Evidence map›Paper›PMID 36164356›Full record

ReviewContemporary clinical trials communications2022

Design and analysis of crossover trials for investigating high-risk medical devices: A review.

Bo Zhang, Jing Guo, Hui Zhang

Abstract readReview
In one paragraph

Review in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Comparison of Treatment Modality Crossovers in Telehealth and In-Person Behavioral Health Treatment in Rural Communities.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  5. 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

3 authors.

Bo ZhangDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Jing GuoDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, 100191, China.
Hui ZhangDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During evaluation of new investigational medical devices, the FDA recommends that investigators design a crossover clinical trial, in which the patients are arranged to cross over from one treatment arm to another. The FDA annually receives the premarket applications of investigational medical devices, in which sponsors design and conduct crossover trials as their confirmatory clinical trials for evaluating safety and effectiveness of the devices. This article reviews the use of crossover clinical trial in pivotal clinical trials for high-risk medical devices regulated and approved by the United States Food and Drug Administration (FDA) from 2005 to 2018. As an example, in which a crossover trial was implemented during the regulatory approval process of a new device, the article additionally presents the FDA-approved premarket approval (PMA) submission of the Medtronic MiniMed 530G system, an artificial pancreas device system that mimic a normally functioning pancreas by monitoring glucose levels and administering insulin at a certain threshold maintained by sensing blood glucose levels. The article also reiterates the critical regulatory considerations that the FDA made regarding the design and analysis of crossover trials in its guidance for industry.

Indexed as

Class-III medical DevicesCrossover clinical trialsDiabetes treatmentMedical device regulationU.S. food and drug administration

Identifiers

PMID36164356
PMCPMC9508509

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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.