Evidence map›Paper›PMID 34395347›Full record

ReviewFrontiers in pediatrics2021

Digital Health for Supporting Precision Medicine in Pediatric Endocrine Disorders: Opportunities for Improved Patient Care.

Luis Fernandez-Luque, Abdullah Al Herbish, Riyad Al Shammari, Jesús Argente, Bassam Bin-Abbas, Asma Deeb, David Dixon, Nabil Zary, Ekaterina Koledova, Martin O Savage

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Telehealth Fatigue: Is It Real? What Should Be Done?Journal of diabetes science and technology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.International journal of environmental research and public health · 2022
    Review
  17. Article
  18. Review
  19. 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 at 9 institutions in 6 countries.

Luis Fernandez-LuqueAdhera Health Inc., Palo Alto, CA, United States.
Abdullah Al HerbishDr. Sulaiman Al Habib Medical Group, Riyadh, Saudi Arabia.
Riyad Al ShammariNational Center for Artificial Intelligence, Saudi Data and Artificial Intelligence Authority, Riyadh, Saudi Arabia.
Jesús ArgenteDepartment of Pediatrics & Pediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Bassam Bin-AbbasKing Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Asma DeebPaediatric Endocrine Division, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
David DixonConnected Health and Devices, Merck, Ares Trading SA, Aubonne, Switzerland.
Nabil ZaryInstitute for Excellence in Health Professions Education, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Ekaterina KoledovaGlobal Medical Affairs, Merck Healthcare KGaA, Darmstadt, Germany.
Martin O SavageDepartment of Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine & Dentistry, London, United Kingdom.
King Faisal Specialist Hospital & Research Centre · SAMadrid Institute for Advanced Studies · ESMerck (Germany) · DEMerck Serono (Switzerland) · CHMohammed Bin Rashid University of Medicine and Health Sciences · AESaudi Heart Association · SASheikh Shakhbout Medical City · AESulaiman Al Rajhi Colleges · SAWilliam Harvey Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization of healthcare delivery is rapidly fostering development of precision medicine. Multiple digital technologies, known as telehealth or eHealth tools, are guiding individualized diagnosis and treatment for patients, and can contribute significantly to the objectives of precision medicine. From a basis of "one-size-fits-all" healthcare, precision medicine provides a paradigm shift to deliver a more nuanced and personalized approach. Genomic medicine utilizing new technologies can provide precision analysis of causative mutations, with personalized understanding of mechanisms and effective therapy. Education is fundamental to the telehealth process, with artificial intelligence (AI) enhancing learning for healthcare professionals and empowering patients to contribute to their care. The Gulf Cooperation Council (GCC) region is rapidly implementing telehealth strategies at all levels and a workshop was convened to discuss aspirations of precision medicine in the context of pediatric endocrinology, including diabetes and growth disorders, with this paper based on those discussions. GCC regional investment in AI, bioinformatics and genomic medicine, is rapidly providing healthcare benefits. However, embracing precision medicine is presenting some major new design, installation and skills challenges. Genomic medicine is enabling precision and personalization of diagnosis and therapy of endocrine conditions. Digital education and communication tools in the field of endocrinology include chatbots, interactive robots and augmented reality. Obesity and diabetes are a major challenge in the GCC region and eHealth tools are increasingly being used for management of care. With regard to growth failure, digital technologies for growth hormone (GH) administration are being shown to enhance adherence and response outcomes. While technical innovations become more affordable with increasing adoption, we should be aware of sustainability, design and implementation costs, training of HCPs and prediction of overall healthcare benefits, which are essential for precision medicine to develop and for its objectives to be achieved.

Indexed as

artificial intelligencediabetes mellitusdigital healtheHealthgeneticsgrowth disordersgrowth hormone therapyinternet of things

Identifiers

PMID34395347
PMCPMC8358399
OpenAlexW3184038981

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.