Evidence map›Paper›PMID 29371599›Full record

ReviewCell death & disease2018

Cell death-based treatment of childhood cancer.

Mike-Andrew Westhoff, Nicolas Marschall, Michael Grunert, Georg Karpel-Massler, Stefan Burdach, Klaus-Michael Debatin

Abstract readReview
In one paragraph

Review in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Precision medicine in pediatric oncology.Molecular and cellular pediatrics · 2018
    Review
  7. 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

6 authors.

Mike-Andrew WesthoffDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany. andrew.westhoff@uniklinik-ulm.de.
Nicolas MarschallDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.
Michael GrunertDepartment of Radiology, German Armed Forces Hospital of Ulm, Ulm, Germany.
Georg Karpel-MasslerDepartment of Neurosurgery, Ulm University Medical Center, Ulm, Germany.
Stefan BurdachDepartment of Pediatrics and Children's Cancer Research Center (CCRC), Technische Universität München (TUM), Munich, Germany.
Klaus-Michael DebatinDepartment of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany. Klaus-Michael.Debatin@uniklinik-ulm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Any therapy that aims at eradicating a cancerous growth will have at its core a cell death-inducing component. Here we argue that paediatric oncology presents with its unique set of considerations and problems, which-while taking the lead from oncological research experiences obtained from the adult population-need to be clinically evaluated independently. This is particularly true when considering long-term side effects. Precision medicine offers a promising new approach in therapy, but given as a monotherapy and in a limited combination, as found in an apoptosis inducer/sensitiser combination, it will most likely lead to mutation escape of the target cell population and the emergence of resistance. However, using the increasing amount of the molecular data as the basis for a complex combination therapy combining several key components such as cell death-inducing agents, kinase inhibitors and BH3 mimetics, holds great promise.

Indexed as

ApoptosisChildClinical Trials as TopicHumansModels, BiologicalNeoplasmsPrecision Medicine

Identifiers

PMID29371599
PMCPMC5833432

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.