Preoperative prediction of early mortality after surgery for spinal metastases

The study showed that four preoperative blood test abnormalities (hemoglobin, C-reactive protein white blood cell, and lactate dehydrogenase) indicated the possibility of early death within 3 months after surgery.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Clinical Oncology
Published
2024-09-09
DOI
https://doi.org/10.1093/jjco/hyae125
Citations
2
Primary Topic
Management of metastatic bone disease
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preoperative prediction of early mortality after surgery for spinal metastases

Hiroto Kamoda, Hideyuki Kinoshita, Yuji Endo, TSUKASA YONEMOTO et al.
2 citations
Japanese Journal of Clinical Oncology
Management of metastatic bone disease
1.15
article

Preoperative prediction of early mortality after surgery for spinal metastases

Hiroto Kamoda, Hideyuki Kinoshita, Yuji Endo, TSUKASA YONEMOTO, Toshinori Tsukanishi, Kosuke Takeda, Hiroki Takahashi, Yoko Hagiwara, Tetsuya Hirashima, Takeshi Ishii
article en
2 citations

Abstract

The study showed that four preoperative blood test abnormalities (hemoglobin, C-reactive protein white blood cell, and lactate dehydrogenase) indicated the possibility of early death within 3 months after surgery.

Japanese Journal of Clinical OncologyVol. 55(1)
Chiba University (JP), Chiba Cancer Center (JP), Tokyo Medical University Ibaraki Medical Center (JP)
Good health and well-being
Openalex Percentile: Top 21%
Management of metastatic bone disease
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.