Evidence map›Paper›PMID 30450145›Full record

ArticleThe open nursing journal2018

Depressive Symptoms and Complications Early after Acute Myocardial Infarction: Gender Differences.

Mohannad Eid AbuRuz, Ghadeer Al-Dweik

Open access · diamondAbstract read
In one paragraph

Article in The open nursing journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Mohannad Eid AbuRuzCollege of Nursing, Applied Science Private University, Amman, Jordan.
Ghadeer Al-DweikCollege of Nursing, Applied Science Private University, Amman, Jordan.
Applied Science Private University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease is the first leading cause of death worldwide. Coronary heart disease is the most common manifestation of cardiovascular disease. Acute myocardial infarction is the primary manifestation of coronary heart disease. Depression is a common and predicted complication after acute myocardial infarction. Limited studies evaluated gender differences in depressive symptoms after acute myocardial infarction especially in developing countries.

objectiveThe study aimed to determine whether there was a difference in depression levels and rate of complications based on gender early after acute myocardial infarction.

methodThis was a prospective comparative study on 230 patients (150 men and 80 women) with a confirmed diagnosis of acute myocardial infarction. All participants signed an informed consent, filled sociodemographic and clinical questionnaire and the Depression Subscale of the Hospital Anxiety and Depression Scale. Clinical data were abstracted from the participants' medical record after discharge.

resultsEighty-six participants (37.4%), 54 men and 32 women, developed 1 or more complications during hospitalization. Female patients were more depressed (14.4±3.5

conclusionDepressive symptoms independently predicted complications after acute myocardial infarction in both men and women. The inclusion of depression assessment tools in acute myocardial infarction treatment protocols is highly recommended.

Indexed as

Acute myocardial infarctionComplicationCoronary Heart Disease (CHD)CVDDepressive symptomsDeveloping countries

Identifiers

PMID30450145
PMCPMC6198415
OpenAlexW2897334371

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.