Evidence map›Paper›PMID 30191136›Full record

ArticleWorld journal of clinical pediatrics2018

Innovation for rare diseases and bioethical concerns: A thin thread between medical progress and suffering.

Alberto Tommasini, Andrea Magnolato, Irene Bruno

Abstract readEditorial
In one paragraph

Article in World journal of clinical pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Alberto TommasiniDepartment of Pediatrics, Institute of Maternal and Child Health, IRCCS Burlo Garofolo, Trieste 34137, Italy. alberto.tommasini@burlo.trieste.it.
Andrea MagnolatoDepartment of Pediatrics, Institute of Maternal and Child Health, IRCCS Burlo Garofolo, Trieste 34137, Italy.
Irene BrunoDepartment of Pediatrics, Institute of Maternal and Child Health, IRCCS Burlo Garofolo, Trieste 34137, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of precision medicines based on small molecules, antibodies, RNAs and gene therapy, technological innovation is providing some exciting possibilities to treat the most severe genetic diseases. However, these treatments do not always lead to a cure for the disease, and there are several factors that may hinder their overall success. Patients living during a period of great medical change and innovation may benefit from these technological advances but may also just face failures, both in terms of frustrated hopes as well as suffering. In this article, we are telling the stories of three children with rare and severe disorders, who live in an age of significant medical changes, bearing the burden of difficult scientific and ethical choices. The first two cases that are suffering respectively from severe immunodeficiency and beta thalassemia have already been described in scientific journals, as well as in popular magazines. Although similar when considering the medical challenges, the two cases had opposite outcomes, which resulted in distinct ethical implications. The third case is a baby with spinal muscular atrophy, living at a time of continued innovation in the treatment of the disease. With these cases, we discuss the challenges of providing correct information and proper counseling to families and patients that are making the bumpy journey on the road of medical innovation.

Indexed as

Beta thalassemiaBioethicsGeneticsHistory of medicinePrecision medicinePrimary immunodeficiencySpinal muscular atrophyX-severe combined immunodeficiency

Identifiers

PMID30191136
PMCPMC6125142

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.