Evidence map›Paper›PMID 25922767›Full record

ArticleEmergency medicine international2015

An online tool for nurse triage to evaluate risk for acute coronary syndrome at emergency department.

Yuwares Sittichanbuncha, Patchaya Sanpha-Asa, Theerayut Thongkrau, Chaiyapon Keeratikasikorn, Noppadol Aekphachaisawat, Kittisak Sawanyawisuth

Open access · goldAbstract read
In one paragraph

Article in Emergency medicine international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 94% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
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

6 authors at 3 institutions in 1 country.

Yuwares SittichanbunchaEmergency Medicine Department, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.
Patchaya Sanpha-AsaEmergency Medicine Department, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.
Theerayut ThongkrauDepartment of Computer Sciences, Faculty of Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-6210-8573
Chaiyapon KeeratikasikornDepartment of Computer Sciences, Faculty of Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
Noppadol AekphachaisawatCentral Library, Silpakorn University, Bangkok 10200, Thailand.
Kittisak SawanyawisuthDepartment of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand ; Research Center in Back, Neck, Other Joint Pain and Human Performance (BNOJPH), Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0003-3570-8474
Khon Kaen University · THMahidol University · THSilpakorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. To differentiate acute coronary syndrome (ACS) from other causes in patients presenting with chest pain at the emergency department (ED) is crucial and can be performed by the nurse triage. We evaluated the effectiveness of the ED nurse triage for ACS of the tertiary care hospital. Methods. We retrospectively enrolled consecutive patients who were identified as ACS at risk patients by the ED nurse triage. Patients were categorized as ACS and non-ACS group by the final diagnosis. Multivariate logistic analysis was used to predict factors associated with ACS. An online model predictive of ACS for the ED nurse triage was constructed. Results. There were 175 patients who met the study criteria. Of those, 28 patients (16.0%) were diagnosed with ACS. Patients with diabetes, patients with previous history of CAD, and those who had at least one character of ACS chest pain were independently associated with having ACS by multivariate logistic regression. The adjusted odds ratios (95% confidence interval) were 4.220 (1.445, 12.327), 3.333 (1.040, 10.684), and 12.539 (3.876, 40.567), respectively. Conclusions. The effectiveness of the ED nurse triage for ACS was 16%. The online tool is available for the ED triage nurse to evaluate risk of ACS in individuals.

Identifiers

PMID25922767
PMCPMC4398917
OpenAlexW1976910383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.