Evidence map›Paper›PMID 39298941›Full record

ArticleThe Journal of surgical research2024

Machine Learning on 50,000 Manuscripts Shows Increased Clinical Research by Academic Cardiac Surgeons.

Anirudha S Chandrabhatla, Adishesh K Narahari, Kevin T Qiu, Theodore Vasiliadis, Joseph D Nguyen, Aditya Singh, Kennedy Gray, Raymond J Strobel, Kenan W Yount, Leora T Yarboro and 5 more

Abstract read
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Anirudha S ChandrabhatlaDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Adishesh K NarahariDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Kevin T QiuDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Theodore VasiliadisDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Joseph D NguyenDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Aditya SinghDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Kennedy GrayDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Raymond J StrobelDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Kenan W YountDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Leora T YarboroDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Irving L KronDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
J Hunter MehaffeyDepartment of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, West Virginia.
Ourania A PreventzaDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
John A KernDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Nicholas R TemanDivision of Cardiothoracic Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia. Electronic address: nrt4c@uvahealth.org.

Funding

Cardiovascular Surgery Training ProgramT32HL007849 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI KRON, IRVING L., LAUBACH, VICTOR E · 1998 to 2025
$7.0M
Network for Cardiothoracic Surgical Investigations in Cardiovascular MedicineU01HL088925 · NHLBI · UNIVERSITY OF VIRGINIA · PI KRON, IRVING L. · 2007 to 2013
$2.1M
NHLBI NIH HHS T32 HL007849NHLBI NIH HHS U01 HL088925
6 · The paper itself

Abstract

introductionAcademic cardiac surgeons are productive researchers and innovators. We sought to perform a comprehensive machine learning (ML)-based characterization of cardiac surgery research over the past 40 y to identify trends in research pursuits.

methodsUS-based academic websites were queried for surgeon profiles. Publications since 1980 were obtained from Web of Science, and publication classifications (e.g., "human", "animal") were collected through the National Institutes of Health iCite tool. Publications were deemed "basic or translational" if >50% of their classification was under "animal" or "molecular or cell", and "clinical" if otherwise. ML-based clustering was performed on publication titles and Medical Subject Heading terms to identify research topics.

resultsA total of 944 cardiac surgeons accounted for 48,031 unique publications. Average citations per year have decreased since 1980 (P < 0.001). The percentage of basic or translational publications by cardiac surgeons has decreased over time (P < 0.001), comprising of only 8% of publications in 2022. Adult cardiac surgeons, those who received an F32, K08, or R01, and those with a PhD were more likely to publish basic or translational research. Top areas of basic or translational research were myocardial reperfusion, aortic aneurysms or remodeling, and transplant immunology. Major areas of clinical research included aortic disease, aortic valve disease, and mechanical circulatory support. Collaboration analysis revealed that 55% of publications were single-center, and the yearly percentage of these publications has decreased over time (P < 0.001).

conclusionsCardiac surgeons are performing less basic or translational research relative to clinical research than ever before. The majority of publications over the past 40 y did not involve cross-center collaboration. Continued support for clinical research is needed, while also encouraging collaborative basic or translational science to foster innovation in patient care.

Indexed as

Biomedical ResearchMachine LearningSurgeonsCardiac Surgical ProceduresHumansThoracic SurgeryTranslational Research, BiomedicalUnited StatesAcademic cardiac surgeryMachine learningNatural language processingResearch productivity

Identifiers

PMID39298941
PMCPMC11602380

What OpenQuestion holds

Textmetadata
LicenceTDM
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.