Evidence map›Paper›PMID 38826207›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: The TECTONICS Randomised Clinical Trial.

Christopher R King, Bradley A Fritz, Stephen H Gregory, Thaddeus P Budelier, Arbi Ben Abdallah, Alex Kronzer, Daniel L Helsten, Brian Torres, Sherry L McKinnon, Sandhya Tripathi and 15 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03923699 (Telemedicine Control Tower for the Operating Room), which is not on this 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.

NCT03923699 phase3completednot on this map

Telemedicine Control Tower for the Operating Room: Navigating Information, Care and Safety - Randomized Pragmatic Trial

TypeinterventionalSponsorWashington University School of MedicineRan2019 to 2023Enrolled79,560ConditionsSurgery, Surgery--Complications, Perioperative/Postoperative ComplicationsArmsAnesthesia Control Tower monitoring
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

5 · Who and what money

Authors and funding

25 authors.

Christopher R KingORCID 0000-0002-4574-8616
Stephen H Gregory
Thaddeus P BudelierORCID 0000-0002-8427-5583
Arbi Ben AbdallahORCID 0000-0002-1287-0455
Alex Kronzer
Daniel L Helsten
Brian Torres
Sherry L McKinnon
Mohamed AbdelhackORCID 0000-0002-6753-3237
Shreya Goswami
Arianna Montes de Oca
Divya Mehta
Miguel A Valdez
Evangelos KaranikolasORCID 0009-0007-2807-2208
Omokhaye Higo
Paul Kerby
Bernadette Henrichs
Mary C Politi
Joanna Abraham
Thomas KannampallilORCID 0000-0003-4119-4836
ACTFAST collaborator group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Novel applications of telemedicine can improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied. Methods: This single centre randomised clinical trial (RCT, clinicaltrials.gov NCT03923699 ) of unselected adult surgical patients was conducted between 2019-07-01 and 2023-01-31. Patients received usual-care or decision support from a telemedicine service, the Anesthesiology Control Tower (ACT). The ACT provided real-time recommendations to intraoperative anaesthesia clinicians based on case reviews and physiologic alerts. ORs were randomised 1:1. Co-primary outcomes of 30-day all-cause mortality, respiratory failure, acute kidney injury (AKI), and delirium in the Intensive Care Unit (ICU) were analysed as intention-to-treat. Results: The trial completed with 71927 surgeries (35302 ACT; 36625 usual care). The ACT performed 11812 case reviews and communicated alerts regarding 2044 intervention-group patients. There was no significant effect of the ACT vs. usual care on 30-day mortality [630/35302 (1.8%) vs 649/36625 (1.8%), RR 1.01 (95% CI 0.87 to 1.16), p=0.98], respiratory failure [1071/33996 (3.2%) vs 1130/35236 (3.2%), RR 0.98 (95% CI 0.88 to 1.09), p=0.98], AKI [2316/33251 (7.0%) vs 2432/34441 (7.1%), RR 0.99 (95% CI 0.92 to 1.06), p=0.98] or delirium [1264/3873 (32.6%) vs 1298/4044 (32.1%), RR 1.02 (95% CI 0.94 to 1.10), p=0.98]. There were no significant differences in secondary outcomes or sensitivity analyses. Conclusions: In this large RCT of intraoperative telemedicine decision support using real-time alerts and case reviews, we found no significant differences in postoperative outcomes. Large-scale intraoperative telemedicine is feasible, and we suggest avenues where it may be more impactful.

Identifiers

PMID38826207
PMCPMC11142280

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Registered trials

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.