Evidence map›Paper›PMID 36657179›Full record

ArticlePhysiological measurement2023

Building an automated, machine learning-enabled platform for predicting post-operative complications.

Jeremy A Balch, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, Gilbert R Upchurch, Parisa Rashidi, Azra Bihorac, Tyler J Loftus

Open access · hybridAbstract read
In one paragraph

Article in Physiological measurement, 2023. 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
1.2field-weighted citation impact, top 18% of its field
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, 7 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  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

10 authors at 1 institution in 1 country.

Jeremy A BalchIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.ORCID 0000-0002-1826-7884
Matthew M RuppertIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
Benjamin ShickelIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
Tezcan Ozrazgat-BaslantiIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
Patrick J TigheDepartment of Anesthesiology, University of Florida, Gainesville, Florida, United States of America.
Philip A EfronDepartment of Surgery, University of Florida, Gainesville, Florida, United States of America.
Gilbert R UpchurchDepartment of Surgery, University of Florida, Gainesville, Florida, United States of America.
Parisa RashidiIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
Azra BihoracIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
Tyler J LoftusIntelligent Critical Care Center, University of Florida, Gainesville, FL, United States of America.
University of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Integrating data, algorithms and clinical reasoning for surgical risk assessmentR01GM110240 · NIGMS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2016 to 2025
$5.1M
Molecular Biology in Burns and TraumaT32GM008721 · NIGMS · UNIVERSITY OF FLORIDA · PI Philip A Efron · 1999 to 2026
$5.0M
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-associated AKIR01DK121730 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIHORAC, AZRA, KANE-GILL, SANDRA L · 2021 to 2025
$3.2M
ADAPT: Autonomous Delirium Monitoring and Adaptive PreventionR01NS120924 · NINDS · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2021 to 2025
$2.9M
Finding Good TEMporal PostOperative pain Signatures (TEMPOS)R01GM114290 · NIGMS · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2015 to 2019
$2.5M
Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-makingR01EB029699 · NIBIB · UNIVERSITY OF FLORIDA · PI BIHORAC, AZRA, RASHIDI, PARISA · 2021 to 2024
$2.4M
The circadian clock protein BMAL and post-translational regulation of ENaC in the kidneyR01DK123078 · NIDDK · UNIVERSITY OF FLORIDA · PI ALLI, ABDEL AYUBE · 2020 to 2024
$1.7M
Perioperative Cognitive Anesthesia Network Extension for Socially Vulnerable Older AdultsK07AG073468 · NIA · UNIVERSITY OF FLORIDA · PI TIGHE, PATRICK J · 2021 to 2025
$774k
Aligning Patient Acuity with Intensity of Care after SurgeryK23GM140268 · NIGMS · UNIVERSITY OF FLORIDA · PI LOFTUS, TYLER J · 2020 to 2023
$619k
Development and Validation of Computational Algorithms to Assess Kidney Health in Electronic Health RecordsK01DK120784 · NIDDK · UNIVERSITY OF FLORIDA · PI OZRAZGAT BASLANTI, TEZCAN · 2020 to 2023
$580k
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001427NIA NIH HHS K07 AG073468NIBIB NIH HHS R01 EB029699NIBIB NIH HHS R21 EB027344NIDDK NIH HHS K01 DK120784NIDDK NIH HHS R01 DK121730NIDDK NIH HHS R01 DK123078NIGMS NIH HHS K23 GM140268NIGMS NIH HHS R01 GM110240NIGMS NIH HHS R01 GM114290NIGMS NIH HHS T32 GM008721NINDS NIH HHS R01 NS120924
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Electronic Health RecordsMachine LearningForecastingHumansartificial intelligenceclinical decision supportmachine learningpost operative complicationssurgery

Identifiers

PMID36657179
PMCPMC9910093
OpenAlexW4317495297

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.