Evidence map›Paper›PMID 33649288›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

Comparison of the Performance of 24 Early Warning Scores with the Updated National Early Warning Score (NEWS2) for Predicting Unplanned Intensive Care Unit (ICU) Admission in Postoperative Brain Tumor Patients: A Retrospective Study at a Single Center.

Lingli Peng, Zhen Luo, Lingling Liang, Mingming Liu, Lingyao Meng, Jianwen Tan, Lili Song, Yan Zhang, Lixiang Wu

Abstract read
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Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

9 authors.

Lingli PengXiangya School of Public Health, Central South University, Changsha, Hunan, China (mainland).
Zhen LuoXiangya Nursing School, Central South University, Changsha, Hunan, China (mainland).
Lingling LiangOrthopedics Department, Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China (mainland).
Mingming LiuXiangya Nursing School, Central South University, Changsha, Hunan, China (mainland).
Lingyao MengXiangya Nursing School, Central South University, Changsha, Hunan, China (mainland).
Jianwen TanDepartment of Organ Transplantation, Xiangya Hospital, Central South University, Changsha, Hunan, China (mainland).
Lili SongXiangya Nursing School, Central South University, Changsha, Hunan, China (mainland).
Yan ZhangXiangya Nursing School, Central South University, Changsha, Hunan, China (mainland).
Lixiang WuXiangya School of Public Health, Central South University, Changsha, Hunan, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND There have been few studies to evaluate early warning score (EWS) systems, or track and trigger systems (TTS), to identify early clinical deterioration in patients following brain tumor surgery who are admitted to the Intensive Care Unit (ICU). The National Early Warning Score (NEWS2) is an established method used in the U.K. National Health Service to improve care for in-hospital patients. This retrospective study from a single center aimed to compare the performance of NEWS2 with 24 other types of EWS to evaluate unplanned ICU admissions within 72 h after brain tumor surgery. MATERIAL AND METHODS A total of 326 patients with brain tumors were included in the study. Patients who experienced unplanned ICU transfer after surgery (69 cases) were diagnostically matched with patients who did not require intensive care (257 controls). We collected the physiological variables to calculate the area under the receiver operator characteristic curve (AUROC), sensitivity, specificity, Youden index values, cutoff values, positive predictive values, and negative predictive values. RESULTS The NEWS2 identified postoperative brain tumor patients with AUROC (0.860, p=0.000). The Patient-At-Risk (PAR) score was higher than NEWS2 in terms of AUROC value (0.870, P=0.000), Youden index (0.589 vs 0.542). CONCLUSIONS The findings showed that although the NEWS 2 performed well when used to evaluate unplanned ICU admissions within 72 h of postoperative brain tumor patients, the PAR score was also an accurate EWS.

Indexed as

AdultAgedArea Under CurveBrain NeoplasmsCase-Control StudiesCritical CareEarly Warning ScoreFemaleForecastingHospitalizationHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPatient Admission

Identifiers

PMID33649288
PMCPMC7938866

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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.