCTR-TRC-00000347).

methodsOne hundred eighty healthy postmenopausal women (≥60 years old) with BMD T-score ≤ -2.0 (lumbar spine or femoral neck) were recruited from four clinical centers to receive low-dose (conventional dose) XLGB (L-XLGB group, 3 g/day, n = 61) or high-dose XLGB (H-XLGB group, 6 g/day, n = 58) or placebo (CON group, n = 61). Women received daily calcium (500 mg) and vitamin D (200 IU) supplementation. Primary endpoints were lumbar spine BMD and safety; secondary endpoints were femoral neck BMD and bone turnover markers measured at baseline and at 6 and 12 months.

resultsOf 180 women recruited, 148 completed the study. The compliance in each group was comparable. Prominent adverse events were not observed in either group. In the L-XLGB group at 6 months, lumbar spine BMD by DXA increased significantly from baseline (+2.11% versus CON +0.58%, p < 0.05), but femoral neck BMD did not; at 12 months, BMD in the L-XLGB group decreased from 6-month levels yet remained higher than baseline, but without difference from the CON group. There was no dose-dependent response. Bone turnover marker levels declined during the first 6 months after XLGB treatment. There was no significant difference in the overall incidence of side effects among treatment and control groups.

conclusionXLGB over 1-year treatment at the conventional dose demonstrated safe and only a statistically significant increase in BMD at lumbar spine at 6 months in postmenopausal women.

Indexed as

Absorptiometry, PhotonAgedBiomarkersBone DensityBone Density Conservation AgentsBone RemodelingDouble-Blind MethodDrug MonitoringDrugs, Chinese HerbalFemaleFemur NeckHumansLumbar VertebraeMiddle AgedOsteocalcinOsteoporosis, PostmenopausalBiomarkersBone Density Conservation AgentsDrugs, Chinese HerbalOsteocalcinxian ling gu bao

Identifiers

PMID21505910
OpenAlexW1974086503

What OpenQuestion holds

Textmetadata
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.