Evidence map›Paper›PMID 30518583›Full record

ArticleBMJ open2018

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.

Yuki Kataoka, Yan Luo, Anna Chaimani, Akira Onishi, Miho Kimachi, Yasushi Tsujimoto, Mohammad Hassan Murad, Tianjing Li, Andrea Cipriani, Toshi A Furukawa

Abstract read
In one paragraph

Article in BMJ open, 2018. 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
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Yuki KataokaHospital Care Research Unit, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.ORCID 0000-0001-7982-5213
Yan LuoDepartment of Health Promotion and Human Behavior, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Anna ChaimaniEpidemiology and Statistics, Sorbonne Paris Cité Research Center (CRESS), Paris Descartes University, Paris, France.
Akira OnishiDepartment of Rheumatology and Clinical Immunology, Kobe University Graduate School of Medicine, Kobe, Japan.
Miho KimachiDepartment of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasushi TsujimotoDepartment of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Mohammad Hassan MuradEvidence-Based Practice Center, Mayo Clinic, Rochester, Minnesota, USA.
Tianjing LiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0001-5179-8321
Toshi A FurukawaDepartment of Health Promotion and Human Behavior, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0003-2159-3776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCumulative 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.

Indexed as

Practice Guidelines as TopicBone Diseases, MetabolicClinical Trials as TopicCross-Sectional StudiesEpidemiologic StudiesFemaleHumansNetwork Meta-Analysis as TopicOsteoporosis, PostmenopausalPrescription DrugsRandomized Controlled Trials as TopicTreatment OutcomePrescription Drugsnetwork meta-analysispractice guidelineprocess assessment (health care)

Identifiers

PMID30518583
PMCPMC6286475

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Registered trials

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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.