Evidence map›Paper›PMID 28321816›Full record

ReviewAdvances in experimental medicine and biology2017

Cancer Imaging in Immunotherapy.

Yousra Eleneen, Rivka R Colen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pseudoprogression of Melanoma Brain Metastases.Current oncology reports · 2018
    Review
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

2 authors.

Yousra EleneenDepartment of Cancer Systems Imaging and Diagnostic Radiology-Neuro Imaging, The University of Texas MD Anderson Cancer Center, T. Boone Pickens Academic Towe (FCT16.5037), 1515 Holcombe Blvd., Unit 1482, Houston, TX, 77030, USA.
Rivka R ColenDepartment of Cancer Systems Imaging and Diagnostic Radiology-Neuro Imaging, The University of Texas MD Anderson Cancer Center, T. Boone Pickens Academic Towe (FCT16.5037), 1515 Holcombe Blvd., Unit 1482, Houston, TX, 77030, USA. rcolen@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune therapeutics are revolutionizing cancer treatments. In tandem, new and confounding imaging characteristics have appeared that are distinct from those typically seen with conventional cytotoxic therapies. In fact, only 10% of patients on immunotherapy may show tumor shrinkage, typical of positive responses on conventional therapy. Conversely, those on immune therapies may initially demonstrate a delayed response, transient enlargement followed by tumor shrinkage, stable size, or the appearance of new lesions. New imaging response criteria such as the immune-related Response Evaluation Criteria in Solid Tumors (irRECIST) and immune-related Response Criteria (irRC) are being implemented in many trials. However, FDA approval of emerging therapies including immunotherapies still relies on the current RECIST criteria. In this review, we review the traditional and new imaging response criteria for evaluation of solid tumors and briefly touch on some of the more commonly associated immunotherapy-induced adverse events.

Indexed as

AnimalsDiagnostic ImagingEndpoint DeterminationHumansImmunotherapyNeoplasmsPredictive Value of TestsReproducibility of ResultsTreatment OutcomeTumor BurdenCancer imagingImmune imaging criteriaImmunotherapyirRCirRECIST

Identifiers

PMID28321816

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.