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Record W4409343535 · doi:10.1016/j.bjao.2025.100396

PErioperative respiratory care aNd outcomes for patients underGoing hIgh risk abdomiNal surgery (PENGUIN): a randomised international internal pilot trial

2025· article· en· W4409343535 on OpenAlexaff
Adesoji Ademuyiwa, Aneel Bhangu, Alisha Bhatt, Bruce Biccard, Sohini Chakrabortee, Richard Crawford, Jyoti Dhiman, Christina George, James Glasbey, Pollyanna Hardy, Parvez Haque, Bryar Kadir, Mwayi Kachapila, Harsharan Kaur, Divya Kapoor, Ismaïl Lawani, Rachel Lillywhite, Laura Magill, Janet Martin, Dion Morton, Rachel Moore, Omar Omar, Rupert M. Pearse, Antonio Ramos‐De la Medina, Emmy Runigamugabo, Donna Smith, Atul Suroy, Stephen Tabiri, Neil Winkles, Manisha Aggarwal, Satya Shree Balija, Pradeep Bhatia, Sharon Bannister, Julia Brown, Adam Boutall, Sona Chowdhury, Ramkaran Chaudhary, Nonkululo Daniel, Neha Desai, Parth Dhamija, Maria Fourtounas, Margot Flint, Dhruva Ghosh, Diana Gonzalez Vazquez, Jyotsna Goswami, Sunita Goyal, Anuj Goyal, Simphiwe Gumede, Gurleen Kaur Garry, Priyanka Hans, Deepak Jain, Shaman Jhanji, Ruchi Jakhar, Manoji Joshva, Karan Kumar, Amit Mahajan, Nikhil Kothari, Rajkumar Kottayasamy Seenivasagam, Vinod Kumar, Kshitij Kumar, Parmod Kumar, Vaibhav Kumar Varshney, S. Laurberg, Kate Leslie, Sonia Mathai, Maria Martínez Lara, Laura Martinez Perez Maldonado, Vishal Michael, Sanjeev Misra, Nivedita Sharma, Farhanul Hudda, Nnosa Sentholang, Puneet Pareek, Dharma Ram Poonia, Viplab Patro, Shreya Rayamajhi, Reuben Rajappa, Arti Rajkumar, Kirti Kumar Rathod, Mahaveer Singh Rodha, Sameer Sharma, Naveen Sharma, Subhash Soni, Shafiq Shajahan, Neil Smart, Marcus J. Schultz, Sunil Kumar Singh, Ravinder Singh Thind, Jeewan Ram Vishnoi, Simon Cousens, Praveen Talwar, Graeme Wilson, Ly‐Mee Yu

Bibliographic record

VenueBJA Open · 2025
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsWestern University
FundersDepartment of Health and Social CareNational Institute for Health and Care Research
KeywordsMedicinePerioperativeRandomized controlled trialAbdominal surgerySurgeryEmergency medicine

Abstract

fetched live from OpenAlex

Background Infections are a common complication of abdominal surgery in low- and middle-income countries (LMICs). The role of a high fraction of inspired oxygen (FiO 2 ) and chlorhexidine mouthwash in preventing post-operative infections is unconfirmed. Methods Internal pilot phase of an international outcome assessor-blinded, 2x2 factorial randomised trial of patients aged ≥10-years undergoing midline laparotomy in LMIC hospitals. The main trial objectives are to compare the clinical effectiveness of preoperative 0.2% chlorhexidine mouthwash in preventing pneumonia versus no mouthwash, and 80–100% perioperative FiO 2 to prevent surgical site infection (SSI) versus 21–35% FiO 2 . This 12-month internal pilot assessed feasibility of hospital site opening, patient recruitment, intervention adherence, patient follow-up and safety. Patients were randomised in a 1:1:1:1 ratio to the four intervention group combinations and followed up for 30 days. Results We recruited 927 patients from seven hospitals in India and South Africa over 12 months from November 2020. There were 907 adults (97.8%) and 20 children aged ten or over (2.2%): 89/927 (9.6%) patients died. Site opening reached 70% of our target (7/10) hospitals, and patient recruitment 107% (927/870). 917/927 (99%) patients in the mouthwash arm, and 840/927 (91%) patients in the oxygen arm received the allocated intervention. Lower adherence to the oxygen intervention related mainly to clinically necessary FiO 2 increases in the 21–35% FiO 2 arm. 30-day follow-up was completed appropriately for 924/927 (99%) patients. and was performed by a masked assessor for all patients. There were no reported safety events. Conclusion This pilot showed the feasibility and safety of a major phase III trial in post-operative infection prevention in LMICs. Trial registration ClinicalTrials.gov NCT04256798.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.357
Teacher spread0.324 · 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 designRandomized trial
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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