Evidence map›Paper›PMID 30034775›Full record

ArticleTherapeutic advances in drug safety2018

Crowdsourcing sugammadex adverse event rates using an in-app survey: feasibility assessment from an observational study.

Craig S Jabaley, Francis A Wolf, Grant C Lynde, Vikas N O'Reilly-Shah

Open access · bronzeAbstract read
In one paragraph

Article in Therapeutic advances in drug safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Craig S JabaleyDepartment of Anesthesiology, Emory University School of Medicine, Atlanta, GA, USA.
Francis A WolfDepartment of Anesthesiology, Emory University School of Medicine, Atlanta, GA, USA.
Grant C LyndeDepartment of Anesthesiology, Emory University School of Medicine, Atlanta, GA, USA.
Vikas N O'Reilly-ShahEmory University and Children's Healthcare of Atlanta, 3B South, 1364 Clifton Road NE, Atlanta, GA 30322, USA.ORCID https://orcid.org/0000-0003-0741-0291
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile applications (apps) have become a ubiquitous source of clinical decision support. We sought to ascertain the feasibility of using an app platform to obtain a crowdsourced measure of adverse drug reaction reporting rates associated with sugammadex administration and compare it with traditionally-derived estimates.

methodsUsing the widely-distributed anesthesia calculator app, 'Anesthesiologist', we surveyed anesthesia providers regarding their experience with adverse drug reactions associated with sugammadex administration.

resultsData were analyzed from 2770 participants in 119 countries responding between March 2016 and May 2017, who were estimated to have administered between 1.6-2.9 million doses (588-1040 administrations per participant). A low and high-end reporting rate of adverse events was estimated based on respondents' reported frequency and duration of sugammadex use. The estimated reporting rate of anaphylaxis due to sugammadex was 0.0055-0.098%, similar in range to previously published estimates.

conclusionsUse of an in-app survey facilitated a global assessment of anesthesia providers and could have useful applications in monitoring adverse events and estimating their rates. Further work is needed to validate this approach for other medications and clinical domains.

Indexed as

anaphylaxiscrowdsourcingmHealthsugammadex

Identifiers

PMID30034775
PMCPMC6048631
OpenAlexW2802359811

What OpenQuestion holds

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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.