Evidence map›Paper›PMID 36225632›Full record

ReviewAmerican journal of cancer research2022

Towards updated understanding of brain metastasis.

Shuncong Wang, Yuanbo Feng, Lei Chen, Jie Yu, Chantal Van Ongeval, Guy Bormans, Yue Li, Yicheng Ni

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

8 authors.

Shuncong WangKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.
Yuanbo FengKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.
Lei ChenKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.
Jie YuKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.
Chantal Van OngevalDepartment of Radiology, University Hospitals Leuven, KU Leuven Herestraat 49, Leuven 3000, Belgium.
Guy BormansKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.
Yue LiShanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences Shanghai 201318, China.
Yicheng NiKU Leuven, Biomedical Group, Campus Gasthuisberg Leuven 3000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastasis (BM) is a common complication in cancer patients with advanced disease and attributes to treatment failure and final mortality. Currently there are several therapeutic options available; however these are only suitable for limited subpopulation: surgical resection or radiosurgery for cases with a limited number of lesions, targeted therapies for approximately 18% of patients, and immune checkpoint inhibitors with a response rate of 20-30%. Thus, there is a pressing need for development of novel diagnostic and therapeutic options. This overview article aims to provide research advances in disease model, targeted therapy, blood brain barrier (BBB) opening strategies, imaging and its incorporation with artificial intelligence, external radiotherapy, and internal targeted radionuclide theragnostics. Finally, a distinct type of BM, leptomeningeal metastasis is also covered.

Indexed as

artificial intelligenceblood-brain barrierBrain metastasisimagingmodelnuclear medicinetargeted therapy

Identifiers

PMID36225632
PMCPMC9548021

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.