Evidence map›Paper›PMID 39224181›Full record

ReviewFrontiers in nutrition2024

Telemedicine in nutritional management of children with severe neurological impairment: implication for quality of life.

Veronica Maria Tagi, Francesca Eletti, Jonabell Dolor, Gianvincenzo Zuccotti, Chiara Montanari, Elvira Verduci

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Veronica Maria TagiDepartment of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.
Francesca ElettiDepartment of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.
Jonabell DolorDepartment of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.
Gianvincenzo ZuccottiDepartment of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.
Chiara MontanariDepartment of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.
Elvira VerduciDepartment of Health Sciences, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children with severe neurological impairment (SNI) frequently present feeding problems requiring a close monitoring of their nutritional status. In addition to constant clinical monitoring of body composition and nutritional indexes in these patients, frequent reports of dietary intake and weight gain variations are useful to ensure proper nutritional management. Furthermore, non-oral feeding is often needed to avoid malnutrition or aspiration pneumonia, constantly necessitating medical assistance. Despite their necessity for frequent hospital accesses, these patients' disabilities represent an important obstacle to accessing care, generating anxiety and concern in children and their families. Telemedicine has proven to be a promising instrument for improving pediatric patients' healthcare in several fields. By breaking down geographical and temporal barriers, telehealth may represent a valuable tool to implement in clinical practice, in order to improve patients' outcomes and quality of life. The aim of this narrative review is to provide an overview of the main nutritional issues in children with SNI, the potential implications of telemedicine in their management and the available evidence regarding the effects and benefits of telehealth.

Indexed as

childrendysphagianeurological impairmentnutritiontelehealthtelemedicine

Identifiers

PMID39224181
PMCPMC11366627

What OpenQuestion holds

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LicenceCC BY
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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.