Evidence map›Paper›PMID 32646021›Full record

ArticleInternational journal of environmental research and public health2020

Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department.

Tzu-Heng Cheng, Yi-Da Sie, Kuang-Hung Hsu, Zhong Ning Leonard Goh, Cheng-Yu Chien, Hsien-Yi Chen, Chip-Jin Ng, Chih-Huang Li, Joanna Chen-Yeen Seak, Chen-Ken Seak and 3 more

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Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Palliative and End-of-Life Care: More Work is Required.International journal of environmental research and public health · 2020
    Article
4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Tzu-Heng ChengDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Yi-Da SieDepartment of Emergency Medicine, China Medical University Hospital, Taichung 404332, Taiwan.ORCID 0000-0002-5404-6288
Kuang-Hung HsuLaboratory for Epidemiology, Department of Health Care Management, and Healthy Aging Research Center, Chang Gung University, Taoyuan 33302, Taiwan.
Zhong Ning Leonard GohSarawak General Hospital, Kuching, Sarawak 93586, Malaysia.ORCID 0000-0002-9252-0323
Cheng-Yu ChienDepartment of Emergency Medicine, Ton-Yen General Hospital, Zhubei, Hsinchu County 30268, Taiwan.ORCID 0000-0001-9538-6265
Hsien-Yi ChenDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Chip-Jin NgDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.ORCID 0000-0003-0363-2938
Chih-Huang LiDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Joanna Chen-Yeen SeakSarawak General Hospital, Kuching, Sarawak 93586, Malaysia.
Chen-Ken SeakSarawak General Hospital, Kuching, Sarawak 93586, Malaysia.
Yi-Tung LiuSchool of Medicine, National Defense Medical Center, Taipei 11490, Taiwan.
Chen-June SeakDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.ORCID 0000-0003-0984-8385
Spot InvestigatorsDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied in hospices or intensive care units, though they are unsuitable for use in the ED. We aim to examine the use of a shock index (SI) in predicting the 60-day survival of advanced cancer patients presenting to the ED. Identified high-risk patients and their families can then be counseled accordingly. Three hundred and five advanced cancer patients who presented to the EDs of three tertiary hospitals were recruited, and their data retrospectively analyzed. Relevant data regarding medical history and clinical presentation were extracted, and respective shock indices calculated. Multivariate logistic regression analyses were performed. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the SI. Nonsurvivors within 60 days had significantly lower body temperatures and blood pressure, as well as higher pulse rates, respiratory rates, and SI. Each 0.1 SI increment had an odds ratio of 1.39 with respect to 60-day mortality. The area under the ROC curve was 0.7511. At the optimal cut-off point of 0.94, the SI had 81.38% sensitivity and 73.11% accuracy. This makes the SI an ideal evaluation tool for rapidly predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. Identified patients can be counseled accordingly, and they can be assisted in making informed decisions on the appropriate treatment goals reflective of their prognoses.

Indexed as

Hospital MortalityEmergency Service, HospitalHumansMaleNasopharyngeal NeoplasmsRetrospective StudiesROC CurveSeverity of Illness IndexShockTime Factors60-day survivaladvanced canceremergency departmentemergency physiciansshock indexStratification to Prevent Overcrowding Taskforce (SPOT)

Identifiers

PMID32646021
PMCPMC7370122

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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.