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Cumulative network-meta-analyses, practice guidelines and actual prescriptions of drug treatments for postmenopausal osteoporosis: a study protocol for cumulative network meta-analyses and meta-epidemiological study

Abstract:

Introduction Cumulative network meta-analysis (NMA) is a method to provide a global comparison of multiple treatments with real-time update to evidence users. Several studies investigated the ranking of cumulative NMA and the recommendations of practice guidelines. However, to the best of our knowledge, no study has evaluated the cumulative NMA ranking and prescription patterns. Here, we present a protocol for a meta-epidemiological investigation to compare the results of cumulative NMA with the recommendations in postmenopausal osteoporosis practice guidelines and with the actual prescriptions.

Method and analysis We will use the data of primary trials from the upcoming postmenopausal osteoporosis clinical practice guideline of the Endocrine Society. We will conduct cumulative NMA using all eligible trials and generate hierarchy of treatment rankings by using the surface under the cumulative ranking curve. We will search practice guidelines in relevant society websites. Two review authors will extract the practice recommendations. We will use data from the Medical Expenditures Panel Survey, a US representative sample of the non-institutionalised population, to determine the prescription patterns.

Ethics and dissemination Because all data will be retrieved from public databases, institutional review board approval is not required. We will publish our findings in a peer-reviewed journal and present key findings at conferences.

Trial registration number UMIN000031894: Pre-results.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/bmjopen-2018-023218

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Role:
Author
ORCID:
0000-0001-7982-5213


Publisher:
BMJ Publishing Group
Journal:
BMJ open More from this journal
Volume:
8
Issue:
12
Article number:
e023218
Publication date:
2018-12-04
Acceptance date:
2018-11-07
DOI:
EISSN:
2044-6055
Pmid:
30518583


Language:
English
Keywords:
Pubs id:
pubs:951519
UUID:
uuid:d08fb4a7-41a8-4875-8808-f172a779089e
Local pid:
pubs:951519
Source identifiers:
951519
Deposit date:
2019-03-15

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