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Record W4408161458 · doi:10.1111/anae.16587

Obesity may present challenges but does not preclude gastric ultrasound

2025· letter· en· W4408161458 on OpenAlexaff
Rafael Sousa Fava Nersessian, Leopoldo M. da Silva, Glenio B. Mizubuti

Bibliographic record

VenueAnaesthesia · 2025
Typeletter
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineObesityUltrasoundIntensive care medicineInternal medicineRadiology

Abstract

fetched live from OpenAlex

We thank Yarımoglu et al. [1] for their valuable comments regarding our recently published work [2]. As noted in our methods, we had initially not included patients with BMI > 40 kg.m-2 and ASA physical status score ≥ 3 [2]. However, and as rightfully pointed out by Yarımoglu et al. [1], the data in table 1 indicate that the upper range limit of BMI was 46.4 kg.m-2 in the semaglutide group and 40.1 kg.m-2 in the non-semaglutide group [2]. Upon reviewing our data, we identified four patients with morbid obesity (BMI 40.7, 42.4, 45.1 and 46.4 kg.m-2) in the semaglutide group and one (BMI 40.1 kg.m-2) in the non-semaglutide group [2]. While we apologise for this oversight, on further review of our data, neither of these patients had increased residual gastric content upon point-of-care gastric ultrasound assessment. As per our institutional protocol, all patients (regardless of BMI) who had used semaglutide within 10 days of their elective surgical procedure underwent pre-operative bedside gastric ultrasound to mitigate the risk of bronchoaspiration which explains the inclusion of patients with morbid obesity in our dataset. In the non-semaglutide group, patients were recruited from a convenience sample of those presenting for elective procedures under anaesthesia, according to the institutional elective surgical scheduling. Given logistical constraints, it was impractical to perform gastric ultrasound in all patients during the data collection period. Importantly, despite our unintentional inclusion (in both groups) of five patients with BMI > 40 kg.m-2, the conclusions of our study remain unchanged [2]. Even with the original analysis using propensity score, no statistical difference in residual gastric content was observed related to obesity, which aligns with existing published data [3]. Our findings suggest that semaglutide use and patient age (but not BMI) were the key determinants of increased residual gastric content in our studied population. It is important to note that our studied groups were not initially matched for age, weight, BMI or sex, as the convenience sampling of non-semaglutide users remains a recognised limitation [2]. Finally, our primary reason for excluding patients with BMI > 40 kg.m-2 was the potential technical challenges in performing gastric ultrasound in this patient population, which could lead to inconclusive results. Nevertheless, several studies have shown the feasibility and validity of point-of-care gastric ultrasound to assess residual gastric content in patients with BMI > 40 kg.m-2 [4, 5]. It is important to note that all bedside gastric ultrasound assessments in our study were performed by trained/experienced professionals, thereby significantly reducing, albeit not eliminating, the potential for interpretation bias.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.023
GPT teacher head0.258
Teacher spread0.235 · 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.

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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