Evidence map›Paper›PMID 35419733›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

Combined analysis of clinical and laboratory markers to predict the risk of venous thromboembolism in patients with IDH1 wild-type glioblastoma.

Yong Huang, Haixia Ding, Min Luo, Sirui Li, Conghua Xie, Yahua Zhong, Zhiqiang Li

Abstract read
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Cerebrovascular and Peripheral Vascular Complications in Cancer Patients.Current neurology and neuroscience reports · 2025
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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

7 authors at 1 institution in 1 country.

Yong HuangDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Shuiguohu street, 168 Donghu road, Wuhan, Hubei, China.
Haixia DingDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Shuiguohu street, 168 Donghu road, Wuhan, Hubei, China.
Min LuoDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Shuiguohu street, 168 Donghu road, Wuhan, Hubei, China.
Sirui LiDepartment of Radiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China.
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Shuiguohu street, 168 Donghu road, Wuhan, Hubei, China.
Yahua ZhongDepartment of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Shuiguohu street, 168 Donghu road, Wuhan, Hubei, China. doctorzyh73@163.com.ORCID http://orcid.org/0000-0003-2573-1080
Zhiqiang LiDepartment of Neurosurgery, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe have combined analysis of clinical and laboratory markers to try to find an optimal model to predict venous thromboembolism in isocitrate dehydrogenase 1 (IDH1) wild-type glioblastoma (GBM) by a prospective research.

methodsPatients with newly histologically confirmed IDH1 wild-type (IDH1wt) GBM were recruited for this study. Status of IDH1, PTEN, P53, BRAF, MGMT promoter methylation (MGMTp), and TERT promoter (TERTp) was determined using genetic sequencing through polymerase chain reaction (PCR). Amplification of EGFR was established through fluorescence in situ hybridization (FISH). Competing risk regression model was performed to calculate the risk of VTE. Clinical and laboratory parameters that were independently predicted risk of VTE were used to develop a risk assessment model (RAM).

resultsOne hundred thirty-one patients with IDH1wt GBM were included in the present analysis. A total of 48/131 patients (36.6%) developed VTE. D-dimer, ECOG score, and EGFR amplification were suggested to be significantly associated with the VTE risk in multivariable analysis. High ECOG score (>2), high D-dimer (>1.6 μg/ml), and EGFR amplification were used as the strongest independent predictors of increased risk of VTE. The cumulative incidence of VTE was 17.2% for patients with score 0 (n =29), 23.6% for patients with score 1 (n =55), and 63.8% for patients with score 2 (n = 35) or score 3 (n = 12) by application of a RAM.

conclusionsIn IDH1wt GBM patients, by applying a VTE risk assessment model, we could identify patients with a very high and low risk of VTE.

Indexed as

Brain NeoplasmsGlioblastomaVenous ThromboembolismBiomarkersErbB ReceptorsHumansIn Situ Hybridization, FluorescenceIsocitrate DehydrogenaseMutationProspective StudiesBiomarkersErbB ReceptorsIDH1 protein, humanIsocitrate DehydrogenaseGlioblastomaMarkersRisk assessment modelVenous thromboembolism

Identifiers

PMID35419733
OpenAlexW4223910840

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Registered trials

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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.