Evidence map›Paper›PMID 38802734›Full record

ArticleBMC medical imaging2024

Tumour growth rate predicts overall survival in patients with recurrent WHO grade 4 glioma.

Jeffer Hann Wei Pang, Seyed Ehsan Saffari, Guan Rong Lee, Wai-Yung Yu, Choie Cheio Tchoyoson Lim, Kheng Choon Lim, Chia Ching Lee, Wee Yao Koh, Wei Tsau David Chia, Kevin Lee Min Chua and 5 more

Abstract read
In one paragraph

Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Jeffer Hann Wei Pang *Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433, Singapore, Singapore.
Seyed Ehsan Saffari *Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433, Singapore, Singapore.
Guan Rong LeeDepartment of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433, Singapore, Singapore.
Wai-Yung YuDepartment of Neuroradiology, National Neuroscience Institute, Singapore, Singapore.
Choie Cheio Tchoyoson LimDepartment of Neuroradiology, National Neuroscience Institute, Singapore, Singapore.
Kheng Choon LimDepartment of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore.
Chia Ching LeeDivision of Radiation Oncology, National University Cancer Institute, Singapore, Singapore.
Wee Yao KohDivision of Radiation Oncology, National University Cancer Institute, Singapore, Singapore.
Wei Tsau David ChiaDivision of Radiation Oncology, National University Cancer Institute, Singapore, Singapore.
Kevin Lee Min ChuaDepartment of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Chee Kian ThamDepartment of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
Yin Yee Sharon LowDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Wai Hoe NgDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Chyi Yeu David LowDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Xuling LinDepartment of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433, Singapore, Singapore. lin.xu.ling@singhealth.com.sg.

Funding

National Medical Research Council MOH-000541-00SingHealth Duke-NUS Neuroscience Academic Clinical Programme 06/FY2017/P1/13-A27
6 · The paper itself

Abstract

purposeAccurate prognostication may aid in the selection of patients who will benefit from surgery at recurrent WHO grade 4 glioma. This study aimed to evaluate the role of serial tumour volumetric measurements for prognostication at first tumour recurrence.

methodsWe retrospectively analyzed patients with histologically-diagnosed WHO grade 4 glioma at initial and at first tumour recurrence at a tertiary hospital between May 2000 and September 2018. We performed auto-segmentation using ITK-SNAP software, followed by manual adjustment to measure serial contrast-enhanced T1W (CE-T1W) and T2W lesional volume changes on all MRI images performed between initial resection and repeat surgery.

resultsThirty patients met inclusion criteria; the median overall survival using Kaplan-Meier analysis from second surgery was 10.5 months. Seventeen (56.7%) patients received treatment post second surgery. Univariate cox regression analysis showed that greater rate of increase in lesional volume on CE-T1W (HR = 2.57; 95% CI [1.18, 5.57]; p = 0.02) in the last 2 MRI scans leading up to the second surgery was associated with a higher mortality likelihood. Patients with higher Karnofsky Performance Score (KPS) (HR = 0.97; 95% CI [0.95, 0.99]; p = 0.01) and who received further treatment following second surgery (HR = 0.43; 95% CI [0.19, 0.98]; p = 0.04) were shown to have a better survival.

conclusionHigher rate of CE-T1W lesional growth on the last 2 MRI images prior to surgery at recurrence was associated with increase mortality risk. A larger prospective study is required to determine and validate the threshold to distinguish rapidly progressive tumour with poor prognosis.

Indexed as

Brain NeoplasmsGliomaMagnetic Resonance ImagingNeoplasm Recurrence, LocalAdultAgedFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingPrognosisRetrospective StudiesTumor BurdenGlioblastomaMagnetic resonance imagingPrognostic factorTumour volume

Identifiers

PMID38802734
PMCPMC11131225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.