Evidence map›Paper›PMID 35485280›Full record

ArticleInteractive journal of medical research2022

Digital Scientific Platform for Independent Content in Neurology: Rigorous Quality Guideline Development and Implementation.

Daniel Kantor, Martin Farlow, Albert Ludolph, Joan Montaner, Raman Sankar, Robert N Sawyer, Fabrizio Stocchi, Agnès Lara, Sarah Clark, Karine Deschet and 2 more

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2022. 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

12 authors.

Daniel Kantor *Florida Atlantic University, Boca Raton, FL, United States.ORCID https://orcid.org/0000-0003-4446-2576
Martin Farlow *Department of Neurology, School of Medicine, Indiana University, Indianapolis, IN, United States.ORCID https://orcid.org/0000-0001-7897-5471
Albert Ludolph *Department of Neurology, University of Ulm, Ulm, Germany.ORCID https://orcid.org/0000-0002-5401-0904
Joan Montaner *Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain.ORCID https://orcid.org/0000-0003-4845-2279
Raman Sankar *Division of Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-5609-0362
Robert N Sawyer *Department of Neurology, University at Buffalo, State University of New York, New York, NY, United States.ORCID https://orcid.org/0000-0003-4541-770X
Fabrizio Stocchi *University San Raffaele Roma, Rome, Italy.ORCID https://orcid.org/0000-0002-5763-0033
Agnès Lara *Medicom Concept, Occitanie, France.ORCID https://orcid.org/0000-0002-0029-1173
Sarah Clark *Biogen Digital Health, Cambridge, MA, United States.ORCID https://orcid.org/0000-0002-8608-879X
Karine Deschet *Biogen Digital Health, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-0593-8551
Loucif Ouyahia *Biogen Digital Health, Cambridge, MA, United States.ORCID https://orcid.org/0000-0001-6618-6715
Yacine Hadjiat *Biogen Digital Health, Cambridge, MA, United States.ORCID https://orcid.org/0000-0002-2524-6854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital communication has emerged as a major source of scientific and medical information for health care professionals. There is a need to set up an effective and reliable methodology to assess and monitor the quality of content that is published on the internet.

objectiveThe aim of this project was to develop content quality guidelines for Neurodiem, an independent scientific information platform dedicated to neurology for health care professionals and neuroscientists. These content quality guidelines are intended to be used by (1) content providers as a framework to meet content quality standards and (2) reviewers as a tool for analyzing and scoring quality of content.

methodsSpecific scientific criteria were designed using a 5-point scale to measure the quality of curated and original content published on the website: for Summaries, (1) source reliability and topic relevance for neurologists, (2) structure, and (3) scientific and didactic value; for Congress highlights, (1) relevance of congress selection, (2) congress coverage based on the original program, and (3) scientific and didactic value of individual abstracts; for Expert points of view and talks, (1) credibility (authorship) and topic relevance for neurologists, (2) scientific and didactic value, and (3) reliability (references) and format. The criteria were utilized on a monthly basis and endorsed by an independent scientific committee of widely recognized medical experts in neurology.

resultsSummary content quality for the 3 domains (reliability and relevance, structure, and scientific and didactic value) increased in the second month after the implementation of the guidelines. The domain scientific and didactic value had a mean score of 8.20/10. Scores for the domains reliability and relevance (8-9/10) and structure (45-55/60) showed that the maintenance of these 2 quality items over time was more challenging. Talks (either in the format of interviews or slide deck-supported scientific presentations) and expert point of view demonstrated high quality after the implementation of the content quality guidelines that was maintained over time (15-25/25).

conclusionsOur findings support that content quality guidelines provide both (1) a reliable framework for generating independent high-quality content that addresses the educational needs of neurologists and (2) are an objective evaluation tool for improving and maintaining scientific quality level. The use of these criteria and this scoring system could serve as a standard and reference to build an editorial strategy and review process for any medical news or platforms.

Indexed as

assessmentbraincommunicationcontent qualitydevelopmentdigital healtheHealthguidelinehealth care professionalhealth informationimplementationmethodologymonitoringNeurodiemneurologyneuroscienceplatformquality

Identifiers

PMID35485280
PMCPMC9227648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.