The Tipping Point of Medical Technology: Implications for the Postpandemic Era.

Amy C Lu, Maxime Cannesson, Nirav Kamdar

Abstract readComment

In one paragraph

Article in Anesthesia and analgesia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it

0cells of the map it votes in

6citing 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

6 citing papers in PubMed.

Trends in electronic health record metadata use for management purposes.Learning health systems · 2025
Article
Online Group Consultation on Labor Analgesia for Pregnant Women: Is It Feasible?Cureus · 2024
Article
Mixed methods protocol to examine the acceptability and clinical characteristics of a remote monitoring programme for delivery of COVID-19 care, among healthcare staff and patients.BMJ open · 2021
Article
Development, Implementation, and Evaluation of a Telemedicine Preoperative Evaluation Initiative at a Major Academic Medical Center.Anesthesia and analgesia · 2020
Article
Artificial Intelligence and technology in COVID Era: A narrative review.Journal of anaesthesiology, clinical pharmacology
Review
A Retrospective Analysis of Patients Undergoing Telemedicine Evaluation in the PreAnesthesia Testing Clinic at H. Lee Moffitt Cancer Center.Cancer control : journal of the Moffitt Cancer Center
Article

4 · The record

Corrections and comments

Comment on
The COVID-19 Pandemic Highlights Shortcomings in US Health Care Informatics Infrastructure: A Call to Action.2020

5 · Who and what money

Authors and funding

3 authors.

Amy C LuFrom the Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, California.

Maxime CannessonDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.

Nirav KamdarDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.

Funding

Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose, and Treat Hemodynamic Instability in Surgical PatientsR01HL144692 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2019 to 2023

$3.5M

Biomedical Informatics Tools for Applied Perioperative PhysiologyR01EB029751 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2020 to 2023

$2.5M

NHLBI NIH HHS R01 HL144692NIBIB NIH HHS R01 EB029751

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Coronavirus InfectionsMedical InformaticsPandemicsPneumonia, ViralBetacoronavirusCOVID-19HumansSARS-CoV-2

Identifiers

PMID32511105

DOI10.1213/ANE.0000000000005040

PMCPMC7302096

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.