Evidence map›Paper›PMID 30221121›Full record

ReviewCurrent transplantation reports2018

Approaches for Effective Clinical Application of Stem Cell Transplantation.

E Attico, V Sceberras, G Pellegrini

Abstract readReview
In one paragraph

Review in Current transplantation reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Early-Phase Clinical Trials of Bio-Artificial Organ Technology: A Systematic Review of Ethical Issues.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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.

E Attico *1Centre for Regenerative Medicine "Stefano Ferrari", University of Modena and Reggio Emilia, Modena, Italy.
V Sceberras *Holostem Terapie Avanzate, Modena, Italy.
G Pellegrini1Centre for Regenerative Medicine "Stefano Ferrari", University of Modena and Reggio Emilia, Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review highlights problems related to translation of advanced therapy medicinal products (ATMPs) from bench to bedsite. Regenerative medicine within the current regulatory frame reveals common hitches in the course of development, translation, and clinical application. This paper suggests outlining a path from the few examples of successfully approved vs unsuccessful advanced therapies. RECENT

findingsIn the multitude of ongoing studies, few of them achieved positive results with a final treatment available to patients; this result was possible due to multidisciplinary teams working together from the beginning of the development and during the hard route to standardization and clinical application. SUMMARY: The root of success of an advanced therapy requires not only the inescapable scientific and biological knowledge but also requires several contributions as regulatory, ethical, medical, and bio-engineering expertise, from the real beginning. A strong scientific rationale and an integrated network of expertises would contribute to a successful investment of available resources in advanced therapy medicinal products and to a greater confidence in future medicine.

Indexed as

ATMPCell therapyClinical trialGene therapyStem cellTranslational medicineValley of death

Identifiers

PMID30221121
PMCPMC6132451

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.