Evidence map›Paper›PMID 36847867›Full record

SynthesisJournal of bone and mineral metabolism2023

Efficacy of anti-osteoporosis treatment for men with osteoporosis: a meta-analysis.

Aimei Dong, Xiuwen Fei, Yucheng Huang, Youyuan Huang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of bone and mineral metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Osteoporosis treatment prevents hip fracture similarly in both sexes: the FOCUS observational study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Observational
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

4 authors at 1 institution in 1 country.

Aimei DongDepartment of Endocrinology, Peking University First Hospital, Beijing, 100034, China. dongaimei1975@sina.com.ORCID http://orcid.org/0000-0003-3743-7479
Xiuwen FeiDepartment of Emergency Department, Peking University First Hospital, Beijing, 100034, China.
Yucheng HuangDepartment of General Practice, Peking University First Hospital, Beijing, 100034, China.
Youyuan HuangDepartment of Endocrinology, Peking University First Hospital, Beijing, 100034, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOsteoporosis and fracture are important healthcare problems for men worldwide, which are relevant to severe disability and mortality. This meta-analysis aimed to assess the effectiveness of pharmacological therapy in men with osteoporosis, and to provide evidence-based hints for clinical practice. MATERIALS AND

methodsPubMed, Embase, Web of Science were searched from inception to July 31, 2022. Pooled standardized mean difference (SMD) and relative risk (RR) were calculated. Heterogeneity between included studies and publication bias were detected.

resultsTwenty clinical studies were enrolled in this meta-analysis. The pooled SMD for mean percentage differences of change from baseline in lumbar spine BMD between the treatment group and the control group was 4.95 (95% CI 2.48, 7.42, I

conclusionFindings in this meta-analysis indicate that pharmacological treatment increases lumbar spine, femoral neck, total hip BMD, and decreases incident vertebral fractures in men with osteoporosis.

Indexed as

Fractures, BoneOsteoporosisSpinal FracturesBone DensityFemur NeckHumansLumbar VertebraeMaleClinical trialsMenMeta-analysisOsteoporosisTreatment

Identifiers

PMID36847867
OpenAlexW4322493115

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.