Evidence map›Paper›PMID 20440621›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2010

GRACE risk score as predictor of in-hospital mortality in patients with chest pain.

Siegbert Stracke, Oliver Dörr, Martin C Heidt, Dursun Gündüz, Christiane Neuhof, Mariana Parahuleva, Harald Tillmanns, Ali Erdogan

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Chest pain: coronary CT in the ER.The British journal of radiology · 2016
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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

8 authors.

Siegbert StrackeDepartment of Angiology, University Clinic Giessen, Germany.
Oliver Dörr
Martin C Heidt
Dursun Gündüz
Christiane Neuhof
Mariana Parahuleva
Harald Tillmanns
Ali Erdogan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChest pain and chest discomfort are common problems in the acute care setting. Life-threatening causes of chest pain must be quickly differentiated from other less serious causes. There is a need to stratify risk rapidly in patients presenting to the emergency department (ED) with chest pain. This study evaluates the relationship between the GRACE risk score (GRS) and in-hospital mortality in patients presenting to the ED with chest pain of all causes.

methodsWe conducted a prospective study of a consecutive sample of 1,014 patients with chest pain and chest discomfort presenting to the medical ED of the University Clinic in Giessen, Germany. The GRS was calculated for each patient at admission. Additionally, the reason for admission into the hospital and the diagnosis on discharge or diagnosis of death were recorded. The relative risk between the risk groups was assessed, and the functional dependency between the GRS and observed in-hospital death was analyzed.

resultsA total of 94 patients died during the stay in the hospital, 83 patients with high risk, 9 with medium risk, and 2 with low risk. The risk of in-hospital death was 24.5% for high-risk patients, 2.6% for medium-risk patients, and 0.6% for patients with low risk. The correlation between the GRS and in-hospital mortality is strongly positive (p < 0.01).

conclusionThis study shows that the GRS accurately stratifies risk of intra-hospital mortality in patients presenting to the ED with chest pain and can guide patient triage and management.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overChest PainEmergency Service, HospitalFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk Factors

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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.