Evidence map›Paper›PMID 29212855›Full record

ArticleCancer research2018

T-Cell Densities in Brain Metastases Are Associated with Patient Survival Times and Diffusion Tensor MRI Changes.

Rasheed Zakaria, Angela Platt-Higgins, Nitika Rathi, Mark Radon, Sumit Das, Kumar Das, Maneesh Bhojak, Andrew Brodbelt, Emmanuel Chavredakis, Michael D Jenkinson and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  6. Review
  7. Immune related biomarkers for cancer metastasis to the brain.Experimental hematology & oncology · 2022
    Review
  8. Article
  9. Article
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  12. Review
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  15. Article
  16. Brain Metastasis Organotropism.Cold Spring Harbor perspectives in medicine · 2020
    Review
  17. Review
  18. Article
  19. Review
  20. 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

11 authors at 1 institution in 1 country.

Rasheed ZakariaDepartment of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom. rzakaria@nhs.net.
Angela Platt-HigginsInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Nitika RathiDepartment of Neuropathology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Mark RadonDepartment of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Sumit DasDepartment of Neuropathology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Kumar DasDepartment of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Maneesh BhojakDepartment of Neuroradiology, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Andrew BrodbeltDepartment of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Emmanuel ChavredakisDepartment of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Michael D JenkinsonDepartment of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Philip S RudlandInstitute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
University of Liverpool · GB

Funding

Medical Research Council G0801447Medical Research Council MR/L017342/1
6 · The paper itself

Abstract

Brain metastases are common and are usually detected by MRI. Diffusion tensor imaging (DTI) is a derivative MRI technique that can detect disruption of white matter tracts in the brain. We have matched preoperative DTI with image-guided sampling of the brain-tumor interface in 26 patients during resection of a brain metastasis and assessed mean diffusivity and fractional anisotropy (FA). The tissue samples were analyzed for vascularity, inflammatory cell infiltration, growth pattern, and tumor expression of proteins associated with growth or local invasion such as Ki67, S100A4, and MMP2, 9, and 13. A lower FA in the peritumoral region indicated more white matter tract disruption and independently predicted longer overall survival times (HR for death = 0.21; 95% confidence interval, 0.06-0.82;

Indexed as

AdultAgedBrain NeoplasmsDiffusion Magnetic Resonance ImagingFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasmsPrognosisProspective StudiesSurvival RateT-LymphocytesYoung Adult

Identifiers

PMID29212855
PMCPMC5796648
OpenAlexW2772527484

What OpenQuestion holds

Textmetadata
LicenceTDM
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.