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Record W4376134323 · doi:10.1186/s13017-023-00500-z

The unrestricted global effort to complete the COOL trial

2023· article· en· W4376134323 on OpenAlexaff
Andrew W. Kirkpatrick, Federico Coccolini, Matti Tolonen, Samuel Minor, Fausto Catena, Emanuel Gois, Christopher J. Doig, Michael D. Hill, Luca Ansaloni, Massimo Chiarugi, Dario Tartaglia, Orestis Ioannidis, Michael Sugrue, Elif Çolak, S. Morad Hameed, Hanna Lampela, Vanni Agnoletti, Jessica McKee, Naisan Garraway, Massimo Sartelli, Chad G. Ball, Neil Parry, Kelly Voght, Lisa Julien, Jenna Kroeker, Derek J. Roberts, Peter Faris, Corina Tiruta, Ernest E. Moore, Lee Anne Ammons, Εlissavet Anestiadou, Cino Bendinelli, Konstantinos Bouliaris, R. Carroll, Marco Ceresoli, Francesco Favi, Angela Gurrado, João Rezende-Neto, Arda Işık, Camilla Cremonini, Silivia Strambi, Georgios Koukoulis, Mario Testini, Sandy Trpcic, Alessandro Pasculli, Erika Picariello, Fikri M. Abu‐Zidan, Ademola Adeyeye, Goran Augustin, Felipe Alconchel, Yüksel Altınel, Luz Adriana Hernández-Amin, José Manuel Aranda-Narváez, Oussama Baraket, Walter L. Biffl, Gian Luca Baiocchi, Luigi Bonavina, Giuseppe Brisinda, Luca Cardinali, Andrea Celotti, Mohamed Chaouch, Maria Michela Chiarello, Gianluca Costa, Nicola de’Angelis, Nicolò de Manzini, Samir Delibegović, Salomone Di Saverio, Belinda De Simone, Vincent Dubuisson, Pietro Fransvea, Gianluca Garulli, Alessio Giordano, Carlos Augusto Gomes, Firdaus Hayati, Jinjian Huang, Aini Fahriza Ibrahim, Ruhi Fadzlyana Jailani, Mansoor A. Khan, Alfonso Palmieri Luna, Manu L. N. G. Malbrain, Sanjay Marwah, Paul B. McBeth, Andrei Mihailescu, Alessia Morello, Francesk Mulita, Valentina Murzi, Ahmad Tarmizi Mohammad, Simran Parmar, Ajay Pak, Michael Pak-Kai Wong, D Pantalone, Mauro Podda, Caterina Puccioni, Kemal Raşa, Jianan Ren, Francesco Roscio, Antonio González, Gabriele Sganga, Maximilian Scheiterle, Mihail Slavchev, Dmitry Smirnov, Lorenzo Tosi, Anand Trivedi, Jaime Andrés González-Vega, Maciej Wałędziak, Sofia Xenaki, Desmond C. Winter, Xiuwen Wu, Andee Dzulkarnean Zakaria, Zaıdı Zakarıa

Bibliographic record

VenueWorld Journal of Emergency Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsAlberta Health ServicesUniversity of OttawaQueen Elizabeth II Health Sciences CentreSt. Michael's HospitalWestern UniversityUniversity of British ColumbiaDalhousie UniversityFoothills Medical CentreUniversity of Calgary
FundersNational Institutes of Health
KeywordsMedicineLaparotomyClinical trialRandomized controlled trialIntensive care medicineAbdomenIntervention (counseling)SepsisSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Severe complicated intra-abdominal sepsis (SCIAS) has an increasing incidence with mortality rates over 80% in some settings. Mortality typically results from disruption of the gastrointestinal tract, progressive and self-perpetuating bio-mediator generation, systemic inflammation, and multiple organ failure. A further therapeutic option may be open abdomen (OA) management with negative peritoneal pressure therapy (NPPT) to remove inflammatory ascites and attenuate the systemic damage from SCIAS, although there are definite risks of leaving the abdomen open whenever it might possibly be closed. This potential therapeutic paradigm is the rationale being assessed in the Closed Or Open after Laparotomy (COOL trial) ( https://clinicaltrials.gov/ct2/show/NCT03163095 ). Initially, the COOL trial received Industry sponsorship; however, this funding mandated the use of a specific trademarked and expensive NPPT device in half of the patients allocated to the intervention (open) arm. In August 2022, the 3 M/Acelity Corporation without consultation but within the terms of the contract canceled the financial support of the trial. Although creating financial difficulty, there is now no restriction on specific NPPT devices and removing a cost-prohibitive intervention creates an opportunity to expand the COOL trial to a truly global basis. This document describes the evolution of the COOL trial, with a focus on future opportunities for global growth of the study. METHODS: The COOL trial is the largest prospective randomized controlled trial examining the random allocation of SCIAS patients intra-operatively to either formal closure of the fascia or the use of the OA with an application of an NPPT dressing. Patients are eligible if they have free uncontained intraperitoneal contamination and physiologic derangements exemplified by septic shock OR severely adverse predicted clinical outcomes. The primary outcome is intended to definitively inform global practice by conclusively evaluating 90-day survival. Initial recruitment has been lower than hoped but satisfactory, and the COOL steering committee and trial investigators intend with increased global support to continue enrollment until recruitment ensures a definitive answer. DISCUSSION: OA is mandated in many cases of SCIAS such as the risk of abdominal compartment syndrome associated with closure, or a planned second look as for example part of "damage control"; however, improved source control (locally and systemically) is the most uncertain indication for an OA. The COOL trial seeks to expand potential sites and proceed with the evaluation of NPPT agnostic to device, to properly examine the hypothesis that this treatment attenuates systemic damage and improves survival. This approach will not affect internal validity and should improve the external validity of any observed results of the intervention. TRIAL REGISTRATION: National Institutes of Health ( https://clinicaltrials.gov/ct2/show/NCT03163095 ).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.090
metaresearch head score (Gemma)0.119
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.090
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0900.119
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0070.004
Open science0.0020.006
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0530.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.347
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2023
Admission routes1
Has abstractyes

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