Evidence map›Paper›PMID 28101733›Full record

ArticleEJNMMI physics2017

3D absorbed dose distribution estimated by Monte Carlo simulation in radionuclide therapy with a monoclonal antibody targeting synovial sarcoma.

David Sarrut, Jean-Noël Badel, Adrien Halty, Gwenaelle Garin, David Perol, Philippe Cassier, Jean-Yves Blay, David Kryza, Anne-Laure Giraudet

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. WNT Signaling as a Therapeutic Target for Glioblastoma.International journal of molecular sciences · 2021
    Review
  7. Article
  8. WNT Signaling in Cancer Immunosurveillance.Trends in cell biology · 2019
    Review
  9. 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

9 authors at 4 institutions in 1 country.

David SarrutUniv Lyon, INSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, F-69008, France. David.Sarrut@creatis.insa-lyon.fr.
Jean-Noël BadelUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
Adrien HaltyUniv Lyon, INSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1206, Lyon, F-69008, France.
Gwenaelle GarinUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
David PerolUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
Philippe CassierUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
Jean-Yves BlayUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
David KryzaUniv Lyon, Université Lyon 1, CNRS, LAGEP UMR 5007, Lyon, F-69008, France.
Anne-Laure GiraudetUniv Lyon, Centre Léon Bérard, Lyon, 69008, France.
Centre Léon Bérard · FRCentre National de la Recherche Scientifique · FRUniversité Claude Bernard Lyon 1 · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backroundRadiolabeled OTSA101, a monoclonal antibody targeting synovial sarcoma (SS) developed by OncoTherapy Science, was used to treat relapsing SS metastases following a theranostic procedure: in case of significant

resultsBiodistribution and tracer quantification were analyzed on repeated SPECT/CT acquisitions performed after injection of

conclusions3D dosimetry results can explain the observed toxicity and tumors response. Despite an intense visual

Indexed as

Absorbed dose estimationMonoclonal antibodyMonte Carlo simulationSynovial sarcomaTargeted radionuclide therapy

Identifiers

PMID28101733
PMCPMC5241566
OpenAlexW2577784437

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.