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Record W3083165195 · doi:10.1016/j.ijsu.2020.08.030

Open abdomen management for severe peritonitis in elderly. Results from the prospective International Register of Open Abdomen (IROA): Cohort study

2020· article· en· W3083165195 on OpenAlexaff
Stefano Rausei, Vincenzo Pappalardo, Marco Ceresoli, Fausto Catena, Massimo Sartelli, Massimo Chiarugi, Yoram Kluger, Andrew W. Kirkpatrick, Luca Ansaloni, Federico Coccolini, Giulia Montori, Francesco Salvetti, Paola Fugazzola, Ionuţ Negoi, Monica Zese, Savino Occhionorelli, S. A. Shlyapnikov, Zaza Demetrashvili, Daniele Dondossola, Orestis Ioannidis, Giuseppe Novelli, Mirco Nacoti, Desmond Khor, Kenji Inaba, Δημήτριος Δημητριάδης, Torsten Kaussen, Asri Che Jusoh, Wagih Ghannam, Boris Sakakushev, Ohad Guetta, Agron Dogjani, Stefano Costa, Sandeep Singh, Dimitrios Damaskos, Arda Işık, Kuo‐Ching Yuan, Francesco Trotta, Aleix Martínez‐Pérez, Giovanni Bellanova, Vinicius Cordeiro Fonseca, Fernando Braz Tangerino Hernández, Athanasios Marinis, Wellington Fernandes, Martha Quiodettis, Miklosh Bala, András Vereczkei, Rafael Curado, Gustavo Pereira Fraga, Bruno Monteiro Pereira, Mahir Gachabayov, Guillermo Pérez Chagerben, Miguel León Arellano, Sefa Özyazıcı, Gianluca Costa, Tugan Tezcaner, Matteo Porta, Yousheng Li, Faruk Karateke, Dimitrios K. Manatakis, Federico Mariani, Federico Lora, Ivan Sahderov, Boyko Atanasov, Sergio Zegarra, Luca Fattori, Rao R. Ivatury, Jimmy Xiao, Andrea Lippi, Mario Improta, Francesca Gubbiotti, Andrey N. Zharikov, Vincent Dubuisson, Michael Sugrue

Bibliographic record

VenueInternational Journal of Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsMedicineAbdomenPeritonitisSurgeryProspective cohort studyUnivariate analysisCohortAcute abdomenInternal medicineMultivariate analysis

Abstract

fetched live from OpenAlex

BACKGROUND: Analyzing the data of the International Register of Open Abdomen (IROA), the feasibility of open abdomen treatment has been demonstrated at every age. This new analysis on the IROA database investigates the risk factors for mortality in elderly patients treated with open abdomen for intra-abdominal infection. METHODS: Data were derived from the IROA, a prospective observational international cohort study that enrolled patients treated with open abdomen worldwide. A univariate analysis of potential risk factors was performed. Inclusion criteria were patients older than 65 years and treated with open abdomen for intra-abdominal infection. End point was overall mortality, calculated within 30 days after open abdomen management, after 1-month and 1-year follow-up. RESULTS: A total of 116 patients was analyzed with mean age of 76 ± 7 years. Definitive closure was achieved in 93 patients (93/116, 80.2%) for a mean open abdomen duration of 5.0 ± 5.0 days. Complicated patients were 101 (101/116, 87.1%) for a total of 201 complications. Overall, 62 out of 116 patients (53.4%) died: 23 patients (23/62, 37.1%) during open abdomen management, 29 patients (46.8%) within 30 days after abdominal closure, 9 patients (14.5%) after 1-month follow-up, and 1 patient (1.6%) after 1-year follow-up. Age did not affect mortality (75 ± 6 years in alive patients versus 77 ± 7 years in dead patients, p = 0.773). Definitive abdominal closure was the most important factor to prevent mortality. CONCLUSIONS: This study confirmed that age alone cannot be considered a determinant for death, even in elderly patients managed with open abdomen for severe intra-abdominal infection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.362
Teacher spread0.270 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations13
Published2020
Admission routes1
Has abstractyes

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