Evidence map›Paper›PMID 33969274›Full record

ReviewHemaSphere2021

Selecting β-thalassemia Patients for Gene Therapy: A Decision-making Algorithm.

Donatella Baronciani, Maddalena Casale, Lucia De Franceschi, Giovanna Graziadei, Filomena Longo, Raffaella Origa, Paolo Rigano, Valeria Pinto, Monia Marchetti, Antonia Gigante and 1 more

Erratum issuedAbstract readReview
In one paragraph

Review in HemaSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Advancing the care of β-thalassaemia patients with novel therapies.Blood transfusion = Trasfusione del sangue · 2022
    Review
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Donatella BaroncianiUOC Immunoematologia e Trasfusionale, AORMN, Pesaro-Fano, Italy.
Maddalena CasaleUniversità degli Studi della Campania «Luigi Vanvitelli», Napoli, Italy.
Lucia De FranceschiDipartimento di Medicina, Università di Verona & AOUI Verona, Italy.
Giovanna GraziadeiFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Malattie Rare, Milano, Italy.
Filomena LongoCentro Microcitemie-Pediatria, AOU San Luigi Gonzaga, Orbassano (TO), Italy.
Raffaella OrigaOspedale Pediatrico Microcitemico "A.Cao," A.O. "G.Brotzu," Cagliari, Italy.
Paolo RiganoDivisione di Malattie Rare del Sangue e degli Organi Emopoietici, Ospedale V. Cervello, Palermo, Italy.
Valeria PintoCentro della Microcitemia e Anemie Congenite, E.O. Ospedali Galliera, Genova, Italy.
Monia MarchettiHematology Day Service, SOC Oncologia, Ospedale Cardinal Massaia, Asti, Italy.
Antonia GiganteSocietà Italiana Talassemie ed Emoglobinopatie (SITE), Roma, Italy.
Gian Luca ForniCentro della Microcitemia e Anemie Congenite, E.O. Ospedali Galliera, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This expert opinion originally developed by a panel of the Italian Society of Thalassemias and Hemoglobinopathies (SITE), reviewed and adopted by the European Hematology Association (EHA) through the EHA Scientific Working Group on Red Cells and Iron, has been developed as priority decision-making algorithm on evidence and consensus with the aim to identify which patients with transfusion-dependent beta-thalassemia (TDT) could benefit from a gene therapy (GT) approach. Even if the wide utilized and high successful allogeneic hematopoietic stem-cell transplantation provides the possibility to cure several patients a new scenario has been opened by GT. Therefore, it is important to establish the patients setting for whom it is priority indicated, particularly in the early phase of the diffuse use outside experimental trials conducted in high selected centers. Moreover, actual price, limited availability, and resources disposal constitute a further indication to a rational and progressive approach to this innovative treatment. To elaborate this algorithm, the experience with allogeneic transplantation has been used has a predictive model. In this large worldwide experience, it has been clearly demonstrated that key for the optimal transplant outcome is optimal transfusion and chelation therapy in the years before the procedure and consequently optimal patient's clinical condition. In the document, different clinical scenarios have been considered and analyzed for the possible impact on treatment outcome. According to the European Medicine Agency (EMA) for the GT product, this expert opinion must be considered as a dynamic, updatable, priority-based indications for physicians taking care of TDT patients.

Identifiers

PMID33969274
PMCPMC8096466

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.