Evidence map›Paper›PMID 39009943›Full record

ArticleJournal of cardiovascular translational research2024

Differential Expression of mRNA in Peripheral Blood Mononuclear Cells May Predict Postoperative Atrial Fibrillation in Coronary Artery Bypass Surgery Patients.

Mingqi Tan, Xiankun Liu, Lianqun Wang, Nan Jiang, Yunpeng Bai, Zhigang Guo

Abstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Mingqi TanAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Xiankun LiuDepartment of Cardiac Surgery, Chest Hospital, Tianjin University, Tianjin, China.
Lianqun WangDepartment of Cardiac Surgery, Chest Hospital, Tianjin University, Tianjin, China.
Nan JiangDepartment of Cardiac Surgery, Chest Hospital, Tianjin University, Tianjin, China.
Yunpeng BaiDepartment of Cardiac Surgery, Chest Hospital, Tianjin University, Tianjin, China. oliverwhite@126.com.ORCID http://orcid.org/0000-0001-6692-5418
Zhigang GuoAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. zhigangguo2022@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative Atrial Fibrillation (POAF) frequently follows Coronary Artery Bypass Grafting (CABG) surgery. This prospective study investigates genes linked to POAF in CABG patients, aiming to create a predictive model. Employing differential gene and methylation analyses, the study identified four genes (WARS2, CKAP2, CHI3L1, HSD17B6) associated with POAF. Preoperative plasma samples and clinical data were collected from 139 CABG patients, categorized into POAF (+) (43) and POAF (-) (96). Real-time quantitative PCR assessed gene expression, and a predictive model using the LASSO method demonstrated robust performance, with AUC values of 0.8895 in the training set and 0.7840 in the test set. This pioneering study integrates genomics and clinical data, suggesting WARS2, CKAP2, and CHI3L1 as potential indicators for POAF prediction.

Indexed as

Atrial FibrillationCoronary Artery BypassCoronary Artery DiseaseLeukocytes, MononuclearPredictive Value of TestsRNA, MessengerAgedDNA MethylationFemaleGene Expression ProfilingGenetic MarkersHumansMaleMiddle AgedProspective StudiesRisk AssessmentGenetic MarkersRNA, MessengerCoronary Artery Bypass GraftingLASSO Predictive ModelPostoperative Atrial Fibrillation

Identifiers

PMID39009943
PMCPMC11519310

What OpenQuestion holds

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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.