Evidence map›Paper›PMID 30190640›Full record

ArticleThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2018

Clinical role of serum Copeptin in acute coronary syndrome.

Manal Abd El Baky Mahmoud, Menat Allah Ali Shaaban, Ali Ali Ramzy

Open access · diamondAbstract read
In one paragraph

Article in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 2 institutions in 1 country.

Manal Abd El Baky MahmoudDepartment of Clinical Pathology, Faculty of Medicine, Ain Shams University, Egypt.
Menat Allah Ali ShaabanDepartment of Clinical Pathology, Faculty of Medicine, Ain Shams University, Egypt.
Ali Ali RamzyDepartment of Cardiology, Faculty of Medicine, Al Azhar University, Egypt.
Ain Shams University · EGAl-Azhar University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the role of Copeptin in diagnosis of acute myocardial infarction in troponin-blind period. SUBJECTS AND

methodsThis study was conducted on 40 patients who presented to emergency department complaining of chest pain and were highly suspicious to have acute cardiac ischemia, in addition to 10 subjects serving as a healthy control group. Blood samples were collected for determination of CK-MB, cTnI and Copeptin. These were measured twice (in patients' group); at 3 h and then at 6-9 h from admission time.

resultsThe first sample revealed a non-significant difference between UA group and AMI group as regards CKMB and troponin, however, high significant difference was found as regards Copeptin (Z = 5.29, P < 0.001). Moreover, ROC curve analysis of serum Copeptin for discriminating AMI group from UA group in the first sample showed diagnostic sensitivity and specificity of 100%. IN

conclusionDetermination of copeptin in early diagnosis of AMI has diagnostic value being superior to a conventional cTn-I within the first three hours after acute chest pain.

Indexed as

ACS, acute coronary syndromeAcute coronary syndromeAMI, acute myocardial infarctionAVP, arginine vasopressinCopeptincTns, cardiac troponinsNSTEMI, non-ST-segment elevation myocardial infarctionSTEMI, ST-segment elevation myocardial infarctionUA, unstable angina

Identifiers

PMID30190640
PMCPMC6123343
OpenAlexW2802702188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.