Wireless monitoring and artificial intelligence: A bright future in cardiothoracic surgery.

David Kalfa, Sunil Agrawal, Nimrod Goldshtrom, Damien LaPar, Emile Bacha

Abstract readEditorialComment

In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it

0cells of the map it votes in

4citing 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

4 citing papers in PubMed.

Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort.Scientific reports · 2021
Trial
Advancements in noninvasive techniques for transplant rejection: from biomarker detection to molecular imaging.Journal of translational medicine · 2025
Review
Predicting the effectiveness of drugs used for treating cardiovascular conditions in newborn infants.Pediatric research · 2024
Article
Enhancing cardiac postoperative care: a smartwatch-integrated remote telemonitoring platform for health screening with ECG analysis.Frontiers in cardiovascular medicine · 2024
Article

4 · The record

Corrections and comments

Comment on
Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care.2019

5 · Who and what money

Authors and funding

5 authors.

David KalfaSection of Pediatric and Congenital Cardiac Surgery, Division of Cardiac, Thoracic, and Vascular Surgery, New York Presbyterian-Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, NY. Electronic address: dk2757@cumc.columbia.edu.

Sunil AgrawalDepartment of Mechanical Engineering, Columbia University, New York, NY.

Nimrod GoldshtromDivision of Neonatology, New York Presbyterian-Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, NY.

Damien LaParSection of Pediatric and Congenital Cardiac Surgery, Division of Cardiac, Thoracic, and Vascular Surgery, New York Presbyterian-Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, NY.

Emile BachaSection of Pediatric and Congenital Cardiac Surgery, Division of Cardiac, Thoracic, and Vascular Surgery, New York Presbyterian-Morgan Stanley Children's Hospital, Columbia University Irving Medical Center, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceIntensive Care, NeonatalForecastingHumansInfant, Newborn

Identifiers

PMID31843227

DOI10.1016/j.jtcvs.2019.08.141

What OpenQuestion holds

Textmetadata

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.