Evidence map›Paper›PMID 35969361›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2022

Novel Clinical Trial Designs in Neuro-Oncology.

Anurag Saraf, Lorenzo Trippa, Rifaquat Rahman

Open access · bronzeAbstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2022. 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
0.9field-weighted citation impact, top 25% 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, 6 citations in OpenAlex.

  1. Accelerating discovery: Transformative clinical trial models in neuro-oncology.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  2. Article
  3. Review
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  9. Therapeutic Advances in Neuro-Oncology.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    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

3 authors at 2 institutions in 1 country.

Anurag SarafHarvard Radiation Oncology Program, Boston, MA, USA.
Lorenzo TrippaDepartment of Data Sciences, Dana-Farber Cancer Institute, Harvard T H Chan School of Public Health, Boston, MA, USA.
Rifaquat RahmanDepartment of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA. rrahman@bwh.harvard.edu.
Dana-Farber Brigham Cancer Center · USDana-Farber Cancer Institute · US

Funding

Statistical Methods and Validation Analyses for the Integration of External Data in Clinical TrialsR01LM013352 · NLM · DANA-FARBER CANCER INST · PI TRIPPA, LORENZO · 2021 to 2024
$1.5M
NLM NIH HHS R01 LM013352
6 · The paper itself

Abstract

Scientific and technologic advances have led to a boon of candidate therapeutics for patients with malignancies of the central nervous system. The path from drug development to clinical use has generally followed a regimented order of sequential clinical trial phases. The recent increase in novel therapies, however, has strained the regulatory process and unearthed limitations of the current system, including significant cost, prolonged development time, and difficulties in testing therapies for rarer tumors. Novel clinical trial designs have emerged to increase efficiencies in clinical trial conduct to better evaluate and bring impactful drugs to patients in a timely manner. In order to better capture meaningful benefits for brain tumor patients, new endpoints to complement or replace traditional endpoints are also an increasingly important consideration. This review will explore the current challenges in the current clinical trial landscape and discuss novel clinical trial concepts, including consideration of limitations and risks of novel trial designs, within the context of neuro-oncology.

Indexed as

Brain NeoplasmsClinical Trials as TopicDrug DevelopmentHumansResearch DesignClinical trialsModern clinical trialsNovel trial designs

Identifiers

PMID35969361
PMCPMC9723049
OpenAlexW4291582739

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.