Evidence map›Paper›PMID 19224139›Full record

ArticleImmunologic research2009

Hematopoietic stem cell gene therapy for adenosine deaminase deficient-SCID.

Alessandro Aiuti, Immacolata Brigida, Francesca Ferrua, Barbara Cappelli, Robert Chiesa, Sarah Marktel, Maria-Grazia Roncarolo

Abstract read
PubMed Publisher
In one paragraph

Article in Immunologic research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. Busulfan Pharmacokinetics in Adenosine Deaminase-Deficient Severe Combined Immunodeficiency Gene Therapy.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

7 authors at 2 institutions in 1 country.

Alessandro AiutiSan Raffaele Telethon Institute for Gene Therapy (HSR-TIGET) and Pediatric Immunohematology and Bone Marrow Transplant Unit, Scientific Institute HS Raffaele, Via Olgettina 58, 20132, Milan, Italy. a.aiuti@hsr.it
Immacolata Brigida
Francesca Ferrua
Barbara Cappelli
Robert Chiesa
Sarah Marktel
Maria-Grazia Roncarolo
The San Raffaele Telethon Institute for Gene Therapy · ITVita-Salute San Raffaele University · IT

Funding

Telethon TGT06A01
6 · The paper itself

Abstract

Gene therapy is a highly attractive strategy for many types of inherited disorders of the immune system. Adenosine deaminase (ADA) deficient-severe combined immunodeficiency (SCID) has been the target of several clinical trials based on the use of hematopoietic stem/progenitor cells engineered with retroviral vectors. The introduction of a low intensity conditioning regimen has been a crucial factor in achieving stable engrafment of hematopoietic stem cells and therapeutic levels of ADA-expressing cells. Recent studies have demonstrated that gene therapy for ADA-SCID has favorable safety profile and is effective in restoring normal purine metabolism and immune functions. Stem cell gene therapy combined with appropriate conditioning regimens might be extended to other genetic disorders of the hematopoietic system.

Indexed as

Hematopoietic Stem Cell TransplantationAdenosine DeaminaseClinical Trials as TopicGenetic TherapyGenetic VectorsHematopoietic Stem CellsHumansSevere Combined ImmunodeficiencyT-LymphocytesTransduction, GeneticAdenosine Deaminasepegademase bovine

Identifiers

PMID19224139
OpenAlexW1968382194

What OpenQuestion holds

Textmetadata
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.