Evidence map›Paper›PMID 35743739›Full record

ArticleJournal of personalized medicine2022

Shock Index Is a Validated Prediction Tool for the Short-Term Survival of Advanced Cancer Patients Presenting to the Emergency Department.

Zhong Ning Leonard Goh, Mu-Wei Chen, Hao-Tsai Cheng, Kuang-Hung Hsu, Chen-Ken Seak, Joanna Chen-Yeen Seak, Seng Kit Ling, Shao-Feng Liao, Tzu-Heng Cheng, Yi-Da Sie and 5 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Zhong Ning Leonard GohSarawak General Hospital, Kuching 93586, Sarawak, Malaysia.ORCID 0000-0002-9252-0323
Mu-Wei ChenDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Hao-Tsai ChengCollege of Medicine, Chang Gung University, Taoyuan 33302, Taiwan.
Kuang-Hung HsuDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Chen-Ken SeakQueen Elizabeth Hospital, Kota Kinabalu 88586, Sabah, Malaysia.
Joanna Chen-Yeen SeakSarawak General Hospital, Kuching 93586, Sarawak, Malaysia.
Seng Kit LingQueen Elizabeth Hospital, Kota Kinabalu 88586, Sabah, Malaysia.
Shao-Feng LiaoDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Tzu-Heng ChengDepartment of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan.
Yi-Da SieDepartment of Emergency Medicine, China Medical University Hospital, Taichung 404332, Taiwan.
Chih-Huang LiDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Hsien-Yi ChenDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.
Cheng-Yu ChienDepartment of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan.ORCID 0000-0001-9538-6265
Chen-June SeakDepartment of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan.ORCID 0000-0003-0984-8385
Spot Investigators

Funding

Chang Gung Memorial Hospital in Taiwan CPRPG3D0012,CMRPG3J1721,CMRPVVL0071 and CORPVVL0061Ministry of Science and Technology of Taiwan MOST 109-2314-B-182A-102-
6 · The paper itself

Abstract

Advanced cancer patients who are not expected to survive past the short term can benefit from early initiation of palliative care in the emergency department (ED). This discussion, however, requires accurate prognostication of their short-term survival. We previously found in our retrospective study that shock index (SI) is an ideal risk stratification tool in predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. This study is a follow-up prospective validation study conducted from January 2019 to April 2021. A total of 410 advanced cancer patients who presented to the ED of a medical centre and could be followed-up feasibly were recruited. Univariate and multivariable logistic regression analyses were performed with receiver operator calibrating (ROC) curve analysis. Non-survivors had significantly lower body temperatures, higher pulse rates, higher respiratory rates, lower blood pressures, and higher SI. Each 0.1 increment of SI increased the odds of 60-day mortality by 1.591. Area under ROC curve was 0.7819. At optimal cut-off of 0.94, SI had 66.10% accuracy. These results were similar to our previous study, thus validating the use of SI in predicting the 60-day mortality of advanced cancer patients presenting to the ED. Identified patients may be offered palliative care.

Indexed as

60-day survivaladvanced canceremergency departmentemergency physiciansshock indexStratification to Prevent Overcrowding Taskforce (SPOT)

Identifiers

PMID35743739
PMCPMC9225656

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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.