Evidence map›Paper›PMID 37872604›Full record

ArticlePerioperative medicine (London, England)2023

Significant perioperative parameters affecting postoperative complications within 30 days following craniotomy for primary malignant brain tumors.

Yao-Chung Yang, Yao-Shen Chen, Wei-Chuan Liao, Chun-Hao Yin, Yung-Shang Lin, Meng-Wei Chen, Jin-Shuen Chen

Open access · goldAbstract read
In one paragraph

Article in Perioperative medicine (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. LASSO-based machine learning algorithm for prediction of dysphagia in patients suffering anterior cervical discectomy and fusion.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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 3 institutions in 1 country.

Yao-Chung YangDivision of Neurosurgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yao-Shen ChenDepartment of Administration, Kaohsiung Veterans General Hospital, Kaohsiung City, 81362, Taiwan.
Wei-Chuan LiaoDivision of Neurosurgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Chun-Hao YinDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Institute of Health Care Management, National Sun Yat-Sen University, Kaohsiung, Taiwan.
Yung-Shang LinDivision of Neurosurgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Meng-Wei ChenDepartment of Surgery, Kaohsiung Armed Force General Hospital, Kaohsiung, Taiwan.
Jin-Shuen ChenDepartment of Administration, Kaohsiung Veterans General Hospital, Kaohsiung City, 81362, Taiwan. dgschen@vghks.gov.tw.
Kaohsiung Veterans General Hospital · TWNational Sun Yat-sen University · TWKaohsiung Armed Forces General Hospital · TW

Funding

Kaohsiung Veterans General Hospital KSVGH111-050
6 · The paper itself

Abstract

backgroundThe occurrence of postoperative complications within 30 days (PC1M) of a craniotomy for the removal of a primary malignant brain tumor has been associated with a poor prognosis. However, it is still unclear to early predict the occurrence of PC1M. This study aimed to identify the potential perioperative predictors of PC1M from its preoperative, intraoperative, and 24-h postoperative parameters.

methodsPatients who had undergone craniotomy for primary malignant brain tumor (World Health Organization grades III and IV) from January 2011 to December 2020 were enrolled from a databank of Kaohsiung Veterans General Hospital, Taiwan. The patients were classified into PC1M and nonPC1M groups. PC1M was defined according to the classification by Landriel et al. as any deviation from an uneventful 30-day postoperative course. In both groups, data regarding the baseline characteristics and perioperative parameters of the patients, including a new marker-kinetic estimated glomerular filtration rate, were collected. Logistic regression was used to analyze the predictability of the perioperative parameters.

resultsThe PC1M group included 41 of 95 patients. An American Society of Anesthesiologists score of > 2 (aOR, 3.17; 95% confidence interval [CI], 1.19-8.45; p = 0.021), longer anesthesia duration (aOR, 1.16; 95% CI, 0.69-0.88; p < 0.001), 24-h postoperative change in hematocrit by >  - 4.8% (aOR, 3.45; 95% CI, 1.22-9.73; p = 0.0019), and 24-h postoperative change in kinetic estimated glomerular filtration rate of < 0 mL/min (aOR, 3.99; 95% CI, 1.52-10.53; p = 0.005) were identified as independent risk factors for PC1M via stepwise logistic regression analysis. When stratified according to the age of ≥ 65 years (OR, 11.55; 95% CI, 1.30-102.79; p = 0.028), the reduction of kinetic estimated glomerular filtration rate was more robustly associated with a higher risk of PC1M.

conclusionsFour parameters were demonstrated to significantly influence the risk of PC1M in patients undergoing primary malignant brain tumor removal. Measuring and verifying these markers, especially kinetic estimated glomerular filtration rate, would help early recognition of PC1M risk in clinical care.

Indexed as

Glomerular filtration ratePostoperative complicationPrimary malignant brain tumor

Identifiers

PMID37872604
PMCPMC10594926
OpenAlexW4387880135

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LicenceCC BY
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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.