Evidence map›Paper›PMID 29392968›Full record

ArticleCNS oncology2018

Single institution validation of a modified graded prognostic assessment of patients with breast cancer brain metastases.

Cheng-Hung Tai, Cheng-Chia Wu, Mark E Hwang, Anurag Saraf, Christopher Grubb, Ashish Jani, Matthew E Lapa, Jacquelyn I S Andrews, Steven R Isaacson, Adam M Sonabend and 7 more

Abstract readValidation Study
In one paragraph

Article in CNS oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Validation and comparison of Breast Graded Prognostic Assessment scores in patients with breast cancer and brain metastases.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    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

17 authors.

Cheng-Hung TaiDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Cheng-Chia WuDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Mark E HwangDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Anurag SarafDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Christopher GrubbDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Ashish JaniDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Matthew E LapaDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Jacquelyn I S AndrewsDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Steven R IsaacsonDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Adam M SonabendDepartment of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA.
Sameer A ShethDepartment of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA.
Guy M McKhannDepartment of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA.
Michael B SistiDepartment of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA.
Jeffrey N BruceDepartment of Neurological Surgery, Columbia University Medical Center, New York, NY 10032, USA.
Simon K ChengDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Eileen P ConnollyDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.
Tony Jc WangDepartment of Radiation Oncology, Columbia University Medical Center, New York, NY 10032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe number of breast cancer brain metastases is a prognostic clinical variable in the modified graded prognostic assessment (GPA) Index for breast cancer. PATIENTS &

methodsWe retrospectively gathered data from 127 breast cancer patients who underwent radiation therapy for brain metastasis. Patients were stratified by both breast GPA and modified breast GPA scores, and survival was determined using the Kaplan-Meier curves and Cox proportional hazards model. RESULTS &

conclusionThe Kaplan-Meier curve for patients under the breast GPA classification were not significant, but were significant under the modified breast GPA classification. The inclusion of number of brain metastases into the modified breast GPA index improved prognosis, thus validating the use of the modified breast GPA in prognosticating patient outcome.

Indexed as

Brain NeoplasmsBreast NeoplasmsHumansMiddle AgedPrognosisRetrospective StudiesSurvival Analysisbrain tumormetastasisradiation therapy

Identifiers

PMID29392968
PMCPMC6001561

What OpenQuestion holds

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LicenceCC BY
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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.