Evidence map›Paper›PMID 32952355›Full record

ArticleActa Cardiologica Sinica2020

Left Atrial Size; a Missing Component in Scoring Systems for Predicting Atrial Fibrillation Following Coronary Artery Bypass Surgery.

Abbasali Karimi, Hamidreza Goodarzynejad, Seyedeh Hamideh Mortazavi, Peyvand Bina, Arash Jalali, Abbas Salehi Omran, Seyed Hossein Ahmadi Tafti, Kyomars Abbasi, Ali Hossein Sabet, Saeed Sadeghian

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In one paragraph

Article in Acta Cardiologica Sinica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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  7. Assessment of the ability of the CHABMC cardiovascular disorders · 2021
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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

10 authors at 1 institution in 1 country.

Abbasali KarimiTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza GoodarzynejadTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Seyedeh Hamideh MortazaviTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Peyvand BinaTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Arash JalaliTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Abbas Salehi OmranTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Hossein Ahmadi TaftiTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Kyomars AbbasiTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Ali Hossein SabetTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Saeed SadeghianTehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral risk factors have been associated with the development of postoperative atrial fibrillation (AF). However, some important factors that may play substantial roles have been neglected in the final suggested risk models. In this study, we aimed to derive a new clinical risk index to predict AF in coronary artery bypass graft (CABG) patients.

methodsIn this retrospective cohort study we enrolled 3047 isolated CABG patients. A random sample of 2032 patients was used to derive a risk index for the prediction of post-CABG AF. A multivariate logistic regression model identified the independent preoperative predictors of post-CABG AF, and a simple risk index to predict AF was constructed. This risk index was cross-validated in a validation set of 1015 patients with isolated CABG.

resultsPost-CABG AF occurred in 15.9% and 15.7% of the patients in the prediction and validation sets, respectively. Using multivariate stepwise analysis, four preoperative variables including advanced age, left atrial (LA) enlargement, hypertension and cerebrovascular accident contributed to the prediction model (area under the receiver operating characteristic curve curve = 0.66). The effect of advanced age appeared to be dominant [age ≥ 75 years; odds ratio: 4.134, 95% confidence interval (CI): 2.791-6.121, p < 0.001]. Moderate to severe LA enlargement had an odds ratio of 2.176 (95% CI: 1.240-3.820, p = 0.013) for developing AF in our risk index.

conclusionsLA size was an important factor in risk stratification of post-CABG AF, which remained significant in the final model. Future scoring system studies might benefit from the use of this variable to obtain a more robust predictive value.

Indexed as

Atrial fibrillationCoronary artery bypass graftRisk prediction

Identifiers

PMID32952355
PMCPMC7490604
OpenAlexW3087601876

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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.