Evidence map›Paper›PMID 31013732›Full record

ArticleJournal of clinical medicine2019

Outcome of Robot-Assisted Bilateral Internal Mammary Artery Grafting via Left Pleura in Coronary Bypass Surgery.

Chieh-Jen Wu, Hsin-Hung Chen, Pei-Wen Cheng, Wen-Hsien Lu, Ching-Jiunn Tseng, Chi-Cheng Lai

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

  1. Article
  2. Article
  3. Article
  4. The Year in Cardiothoracic and Vascular Anesthesia: Selected Highlights from 2019.Journal of cardiothoracic and vascular anesthesia · 2020
    Article
  5. 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.

Chieh-Jen WuCardiovascular Center, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan. cjwu@vghks.gov.tw.
Hsin-Hung ChenDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan. shchen0910@gmail.com.
Pei-Wen ChengDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan. peiwen420@gmail.com.ORCID 0000-0002-4920-5942
Wen-Hsien LuSchool of Medicine, National Yang-Ming University, Taipei 112, Taiwan. whlu@vghks.gov.tw.
Ching-Jiunn TsengDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan. cjtseng@vghks.gov.tw.
Chi-Cheng LaiDepartment of Cardiology, Kaohsiung Municipal United Hospital, Kaohsiung 804, Taiwan. llccheng@vghks.gov.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies are extremely limited for the investigation of the clinical outcome of da Vinci robot-assisted bilateral internal mammary artery (BIMA) grafting in coronary artery bypass grafting (CABG) surgery. This study aimed to explore the short-term outcome of da Vinci robot-assisted BIMA grafting through the left pleural space. Relevant data were collected from patients with multi-vessel coronary artery disease receiving two kinds of CABG: a group of patients receiving da Vinci robot-assisted CABG with BIMA grafting, and another group of patients receiving sternotomy CABG with BIMA grafting. Primary endpoints, which included cardiovascular and renal endpoints, were analyzed between the groups using the chi-square test, analysis of variance test, and Kaplan-Meier analysis. Compared with the conventional group (

Indexed as

bilateral internal mammary arterycoronary artery bypass graftingcoronary artery diseaseda Vincioutcomesternotomy

Identifiers

PMID31013732
PMCPMC6518122

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.